Affiliations
Department of Medicine, University of Chicago
Email
arpana@medicine.ucsf.edu
Given name(s)
Arpana R.
Family name
Vidyarthi
Degrees
MD

Hot in the tropics

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Sun, 06/18/2017 - 20:40

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient’s case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant. The bolded text represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.
 

A 42-year-old Malaysian construction worker with subjective fevers of 4 days’ duration presented to an emergency department in Singapore. He reported nonproductive cough, chills without rigors, sore throat, and body aches. He denied sick contacts. Past medical history included chronic hepatitis B virus (HBV) infection. The patient was not taking any medications.

For this patient presenting acutely with subjective fevers, nonproductive cough, chills, aches, and lethargy, initial considerations include infection with a common virus (influenza virus, adenovirus, Epstein-Barr virus [EBV]), acute human immunodeficiency virus (HIV) infection, emerging infection (severe acute respiratory syndrome [SARS], Middle Eastern respiratory syndrome coronavirus [MERS-CoV] infection, avian influenza), and tropical infection (dengue, chikungunya). Also possible are bacterial infections (eg, with Salmonella typhi or Rickettsia or Mycoplasma species), parasitic infections (eg, malaria), and noninfectious illnesses (eg, autoimmune diseases, thyroiditis, acute leukemia, environmental exposures).

The patient’s temperature was 38.5°C; blood pressure, 133/73 mm Hg; heart rate, 95 beats per minute; respiratory rate, 18 breaths per minute; and oxygen saturation, 100% on ambient air. On physical examination, he appeared comfortable, and heart, lung, abdomen, skin, and extremities were normal. Laboratory test results included white blood cell (WBC) count, 4400/μL (with normal differential); hemoglobin, 16.1 g/dL; and platelet count, 207,000/μL. Serum chemistries were normal. C-reactive protein (CRP) level was 44.6 mg/L (reference range, 0.2-9.1 mg/L), and procalcitonin level was 0.13 ng/mL (reference range, <0.50 ng/mL). Chest radiograph was normal. Dengue antibodies (immunoglobulin M, immunoglobulin G [IgG]) and dengue NS1 antigen were negative. The patient was discharged with a presumptive diagnosis of viral upper respiratory tract infection.

There is no left shift characteristic of bacterial infection or lymphopenia characteristic of rickettsial disease or acute HIV infection. The serologic testing and the patient’s overall appearance make dengue unlikely. The low procalcitonin supports a nonbacterial cause of illness. CRP elevation may indicate an inflammatory process and is relatively nonspecific.

Myalgias, pharyngitis, and cough improved over several days, but fevers persisted, and a rash developed over the lower abdomen. The patient returned to the emergency department and was admitted. He denied weight loss and night sweats. He had multiple female sexual partners, including commercial sex workers, within the previous 6 months. Temperature was 38.5°C. The posterior oropharynx was slightly erythematous. There was no lymphadenopathy. Firm, mildly erythematous macules were present on the anterior abdominal wall (Figure 1). The rest of the physical examination was normal.

Skin lesions on abdominal wall.
Figure 1

Laboratory testing revealed WBC count, 5800/μL (75% neutrophils, 19% lymphocytes, 3% monocytes, 2% atypical mononuclear cells); hemoglobin, 16.3 g/dL; platelet count, 185,000/μL; sodium, 131 mmol/L; potassium, 3.4 mmol/L; creatinine, 0.9 mg/dL; albumin, 3.2 g/dL; alanine aminotransferase (ALT), 99 U/L; aspartate aminotransferase (AST), 137 U/L; alkaline phosphatase (ALP), 63 U/L; and total bilirubin, 1.9 mg/dL. Prothrombin time was 11.1 seconds; partial thromboplastin time, 36.1 seconds; erythrocyte sedimentation rate, 14 mm/h; and CRP, 62.2 mg/L.

EBV, acute HIV, and cytomegalovirus infections often present with adenopathy, which is absent here. Disseminated gonococcal infection can manifest with fever, body aches, and rash, but his rash and the absence of penile discharge, migratory arthritis, and enthesitis are not characteristic. Mycoplasma infection can present with macules, urticaria, or erythema multiforme. Rickettsia illnesses typically cause vasculitis with progression to petechiae or purpura resulting from endothelial damage. Patients with secondary syphilis may have widespread macular lesions, and the accompanying syphilitic hepatitis often manifests with elevations in ALP instead of ALT and AST. The mild elevation in ALT and AST can occur with many systemic viral infections. Sweet syndrome may manifest with febrile illness and rash, but the acuity of this patient’s illness and the rapid evolution favor infection.

The patient’s fevers (35°-40°C) continued without pattern over the next 3 days. Blood and urine cultures were negative. Polymerase chain reaction (PCR) test of the nasal mucosa was negative for respiratory viruses. PCR blood tests for EBV, HIV-1, and cytomegalovirus were also negative. Antistreptolysin O (ASO) titer was 400 IU/mm (reference range, <200 IU/mm). Antinuclear antibodies were negative, and rheumatoid factor was 12.4 U/mL (reference range, <10.3 U/mL). Computed tomography (CT) of the thorax, abdomen, and pelvis was normal. Results of a biopsy of an anterior abdominal wall skin lesion showed perivascular and periadnexal lymphocytic inflammation. Amoxicillin was started for the treatment of possible group A streptococcal infection.

 

 

PCR for HIV would be positive at a high level in acute HIV. The skin biopsy is not characteristic of Sweet syndrome, which typically shows neutrophilic infiltrate without leukocytoclastic vasculitis, or of syphilis, which typically shows a plasma cell infiltrate.

The patient’s erythematous oropharynx may indicate recent streptococcal pharyngitis. The fevers, elevated ASO titer, and CRP level are consistent with acute rheumatic fever, but arthritis, carditis, and neurologic manifestations are lacking. Erythema marginatum manifests on the trunk and limbs as macules or papules with central clearing as the lesions spread outward—and differs from the patient’s rash, which is firm and restricted to the abdominal wall.

Fevers persisted through hospital day 7. The WBC count was 1100/μL (75.7% neutrophils, 22.5% lymphocytes), hemoglobin was 10.3 g/dL, and platelet count was 52,000/μL. Additional laboratory test results included ALP, 234 U/L; ALT, 250 U/L; AST, 459 U/L; lactate dehydrogenase, 2303 U/L (reference range, 222-454 U/L); and ferritin, 14,964 ng/mL (reference range, 47-452 ng/mL).

The duration of illness and negative diagnostic tests for infections increases suspicion for a noninfectious illness. Conditions commonly associated with marked hyperferritinemia include adult-onset Still disease (AOSD) and hemophagocytic lymphohistiocytosis (HLH). Of the 9 AOSD diagnostic (Yamaguchi) criteria, 5 are met in this case: fever, rash, sore throat, abnormal liver function tests, and negative rheumatologic tests. However, the patient lacks arthritis, leukocytosis, lymphadenopathy, and hepatosplenomegaly. Except for the elevated ferritin, the AOSD criteria overlap substantially with the criteria for acute rheumatic fever, and still require that infections be adequately excluded. HLH, a state of abnormal immune activation with resultant organ dysfunction, can be a primary disorder, but in adults more often is secondary to underlying infectious, autoimmune, or malignant (often lymphoma) conditions. Elevated ferritin, cytopenias, elevated ALT and AST, elevated CRP and erythrocyte sedimentation rate, and elevated lactate dehydrogenase are consistent with HLH. The HLH diagnosis can be more firmly established with the more specific findings of hypertriglyceridemia, hypofibrinogenemia, and elevated soluble CD25 level. The histopathologic finding of hemophagocytosis in the bone marrow, lymph nodes, or liver may further support the diagnosis of HLH.

Rash and fevers persisted. Hepatitis A, hepatitis C, Rickettsia IgG, Burkholderia pseudomallei (the causative organism of melioidosis), and Leptospira serologies, as well as PCR for herpes simplex virus and parvovirus, were all negative. Hepatitis B viral load was 962 IU/mL (2.98 log), hepatitis B envelope antigen was negative, and hepatitis B envelope antibody was positive. Orientia tsutsugamushi (organism responsible for scrub typhus) IgG titer was elevated at 1:128. Antiliver kidney microsomal antibodies and antineutrophil cytoplasmic antibodies were negative. Fibrinogen level was 0.69 g/L (reference range, 1.8-4.8 g/L), and beta-2 microglobulin level was 5078 ng/mL (reference range, 878-2000 ng/mL). Bone marrow biopsy results showed hypocellular marrow with suppressed myelopoiesis, few atypical lymphoid cells, and few hemophagocytes. Flow cytometry was negative for clonal B lymphocytes and aberrant expression of T lymphocytes. Bone marrow myobacterial PCR and fungal cultures were negative.

The patient’s chronic HBV infection is unlikely to be related to his presentation given his low viral load and absence of signs of hepatic dysfunction. Excluding rickettsial disease requires paired acute and convalescent serologies. O tsutsugamushi, the causative agent of the rickettsial disease scrub typhus, is endemic in Malaysia; thus, his positive O tsutsugamushi IgG may indicate past exposure. His fevers, myalgias, truncal rash, and hepatitis are consistent with scrub typhus, but he lacks the characteristic severe headache and generalized lymphadenopathy. Although eschar formation with evolution of a papular rash is common in scrub typhus, it is often absent in the variant found in Southeast Asia. Although elevated β2 microglobulin level is used as a prognostic marker in multiple myeloma and Waldenström macroglobulinemia, it can be elevated in many immune-active states. The patient likely has HLH, which is supported by the hemophagocytosis seen on bone marrow biopsy, and the hypofibrinogenemia. Potential HLH triggers include O tsutsugamushi infection or recent streptococcal pharyngitis.

A deep-punch skin biopsy of the anterior abdominal wall skin lesion was performed because of the absence of subcutaneous fat in the first biopsy specimen. The latest biopsy results showed irregular interstitial expansion of medium-size lymphocytes in a lobular panniculated pattern. The lymphocytes contained enlarged, irregularly contoured nucleoli and were positive for T-cell markers CD2 and CD3 with reduction in CD5 expression. The lymphomatous cells were of CD8+ with uniform expression of activated cytotoxic granule protein granzyme B and were positive for T-cell hemireceptor β.

Positron emission tomography (PET) CT, obtained for staging purposes, showed multiple hypermetabolic subcutaneous and cutaneous lesions over the torso and upper and lower limbs—compatible with lymphomatous infiltrates (Figure 2). Examination, pathology, and imaging findings suggested a rare neoplasm: subcutaneous panniculitis-like T-cell lymphoma (SPTCL). SPTCL was confirmed by T-cell receptor gene rearrangements studies.

Positron emission tomography computed tomography shows multiple fluorodeoxyglucose-avid cutaneous lesions (green) with surrounding patchy foci of subcutaneous fat stranding (blue-grey) in anterior abdominal wall and upper left arm, compatible with areas o
Figure 2

HLH was diagnosed on the basis of the fevers, cytopenias, hypofibrinogenemia, elevated
ferritin level, and evidence of hemophagocytosis. SPTCL was suspected as the HLH trigger.

The patient was treated with cyclophosphamide, hydroxydoxorubicin, vincristine, and prednisone. While on this regimen, he developed new skin lesions, and his ferritin level was persistently elevated. He was switched to romidepsin, a histone deacetylase inhibitor that specifically targets cutaneous T-cell lymphoma, but the lesions continued to progress. The patient then was treated with gemcitabine, dexamethasone, and cisplatin, and the rashes resolved. The most recent PET-CT showed nearly complete resolution of the subcutaneous lesions.

 

 

DISCUSSION

When residents or visitors to tropical or sub-tropical regions, those located near or between the Tropics of Cancer and Capricorn, present with fever, physicians usually first think of infectious diseases. This patient’s case is a reminder that these important first considerations should not be the last.

Generating a differential diagnosis for tropical illnesses begins with the patient’s history. Factors to be considered include location (regional disease prevalence), exposures (food/water ingestion, outdoor work/recreation, sexual contact, animal contact), and timing (temporal relationship of symptom development to possible exposure). Common tropical infections are malaria, dengue, typhoid, and emerging infections such as chikungunya, avian influenza, and Zika virus infection.1This case underscores the need to analyze diagnostic tests critically. Interpreting tests as simply positive or negative, irrespective of disease features, epidemiology, and test characteristics, can contribute to diagnostic error. For example, the patient’s positive ASO titer requires an understanding of disease features and a nuanced interpretation based on the clinical presentation. The erythematous posterior oropharynx prompted concern for postinfectious sequelae of streptococcal pharyngitis, but his illness was more severe and more prolonged than is typical of that condition. The isolated elevated O tsutsugamushi IgG titer provides an example of the role of epidemiology in test interpretation. Although a single positive value might indicate a new exposure for a visitor to an endemic region, IgG seropositivity in Singapore, where scrub typhus is endemic, likely reflects prior exposure to the organism. Diagnosing an acute scrub typhus infection in a patient in an endemic region requires PCR testing. The skin biopsy results highlight the importance of understanding test characteristics. A skin biopsy specimen must be adequate in order to draw valid and accurate conclusions. In this case, the initial skin biopsy was superficial, and the specimen inadequate, but the test was not “negative.” In the diagnostic skin biopsy, deeper tissue was sampled, and panniculitis (inflammation of subcutaneous fat), which arises in inflammatory, infectious, traumatic, enzymatic, and malignant conditions, was identified. An adequate biopsy specimen that contains subcutaneous fat is essential in making this diagnosis.2This patient eventually manifested several elements of hemophagocytic lymphohistiocytosis (HLH), a syndrome of excessive inflammation and resultant organ injury relating to abnormal immune activation and excessive inflammation. HLH results from deficient down-regulation of activated macrophages and lymphocytes.3 It was initially described in pediatric patients but is now recognized in adults, and associated with mortality as high as 50%.3 A high ferritin level (>2000 ng/mL) has 70% sensitivity and 68% specificity for pediatric HLH and should trigger consideration of HLH in any age group.4 The diagnostic criteria for HLH initially proposed in 2004 by the Histiocyte Society to identify patients for recruitment into a clinical trial included molecular testing consistent with HLH and/or 5 of 8 clinical, laboratory, or histopathologic features (Table 1).5 HScore is a more recent validated scoring system that predicts the probability of HLH (Table 2). A score above 169 signifies diagnostic sensitivity of 93% and specificity of 86%.6

Diagnostic Criteria for Hemophagocytic Lymphohistiocytosis
Table 1

The diagnosis of HLH warrants a search for its underlying cause. Common triggers are viral infections (eg, EBV), autoimmune diseases (eg, systemic lupus erythematosus), and hematologic malignancies. These triggers typically stimulate or suppress the immune system. Initial management involves treatment of the underlying trigger and, potentially, immunosuppression with high-dose corticosteroids or cytotoxic agents (eg, etoposide). Primary HLH is an inherited immunodeficiency, and treatment often culminates in stem cell transplantation.5

In this case, SPTCL triggered HLH. SPTCL is a rare non-Hodgkin lymphoma characterized by painless subcutaneous nodules or indurated plaques (panniculitis-like) on the trunk or extremities, constitutional symptoms, and, in some cases, HLH.7-10 SPTCL is diagnosed by deep skin biopsy, with immunohistochemistry showing CD8-positive pathologic T cells expressing cytotoxic proteins (eg, granzyme B).9,11 SPTCL can either have an alpha/beta T-cell phenotype (SPTCL-AB) or gamma/delta T-cell phenotype (SPTCL-GD). Seventeen percent of patients with SPTCL-AB and 45% of patients with SPTCL-GD have HLH on diagnosis. Concomitant HLH is associated with decreased 5-year survival.12This patient presented with fevers and was ultimately diagnosed with HLH secondary to SPLTCL. His case is a reminder that not all diseases in the tropics are tropical diseases. In the diagnosis of a febrile illness, a broad evaluative framework and rigorous test results evaluation are essential—no matter where a patient lives or visits.

HScore for Diagnosing Hemophagocytic Lymphohistiocytosis (HLH)
Table 2

KEY TEACHING POINTS

  • A febrile illness acquired in the tropics is not always attributable to a tropical infection.
  • To avoid diagnostic error, weigh positive or negative test results against disease features, patient epidemiology, and test characteristics.
  • HLH is characterized by fevers, cytopenias, hepatosplenomegaly, hyperferritinemia, hypertriglyceridemia, and hypofibrinogenemia. In tissue specimens, hemophagocytosis may help differentiate HLH from competing conditions.
  • After HLH is diagnosed, try to determine its underlying cause, which may be an infection, autoimmunity, or a malignancy (commonly, a lymphoma).
 

 

Disclosure

Nothing to report.

 

References

1. Centers for Disease Control and Prevention. Destinations [list]. http://wwwnc.cdc.gov/travel/destinations/list/. Accessed April 22, 2016.
2. Diaz Cascajo C, Borghi S, Weyers W. Panniculitis: definition of terms and diagnostic strategy. Am J Dermatopathol. 2000;22(6):530-549. PubMed
3. Ramos-Casals M, Brito-Zerón P, López-Guillermo A, Khamashta MA, Bosch X. Adult haemophagocytic syndrome. Lancet. 2014;383(9927):1503-1516. PubMed
4. Lehmberg K, McClain KL, Janka GE, Allen CE. Determination of an appropriate cut-off value for ferritin in the diagnosis of hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2014;61(11):2101-2103PubMed
5. Henter JI, Horne A, Aricó M, et al. HLH-2004: diagnostic and therapeutic guidelines for hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2007;48(2):124-131. PubMed
6. Fardet L, Galicier L, Lambotte O, et al. Development and validation of the HScore, a score for the diagnosis of reactive hemophagocytic syndrome. Arthritis Rheumatol. 2014;66(9):2613-2620PubMed
7. Aronson IK, Worobed CM. Cytophagic histiocytic panniculitis and hemophagocytic lymphohistiocytosis: an overview. Dermatol Ther. 2010;23(4):389-402. PubMed
8. Willemze R, Jansen PM, Cerroni L, et al; EORTC Cutaneous Lymphoma Group. Subcutaneous panniculitis-like T-cell lymphoma: definition, classification, and prognostic factors: an EORTC Cutaneous Lymphoma Group study of 83 cases. Blood. 2008;111(2):838-845. PubMed
9. Kumar S, Krenacs L, Medeiros J, et al. Subcutaneous panniculitic T-cell lymphoma is a tumor of cytotoxic T lymphocytes. Hum Pathol. 1998;29(4):397-403. PubMed
10. Salhany KE, Macon WR, Choi JK, et al. Subcutaneous panniculitis-like T-cell lymphoma: clinicopathologic, immunophenotypic, and genotypic analysis of alpha/beta and gamma/delta subtypes. Am J Surg Pathol. 1998;22(7):881-893. PubMed
11. Jaffe ES, Nicolae A, Pittaluga S. Peripheral T-cell and NK-cell lymphomas in the WHO classification: pearls and pitfalls. Mod Pathol. 2013;26(suppl 1):S71-S87. PubMed
12. Willemze R, Hodak E, Zinzani PL, Specht L, Ladetto M; ESMO Guidelines Working Group. Primary cutaneous lymphomas: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2013;24(suppl 6):vi149-vi154. PubMed

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The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient’s case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant. The bolded text represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.
 

A 42-year-old Malaysian construction worker with subjective fevers of 4 days’ duration presented to an emergency department in Singapore. He reported nonproductive cough, chills without rigors, sore throat, and body aches. He denied sick contacts. Past medical history included chronic hepatitis B virus (HBV) infection. The patient was not taking any medications.

For this patient presenting acutely with subjective fevers, nonproductive cough, chills, aches, and lethargy, initial considerations include infection with a common virus (influenza virus, adenovirus, Epstein-Barr virus [EBV]), acute human immunodeficiency virus (HIV) infection, emerging infection (severe acute respiratory syndrome [SARS], Middle Eastern respiratory syndrome coronavirus [MERS-CoV] infection, avian influenza), and tropical infection (dengue, chikungunya). Also possible are bacterial infections (eg, with Salmonella typhi or Rickettsia or Mycoplasma species), parasitic infections (eg, malaria), and noninfectious illnesses (eg, autoimmune diseases, thyroiditis, acute leukemia, environmental exposures).

The patient’s temperature was 38.5°C; blood pressure, 133/73 mm Hg; heart rate, 95 beats per minute; respiratory rate, 18 breaths per minute; and oxygen saturation, 100% on ambient air. On physical examination, he appeared comfortable, and heart, lung, abdomen, skin, and extremities were normal. Laboratory test results included white blood cell (WBC) count, 4400/μL (with normal differential); hemoglobin, 16.1 g/dL; and platelet count, 207,000/μL. Serum chemistries were normal. C-reactive protein (CRP) level was 44.6 mg/L (reference range, 0.2-9.1 mg/L), and procalcitonin level was 0.13 ng/mL (reference range, <0.50 ng/mL). Chest radiograph was normal. Dengue antibodies (immunoglobulin M, immunoglobulin G [IgG]) and dengue NS1 antigen were negative. The patient was discharged with a presumptive diagnosis of viral upper respiratory tract infection.

There is no left shift characteristic of bacterial infection or lymphopenia characteristic of rickettsial disease or acute HIV infection. The serologic testing and the patient’s overall appearance make dengue unlikely. The low procalcitonin supports a nonbacterial cause of illness. CRP elevation may indicate an inflammatory process and is relatively nonspecific.

Myalgias, pharyngitis, and cough improved over several days, but fevers persisted, and a rash developed over the lower abdomen. The patient returned to the emergency department and was admitted. He denied weight loss and night sweats. He had multiple female sexual partners, including commercial sex workers, within the previous 6 months. Temperature was 38.5°C. The posterior oropharynx was slightly erythematous. There was no lymphadenopathy. Firm, mildly erythematous macules were present on the anterior abdominal wall (Figure 1). The rest of the physical examination was normal.

Skin lesions on abdominal wall.
Figure 1

Laboratory testing revealed WBC count, 5800/μL (75% neutrophils, 19% lymphocytes, 3% monocytes, 2% atypical mononuclear cells); hemoglobin, 16.3 g/dL; platelet count, 185,000/μL; sodium, 131 mmol/L; potassium, 3.4 mmol/L; creatinine, 0.9 mg/dL; albumin, 3.2 g/dL; alanine aminotransferase (ALT), 99 U/L; aspartate aminotransferase (AST), 137 U/L; alkaline phosphatase (ALP), 63 U/L; and total bilirubin, 1.9 mg/dL. Prothrombin time was 11.1 seconds; partial thromboplastin time, 36.1 seconds; erythrocyte sedimentation rate, 14 mm/h; and CRP, 62.2 mg/L.

EBV, acute HIV, and cytomegalovirus infections often present with adenopathy, which is absent here. Disseminated gonococcal infection can manifest with fever, body aches, and rash, but his rash and the absence of penile discharge, migratory arthritis, and enthesitis are not characteristic. Mycoplasma infection can present with macules, urticaria, or erythema multiforme. Rickettsia illnesses typically cause vasculitis with progression to petechiae or purpura resulting from endothelial damage. Patients with secondary syphilis may have widespread macular lesions, and the accompanying syphilitic hepatitis often manifests with elevations in ALP instead of ALT and AST. The mild elevation in ALT and AST can occur with many systemic viral infections. Sweet syndrome may manifest with febrile illness and rash, but the acuity of this patient’s illness and the rapid evolution favor infection.

The patient’s fevers (35°-40°C) continued without pattern over the next 3 days. Blood and urine cultures were negative. Polymerase chain reaction (PCR) test of the nasal mucosa was negative for respiratory viruses. PCR blood tests for EBV, HIV-1, and cytomegalovirus were also negative. Antistreptolysin O (ASO) titer was 400 IU/mm (reference range, <200 IU/mm). Antinuclear antibodies were negative, and rheumatoid factor was 12.4 U/mL (reference range, <10.3 U/mL). Computed tomography (CT) of the thorax, abdomen, and pelvis was normal. Results of a biopsy of an anterior abdominal wall skin lesion showed perivascular and periadnexal lymphocytic inflammation. Amoxicillin was started for the treatment of possible group A streptococcal infection.

 

 

PCR for HIV would be positive at a high level in acute HIV. The skin biopsy is not characteristic of Sweet syndrome, which typically shows neutrophilic infiltrate without leukocytoclastic vasculitis, or of syphilis, which typically shows a plasma cell infiltrate.

The patient’s erythematous oropharynx may indicate recent streptococcal pharyngitis. The fevers, elevated ASO titer, and CRP level are consistent with acute rheumatic fever, but arthritis, carditis, and neurologic manifestations are lacking. Erythema marginatum manifests on the trunk and limbs as macules or papules with central clearing as the lesions spread outward—and differs from the patient’s rash, which is firm and restricted to the abdominal wall.

Fevers persisted through hospital day 7. The WBC count was 1100/μL (75.7% neutrophils, 22.5% lymphocytes), hemoglobin was 10.3 g/dL, and platelet count was 52,000/μL. Additional laboratory test results included ALP, 234 U/L; ALT, 250 U/L; AST, 459 U/L; lactate dehydrogenase, 2303 U/L (reference range, 222-454 U/L); and ferritin, 14,964 ng/mL (reference range, 47-452 ng/mL).

The duration of illness and negative diagnostic tests for infections increases suspicion for a noninfectious illness. Conditions commonly associated with marked hyperferritinemia include adult-onset Still disease (AOSD) and hemophagocytic lymphohistiocytosis (HLH). Of the 9 AOSD diagnostic (Yamaguchi) criteria, 5 are met in this case: fever, rash, sore throat, abnormal liver function tests, and negative rheumatologic tests. However, the patient lacks arthritis, leukocytosis, lymphadenopathy, and hepatosplenomegaly. Except for the elevated ferritin, the AOSD criteria overlap substantially with the criteria for acute rheumatic fever, and still require that infections be adequately excluded. HLH, a state of abnormal immune activation with resultant organ dysfunction, can be a primary disorder, but in adults more often is secondary to underlying infectious, autoimmune, or malignant (often lymphoma) conditions. Elevated ferritin, cytopenias, elevated ALT and AST, elevated CRP and erythrocyte sedimentation rate, and elevated lactate dehydrogenase are consistent with HLH. The HLH diagnosis can be more firmly established with the more specific findings of hypertriglyceridemia, hypofibrinogenemia, and elevated soluble CD25 level. The histopathologic finding of hemophagocytosis in the bone marrow, lymph nodes, or liver may further support the diagnosis of HLH.

Rash and fevers persisted. Hepatitis A, hepatitis C, Rickettsia IgG, Burkholderia pseudomallei (the causative organism of melioidosis), and Leptospira serologies, as well as PCR for herpes simplex virus and parvovirus, were all negative. Hepatitis B viral load was 962 IU/mL (2.98 log), hepatitis B envelope antigen was negative, and hepatitis B envelope antibody was positive. Orientia tsutsugamushi (organism responsible for scrub typhus) IgG titer was elevated at 1:128. Antiliver kidney microsomal antibodies and antineutrophil cytoplasmic antibodies were negative. Fibrinogen level was 0.69 g/L (reference range, 1.8-4.8 g/L), and beta-2 microglobulin level was 5078 ng/mL (reference range, 878-2000 ng/mL). Bone marrow biopsy results showed hypocellular marrow with suppressed myelopoiesis, few atypical lymphoid cells, and few hemophagocytes. Flow cytometry was negative for clonal B lymphocytes and aberrant expression of T lymphocytes. Bone marrow myobacterial PCR and fungal cultures were negative.

The patient’s chronic HBV infection is unlikely to be related to his presentation given his low viral load and absence of signs of hepatic dysfunction. Excluding rickettsial disease requires paired acute and convalescent serologies. O tsutsugamushi, the causative agent of the rickettsial disease scrub typhus, is endemic in Malaysia; thus, his positive O tsutsugamushi IgG may indicate past exposure. His fevers, myalgias, truncal rash, and hepatitis are consistent with scrub typhus, but he lacks the characteristic severe headache and generalized lymphadenopathy. Although eschar formation with evolution of a papular rash is common in scrub typhus, it is often absent in the variant found in Southeast Asia. Although elevated β2 microglobulin level is used as a prognostic marker in multiple myeloma and Waldenström macroglobulinemia, it can be elevated in many immune-active states. The patient likely has HLH, which is supported by the hemophagocytosis seen on bone marrow biopsy, and the hypofibrinogenemia. Potential HLH triggers include O tsutsugamushi infection or recent streptococcal pharyngitis.

A deep-punch skin biopsy of the anterior abdominal wall skin lesion was performed because of the absence of subcutaneous fat in the first biopsy specimen. The latest biopsy results showed irregular interstitial expansion of medium-size lymphocytes in a lobular panniculated pattern. The lymphocytes contained enlarged, irregularly contoured nucleoli and were positive for T-cell markers CD2 and CD3 with reduction in CD5 expression. The lymphomatous cells were of CD8+ with uniform expression of activated cytotoxic granule protein granzyme B and were positive for T-cell hemireceptor β.

Positron emission tomography (PET) CT, obtained for staging purposes, showed multiple hypermetabolic subcutaneous and cutaneous lesions over the torso and upper and lower limbs—compatible with lymphomatous infiltrates (Figure 2). Examination, pathology, and imaging findings suggested a rare neoplasm: subcutaneous panniculitis-like T-cell lymphoma (SPTCL). SPTCL was confirmed by T-cell receptor gene rearrangements studies.

Positron emission tomography computed tomography shows multiple fluorodeoxyglucose-avid cutaneous lesions (green) with surrounding patchy foci of subcutaneous fat stranding (blue-grey) in anterior abdominal wall and upper left arm, compatible with areas o
Figure 2

HLH was diagnosed on the basis of the fevers, cytopenias, hypofibrinogenemia, elevated
ferritin level, and evidence of hemophagocytosis. SPTCL was suspected as the HLH trigger.

The patient was treated with cyclophosphamide, hydroxydoxorubicin, vincristine, and prednisone. While on this regimen, he developed new skin lesions, and his ferritin level was persistently elevated. He was switched to romidepsin, a histone deacetylase inhibitor that specifically targets cutaneous T-cell lymphoma, but the lesions continued to progress. The patient then was treated with gemcitabine, dexamethasone, and cisplatin, and the rashes resolved. The most recent PET-CT showed nearly complete resolution of the subcutaneous lesions.

 

 

DISCUSSION

When residents or visitors to tropical or sub-tropical regions, those located near or between the Tropics of Cancer and Capricorn, present with fever, physicians usually first think of infectious diseases. This patient’s case is a reminder that these important first considerations should not be the last.

Generating a differential diagnosis for tropical illnesses begins with the patient’s history. Factors to be considered include location (regional disease prevalence), exposures (food/water ingestion, outdoor work/recreation, sexual contact, animal contact), and timing (temporal relationship of symptom development to possible exposure). Common tropical infections are malaria, dengue, typhoid, and emerging infections such as chikungunya, avian influenza, and Zika virus infection.1This case underscores the need to analyze diagnostic tests critically. Interpreting tests as simply positive or negative, irrespective of disease features, epidemiology, and test characteristics, can contribute to diagnostic error. For example, the patient’s positive ASO titer requires an understanding of disease features and a nuanced interpretation based on the clinical presentation. The erythematous posterior oropharynx prompted concern for postinfectious sequelae of streptococcal pharyngitis, but his illness was more severe and more prolonged than is typical of that condition. The isolated elevated O tsutsugamushi IgG titer provides an example of the role of epidemiology in test interpretation. Although a single positive value might indicate a new exposure for a visitor to an endemic region, IgG seropositivity in Singapore, where scrub typhus is endemic, likely reflects prior exposure to the organism. Diagnosing an acute scrub typhus infection in a patient in an endemic region requires PCR testing. The skin biopsy results highlight the importance of understanding test characteristics. A skin biopsy specimen must be adequate in order to draw valid and accurate conclusions. In this case, the initial skin biopsy was superficial, and the specimen inadequate, but the test was not “negative.” In the diagnostic skin biopsy, deeper tissue was sampled, and panniculitis (inflammation of subcutaneous fat), which arises in inflammatory, infectious, traumatic, enzymatic, and malignant conditions, was identified. An adequate biopsy specimen that contains subcutaneous fat is essential in making this diagnosis.2This patient eventually manifested several elements of hemophagocytic lymphohistiocytosis (HLH), a syndrome of excessive inflammation and resultant organ injury relating to abnormal immune activation and excessive inflammation. HLH results from deficient down-regulation of activated macrophages and lymphocytes.3 It was initially described in pediatric patients but is now recognized in adults, and associated with mortality as high as 50%.3 A high ferritin level (>2000 ng/mL) has 70% sensitivity and 68% specificity for pediatric HLH and should trigger consideration of HLH in any age group.4 The diagnostic criteria for HLH initially proposed in 2004 by the Histiocyte Society to identify patients for recruitment into a clinical trial included molecular testing consistent with HLH and/or 5 of 8 clinical, laboratory, or histopathologic features (Table 1).5 HScore is a more recent validated scoring system that predicts the probability of HLH (Table 2). A score above 169 signifies diagnostic sensitivity of 93% and specificity of 86%.6

Diagnostic Criteria for Hemophagocytic Lymphohistiocytosis
Table 1

The diagnosis of HLH warrants a search for its underlying cause. Common triggers are viral infections (eg, EBV), autoimmune diseases (eg, systemic lupus erythematosus), and hematologic malignancies. These triggers typically stimulate or suppress the immune system. Initial management involves treatment of the underlying trigger and, potentially, immunosuppression with high-dose corticosteroids or cytotoxic agents (eg, etoposide). Primary HLH is an inherited immunodeficiency, and treatment often culminates in stem cell transplantation.5

In this case, SPTCL triggered HLH. SPTCL is a rare non-Hodgkin lymphoma characterized by painless subcutaneous nodules or indurated plaques (panniculitis-like) on the trunk or extremities, constitutional symptoms, and, in some cases, HLH.7-10 SPTCL is diagnosed by deep skin biopsy, with immunohistochemistry showing CD8-positive pathologic T cells expressing cytotoxic proteins (eg, granzyme B).9,11 SPTCL can either have an alpha/beta T-cell phenotype (SPTCL-AB) or gamma/delta T-cell phenotype (SPTCL-GD). Seventeen percent of patients with SPTCL-AB and 45% of patients with SPTCL-GD have HLH on diagnosis. Concomitant HLH is associated with decreased 5-year survival.12This patient presented with fevers and was ultimately diagnosed with HLH secondary to SPLTCL. His case is a reminder that not all diseases in the tropics are tropical diseases. In the diagnosis of a febrile illness, a broad evaluative framework and rigorous test results evaluation are essential—no matter where a patient lives or visits.

HScore for Diagnosing Hemophagocytic Lymphohistiocytosis (HLH)
Table 2

KEY TEACHING POINTS

  • A febrile illness acquired in the tropics is not always attributable to a tropical infection.
  • To avoid diagnostic error, weigh positive or negative test results against disease features, patient epidemiology, and test characteristics.
  • HLH is characterized by fevers, cytopenias, hepatosplenomegaly, hyperferritinemia, hypertriglyceridemia, and hypofibrinogenemia. In tissue specimens, hemophagocytosis may help differentiate HLH from competing conditions.
  • After HLH is diagnosed, try to determine its underlying cause, which may be an infection, autoimmunity, or a malignancy (commonly, a lymphoma).
 

 

Disclosure

Nothing to report.

 

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient’s case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant. The bolded text represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.
 

A 42-year-old Malaysian construction worker with subjective fevers of 4 days’ duration presented to an emergency department in Singapore. He reported nonproductive cough, chills without rigors, sore throat, and body aches. He denied sick contacts. Past medical history included chronic hepatitis B virus (HBV) infection. The patient was not taking any medications.

For this patient presenting acutely with subjective fevers, nonproductive cough, chills, aches, and lethargy, initial considerations include infection with a common virus (influenza virus, adenovirus, Epstein-Barr virus [EBV]), acute human immunodeficiency virus (HIV) infection, emerging infection (severe acute respiratory syndrome [SARS], Middle Eastern respiratory syndrome coronavirus [MERS-CoV] infection, avian influenza), and tropical infection (dengue, chikungunya). Also possible are bacterial infections (eg, with Salmonella typhi or Rickettsia or Mycoplasma species), parasitic infections (eg, malaria), and noninfectious illnesses (eg, autoimmune diseases, thyroiditis, acute leukemia, environmental exposures).

The patient’s temperature was 38.5°C; blood pressure, 133/73 mm Hg; heart rate, 95 beats per minute; respiratory rate, 18 breaths per minute; and oxygen saturation, 100% on ambient air. On physical examination, he appeared comfortable, and heart, lung, abdomen, skin, and extremities were normal. Laboratory test results included white blood cell (WBC) count, 4400/μL (with normal differential); hemoglobin, 16.1 g/dL; and platelet count, 207,000/μL. Serum chemistries were normal. C-reactive protein (CRP) level was 44.6 mg/L (reference range, 0.2-9.1 mg/L), and procalcitonin level was 0.13 ng/mL (reference range, <0.50 ng/mL). Chest radiograph was normal. Dengue antibodies (immunoglobulin M, immunoglobulin G [IgG]) and dengue NS1 antigen were negative. The patient was discharged with a presumptive diagnosis of viral upper respiratory tract infection.

There is no left shift characteristic of bacterial infection or lymphopenia characteristic of rickettsial disease or acute HIV infection. The serologic testing and the patient’s overall appearance make dengue unlikely. The low procalcitonin supports a nonbacterial cause of illness. CRP elevation may indicate an inflammatory process and is relatively nonspecific.

Myalgias, pharyngitis, and cough improved over several days, but fevers persisted, and a rash developed over the lower abdomen. The patient returned to the emergency department and was admitted. He denied weight loss and night sweats. He had multiple female sexual partners, including commercial sex workers, within the previous 6 months. Temperature was 38.5°C. The posterior oropharynx was slightly erythematous. There was no lymphadenopathy. Firm, mildly erythematous macules were present on the anterior abdominal wall (Figure 1). The rest of the physical examination was normal.

Skin lesions on abdominal wall.
Figure 1

Laboratory testing revealed WBC count, 5800/μL (75% neutrophils, 19% lymphocytes, 3% monocytes, 2% atypical mononuclear cells); hemoglobin, 16.3 g/dL; platelet count, 185,000/μL; sodium, 131 mmol/L; potassium, 3.4 mmol/L; creatinine, 0.9 mg/dL; albumin, 3.2 g/dL; alanine aminotransferase (ALT), 99 U/L; aspartate aminotransferase (AST), 137 U/L; alkaline phosphatase (ALP), 63 U/L; and total bilirubin, 1.9 mg/dL. Prothrombin time was 11.1 seconds; partial thromboplastin time, 36.1 seconds; erythrocyte sedimentation rate, 14 mm/h; and CRP, 62.2 mg/L.

EBV, acute HIV, and cytomegalovirus infections often present with adenopathy, which is absent here. Disseminated gonococcal infection can manifest with fever, body aches, and rash, but his rash and the absence of penile discharge, migratory arthritis, and enthesitis are not characteristic. Mycoplasma infection can present with macules, urticaria, or erythema multiforme. Rickettsia illnesses typically cause vasculitis with progression to petechiae or purpura resulting from endothelial damage. Patients with secondary syphilis may have widespread macular lesions, and the accompanying syphilitic hepatitis often manifests with elevations in ALP instead of ALT and AST. The mild elevation in ALT and AST can occur with many systemic viral infections. Sweet syndrome may manifest with febrile illness and rash, but the acuity of this patient’s illness and the rapid evolution favor infection.

The patient’s fevers (35°-40°C) continued without pattern over the next 3 days. Blood and urine cultures were negative. Polymerase chain reaction (PCR) test of the nasal mucosa was negative for respiratory viruses. PCR blood tests for EBV, HIV-1, and cytomegalovirus were also negative. Antistreptolysin O (ASO) titer was 400 IU/mm (reference range, <200 IU/mm). Antinuclear antibodies were negative, and rheumatoid factor was 12.4 U/mL (reference range, <10.3 U/mL). Computed tomography (CT) of the thorax, abdomen, and pelvis was normal. Results of a biopsy of an anterior abdominal wall skin lesion showed perivascular and periadnexal lymphocytic inflammation. Amoxicillin was started for the treatment of possible group A streptococcal infection.

 

 

PCR for HIV would be positive at a high level in acute HIV. The skin biopsy is not characteristic of Sweet syndrome, which typically shows neutrophilic infiltrate without leukocytoclastic vasculitis, or of syphilis, which typically shows a plasma cell infiltrate.

The patient’s erythematous oropharynx may indicate recent streptococcal pharyngitis. The fevers, elevated ASO titer, and CRP level are consistent with acute rheumatic fever, but arthritis, carditis, and neurologic manifestations are lacking. Erythema marginatum manifests on the trunk and limbs as macules or papules with central clearing as the lesions spread outward—and differs from the patient’s rash, which is firm and restricted to the abdominal wall.

Fevers persisted through hospital day 7. The WBC count was 1100/μL (75.7% neutrophils, 22.5% lymphocytes), hemoglobin was 10.3 g/dL, and platelet count was 52,000/μL. Additional laboratory test results included ALP, 234 U/L; ALT, 250 U/L; AST, 459 U/L; lactate dehydrogenase, 2303 U/L (reference range, 222-454 U/L); and ferritin, 14,964 ng/mL (reference range, 47-452 ng/mL).

The duration of illness and negative diagnostic tests for infections increases suspicion for a noninfectious illness. Conditions commonly associated with marked hyperferritinemia include adult-onset Still disease (AOSD) and hemophagocytic lymphohistiocytosis (HLH). Of the 9 AOSD diagnostic (Yamaguchi) criteria, 5 are met in this case: fever, rash, sore throat, abnormal liver function tests, and negative rheumatologic tests. However, the patient lacks arthritis, leukocytosis, lymphadenopathy, and hepatosplenomegaly. Except for the elevated ferritin, the AOSD criteria overlap substantially with the criteria for acute rheumatic fever, and still require that infections be adequately excluded. HLH, a state of abnormal immune activation with resultant organ dysfunction, can be a primary disorder, but in adults more often is secondary to underlying infectious, autoimmune, or malignant (often lymphoma) conditions. Elevated ferritin, cytopenias, elevated ALT and AST, elevated CRP and erythrocyte sedimentation rate, and elevated lactate dehydrogenase are consistent with HLH. The HLH diagnosis can be more firmly established with the more specific findings of hypertriglyceridemia, hypofibrinogenemia, and elevated soluble CD25 level. The histopathologic finding of hemophagocytosis in the bone marrow, lymph nodes, or liver may further support the diagnosis of HLH.

Rash and fevers persisted. Hepatitis A, hepatitis C, Rickettsia IgG, Burkholderia pseudomallei (the causative organism of melioidosis), and Leptospira serologies, as well as PCR for herpes simplex virus and parvovirus, were all negative. Hepatitis B viral load was 962 IU/mL (2.98 log), hepatitis B envelope antigen was negative, and hepatitis B envelope antibody was positive. Orientia tsutsugamushi (organism responsible for scrub typhus) IgG titer was elevated at 1:128. Antiliver kidney microsomal antibodies and antineutrophil cytoplasmic antibodies were negative. Fibrinogen level was 0.69 g/L (reference range, 1.8-4.8 g/L), and beta-2 microglobulin level was 5078 ng/mL (reference range, 878-2000 ng/mL). Bone marrow biopsy results showed hypocellular marrow with suppressed myelopoiesis, few atypical lymphoid cells, and few hemophagocytes. Flow cytometry was negative for clonal B lymphocytes and aberrant expression of T lymphocytes. Bone marrow myobacterial PCR and fungal cultures were negative.

The patient’s chronic HBV infection is unlikely to be related to his presentation given his low viral load and absence of signs of hepatic dysfunction. Excluding rickettsial disease requires paired acute and convalescent serologies. O tsutsugamushi, the causative agent of the rickettsial disease scrub typhus, is endemic in Malaysia; thus, his positive O tsutsugamushi IgG may indicate past exposure. His fevers, myalgias, truncal rash, and hepatitis are consistent with scrub typhus, but he lacks the characteristic severe headache and generalized lymphadenopathy. Although eschar formation with evolution of a papular rash is common in scrub typhus, it is often absent in the variant found in Southeast Asia. Although elevated β2 microglobulin level is used as a prognostic marker in multiple myeloma and Waldenström macroglobulinemia, it can be elevated in many immune-active states. The patient likely has HLH, which is supported by the hemophagocytosis seen on bone marrow biopsy, and the hypofibrinogenemia. Potential HLH triggers include O tsutsugamushi infection or recent streptococcal pharyngitis.

A deep-punch skin biopsy of the anterior abdominal wall skin lesion was performed because of the absence of subcutaneous fat in the first biopsy specimen. The latest biopsy results showed irregular interstitial expansion of medium-size lymphocytes in a lobular panniculated pattern. The lymphocytes contained enlarged, irregularly contoured nucleoli and were positive for T-cell markers CD2 and CD3 with reduction in CD5 expression. The lymphomatous cells were of CD8+ with uniform expression of activated cytotoxic granule protein granzyme B and were positive for T-cell hemireceptor β.

Positron emission tomography (PET) CT, obtained for staging purposes, showed multiple hypermetabolic subcutaneous and cutaneous lesions over the torso and upper and lower limbs—compatible with lymphomatous infiltrates (Figure 2). Examination, pathology, and imaging findings suggested a rare neoplasm: subcutaneous panniculitis-like T-cell lymphoma (SPTCL). SPTCL was confirmed by T-cell receptor gene rearrangements studies.

Positron emission tomography computed tomography shows multiple fluorodeoxyglucose-avid cutaneous lesions (green) with surrounding patchy foci of subcutaneous fat stranding (blue-grey) in anterior abdominal wall and upper left arm, compatible with areas o
Figure 2

HLH was diagnosed on the basis of the fevers, cytopenias, hypofibrinogenemia, elevated
ferritin level, and evidence of hemophagocytosis. SPTCL was suspected as the HLH trigger.

The patient was treated with cyclophosphamide, hydroxydoxorubicin, vincristine, and prednisone. While on this regimen, he developed new skin lesions, and his ferritin level was persistently elevated. He was switched to romidepsin, a histone deacetylase inhibitor that specifically targets cutaneous T-cell lymphoma, but the lesions continued to progress. The patient then was treated with gemcitabine, dexamethasone, and cisplatin, and the rashes resolved. The most recent PET-CT showed nearly complete resolution of the subcutaneous lesions.

 

 

DISCUSSION

When residents or visitors to tropical or sub-tropical regions, those located near or between the Tropics of Cancer and Capricorn, present with fever, physicians usually first think of infectious diseases. This patient’s case is a reminder that these important first considerations should not be the last.

Generating a differential diagnosis for tropical illnesses begins with the patient’s history. Factors to be considered include location (regional disease prevalence), exposures (food/water ingestion, outdoor work/recreation, sexual contact, animal contact), and timing (temporal relationship of symptom development to possible exposure). Common tropical infections are malaria, dengue, typhoid, and emerging infections such as chikungunya, avian influenza, and Zika virus infection.1This case underscores the need to analyze diagnostic tests critically. Interpreting tests as simply positive or negative, irrespective of disease features, epidemiology, and test characteristics, can contribute to diagnostic error. For example, the patient’s positive ASO titer requires an understanding of disease features and a nuanced interpretation based on the clinical presentation. The erythematous posterior oropharynx prompted concern for postinfectious sequelae of streptococcal pharyngitis, but his illness was more severe and more prolonged than is typical of that condition. The isolated elevated O tsutsugamushi IgG titer provides an example of the role of epidemiology in test interpretation. Although a single positive value might indicate a new exposure for a visitor to an endemic region, IgG seropositivity in Singapore, where scrub typhus is endemic, likely reflects prior exposure to the organism. Diagnosing an acute scrub typhus infection in a patient in an endemic region requires PCR testing. The skin biopsy results highlight the importance of understanding test characteristics. A skin biopsy specimen must be adequate in order to draw valid and accurate conclusions. In this case, the initial skin biopsy was superficial, and the specimen inadequate, but the test was not “negative.” In the diagnostic skin biopsy, deeper tissue was sampled, and panniculitis (inflammation of subcutaneous fat), which arises in inflammatory, infectious, traumatic, enzymatic, and malignant conditions, was identified. An adequate biopsy specimen that contains subcutaneous fat is essential in making this diagnosis.2This patient eventually manifested several elements of hemophagocytic lymphohistiocytosis (HLH), a syndrome of excessive inflammation and resultant organ injury relating to abnormal immune activation and excessive inflammation. HLH results from deficient down-regulation of activated macrophages and lymphocytes.3 It was initially described in pediatric patients but is now recognized in adults, and associated with mortality as high as 50%.3 A high ferritin level (>2000 ng/mL) has 70% sensitivity and 68% specificity for pediatric HLH and should trigger consideration of HLH in any age group.4 The diagnostic criteria for HLH initially proposed in 2004 by the Histiocyte Society to identify patients for recruitment into a clinical trial included molecular testing consistent with HLH and/or 5 of 8 clinical, laboratory, or histopathologic features (Table 1).5 HScore is a more recent validated scoring system that predicts the probability of HLH (Table 2). A score above 169 signifies diagnostic sensitivity of 93% and specificity of 86%.6

Diagnostic Criteria for Hemophagocytic Lymphohistiocytosis
Table 1

The diagnosis of HLH warrants a search for its underlying cause. Common triggers are viral infections (eg, EBV), autoimmune diseases (eg, systemic lupus erythematosus), and hematologic malignancies. These triggers typically stimulate or suppress the immune system. Initial management involves treatment of the underlying trigger and, potentially, immunosuppression with high-dose corticosteroids or cytotoxic agents (eg, etoposide). Primary HLH is an inherited immunodeficiency, and treatment often culminates in stem cell transplantation.5

In this case, SPTCL triggered HLH. SPTCL is a rare non-Hodgkin lymphoma characterized by painless subcutaneous nodules or indurated plaques (panniculitis-like) on the trunk or extremities, constitutional symptoms, and, in some cases, HLH.7-10 SPTCL is diagnosed by deep skin biopsy, with immunohistochemistry showing CD8-positive pathologic T cells expressing cytotoxic proteins (eg, granzyme B).9,11 SPTCL can either have an alpha/beta T-cell phenotype (SPTCL-AB) or gamma/delta T-cell phenotype (SPTCL-GD). Seventeen percent of patients with SPTCL-AB and 45% of patients with SPTCL-GD have HLH on diagnosis. Concomitant HLH is associated with decreased 5-year survival.12This patient presented with fevers and was ultimately diagnosed with HLH secondary to SPLTCL. His case is a reminder that not all diseases in the tropics are tropical diseases. In the diagnosis of a febrile illness, a broad evaluative framework and rigorous test results evaluation are essential—no matter where a patient lives or visits.

HScore for Diagnosing Hemophagocytic Lymphohistiocytosis (HLH)
Table 2

KEY TEACHING POINTS

  • A febrile illness acquired in the tropics is not always attributable to a tropical infection.
  • To avoid diagnostic error, weigh positive or negative test results against disease features, patient epidemiology, and test characteristics.
  • HLH is characterized by fevers, cytopenias, hepatosplenomegaly, hyperferritinemia, hypertriglyceridemia, and hypofibrinogenemia. In tissue specimens, hemophagocytosis may help differentiate HLH from competing conditions.
  • After HLH is diagnosed, try to determine its underlying cause, which may be an infection, autoimmunity, or a malignancy (commonly, a lymphoma).
 

 

Disclosure

Nothing to report.

 

References

1. Centers for Disease Control and Prevention. Destinations [list]. http://wwwnc.cdc.gov/travel/destinations/list/. Accessed April 22, 2016.
2. Diaz Cascajo C, Borghi S, Weyers W. Panniculitis: definition of terms and diagnostic strategy. Am J Dermatopathol. 2000;22(6):530-549. PubMed
3. Ramos-Casals M, Brito-Zerón P, López-Guillermo A, Khamashta MA, Bosch X. Adult haemophagocytic syndrome. Lancet. 2014;383(9927):1503-1516. PubMed
4. Lehmberg K, McClain KL, Janka GE, Allen CE. Determination of an appropriate cut-off value for ferritin in the diagnosis of hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2014;61(11):2101-2103PubMed
5. Henter JI, Horne A, Aricó M, et al. HLH-2004: diagnostic and therapeutic guidelines for hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2007;48(2):124-131. PubMed
6. Fardet L, Galicier L, Lambotte O, et al. Development and validation of the HScore, a score for the diagnosis of reactive hemophagocytic syndrome. Arthritis Rheumatol. 2014;66(9):2613-2620PubMed
7. Aronson IK, Worobed CM. Cytophagic histiocytic panniculitis and hemophagocytic lymphohistiocytosis: an overview. Dermatol Ther. 2010;23(4):389-402. PubMed
8. Willemze R, Jansen PM, Cerroni L, et al; EORTC Cutaneous Lymphoma Group. Subcutaneous panniculitis-like T-cell lymphoma: definition, classification, and prognostic factors: an EORTC Cutaneous Lymphoma Group study of 83 cases. Blood. 2008;111(2):838-845. PubMed
9. Kumar S, Krenacs L, Medeiros J, et al. Subcutaneous panniculitic T-cell lymphoma is a tumor of cytotoxic T lymphocytes. Hum Pathol. 1998;29(4):397-403. PubMed
10. Salhany KE, Macon WR, Choi JK, et al. Subcutaneous panniculitis-like T-cell lymphoma: clinicopathologic, immunophenotypic, and genotypic analysis of alpha/beta and gamma/delta subtypes. Am J Surg Pathol. 1998;22(7):881-893. PubMed
11. Jaffe ES, Nicolae A, Pittaluga S. Peripheral T-cell and NK-cell lymphomas in the WHO classification: pearls and pitfalls. Mod Pathol. 2013;26(suppl 1):S71-S87. PubMed
12. Willemze R, Hodak E, Zinzani PL, Specht L, Ladetto M; ESMO Guidelines Working Group. Primary cutaneous lymphomas: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2013;24(suppl 6):vi149-vi154. PubMed

References

1. Centers for Disease Control and Prevention. Destinations [list]. http://wwwnc.cdc.gov/travel/destinations/list/. Accessed April 22, 2016.
2. Diaz Cascajo C, Borghi S, Weyers W. Panniculitis: definition of terms and diagnostic strategy. Am J Dermatopathol. 2000;22(6):530-549. PubMed
3. Ramos-Casals M, Brito-Zerón P, López-Guillermo A, Khamashta MA, Bosch X. Adult haemophagocytic syndrome. Lancet. 2014;383(9927):1503-1516. PubMed
4. Lehmberg K, McClain KL, Janka GE, Allen CE. Determination of an appropriate cut-off value for ferritin in the diagnosis of hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2014;61(11):2101-2103PubMed
5. Henter JI, Horne A, Aricó M, et al. HLH-2004: diagnostic and therapeutic guidelines for hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2007;48(2):124-131. PubMed
6. Fardet L, Galicier L, Lambotte O, et al. Development and validation of the HScore, a score for the diagnosis of reactive hemophagocytic syndrome. Arthritis Rheumatol. 2014;66(9):2613-2620PubMed
7. Aronson IK, Worobed CM. Cytophagic histiocytic panniculitis and hemophagocytic lymphohistiocytosis: an overview. Dermatol Ther. 2010;23(4):389-402. PubMed
8. Willemze R, Jansen PM, Cerroni L, et al; EORTC Cutaneous Lymphoma Group. Subcutaneous panniculitis-like T-cell lymphoma: definition, classification, and prognostic factors: an EORTC Cutaneous Lymphoma Group study of 83 cases. Blood. 2008;111(2):838-845. PubMed
9. Kumar S, Krenacs L, Medeiros J, et al. Subcutaneous panniculitic T-cell lymphoma is a tumor of cytotoxic T lymphocytes. Hum Pathol. 1998;29(4):397-403. PubMed
10. Salhany KE, Macon WR, Choi JK, et al. Subcutaneous panniculitis-like T-cell lymphoma: clinicopathologic, immunophenotypic, and genotypic analysis of alpha/beta and gamma/delta subtypes. Am J Surg Pathol. 1998;22(7):881-893. PubMed
11. Jaffe ES, Nicolae A, Pittaluga S. Peripheral T-cell and NK-cell lymphomas in the WHO classification: pearls and pitfalls. Mod Pathol. 2013;26(suppl 1):S71-S87. PubMed
12. Willemze R, Hodak E, Zinzani PL, Specht L, Ladetto M; ESMO Guidelines Working Group. Primary cutaneous lymphomas: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2013;24(suppl 6):vi149-vi154. PubMed

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Address for correspondence and reprint requests: Arpana R. Vidyarthi, MD, Division of Advanced Internal Medicine, Department of Medicine, NUHS Tower Block, Level 10, National University Health System, 1E Kent Ridge Rd, Singapore 119228; Telephone: +65-9009-8011; Fax: +65-6872-4130; E-mail: arpana.vidyarthi@duke-nus.edu.sg
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UCSF Hospitalist Mini‐College

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Bringing continuing medical education to the bedside: The university of California, San Francisco Hospitalist Mini‐College

I hear and I forget, I see and I remember, I do and I understand.

Confucius

Hospital medicine, first described in 1996,[1] is the fastest growing specialty in United States medical history, now with approximately 40,000 practitioners.[2] Although hospitalists undoubtedly learned many of their key clinical skills during residency training, there is no hospitalist‐specific residency training pathway and a limited number of largely research‐oriented fellowships.[3] Furthermore, hospitalists are often asked to care for surgical patients, those with acute neurologic disorders, and patients in intensive care units, while also contributing to quality improvement and patient safety initiatives.[4] This suggests that the vast majority of hospitalists have not had specific training in many key competencies for the field.[5]

Continuing medical education (CME) has traditionally been the mechanism to maintain, develop, or increase the knowledge, skills, and professional performance of physicians.[6] Most CME activities, including those for hospitalists, are staged as live events in hotel conference rooms or as local events in a similarly passive learning environment (eg, grand rounds and medical staff meetings). Online programs, audiotapes, and expanding electronic media provide increasing and alternate methods for hospitalists to obtain their required CME. All of these activities passively deliver content to a group of diverse and experienced learners. They fail to take advantage of adult learning principles and may have little direct impact on professional practice.[7, 8] Traditional CME is often derided as a barrier to innovative educational methods for these reasons, as adults learn best through active participation, when the information is relevant and practically applied.[9, 10]

To provide practicing hospitalists with necessary continuing education, we designed the University of California, San Francisco (UCSF) Hospitalist Mini‐College (UHMC). This 3‐day course brings adult learners to the bedside for small‐group and active learning focused on content areas relevant to today's hospitalists. We describe the development, content, outcomes, and lessons learned from UHMC's first 5 years.

METHODS

Program Development

We aimed to develop a program that focused on curricular topics that would be highly valued by practicing hospitalists delivered in an active learning small‐group environment. We first conducted an informal needs assessment of community‐based hospitalists to better understand their roles and determine their perceptions of gaps in hospitalist training compared to current requirements for practice. We then reviewed available CME events targeting hospitalists and compared these curricula to the gaps discovered from the needs assessment. We also reviewed the Society of Hospital Medicine's core competencies to further identify gaps in scope of practice.[4] Finally, we reviewed the literature to identify CME curricular innovations in the clinical setting and found no published reports.

Program Setting, Participants, and Faculty

The UHMC course was developed and offered first in 2008 as a precourse to the UCSF Management of the Hospitalized Medicine course, a traditional CME offering that occurs annually in a hotel setting.[11] The UHMC takes place on the campus of UCSF Medical Center, a 600‐bed academic medical center in San Francisco. Registered participants were required to complete limited credentialing paperwork, which allowed them to directly observe clinical care and interact with hospitalized patients. Participants were not involved in any clinical decision making for the patients they met or examined. The course was limited to a maximum of 33 participants annually to optimize active participation, small‐group bedside activities, and a personalized learning experience. UCSF faculty selected to teach in the UHMC were chosen based on exemplary clinical and teaching skills. They collaborated with course directors in the development of their session‐specific goals and curriculum.

Program Description

Figure 1 is a representative calendar view of the 3‐day UHMC course. The curricular topics were selected based on the findings from our needs assessment, our ability to deliver that curriculum using our small‐group active learning framework, and to minimize overlap with content of the larger course. Course curriculum was refined annually based on participant feedback and course director observations.

Figure 1
University of California, San Francisco (UCSF) Hospitalist Mini‐College sample schedule. *Clinical domain sessions are repeated each afternoon as participants are divided into 3 smaller groups. Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

The program was built on a structure of 4 clinical domains and 2 clinical skills labs. The clinical domains included: (1) Hospital‐Based Neurology, (2) Critical Care Medicine in the Intensive Care Unit, (3) Surgical Comanagement and Medical Consultation, and (4) Hospital‐Based Dermatology. Participants were divided into 3 groups of 10 participants each and rotated through each domain in the afternoons. The clinical skills labs included: (1) Interpretation of Radiographic Studies and (2) Use of Ultrasound and Enhancing Confidence in Performing Bedside Procedures. We also developed specific sessions to teach about patient safety and to allow course attendees to participate in traditional academic learning vehicles (eg, a Morning Report and Morbidity and Mortality case conference). Below, we describe each session's format and content.

Clinical Domains

Hospital‐Based Neurology

Attendees participated in both bedside evaluation and case‐based discussions of common neurologic conditions seen in the hospital. In small groups of 5, participants were assigned patients to examine on the neurology ward. After their evaluations, they reported their findings to fellow participants and the faculty, setting the foundation for discussion of clinical management, review of neuroimaging, and exploration of current evidence to inform the patient's diagnosis and management. Participants and faculty then returned to the bedside to hone neurologic examination skills and complete the learning process. Given the unpredictability of what conditions would be represented on the ward in a given day, review of commonly seen conditions was always a focus, such as stroke, seizures, delirium, and neurologic examination pearls.

Critical Care

Attendees participated in case‐based discussions of common clinical conditions with similar review of current evidence, relevant imaging, and bedside exam pearls for the intubated patient. For this domain, attendees also participated in an advanced simulation tutorial in ventilator management, which was then applied at the bedside of intubated patients. Specific topics covered include sepsis, decompensated chronic obstructive lung disease, vasopressor selection, novel therapies in critically ill patients, and use of clinical pathways and protocols for improved quality of care.

Surgical Comanagement and Medical Consultation

Attendees participated in case‐based discussions applying current evidence to perioperative controversies and the care of the surgical patient. They also discussed the expanding role of the hospitalist in nonmedical patients.

Hospital‐Based Dermatology

Attendees participated in bedside evaluation of acute skin eruptions based on available patients admitted to the hospital. They discussed the approach to skin eruptions, key diagnoses, and when dermatologists should be consulted for their expertise. Specific topics included drug reactions, the red leg, life‐threating conditions (eg, Stevens‐Johnson syndrome), and dermatologic examination pearls. This domain was added in 2010.

Clinical Skills Labs

Radiology

In groups of 15, attendees reviewed common radiographs that hospitalists frequently order or evaluate (eg, chest x‐rays; kidney, ureter, and bladder; placement of endotracheal or feeding tube). They also reviewed the most relevant and not‐to‐miss findings on other commonly ordered studies such as abdominal or brain computerized tomography scans.

Hospital Procedures With Bedside Ultrasound

Attendees participated in a half‐day session to gain experience with the following procedures: paracentesis, lumbar puncture, thoracentesis, and central lines. They participated in an initial overview of procedural safety followed by hands‐on application sessions, in which they rotated through clinical workstations in groups of 5. At each work station, they were provided an opportunity to practice techniques, including the safe use of ultrasound on both live (standardized patients) and simulation models.

Other Sessions

Building Diagnostic Acumen and Clinical Reasoning

The opening session of the UHMC reintroduces attendees to the traditional academic morning report format, in which a case is presented and participants are asked to assess the information, develop differential diagnoses, discuss management options, and consider their own clinical reasoning skills. This provides frameworks for diagnostic reasoning, highlights common cognitive errors, and teaches attendees how to develop expertise in their own diagnostic thinking. The session also sets the stage and expectation for active learning and participation in the UHMC.

Root Cause Analysis and Systems Thinking

As the only nonclinical session in the UHMC, this session introduces participants to systems thinking and patient safety. Attendees participate in a root cause analysis role play surrounding a serious medical error and discuss the implications, their reflections, and then propose solutions through interactive table discussions. The session also emphasizes the key role hospitalists should play in improving patient safety.

Clinical Case Conference

Attendees participated in the weekly UCSF Department of Medicine Morbidity and Mortality conference. This is a traditional case conference that brings together learners, expert discussants, and an interesting or challenging case. This allows attendees to synthesize much of the course learning through active participation in the case discussion. Rather than creating a new conference for the participants, we brought the participants to the existing conference as part of their UHMC immersion experience.

Meet the Professor

Attendees participated in an informal discussion with a national leader (R.M.W.) in hospital medicine. This allowed for an interactive exchange of ideas and an understanding of the field overall.

Online Search Strategies

This interactive computer lab session allowed participants to explore the ever‐expanding number of online resources to answer clinical queries. This session was replaced in 2010 with the dermatology clinical domain based on participant feedback.

Program Evaluation

Participants completed a pre‐UHMC survey that provided demographic information and attributes about themselves, their clinical practice, and experience. Participants also completed course evaluations consistent with Accreditation Council for Continuing Medical Education standards following the program. The questions asked for each activity were rated on a 1‐to‐5 scale (1=poor, 5=excellent) and also included open‐ended questions to assess overall experiences.

RESULTS

Participant Demographics

During the first 5 years of the UHMC, 152 participants enrolled and completed the program; 91% completed the pre‐UHMC survey and 89% completed the postcourse evaluation. Table 1 describes the self‐reported participant demographics, including years in practice, number of hospitalist jobs, overall job satisfaction, and time spent doing clinical work. Overall, 68% of all participants had been self‐described hospitalists for <4 years, with 62% holding only 1 hospitalist job during that time; 77% reported being pretty or very satisfied with their jobs, and 72% reported clinical care as the attribute they love most in their job. Table 2 highlights the type of work attendees participate in within their clinical practice. More than half manage patients with neurologic disorders and care for critically ill patients, whereas virtually all perform preoperative medical evaluations and medical consultation

UHMC Participant Demographics
Question Response Options 2008 (n=4) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average (n=138)
  • NOTE: Abbreviations: QI, quality improvement; UHMC, University of California, San Francisco Hospitalist Mini‐College.

How long have you been a hospitalist? <2 years 52% 35% 37% 30% 25% 36%
24 years 26% 39% 30% 30% 38% 32%
510 years 11% 17% 15% 26% 29% 20%
>10 years 11% 9% 18% 14% 8% 12%
How many hospitalist jobs have you had? 1 63% 61% 62% 62% 58% 62%
2 to 3 37% 35% 23% 35% 29% 32%
>3 0% 4% 15% 1% 13% 5%
How satisfied are you with your current position? Not satisfied 1% 4% 4% 4% 0% 4%
Somewhat satisfied 11% 13% 39% 17% 17% 19%
Pretty satisfied 59% 52% 35% 57% 38% 48%
Very satisfied 26% 30% 23% 22% 46% 29%
What do you love most about your job? Clinical care 85% 61% 65% 84% 67% 72%
Teaching 1% 17% 12% 1% 4% 7%
QI or safety work 0% 4% 0% 1% 8% 3%
Other (not specified) 14% 18% 23% 14% 21% 18%
What percent of your time is spent doing clinical care? 100% 39% 36% 52% 46% 58% 46%
75%100% 58% 50% 37% 42% 33% 44%
5075% 0% 9% 11% 12% 4% 7%
25%50% 4% 5% 0% 0% 5% 3%
<25% 0% 0% 0% 0% 0% 0%
UHMC Participant Clinical Activities
Question Response Options 2008 (n=24) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average(n=138)
  • NOTE: Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

Do you primarily manage patients with neurologic disorders in your hospital? Yes 62% 50% 62% 62% 63% 60%
Do you primarily manage critically ill ICU patients in your hospital? Yes and without an intensivist 19% 23% 19% 27% 21% 22%
Yes but with an intensivist 54% 50% 44% 42% 67% 51%
No 27% 27% 37% 31% 13% 27%
Do you perform preoperative medical evaluations and medical consultation? Yes 96% 91% 96% 96% 92% 94%
Which of the following describes your role in the care of surgical patients? Traditional medical consultant 33% 28% 28% 30% 24% 29%
Comanagement (shared responsibility with surgeon) 33% 34% 42% 39% 35% 37%
Attending of record with surgeon acting as consultant 26% 24% 26% 30% 35% 28%
Do you have bedside ultrasound available in your daily practice? Yes 38% 32% 52% 34% 38% 39%

Participant Experience

Overall, participants rated the quality of the UHMC course highly (4.65; 15 scale). The neurology clinical domain (4.83) and clinical reasoning session (4.72) were the highest‐rated sessions. Compared to all UCSF CME course offerings between January 2010 and September 2012, the UHMC rated higher than the cumulative overall rating from those 227 courses (4.65 vs 4.44). For UCSF CME courses offered in 2011 and 2012, 78% of participants (n=11,447) reported a high or definite likelihood to change practice. For UHMC participants during the same time period (n=57), 98% reported a similar likelihood to change practice. Table 3 provides selected participant comments from their postcourse evaluations.

Selected UHMC Participant Comments From Program Evaluations
  • NOTE: Abbreviations: UHMC, University of California, San Francisco Hospitalist Mini‐College.

Great pearls, broad ranging discussion of many controversial and common topics, and I loved the teaching format.
I thought the conception of the teaching model was really effectivehands‐on exams in small groups, each demonstrating a different part of the neurologic exam, followed by presentation and discussion, and ending in bedside rounds with the teaching faculty.
Excellent review of key topicswide variety of useful and practical points. Very high application value.
Great course. I'd take it again and again. It was a superb opportunity to review technique, equipment, and clinical decision making.
Overall outstanding course! Very informative and fun. Format was great.
Forward and clinically relevant. Like the bedside teaching and how they did it.The small size of the course and the close attention paid by the faculty teaching the course combined with the opportunity to see and examine patients in the hospital was outstanding.

DISCUSSION

We developed an innovative CME program that brought participants to an academic health center for a participatory, hands‐on, and small‐group experience. They learned about topics relevant to today's hospitalists, rated the experience very highly, and reported a nearly unanimous likelihood to change their practice. Reflecting on our program's first 5 years, there were several lessons learned that may guide others committed to providing a similar CME experience.

First, hospital medicine is a dynamic field. Conducting a needs assessment to match clinical topics to what attendees required in their own practice was critical. Iterative changes from year to year reflected formal participant feedback as well as informal conversations with the teaching faculty. For instance, attendees were not only interested in the clinical topics but often wanted to see examples of clinical pathways, order sets, and other systems in place to improve care for patients with common conditions. Our participant presurvey also helped identify and reinforce the curricular topics that teaching faculty focused on each year. Being responsive to the changing needs of hospitalists and the environment is a crucial part of providing a relevant CME experience.

We also used an innovative approach to teaching, founded in adult and effective CME learning principles. CME activities are geared toward adult physicians, and studies of their effectiveness recommend that sessions should be interactive and utilize multiple modalities of learning.[12] When attendees actively participate and are provided an opportunity to practice skills, it may have a positive effect on patient outcomes.[13] All UHMC faculty were required to couple presentations of the latest evidence for clinical topics with small‐group and hands‐on learning modalities. This also required that we utilize a teaching faculty known for both their clinical expertise and teaching recognition. Together, the learning modalities and the teaching faculty likely accounted for the highly rated course experience and likelihood to change practice.

Finally, our course brought participants to an academic medical center and into the mix of clinical care as opposed to the more traditional hotel venue. This was necessary to deliver the curriculum as described, but also had the unexpected benefit of energizing the participants. Many had not been in a teaching setting since their residency training, and bringing them back into this milieu motivated them to learn and share their inspiration. As there are no published studies of CME experiences in the clinical environment, this observation is noteworthy and deserves to be explored and evaluated further.

What are the limitations of our approach to bringing CME to the bedside? First, the economics of an intensive 3‐day course with a maximum of 33 attendees are far different than those of a large hotel‐based offering. There are no exhibitors or outside contributions. The cost of the course to participants is $2500 (discounted if attending the larger course as well), which is 2 to 3 times higher than most traditional CME courses of the same length. Although the cost is high, the course has sold out each year with a waiting list. Part of the cost is also faculty time. The time, preparation, and need to teach on the fly to meet the differing participant educational needs is fundamentally different than delivering a single lecture in a hotel conference room. Not surprisingly, our faculty enjoy this teaching opportunity and find it equally unique and valuable; no faculty have dropped out of teaching the course, and many describe it as 1 of the teaching highlights of the year. Scalability of the UHMC is challenging for these reasons, but our model could be replicated in other teaching institutions, even as a local offering for their own providers.

In summary, we developed a hospital‐based, highly interactive, small‐group CME course that emphasizes case‐based teaching. The course has sold out each year, and evaluations suggest that it is highly valued and is meeting curricular goals better than more traditional CME courses. We hope our course description and success may motivate others to consider moving beyond the traditional CME for hospitalists and explore further innovations. With the field growing and changing at a rapid pace, innovative CME experiences will be necessary to assure that hospitalists continue to provide exemplary and safe care to their patients.

Acknowledgements

The authors thank Kapo Tam for her program management of the UHMC, and Katherine Li and Zachary Martin for their invaluable administrative support and coordination. The authors are also indebted to faculty colleagues for their time and roles in teaching within the program. They include Gupreet Dhaliwal, Andy Josephson, Vanja Douglas, Michelle Milic, Brian Daniels, Quinny Cheng, Lindy Fox, Diane Sliwka, Ralph Wang, and Thomas Urbania.

Disclosure: Nothing to report.

References
  1. Wachter RM, Goldman L. The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;337(7):514517.
  2. Society of Hospital Medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Membership2/HospitalFocusedPractice/Hospital_Focused_Pra.htm. Accessed October 1, 2013.
  3. Ranji SR, Rosenman DJ, Amin AN, Kripalani S. Hospital medicine fellowships: works in progress. Am J Med. 2006;119(1):72.e1e7.
  4. Society of Hospital Medicine. Core competencies in hospital medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Education/CoreCurriculum/Core_Competencies.htm. Accessed October 1, 2013.
  5. Sehgal NL, Wachter RM. The expanding role of hospitalists in the United States. Swiss Med Wkly. 2006;136(37‐38);591596.
  6. Accreditation Council for Continuing Medical Education. CME content: definition and examples Available at: http://www.accme.org/requirements/accreditation‐requirements‐cme‐providers/policies‐and‐definitions/cme‐content‐definition‐and‐examples. Accessed October 1, 2013.
  7. Davis DA, Thompson MA, Oxman AD, Haynes RB. Changing physician performance. A systematic review of the effect of continuing medical education strategies. JAMA. 1995;274(9):700705.
  8. Mazmanian PE, Davis DA. Continuing medical education and the physician as a learner: guide to the evidence. JAMA. 2002;288(9):10571060.
  9. Bower EA, Girard DE, Wessel K, Becker TM, Choi D. Barriers to innovation in continuing medical eduation. J Contin Educ Health Prof. 2008;28(3):148156.
  10. Merriam S. Adult learning theory for the 21st century. In: Merriam S. Thrid Update on Adult Learning Theory: New Directions for Adult and Continuing Education. San Francisco, CA: Jossey‐Bass; 2008:9398.
  11. .UCSF management of the hospitalized patient CME course. Available at: http://www.ucsfcme.com/2014/MDM14P01/info.html. Accessed October 1, 2013.
  12. Continuing medical education effect on practice performance: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);42S48S.
  13. Continuing medical education effect on clinical outcomes: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);49S55S.
Article PDF
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Journal of Hospital Medicine - 9(2)
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129-134
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Article PDF

I hear and I forget, I see and I remember, I do and I understand.

Confucius

Hospital medicine, first described in 1996,[1] is the fastest growing specialty in United States medical history, now with approximately 40,000 practitioners.[2] Although hospitalists undoubtedly learned many of their key clinical skills during residency training, there is no hospitalist‐specific residency training pathway and a limited number of largely research‐oriented fellowships.[3] Furthermore, hospitalists are often asked to care for surgical patients, those with acute neurologic disorders, and patients in intensive care units, while also contributing to quality improvement and patient safety initiatives.[4] This suggests that the vast majority of hospitalists have not had specific training in many key competencies for the field.[5]

Continuing medical education (CME) has traditionally been the mechanism to maintain, develop, or increase the knowledge, skills, and professional performance of physicians.[6] Most CME activities, including those for hospitalists, are staged as live events in hotel conference rooms or as local events in a similarly passive learning environment (eg, grand rounds and medical staff meetings). Online programs, audiotapes, and expanding electronic media provide increasing and alternate methods for hospitalists to obtain their required CME. All of these activities passively deliver content to a group of diverse and experienced learners. They fail to take advantage of adult learning principles and may have little direct impact on professional practice.[7, 8] Traditional CME is often derided as a barrier to innovative educational methods for these reasons, as adults learn best through active participation, when the information is relevant and practically applied.[9, 10]

To provide practicing hospitalists with necessary continuing education, we designed the University of California, San Francisco (UCSF) Hospitalist Mini‐College (UHMC). This 3‐day course brings adult learners to the bedside for small‐group and active learning focused on content areas relevant to today's hospitalists. We describe the development, content, outcomes, and lessons learned from UHMC's first 5 years.

METHODS

Program Development

We aimed to develop a program that focused on curricular topics that would be highly valued by practicing hospitalists delivered in an active learning small‐group environment. We first conducted an informal needs assessment of community‐based hospitalists to better understand their roles and determine their perceptions of gaps in hospitalist training compared to current requirements for practice. We then reviewed available CME events targeting hospitalists and compared these curricula to the gaps discovered from the needs assessment. We also reviewed the Society of Hospital Medicine's core competencies to further identify gaps in scope of practice.[4] Finally, we reviewed the literature to identify CME curricular innovations in the clinical setting and found no published reports.

Program Setting, Participants, and Faculty

The UHMC course was developed and offered first in 2008 as a precourse to the UCSF Management of the Hospitalized Medicine course, a traditional CME offering that occurs annually in a hotel setting.[11] The UHMC takes place on the campus of UCSF Medical Center, a 600‐bed academic medical center in San Francisco. Registered participants were required to complete limited credentialing paperwork, which allowed them to directly observe clinical care and interact with hospitalized patients. Participants were not involved in any clinical decision making for the patients they met or examined. The course was limited to a maximum of 33 participants annually to optimize active participation, small‐group bedside activities, and a personalized learning experience. UCSF faculty selected to teach in the UHMC were chosen based on exemplary clinical and teaching skills. They collaborated with course directors in the development of their session‐specific goals and curriculum.

Program Description

Figure 1 is a representative calendar view of the 3‐day UHMC course. The curricular topics were selected based on the findings from our needs assessment, our ability to deliver that curriculum using our small‐group active learning framework, and to minimize overlap with content of the larger course. Course curriculum was refined annually based on participant feedback and course director observations.

Figure 1
University of California, San Francisco (UCSF) Hospitalist Mini‐College sample schedule. *Clinical domain sessions are repeated each afternoon as participants are divided into 3 smaller groups. Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

The program was built on a structure of 4 clinical domains and 2 clinical skills labs. The clinical domains included: (1) Hospital‐Based Neurology, (2) Critical Care Medicine in the Intensive Care Unit, (3) Surgical Comanagement and Medical Consultation, and (4) Hospital‐Based Dermatology. Participants were divided into 3 groups of 10 participants each and rotated through each domain in the afternoons. The clinical skills labs included: (1) Interpretation of Radiographic Studies and (2) Use of Ultrasound and Enhancing Confidence in Performing Bedside Procedures. We also developed specific sessions to teach about patient safety and to allow course attendees to participate in traditional academic learning vehicles (eg, a Morning Report and Morbidity and Mortality case conference). Below, we describe each session's format and content.

Clinical Domains

Hospital‐Based Neurology

Attendees participated in both bedside evaluation and case‐based discussions of common neurologic conditions seen in the hospital. In small groups of 5, participants were assigned patients to examine on the neurology ward. After their evaluations, they reported their findings to fellow participants and the faculty, setting the foundation for discussion of clinical management, review of neuroimaging, and exploration of current evidence to inform the patient's diagnosis and management. Participants and faculty then returned to the bedside to hone neurologic examination skills and complete the learning process. Given the unpredictability of what conditions would be represented on the ward in a given day, review of commonly seen conditions was always a focus, such as stroke, seizures, delirium, and neurologic examination pearls.

Critical Care

Attendees participated in case‐based discussions of common clinical conditions with similar review of current evidence, relevant imaging, and bedside exam pearls for the intubated patient. For this domain, attendees also participated in an advanced simulation tutorial in ventilator management, which was then applied at the bedside of intubated patients. Specific topics covered include sepsis, decompensated chronic obstructive lung disease, vasopressor selection, novel therapies in critically ill patients, and use of clinical pathways and protocols for improved quality of care.

Surgical Comanagement and Medical Consultation

Attendees participated in case‐based discussions applying current evidence to perioperative controversies and the care of the surgical patient. They also discussed the expanding role of the hospitalist in nonmedical patients.

Hospital‐Based Dermatology

Attendees participated in bedside evaluation of acute skin eruptions based on available patients admitted to the hospital. They discussed the approach to skin eruptions, key diagnoses, and when dermatologists should be consulted for their expertise. Specific topics included drug reactions, the red leg, life‐threating conditions (eg, Stevens‐Johnson syndrome), and dermatologic examination pearls. This domain was added in 2010.

Clinical Skills Labs

Radiology

In groups of 15, attendees reviewed common radiographs that hospitalists frequently order or evaluate (eg, chest x‐rays; kidney, ureter, and bladder; placement of endotracheal or feeding tube). They also reviewed the most relevant and not‐to‐miss findings on other commonly ordered studies such as abdominal or brain computerized tomography scans.

Hospital Procedures With Bedside Ultrasound

Attendees participated in a half‐day session to gain experience with the following procedures: paracentesis, lumbar puncture, thoracentesis, and central lines. They participated in an initial overview of procedural safety followed by hands‐on application sessions, in which they rotated through clinical workstations in groups of 5. At each work station, they were provided an opportunity to practice techniques, including the safe use of ultrasound on both live (standardized patients) and simulation models.

Other Sessions

Building Diagnostic Acumen and Clinical Reasoning

The opening session of the UHMC reintroduces attendees to the traditional academic morning report format, in which a case is presented and participants are asked to assess the information, develop differential diagnoses, discuss management options, and consider their own clinical reasoning skills. This provides frameworks for diagnostic reasoning, highlights common cognitive errors, and teaches attendees how to develop expertise in their own diagnostic thinking. The session also sets the stage and expectation for active learning and participation in the UHMC.

Root Cause Analysis and Systems Thinking

As the only nonclinical session in the UHMC, this session introduces participants to systems thinking and patient safety. Attendees participate in a root cause analysis role play surrounding a serious medical error and discuss the implications, their reflections, and then propose solutions through interactive table discussions. The session also emphasizes the key role hospitalists should play in improving patient safety.

Clinical Case Conference

Attendees participated in the weekly UCSF Department of Medicine Morbidity and Mortality conference. This is a traditional case conference that brings together learners, expert discussants, and an interesting or challenging case. This allows attendees to synthesize much of the course learning through active participation in the case discussion. Rather than creating a new conference for the participants, we brought the participants to the existing conference as part of their UHMC immersion experience.

Meet the Professor

Attendees participated in an informal discussion with a national leader (R.M.W.) in hospital medicine. This allowed for an interactive exchange of ideas and an understanding of the field overall.

Online Search Strategies

This interactive computer lab session allowed participants to explore the ever‐expanding number of online resources to answer clinical queries. This session was replaced in 2010 with the dermatology clinical domain based on participant feedback.

Program Evaluation

Participants completed a pre‐UHMC survey that provided demographic information and attributes about themselves, their clinical practice, and experience. Participants also completed course evaluations consistent with Accreditation Council for Continuing Medical Education standards following the program. The questions asked for each activity were rated on a 1‐to‐5 scale (1=poor, 5=excellent) and also included open‐ended questions to assess overall experiences.

RESULTS

Participant Demographics

During the first 5 years of the UHMC, 152 participants enrolled and completed the program; 91% completed the pre‐UHMC survey and 89% completed the postcourse evaluation. Table 1 describes the self‐reported participant demographics, including years in practice, number of hospitalist jobs, overall job satisfaction, and time spent doing clinical work. Overall, 68% of all participants had been self‐described hospitalists for <4 years, with 62% holding only 1 hospitalist job during that time; 77% reported being pretty or very satisfied with their jobs, and 72% reported clinical care as the attribute they love most in their job. Table 2 highlights the type of work attendees participate in within their clinical practice. More than half manage patients with neurologic disorders and care for critically ill patients, whereas virtually all perform preoperative medical evaluations and medical consultation

UHMC Participant Demographics
Question Response Options 2008 (n=4) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average (n=138)
  • NOTE: Abbreviations: QI, quality improvement; UHMC, University of California, San Francisco Hospitalist Mini‐College.

How long have you been a hospitalist? <2 years 52% 35% 37% 30% 25% 36%
24 years 26% 39% 30% 30% 38% 32%
510 years 11% 17% 15% 26% 29% 20%
>10 years 11% 9% 18% 14% 8% 12%
How many hospitalist jobs have you had? 1 63% 61% 62% 62% 58% 62%
2 to 3 37% 35% 23% 35% 29% 32%
>3 0% 4% 15% 1% 13% 5%
How satisfied are you with your current position? Not satisfied 1% 4% 4% 4% 0% 4%
Somewhat satisfied 11% 13% 39% 17% 17% 19%
Pretty satisfied 59% 52% 35% 57% 38% 48%
Very satisfied 26% 30% 23% 22% 46% 29%
What do you love most about your job? Clinical care 85% 61% 65% 84% 67% 72%
Teaching 1% 17% 12% 1% 4% 7%
QI or safety work 0% 4% 0% 1% 8% 3%
Other (not specified) 14% 18% 23% 14% 21% 18%
What percent of your time is spent doing clinical care? 100% 39% 36% 52% 46% 58% 46%
75%100% 58% 50% 37% 42% 33% 44%
5075% 0% 9% 11% 12% 4% 7%
25%50% 4% 5% 0% 0% 5% 3%
<25% 0% 0% 0% 0% 0% 0%
UHMC Participant Clinical Activities
Question Response Options 2008 (n=24) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average(n=138)
  • NOTE: Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

Do you primarily manage patients with neurologic disorders in your hospital? Yes 62% 50% 62% 62% 63% 60%
Do you primarily manage critically ill ICU patients in your hospital? Yes and without an intensivist 19% 23% 19% 27% 21% 22%
Yes but with an intensivist 54% 50% 44% 42% 67% 51%
No 27% 27% 37% 31% 13% 27%
Do you perform preoperative medical evaluations and medical consultation? Yes 96% 91% 96% 96% 92% 94%
Which of the following describes your role in the care of surgical patients? Traditional medical consultant 33% 28% 28% 30% 24% 29%
Comanagement (shared responsibility with surgeon) 33% 34% 42% 39% 35% 37%
Attending of record with surgeon acting as consultant 26% 24% 26% 30% 35% 28%
Do you have bedside ultrasound available in your daily practice? Yes 38% 32% 52% 34% 38% 39%

Participant Experience

Overall, participants rated the quality of the UHMC course highly (4.65; 15 scale). The neurology clinical domain (4.83) and clinical reasoning session (4.72) were the highest‐rated sessions. Compared to all UCSF CME course offerings between January 2010 and September 2012, the UHMC rated higher than the cumulative overall rating from those 227 courses (4.65 vs 4.44). For UCSF CME courses offered in 2011 and 2012, 78% of participants (n=11,447) reported a high or definite likelihood to change practice. For UHMC participants during the same time period (n=57), 98% reported a similar likelihood to change practice. Table 3 provides selected participant comments from their postcourse evaluations.

Selected UHMC Participant Comments From Program Evaluations
  • NOTE: Abbreviations: UHMC, University of California, San Francisco Hospitalist Mini‐College.

Great pearls, broad ranging discussion of many controversial and common topics, and I loved the teaching format.
I thought the conception of the teaching model was really effectivehands‐on exams in small groups, each demonstrating a different part of the neurologic exam, followed by presentation and discussion, and ending in bedside rounds with the teaching faculty.
Excellent review of key topicswide variety of useful and practical points. Very high application value.
Great course. I'd take it again and again. It was a superb opportunity to review technique, equipment, and clinical decision making.
Overall outstanding course! Very informative and fun. Format was great.
Forward and clinically relevant. Like the bedside teaching and how they did it.The small size of the course and the close attention paid by the faculty teaching the course combined with the opportunity to see and examine patients in the hospital was outstanding.

DISCUSSION

We developed an innovative CME program that brought participants to an academic health center for a participatory, hands‐on, and small‐group experience. They learned about topics relevant to today's hospitalists, rated the experience very highly, and reported a nearly unanimous likelihood to change their practice. Reflecting on our program's first 5 years, there were several lessons learned that may guide others committed to providing a similar CME experience.

First, hospital medicine is a dynamic field. Conducting a needs assessment to match clinical topics to what attendees required in their own practice was critical. Iterative changes from year to year reflected formal participant feedback as well as informal conversations with the teaching faculty. For instance, attendees were not only interested in the clinical topics but often wanted to see examples of clinical pathways, order sets, and other systems in place to improve care for patients with common conditions. Our participant presurvey also helped identify and reinforce the curricular topics that teaching faculty focused on each year. Being responsive to the changing needs of hospitalists and the environment is a crucial part of providing a relevant CME experience.

We also used an innovative approach to teaching, founded in adult and effective CME learning principles. CME activities are geared toward adult physicians, and studies of their effectiveness recommend that sessions should be interactive and utilize multiple modalities of learning.[12] When attendees actively participate and are provided an opportunity to practice skills, it may have a positive effect on patient outcomes.[13] All UHMC faculty were required to couple presentations of the latest evidence for clinical topics with small‐group and hands‐on learning modalities. This also required that we utilize a teaching faculty known for both their clinical expertise and teaching recognition. Together, the learning modalities and the teaching faculty likely accounted for the highly rated course experience and likelihood to change practice.

Finally, our course brought participants to an academic medical center and into the mix of clinical care as opposed to the more traditional hotel venue. This was necessary to deliver the curriculum as described, but also had the unexpected benefit of energizing the participants. Many had not been in a teaching setting since their residency training, and bringing them back into this milieu motivated them to learn and share their inspiration. As there are no published studies of CME experiences in the clinical environment, this observation is noteworthy and deserves to be explored and evaluated further.

What are the limitations of our approach to bringing CME to the bedside? First, the economics of an intensive 3‐day course with a maximum of 33 attendees are far different than those of a large hotel‐based offering. There are no exhibitors or outside contributions. The cost of the course to participants is $2500 (discounted if attending the larger course as well), which is 2 to 3 times higher than most traditional CME courses of the same length. Although the cost is high, the course has sold out each year with a waiting list. Part of the cost is also faculty time. The time, preparation, and need to teach on the fly to meet the differing participant educational needs is fundamentally different than delivering a single lecture in a hotel conference room. Not surprisingly, our faculty enjoy this teaching opportunity and find it equally unique and valuable; no faculty have dropped out of teaching the course, and many describe it as 1 of the teaching highlights of the year. Scalability of the UHMC is challenging for these reasons, but our model could be replicated in other teaching institutions, even as a local offering for their own providers.

In summary, we developed a hospital‐based, highly interactive, small‐group CME course that emphasizes case‐based teaching. The course has sold out each year, and evaluations suggest that it is highly valued and is meeting curricular goals better than more traditional CME courses. We hope our course description and success may motivate others to consider moving beyond the traditional CME for hospitalists and explore further innovations. With the field growing and changing at a rapid pace, innovative CME experiences will be necessary to assure that hospitalists continue to provide exemplary and safe care to their patients.

Acknowledgements

The authors thank Kapo Tam for her program management of the UHMC, and Katherine Li and Zachary Martin for their invaluable administrative support and coordination. The authors are also indebted to faculty colleagues for their time and roles in teaching within the program. They include Gupreet Dhaliwal, Andy Josephson, Vanja Douglas, Michelle Milic, Brian Daniels, Quinny Cheng, Lindy Fox, Diane Sliwka, Ralph Wang, and Thomas Urbania.

Disclosure: Nothing to report.

I hear and I forget, I see and I remember, I do and I understand.

Confucius

Hospital medicine, first described in 1996,[1] is the fastest growing specialty in United States medical history, now with approximately 40,000 practitioners.[2] Although hospitalists undoubtedly learned many of their key clinical skills during residency training, there is no hospitalist‐specific residency training pathway and a limited number of largely research‐oriented fellowships.[3] Furthermore, hospitalists are often asked to care for surgical patients, those with acute neurologic disorders, and patients in intensive care units, while also contributing to quality improvement and patient safety initiatives.[4] This suggests that the vast majority of hospitalists have not had specific training in many key competencies for the field.[5]

Continuing medical education (CME) has traditionally been the mechanism to maintain, develop, or increase the knowledge, skills, and professional performance of physicians.[6] Most CME activities, including those for hospitalists, are staged as live events in hotel conference rooms or as local events in a similarly passive learning environment (eg, grand rounds and medical staff meetings). Online programs, audiotapes, and expanding electronic media provide increasing and alternate methods for hospitalists to obtain their required CME. All of these activities passively deliver content to a group of diverse and experienced learners. They fail to take advantage of adult learning principles and may have little direct impact on professional practice.[7, 8] Traditional CME is often derided as a barrier to innovative educational methods for these reasons, as adults learn best through active participation, when the information is relevant and practically applied.[9, 10]

To provide practicing hospitalists with necessary continuing education, we designed the University of California, San Francisco (UCSF) Hospitalist Mini‐College (UHMC). This 3‐day course brings adult learners to the bedside for small‐group and active learning focused on content areas relevant to today's hospitalists. We describe the development, content, outcomes, and lessons learned from UHMC's first 5 years.

METHODS

Program Development

We aimed to develop a program that focused on curricular topics that would be highly valued by practicing hospitalists delivered in an active learning small‐group environment. We first conducted an informal needs assessment of community‐based hospitalists to better understand their roles and determine their perceptions of gaps in hospitalist training compared to current requirements for practice. We then reviewed available CME events targeting hospitalists and compared these curricula to the gaps discovered from the needs assessment. We also reviewed the Society of Hospital Medicine's core competencies to further identify gaps in scope of practice.[4] Finally, we reviewed the literature to identify CME curricular innovations in the clinical setting and found no published reports.

Program Setting, Participants, and Faculty

The UHMC course was developed and offered first in 2008 as a precourse to the UCSF Management of the Hospitalized Medicine course, a traditional CME offering that occurs annually in a hotel setting.[11] The UHMC takes place on the campus of UCSF Medical Center, a 600‐bed academic medical center in San Francisco. Registered participants were required to complete limited credentialing paperwork, which allowed them to directly observe clinical care and interact with hospitalized patients. Participants were not involved in any clinical decision making for the patients they met or examined. The course was limited to a maximum of 33 participants annually to optimize active participation, small‐group bedside activities, and a personalized learning experience. UCSF faculty selected to teach in the UHMC were chosen based on exemplary clinical and teaching skills. They collaborated with course directors in the development of their session‐specific goals and curriculum.

Program Description

Figure 1 is a representative calendar view of the 3‐day UHMC course. The curricular topics were selected based on the findings from our needs assessment, our ability to deliver that curriculum using our small‐group active learning framework, and to minimize overlap with content of the larger course. Course curriculum was refined annually based on participant feedback and course director observations.

Figure 1
University of California, San Francisco (UCSF) Hospitalist Mini‐College sample schedule. *Clinical domain sessions are repeated each afternoon as participants are divided into 3 smaller groups. Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

The program was built on a structure of 4 clinical domains and 2 clinical skills labs. The clinical domains included: (1) Hospital‐Based Neurology, (2) Critical Care Medicine in the Intensive Care Unit, (3) Surgical Comanagement and Medical Consultation, and (4) Hospital‐Based Dermatology. Participants were divided into 3 groups of 10 participants each and rotated through each domain in the afternoons. The clinical skills labs included: (1) Interpretation of Radiographic Studies and (2) Use of Ultrasound and Enhancing Confidence in Performing Bedside Procedures. We also developed specific sessions to teach about patient safety and to allow course attendees to participate in traditional academic learning vehicles (eg, a Morning Report and Morbidity and Mortality case conference). Below, we describe each session's format and content.

Clinical Domains

Hospital‐Based Neurology

Attendees participated in both bedside evaluation and case‐based discussions of common neurologic conditions seen in the hospital. In small groups of 5, participants were assigned patients to examine on the neurology ward. After their evaluations, they reported their findings to fellow participants and the faculty, setting the foundation for discussion of clinical management, review of neuroimaging, and exploration of current evidence to inform the patient's diagnosis and management. Participants and faculty then returned to the bedside to hone neurologic examination skills and complete the learning process. Given the unpredictability of what conditions would be represented on the ward in a given day, review of commonly seen conditions was always a focus, such as stroke, seizures, delirium, and neurologic examination pearls.

Critical Care

Attendees participated in case‐based discussions of common clinical conditions with similar review of current evidence, relevant imaging, and bedside exam pearls for the intubated patient. For this domain, attendees also participated in an advanced simulation tutorial in ventilator management, which was then applied at the bedside of intubated patients. Specific topics covered include sepsis, decompensated chronic obstructive lung disease, vasopressor selection, novel therapies in critically ill patients, and use of clinical pathways and protocols for improved quality of care.

Surgical Comanagement and Medical Consultation

Attendees participated in case‐based discussions applying current evidence to perioperative controversies and the care of the surgical patient. They also discussed the expanding role of the hospitalist in nonmedical patients.

Hospital‐Based Dermatology

Attendees participated in bedside evaluation of acute skin eruptions based on available patients admitted to the hospital. They discussed the approach to skin eruptions, key diagnoses, and when dermatologists should be consulted for their expertise. Specific topics included drug reactions, the red leg, life‐threating conditions (eg, Stevens‐Johnson syndrome), and dermatologic examination pearls. This domain was added in 2010.

Clinical Skills Labs

Radiology

In groups of 15, attendees reviewed common radiographs that hospitalists frequently order or evaluate (eg, chest x‐rays; kidney, ureter, and bladder; placement of endotracheal or feeding tube). They also reviewed the most relevant and not‐to‐miss findings on other commonly ordered studies such as abdominal or brain computerized tomography scans.

Hospital Procedures With Bedside Ultrasound

Attendees participated in a half‐day session to gain experience with the following procedures: paracentesis, lumbar puncture, thoracentesis, and central lines. They participated in an initial overview of procedural safety followed by hands‐on application sessions, in which they rotated through clinical workstations in groups of 5. At each work station, they were provided an opportunity to practice techniques, including the safe use of ultrasound on both live (standardized patients) and simulation models.

Other Sessions

Building Diagnostic Acumen and Clinical Reasoning

The opening session of the UHMC reintroduces attendees to the traditional academic morning report format, in which a case is presented and participants are asked to assess the information, develop differential diagnoses, discuss management options, and consider their own clinical reasoning skills. This provides frameworks for diagnostic reasoning, highlights common cognitive errors, and teaches attendees how to develop expertise in their own diagnostic thinking. The session also sets the stage and expectation for active learning and participation in the UHMC.

Root Cause Analysis and Systems Thinking

As the only nonclinical session in the UHMC, this session introduces participants to systems thinking and patient safety. Attendees participate in a root cause analysis role play surrounding a serious medical error and discuss the implications, their reflections, and then propose solutions through interactive table discussions. The session also emphasizes the key role hospitalists should play in improving patient safety.

Clinical Case Conference

Attendees participated in the weekly UCSF Department of Medicine Morbidity and Mortality conference. This is a traditional case conference that brings together learners, expert discussants, and an interesting or challenging case. This allows attendees to synthesize much of the course learning through active participation in the case discussion. Rather than creating a new conference for the participants, we brought the participants to the existing conference as part of their UHMC immersion experience.

Meet the Professor

Attendees participated in an informal discussion with a national leader (R.M.W.) in hospital medicine. This allowed for an interactive exchange of ideas and an understanding of the field overall.

Online Search Strategies

This interactive computer lab session allowed participants to explore the ever‐expanding number of online resources to answer clinical queries. This session was replaced in 2010 with the dermatology clinical domain based on participant feedback.

Program Evaluation

Participants completed a pre‐UHMC survey that provided demographic information and attributes about themselves, their clinical practice, and experience. Participants also completed course evaluations consistent with Accreditation Council for Continuing Medical Education standards following the program. The questions asked for each activity were rated on a 1‐to‐5 scale (1=poor, 5=excellent) and also included open‐ended questions to assess overall experiences.

RESULTS

Participant Demographics

During the first 5 years of the UHMC, 152 participants enrolled and completed the program; 91% completed the pre‐UHMC survey and 89% completed the postcourse evaluation. Table 1 describes the self‐reported participant demographics, including years in practice, number of hospitalist jobs, overall job satisfaction, and time spent doing clinical work. Overall, 68% of all participants had been self‐described hospitalists for <4 years, with 62% holding only 1 hospitalist job during that time; 77% reported being pretty or very satisfied with their jobs, and 72% reported clinical care as the attribute they love most in their job. Table 2 highlights the type of work attendees participate in within their clinical practice. More than half manage patients with neurologic disorders and care for critically ill patients, whereas virtually all perform preoperative medical evaluations and medical consultation

UHMC Participant Demographics
Question Response Options 2008 (n=4) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average (n=138)
  • NOTE: Abbreviations: QI, quality improvement; UHMC, University of California, San Francisco Hospitalist Mini‐College.

How long have you been a hospitalist? <2 years 52% 35% 37% 30% 25% 36%
24 years 26% 39% 30% 30% 38% 32%
510 years 11% 17% 15% 26% 29% 20%
>10 years 11% 9% 18% 14% 8% 12%
How many hospitalist jobs have you had? 1 63% 61% 62% 62% 58% 62%
2 to 3 37% 35% 23% 35% 29% 32%
>3 0% 4% 15% 1% 13% 5%
How satisfied are you with your current position? Not satisfied 1% 4% 4% 4% 0% 4%
Somewhat satisfied 11% 13% 39% 17% 17% 19%
Pretty satisfied 59% 52% 35% 57% 38% 48%
Very satisfied 26% 30% 23% 22% 46% 29%
What do you love most about your job? Clinical care 85% 61% 65% 84% 67% 72%
Teaching 1% 17% 12% 1% 4% 7%
QI or safety work 0% 4% 0% 1% 8% 3%
Other (not specified) 14% 18% 23% 14% 21% 18%
What percent of your time is spent doing clinical care? 100% 39% 36% 52% 46% 58% 46%
75%100% 58% 50% 37% 42% 33% 44%
5075% 0% 9% 11% 12% 4% 7%
25%50% 4% 5% 0% 0% 5% 3%
<25% 0% 0% 0% 0% 0% 0%
UHMC Participant Clinical Activities
Question Response Options 2008 (n=24) 2009 (n=26) 2010 (n=29) 2011 (n=31) 2012 (n=28) Average(n=138)
  • NOTE: Abbreviations: ICU, intensive care unit; UHMC, University of California, San Francisco Hospitalist Mini‐College.

Do you primarily manage patients with neurologic disorders in your hospital? Yes 62% 50% 62% 62% 63% 60%
Do you primarily manage critically ill ICU patients in your hospital? Yes and without an intensivist 19% 23% 19% 27% 21% 22%
Yes but with an intensivist 54% 50% 44% 42% 67% 51%
No 27% 27% 37% 31% 13% 27%
Do you perform preoperative medical evaluations and medical consultation? Yes 96% 91% 96% 96% 92% 94%
Which of the following describes your role in the care of surgical patients? Traditional medical consultant 33% 28% 28% 30% 24% 29%
Comanagement (shared responsibility with surgeon) 33% 34% 42% 39% 35% 37%
Attending of record with surgeon acting as consultant 26% 24% 26% 30% 35% 28%
Do you have bedside ultrasound available in your daily practice? Yes 38% 32% 52% 34% 38% 39%

Participant Experience

Overall, participants rated the quality of the UHMC course highly (4.65; 15 scale). The neurology clinical domain (4.83) and clinical reasoning session (4.72) were the highest‐rated sessions. Compared to all UCSF CME course offerings between January 2010 and September 2012, the UHMC rated higher than the cumulative overall rating from those 227 courses (4.65 vs 4.44). For UCSF CME courses offered in 2011 and 2012, 78% of participants (n=11,447) reported a high or definite likelihood to change practice. For UHMC participants during the same time period (n=57), 98% reported a similar likelihood to change practice. Table 3 provides selected participant comments from their postcourse evaluations.

Selected UHMC Participant Comments From Program Evaluations
  • NOTE: Abbreviations: UHMC, University of California, San Francisco Hospitalist Mini‐College.

Great pearls, broad ranging discussion of many controversial and common topics, and I loved the teaching format.
I thought the conception of the teaching model was really effectivehands‐on exams in small groups, each demonstrating a different part of the neurologic exam, followed by presentation and discussion, and ending in bedside rounds with the teaching faculty.
Excellent review of key topicswide variety of useful and practical points. Very high application value.
Great course. I'd take it again and again. It was a superb opportunity to review technique, equipment, and clinical decision making.
Overall outstanding course! Very informative and fun. Format was great.
Forward and clinically relevant. Like the bedside teaching and how they did it.The small size of the course and the close attention paid by the faculty teaching the course combined with the opportunity to see and examine patients in the hospital was outstanding.

DISCUSSION

We developed an innovative CME program that brought participants to an academic health center for a participatory, hands‐on, and small‐group experience. They learned about topics relevant to today's hospitalists, rated the experience very highly, and reported a nearly unanimous likelihood to change their practice. Reflecting on our program's first 5 years, there were several lessons learned that may guide others committed to providing a similar CME experience.

First, hospital medicine is a dynamic field. Conducting a needs assessment to match clinical topics to what attendees required in their own practice was critical. Iterative changes from year to year reflected formal participant feedback as well as informal conversations with the teaching faculty. For instance, attendees were not only interested in the clinical topics but often wanted to see examples of clinical pathways, order sets, and other systems in place to improve care for patients with common conditions. Our participant presurvey also helped identify and reinforce the curricular topics that teaching faculty focused on each year. Being responsive to the changing needs of hospitalists and the environment is a crucial part of providing a relevant CME experience.

We also used an innovative approach to teaching, founded in adult and effective CME learning principles. CME activities are geared toward adult physicians, and studies of their effectiveness recommend that sessions should be interactive and utilize multiple modalities of learning.[12] When attendees actively participate and are provided an opportunity to practice skills, it may have a positive effect on patient outcomes.[13] All UHMC faculty were required to couple presentations of the latest evidence for clinical topics with small‐group and hands‐on learning modalities. This also required that we utilize a teaching faculty known for both their clinical expertise and teaching recognition. Together, the learning modalities and the teaching faculty likely accounted for the highly rated course experience and likelihood to change practice.

Finally, our course brought participants to an academic medical center and into the mix of clinical care as opposed to the more traditional hotel venue. This was necessary to deliver the curriculum as described, but also had the unexpected benefit of energizing the participants. Many had not been in a teaching setting since their residency training, and bringing them back into this milieu motivated them to learn and share their inspiration. As there are no published studies of CME experiences in the clinical environment, this observation is noteworthy and deserves to be explored and evaluated further.

What are the limitations of our approach to bringing CME to the bedside? First, the economics of an intensive 3‐day course with a maximum of 33 attendees are far different than those of a large hotel‐based offering. There are no exhibitors or outside contributions. The cost of the course to participants is $2500 (discounted if attending the larger course as well), which is 2 to 3 times higher than most traditional CME courses of the same length. Although the cost is high, the course has sold out each year with a waiting list. Part of the cost is also faculty time. The time, preparation, and need to teach on the fly to meet the differing participant educational needs is fundamentally different than delivering a single lecture in a hotel conference room. Not surprisingly, our faculty enjoy this teaching opportunity and find it equally unique and valuable; no faculty have dropped out of teaching the course, and many describe it as 1 of the teaching highlights of the year. Scalability of the UHMC is challenging for these reasons, but our model could be replicated in other teaching institutions, even as a local offering for their own providers.

In summary, we developed a hospital‐based, highly interactive, small‐group CME course that emphasizes case‐based teaching. The course has sold out each year, and evaluations suggest that it is highly valued and is meeting curricular goals better than more traditional CME courses. We hope our course description and success may motivate others to consider moving beyond the traditional CME for hospitalists and explore further innovations. With the field growing and changing at a rapid pace, innovative CME experiences will be necessary to assure that hospitalists continue to provide exemplary and safe care to their patients.

Acknowledgements

The authors thank Kapo Tam for her program management of the UHMC, and Katherine Li and Zachary Martin for their invaluable administrative support and coordination. The authors are also indebted to faculty colleagues for their time and roles in teaching within the program. They include Gupreet Dhaliwal, Andy Josephson, Vanja Douglas, Michelle Milic, Brian Daniels, Quinny Cheng, Lindy Fox, Diane Sliwka, Ralph Wang, and Thomas Urbania.

Disclosure: Nothing to report.

References
  1. Wachter RM, Goldman L. The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;337(7):514517.
  2. Society of Hospital Medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Membership2/HospitalFocusedPractice/Hospital_Focused_Pra.htm. Accessed October 1, 2013.
  3. Ranji SR, Rosenman DJ, Amin AN, Kripalani S. Hospital medicine fellowships: works in progress. Am J Med. 2006;119(1):72.e1e7.
  4. Society of Hospital Medicine. Core competencies in hospital medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Education/CoreCurriculum/Core_Competencies.htm. Accessed October 1, 2013.
  5. Sehgal NL, Wachter RM. The expanding role of hospitalists in the United States. Swiss Med Wkly. 2006;136(37‐38);591596.
  6. Accreditation Council for Continuing Medical Education. CME content: definition and examples Available at: http://www.accme.org/requirements/accreditation‐requirements‐cme‐providers/policies‐and‐definitions/cme‐content‐definition‐and‐examples. Accessed October 1, 2013.
  7. Davis DA, Thompson MA, Oxman AD, Haynes RB. Changing physician performance. A systematic review of the effect of continuing medical education strategies. JAMA. 1995;274(9):700705.
  8. Mazmanian PE, Davis DA. Continuing medical education and the physician as a learner: guide to the evidence. JAMA. 2002;288(9):10571060.
  9. Bower EA, Girard DE, Wessel K, Becker TM, Choi D. Barriers to innovation in continuing medical eduation. J Contin Educ Health Prof. 2008;28(3):148156.
  10. Merriam S. Adult learning theory for the 21st century. In: Merriam S. Thrid Update on Adult Learning Theory: New Directions for Adult and Continuing Education. San Francisco, CA: Jossey‐Bass; 2008:9398.
  11. .UCSF management of the hospitalized patient CME course. Available at: http://www.ucsfcme.com/2014/MDM14P01/info.html. Accessed October 1, 2013.
  12. Continuing medical education effect on practice performance: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);42S48S.
  13. Continuing medical education effect on clinical outcomes: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);49S55S.
References
  1. Wachter RM, Goldman L. The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;337(7):514517.
  2. Society of Hospital Medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Membership2/HospitalFocusedPractice/Hospital_Focused_Pra.htm. Accessed October 1, 2013.
  3. Ranji SR, Rosenman DJ, Amin AN, Kripalani S. Hospital medicine fellowships: works in progress. Am J Med. 2006;119(1):72.e1e7.
  4. Society of Hospital Medicine. Core competencies in hospital medicine. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Education/CoreCurriculum/Core_Competencies.htm. Accessed October 1, 2013.
  5. Sehgal NL, Wachter RM. The expanding role of hospitalists in the United States. Swiss Med Wkly. 2006;136(37‐38);591596.
  6. Accreditation Council for Continuing Medical Education. CME content: definition and examples Available at: http://www.accme.org/requirements/accreditation‐requirements‐cme‐providers/policies‐and‐definitions/cme‐content‐definition‐and‐examples. Accessed October 1, 2013.
  7. Davis DA, Thompson MA, Oxman AD, Haynes RB. Changing physician performance. A systematic review of the effect of continuing medical education strategies. JAMA. 1995;274(9):700705.
  8. Mazmanian PE, Davis DA. Continuing medical education and the physician as a learner: guide to the evidence. JAMA. 2002;288(9):10571060.
  9. Bower EA, Girard DE, Wessel K, Becker TM, Choi D. Barriers to innovation in continuing medical eduation. J Contin Educ Health Prof. 2008;28(3):148156.
  10. Merriam S. Adult learning theory for the 21st century. In: Merriam S. Thrid Update on Adult Learning Theory: New Directions for Adult and Continuing Education. San Francisco, CA: Jossey‐Bass; 2008:9398.
  11. .UCSF management of the hospitalized patient CME course. Available at: http://www.ucsfcme.com/2014/MDM14P01/info.html. Accessed October 1, 2013.
  12. Continuing medical education effect on practice performance: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);42S48S.
  13. Continuing medical education effect on clinical outcomes: effectiveness of continuing medical education: American College or Chest Physicians evidence‐based educational guidelines. Chest. 2009;135(3 suppl);49S55S.
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Address for correspondence and reprint requests: Niraj L. Sehgal, MD, Associate Professor of Medicine, University of California, San Francisco, 533 Parnassus Avenue, Box 0131, San Francisco, CA 94143; Telephone: 415‐476‐0723; Fax: 415‐476‐4818; E‐mail: nirajs@medicine.ucsf.edu
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Nonprocedural “Time Out”

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Critical conversations: A call for a nonprocedural “time out”

Communication and teamwork failures are the most frequently cited cause of adverse events.1, 2 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.36 For instance, many institutions have adopted SBAR (Situation‐Background‐Assessment‐Recommendation) as a method for providers to deliver critical clinical information in a structured format.7 SBAR focuses on the immediate and urgent event at hand and can occur between any 2 providers. The situation is a brief description of the event (eg, Hi Dr. Smith, this is Paul from 14‐Long, I'm calling about Mrs. Jones in 1427 who is in acute respiratory distress). The background describes details relevant to the situation (eg, She was admitted with a COPD exacerbation yesterday night, and, for the past couple hours, she appears in more distress. Her vital signs are). The assessment (eg, Her breath sounds are diminished and she's moving less air) and recommendation (eg, I'd like to call respiratory therapy and would like you to come assess her now) drive toward having an action defined at the end. Given the professional silos that exist in healthcare, the advent of a shared set of communication tools helps bridge existing gaps in training, experience, and teamwork between different providers.

Regulatory agencies have been heavily invested in attempts to standardize communication in healthcare settings. In 2003, the Joint Commission elevated the concerns for wrong‐site surgery by making its prevention a National Patient Safety Goal, and the following year required compliance with a Universal Protocol (UP).8 In addition to adequate preoperative identification of the patient and marking of their surgical site, the UP called for a time out (TO) just prior to the surgery or procedure. The UP states that a TO requires active communication among all members of the surgical/procedure team, consistently initiated by a designated member of the team, conducted in a fail‐safe mode, so that the planned procedure is not started if a member of the team has concerns.8 Simply, the TO provides an opportunity to clarify plans for care and discuss events anticipated during the procedure among all members of the team (eg, surgeons, anesthesiologists, nurses, technicians). This all‐important pause point ensures that each team member is on the same page.

Whereas a TO involves many high‐risk procedural settings, a significant proportion of hospital care occurs outside of procedures. Patients are often evaluated in an emergency department, admitted to a medical/surgical ward, treated without the need for a procedure, and ultimately discharged home or transferred to another healthcare facility (eg, skilled nursing or acute rehabilitation). In this paper, we introduce the concept of Critical Conversations, a form of nonprocedural time out, as a tool, intervention, and policy that promotes communication and teamwork at the most vulnerable junctures in a patient's hospitalization.

Rationale for Critical Conversations: a Case Scenario

An 82‐year‐old man with hypertension and chronic obstructive pulmonary disease (COPD) is admitted to the hospital with community‐acquired pneumonia and an exacerbation of his COPD. The admitting physician evaluates the patient in the emergency department and completes admission orders. The patient arrives on the medical/surgical unit and the unit clerk processes the orders, stimulating a cascade of downstream events for different providers.

Nurse

The nurse reviews the medication list, notices antibiotics and bronchodilators, and wonders why aren't we administering steroids for his COPD? Do any of these medications need to be given now? Is there anything the physician is worried about? What specific things should prompt me to call the physician with an update or change in condition? I'm not sure if it's safe to send the patient down for the ordered radiographic study because he still looks pretty short of breath. I hate paging the physician several times to get these questions answered because I know that person is busy as well. I also know the patient will have questions about the care plans, which I won't be able to answer. I wonder if I should finish administering evening medications for my other patients as I'm running behind schedule on my other tasks.

Respiratory therapist

At the same time, the respiratory therapist (RT) is contacted to assist with nebulizer therapy for the patient. In reviewing the order for bronchodilators, the RT silently asks, do we think he is going to need continuous nebulizers? What is our oxygen saturation goaldo we want him at 90% or above 95%? I wonder if this patient has a history of CO2 retention and if I should have a BiPAP machine at the bedside.

Physician

After completing the orders for the patient, the physician remains in the emergency department to admit a different patient with a gastrointestinal bleed. This is the fifth admission in the past few hours. The physician feels the impact of constant paging interruptions. A unit clerk pages asking for clarification about a radiographic study that was ordered. A bedside nurse pages and asks if the physician can come and speak to the family about the diagnosis and treatment plans for an earlier admission (something the nurse is not clear about, either). A second bedside nurse pages, stating a different admission is still tachycardic after 3 liters of intravenous fluids and wants to know whether the fluids should be continued. Finally, the bedside nurse pages about whether the new COPD admission can go off the floor for the ordered chest CT or remain on continuous pulse oximetry because of shortness of breath.

Our case scenario is representative of most non‐surgical admissions to a hospital. The hypothetical questions posed from different provider perspectives are also common and often remain unanswered in a timely fashion. Partly because there is no site to mark and no anesthesia to deliver, the clinical encounter escapes attention as an opportunity for error prevention. In our experience, there are specific times during a hospitalization when communication failures are most likely to compromise patient care: the time of admission, the time of discharge,9 and any time when a patient's clinical condition changes acutely. Whereas handoff communications focus on transitions between providers (eg, shift changes), these circumstances are driven by patient transitions. Indirect communications, such as phone, email, or faxes, are suboptimal forms of communication at such times.10 We believe that there should be an expectation for direct communication at these junctures, and we define these direct communications as Critical Conversations.

Description of a Critical Conversation

In the hours that follow an admission, providers (and often the patients or their family as well) invariably exchange any number of inefficient calls or pages to clarify care plans, discuss a suspected diagnosis, anticipate concerns in the first night, and/or highlight which orders should be prioritized, such as medications or diagnostic studies. A Critical Conversation at time of admission does in this circumstance exactly what a TO attempts to provide before a procedure foster communication and teamwork as a patient is about to be placed at risk for adverse events. The exchange involves discussion of the following:

  • Admitting diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any admitting orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

At the other end of a hospitalization, with the known complications arising from a patient's discharge,11, 12 the same process is needed. Rather than having each discipline focus on an individual role or task in getting a patient safely discharged, Critical Conversations allow the entire team, including the patient,13 to ensure that concerns have been addressed. This might help clarify simple measures around follow‐up appointments, whom to call with questions after discharge, or symptoms to watch for that may warrant a repeat evaluation. Nurses anecdotally lament that they first learn about a planned discharge only when the discharge order is written in the chart or if a patient informs them. Both scenarios reflect poorly on the teamwork required to assure patients we're working together, and that key providers are on the same page with respect to discharge planning. The exchange at discharge involves discussion of these elements:

  • Discharge diagnosis

  • Follow‐up plans

  • Need for education/training prior to discharge

  • Necessary paperwork completed

  • Anticipated time of discharge.

 

Finally, where many patients are admitted to a hospital, improve, and then return home, others develop acute changes during their hospitalization. For example, the patient in our case scenario could develop respiratory failure and require transfer to the intensive care unit (ICU). Or a different patient might have an acute change in mental status, a new fever, a new abnormal vital sign (eg, tachycardia or hypoxia), or an acute change re existing abdominal painall of which may require a battery of diagnostic tests. These circumstances define the third time for a Critical Conversation: a change in clinical condition. Such situations often require a change in the care plan, a change in priorities for delivering care at that time (for the patient in need and for other patients being cared for by the same nurse and physician), a need for additional resources (eg, respiratory therapist, phlebotomist, pharmacist), and, ultimately, a well‐orchestrated team effort to make it all happen. The specific item prompting the Critical Conversation may impact the nature of the exchange, which involves discussion of these components:

  • Suspected diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any new orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

In addition to the above checklist for each Critical Conversation, each exchange should also address two open‐ended questions: 1) what do you anticipate happening in the next 24 hours, and 2) what questions might the patient/family have?

One may ask, and we did, why not have a direct communication daily between a physician and a bedside nurse on each patient? Most physicians and nurses know the importance of direct communication, but there are also times when each is prioritizing work in competing fashions. Adopting Critical Conversations isn't meant to deter from communications that are vital to patient care; rather, it is intended to codify distinct times when a direct communication is required for patient safety.

Lessons Learned

Table 1 provides an example of a Critical Conversation using the sample case scenario. Table 2 lists the most frequent outcomes that resulted from providers engaging in Critical Conversations. These were captured from discussions with bedside nurses and internal medicine residents on our primary medical unit. Both tables highlight how these deliberate and direct communications can create a shared understanding of the patient's medical problems, can help prioritize what tasks should take place (eg, radiology study, medication administration, calling another provider), can improve communication between providers and patients, and potentially accomplish all of these goals in a more efficient manner.

Example of a Critical Conversation (Using the Sample Case Scenario)
Physician: Hi Nurse X, I'm Dr. Y, and I just wrote admission orders for Mr. Z whom, I understand, you'll be admitting. He's 82 with a history of COPD and is having an exacerbation related to a community‐acquired pneumonia. He looks comfortable right now as he's received his first dose of antibiotics, a liter of IVF, and 2 nebulizer treatments with some relief of his dyspnea. The main thing he needs up on the floor right now is to have respiratory therapy evaluate him. He's apparently been intubated before for his COPD, so I'd like to have them on board early and consider placing a BiPAP machine at the bedside for the next few hours. I don't anticipate an acute worsening of his condition given his initial improvements in the ED, but you should call me with any change in his condition. I haven't met the family yet because they were not at the bedside, but please convey the plans to them as well. I'll be up later to talk to them directly. Do you have any questions for me right now?
Nurse: I'll call the respiratory therapist right now and we'll make sure to contact you with any changes in his respiratory status. It looks like a chest CT was ordered, but not completed yet. Would you like him to go down for it off monitor?
Physician: Actually, let's watch him for a few hours to make sure he's continuing to improve. I initially ordered the chest CT to exclude a pulmonary embolus, but his history, exam, and chest x‐ray seem consistent with pneumonia. Let's reassess in a few hours.
Nurse: Sounds good. I'll text‐message you a set of his vital signs in 3‐4 hours to give you an update on his respiratory status.
Examples of Potential Outcomes Resulting From a Critical Conversation
General ThemesSpecific Examples
Clarity on plan of careClear understanding of action steps at critical junctures of hospitalization
Goals of admission discussed rather than gleaned from chart or less direct modes of communication
Discharge planning more proactive with better anticipation of timing among patients and providers
Expectation for shared understanding of care plans
Assistance with prioritization of tasks (as well as for competing tasks)Allows RNs to prioritize tasks for new admissions or planned discharges, to determine whether these tasks outweigh tasks for other patients, and to provide early planning when additional resources will be required
Allows MDs to prioritize communications to ensure critical orders receive attention, to obtain support for care plans that require multiple disciplines, and to confirm that intended care plans are implemented with shared sense of priority
Ability to communicate plans to patient and family membersImproved consistency in information provided to patients at critical hospital junctures
Increased engagement of patients in understanding their care plans
Better model for teamwork curative for patients when providers on the same page with communication
More efficient and effective use of resourcesFewer pages between admitting RN and MD with time saved from paging and waiting for responses
Less time trying to interpret plans of care from chart and other less direct modes of communication
Improved sharing and knowledge of information with less duplication of gathering from patients and among providers
Improved teamworkFosters a culture for direct communication and opens lines for questioning and speaking up when care plans are not clear

Making Critical Conversations Happen

Integrating Critical Conversations into practice requires both buy‐in among providers and a plan for monitoring the interactions. We recommend beginning with educational efforts (eg, at a physician or nurse staff meeting) and reinforcing them with visual cues, such as posters on the unit (Figure 1). These actions promote awareness and generate expectations that this new clinical policy is being supported by clinical and hospital leadership. Our experiences have demonstrated tremendous learning, including numerous anecdotes about the value of Critical Conversations (Table 3). Our implementation efforts also raised a number of questions that ultimately led to improved clarity in later iterations.

Figure 1
A Critical Conversations poster displayed on the patient care unit.
Provider Experiences Using Critical Conversations
Nothing is worse than meeting a patient for the first time at admission and not being able to answer the basic question of why they were admitted or what the plan is. It gives the impression that we don't talk to each other in caring for patients. [Critical Conversations] can really minimize that interaction and reassure patients, rather than make them worried about the apparent mixed messages or lack of communication and teamwork.Bedside Nurse
[Critical Conversations] seemed like an additional timely responsibility, and not always a part of my workflow, when sitting in the emergency department admitting patients. But, I found that the often 60 second conversations decreased the number of pages I would get for the same patientactually saving me time.Physician
I don't need to have direct communications for every order written. In fact, it would be inefficient for me and the doctors. On the other hand, being engaged in a Critical Conversation provides an opportunity for me to prioritize not only my tasks for the patient in need, but also in context of the other patients I'm caring for.Bedside Nurse
Late in the afternoon, there will often be several admissions coming to our unit simultaneously. Prioritizing what orders need to be processed or faxed is a typically blind task based on the way charts get organizedrather than someone telling me this is a priority.Unit Clerk
There are so many times when I'm trying to determine what the care plans are for a new admission, and simply having a quick conversation allows me to feel part of the team, and, more importantly, allows me to reinforce education and support for the patients and their family members.Bedside Nurse
Discharge always seems chaotic with everyone racing to fill out forms and meet their own tasks and requirements. Invariably, you get called to fix, change, or add new information to the discharge process that would have been easily averted by actually having a brief conversation with the bedside nurse or case manager. Every time I have [a Critical Conversation], I realize its importance for patient care.Physician

Who should be involved in a Critical Conversation?

Identifying which healthcare team members should be involved in Critical Conversations is best determined by the conversation owner. That is, we found communication was most effective when the individual initiating the Critical Conversation directed others who needed to be involved. At admission, the physician writing the admission orders is best suited to make this determination; at a minimum, he or she should engage the bedside nurse but, as in the case example presented, the physician may also need to engage other services in particularly complex situations (eg, respiratory therapy, pharmacy). At time of discharge, there should be a physiciannurse Critical Conversation; however, the owner of the discharge process may determine that other conversations should occur, and this may be inclusive of or driven by a case manager or social worker. Because local culture and practices may drive specific ownership, it's key to outline a protocol for how this should occur. For instance, at admission, we asked the admitting physicians to take responsibility in contacting the bedside nurse. In other venues, this may work more effectively if the bedside nurse pages the physician once the orders are received and reviewed.

Conclusions

We introduced Critical Conversations as an innovative tool and policy that promotes communication and teamwork in a structured format and at a consistent time. Developing formal systems that decrease communication failures in high‐risk circumstances remains a focus in patient safety, evidenced by guidelines for TOs in procedural settings, handoffs in patient care (eg, sign‐out between providers),14, 15 and transitions into and from the hospital setting.16 Furthermore, there is growing evidence that such structured times for communication and teamwork, such as with briefings, can improve efficiency and reduce delays in care.17, 18 However, handoffs, which address provider transitions, and daily multidisciplinary rounds, which bring providers together regularly, are provider‐centered rather than patient‐centered. Critical Conversations focus on times when patients require direct communication about their care plans to ensure safe and high quality outcomes.

Implementation of Critical Conversations provides an opportunity to codify a professional standard for patient‐centered communication at times when it should be expected. Critical Conversations also help build a system that supports a positive safety culture and encourages teamwork and direct communication. This is particularly true at a time when rapid adoption of information technology may have the unintended and opposite effect. For instance, as our hospital moved toward an entirely electronic health record, providers were increasingly relocating from patient care units into remote offices, corner hideaways, or designated computer rooms to complete orders and documentation. Although this may reduce many related errors in these processes and potentially improve communication via shared access to an electronic record, it does allow for less direct communicationa circumstance that traditionally occurs (even informally) when providers share the same clinical work areas. This situation is aggravated where the nurses are unit‐based and other providers (eg, physicians, therapists, case managers) are service‐based.

Integrating Critical Conversations into practice comes with expected challenges, most notably around workflow (eg, adds a step, although may save steps down the line) and the expectations concomitant with any change in standard of care (possible enforcement or auditing of their occurrence). Certain cultural barriers may also play a significant role, such as the presence of hierarchies that can hinder open communication and the related ability to speak up with concerns, as related in the TO literature. Where these cultural barriers highlight historical descriptions of the doctornurse relationship and its effect on patient care,1921 Critical Conversations provide an opportunity to improve such interdisciplinary relationships by providing a shared tool for direct communication.

In summary, we described an innovative communication tool that promotes direct communication at critical junctures during a hospitalization. With the growing complexity of hospital care and greater interdependence between teams that deliver this care, Critical Conversations provide an opportunity to further address the known communication failures that contribute to medical errors.

Acknowledgements

Critical Conversations was developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. We thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

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References
  1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
  2. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
  3. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
  4. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
  5. Sehgal NL,Fox M,Vidyarthi AR,Sharpe BA,Gearhart S,Bookwalter T,Barker J,Alldredge BA,Blegen MA,Wachter RM.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) Experience.J Gen Intern Med.2008;23(12):20532057.
  6. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13Suppl‐1:i8590.
  7. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
  8. The Joint Commission Universal Protocol for Preventing Wrong Site, Wrong Procedure, Wrong Person Surgery. Available at: http://www.jointcommission.org/NR/rdonlyres/E3C600EB‐043B‐4E86‐B04E‐CA4A89AD5433/0/universal_protocol.pdf. Accessed January 24, 2010.
  9. Greenwald JL,Denham CR,Jack BW.The hospital discharge: a review of a high risk care transition with highlights of a reengineered discharge process.J Patient Saf.2007;3:97106.
  10. How do we communicate? Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed January 24, 2010.
  11. Kripalani S,Jackson AT,Schnipper JL,Coleman EA.Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists.J Hosp Med.2007;2(5):314323.
  12. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  13. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
  14. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
  15. Coleman EA,Berenson RA.Lost in transition: challenges and opportunities for improving the quality of transitional care.Ann Intern Med.2004;141(7):533536.
  16. Halasyamani L,Kripalani S,Coleman E, et al.Transition of care for hospitalized elderly patients—development of a discharge checklist for hospitalists.J Hosp Med.2006;1(6):354360.
  17. Nundy S,Mukherjee A,Sexton JB, et al.Impact of preoperative briefings on operating room delays.Arch Surg.2008;143(11):10681072.
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  19. Greenfield LJ.Doctors and nurses: a troubled partnership.Ann Surg.1999;230(3):279288.
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Communication and teamwork failures are the most frequently cited cause of adverse events.1, 2 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.36 For instance, many institutions have adopted SBAR (Situation‐Background‐Assessment‐Recommendation) as a method for providers to deliver critical clinical information in a structured format.7 SBAR focuses on the immediate and urgent event at hand and can occur between any 2 providers. The situation is a brief description of the event (eg, Hi Dr. Smith, this is Paul from 14‐Long, I'm calling about Mrs. Jones in 1427 who is in acute respiratory distress). The background describes details relevant to the situation (eg, She was admitted with a COPD exacerbation yesterday night, and, for the past couple hours, she appears in more distress. Her vital signs are). The assessment (eg, Her breath sounds are diminished and she's moving less air) and recommendation (eg, I'd like to call respiratory therapy and would like you to come assess her now) drive toward having an action defined at the end. Given the professional silos that exist in healthcare, the advent of a shared set of communication tools helps bridge existing gaps in training, experience, and teamwork between different providers.

Regulatory agencies have been heavily invested in attempts to standardize communication in healthcare settings. In 2003, the Joint Commission elevated the concerns for wrong‐site surgery by making its prevention a National Patient Safety Goal, and the following year required compliance with a Universal Protocol (UP).8 In addition to adequate preoperative identification of the patient and marking of their surgical site, the UP called for a time out (TO) just prior to the surgery or procedure. The UP states that a TO requires active communication among all members of the surgical/procedure team, consistently initiated by a designated member of the team, conducted in a fail‐safe mode, so that the planned procedure is not started if a member of the team has concerns.8 Simply, the TO provides an opportunity to clarify plans for care and discuss events anticipated during the procedure among all members of the team (eg, surgeons, anesthesiologists, nurses, technicians). This all‐important pause point ensures that each team member is on the same page.

Whereas a TO involves many high‐risk procedural settings, a significant proportion of hospital care occurs outside of procedures. Patients are often evaluated in an emergency department, admitted to a medical/surgical ward, treated without the need for a procedure, and ultimately discharged home or transferred to another healthcare facility (eg, skilled nursing or acute rehabilitation). In this paper, we introduce the concept of Critical Conversations, a form of nonprocedural time out, as a tool, intervention, and policy that promotes communication and teamwork at the most vulnerable junctures in a patient's hospitalization.

Rationale for Critical Conversations: a Case Scenario

An 82‐year‐old man with hypertension and chronic obstructive pulmonary disease (COPD) is admitted to the hospital with community‐acquired pneumonia and an exacerbation of his COPD. The admitting physician evaluates the patient in the emergency department and completes admission orders. The patient arrives on the medical/surgical unit and the unit clerk processes the orders, stimulating a cascade of downstream events for different providers.

Nurse

The nurse reviews the medication list, notices antibiotics and bronchodilators, and wonders why aren't we administering steroids for his COPD? Do any of these medications need to be given now? Is there anything the physician is worried about? What specific things should prompt me to call the physician with an update or change in condition? I'm not sure if it's safe to send the patient down for the ordered radiographic study because he still looks pretty short of breath. I hate paging the physician several times to get these questions answered because I know that person is busy as well. I also know the patient will have questions about the care plans, which I won't be able to answer. I wonder if I should finish administering evening medications for my other patients as I'm running behind schedule on my other tasks.

Respiratory therapist

At the same time, the respiratory therapist (RT) is contacted to assist with nebulizer therapy for the patient. In reviewing the order for bronchodilators, the RT silently asks, do we think he is going to need continuous nebulizers? What is our oxygen saturation goaldo we want him at 90% or above 95%? I wonder if this patient has a history of CO2 retention and if I should have a BiPAP machine at the bedside.

Physician

After completing the orders for the patient, the physician remains in the emergency department to admit a different patient with a gastrointestinal bleed. This is the fifth admission in the past few hours. The physician feels the impact of constant paging interruptions. A unit clerk pages asking for clarification about a radiographic study that was ordered. A bedside nurse pages and asks if the physician can come and speak to the family about the diagnosis and treatment plans for an earlier admission (something the nurse is not clear about, either). A second bedside nurse pages, stating a different admission is still tachycardic after 3 liters of intravenous fluids and wants to know whether the fluids should be continued. Finally, the bedside nurse pages about whether the new COPD admission can go off the floor for the ordered chest CT or remain on continuous pulse oximetry because of shortness of breath.

Our case scenario is representative of most non‐surgical admissions to a hospital. The hypothetical questions posed from different provider perspectives are also common and often remain unanswered in a timely fashion. Partly because there is no site to mark and no anesthesia to deliver, the clinical encounter escapes attention as an opportunity for error prevention. In our experience, there are specific times during a hospitalization when communication failures are most likely to compromise patient care: the time of admission, the time of discharge,9 and any time when a patient's clinical condition changes acutely. Whereas handoff communications focus on transitions between providers (eg, shift changes), these circumstances are driven by patient transitions. Indirect communications, such as phone, email, or faxes, are suboptimal forms of communication at such times.10 We believe that there should be an expectation for direct communication at these junctures, and we define these direct communications as Critical Conversations.

Description of a Critical Conversation

In the hours that follow an admission, providers (and often the patients or their family as well) invariably exchange any number of inefficient calls or pages to clarify care plans, discuss a suspected diagnosis, anticipate concerns in the first night, and/or highlight which orders should be prioritized, such as medications or diagnostic studies. A Critical Conversation at time of admission does in this circumstance exactly what a TO attempts to provide before a procedure foster communication and teamwork as a patient is about to be placed at risk for adverse events. The exchange involves discussion of the following:

  • Admitting diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any admitting orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

At the other end of a hospitalization, with the known complications arising from a patient's discharge,11, 12 the same process is needed. Rather than having each discipline focus on an individual role or task in getting a patient safely discharged, Critical Conversations allow the entire team, including the patient,13 to ensure that concerns have been addressed. This might help clarify simple measures around follow‐up appointments, whom to call with questions after discharge, or symptoms to watch for that may warrant a repeat evaluation. Nurses anecdotally lament that they first learn about a planned discharge only when the discharge order is written in the chart or if a patient informs them. Both scenarios reflect poorly on the teamwork required to assure patients we're working together, and that key providers are on the same page with respect to discharge planning. The exchange at discharge involves discussion of these elements:

  • Discharge diagnosis

  • Follow‐up plans

  • Need for education/training prior to discharge

  • Necessary paperwork completed

  • Anticipated time of discharge.

 

Finally, where many patients are admitted to a hospital, improve, and then return home, others develop acute changes during their hospitalization. For example, the patient in our case scenario could develop respiratory failure and require transfer to the intensive care unit (ICU). Or a different patient might have an acute change in mental status, a new fever, a new abnormal vital sign (eg, tachycardia or hypoxia), or an acute change re existing abdominal painall of which may require a battery of diagnostic tests. These circumstances define the third time for a Critical Conversation: a change in clinical condition. Such situations often require a change in the care plan, a change in priorities for delivering care at that time (for the patient in need and for other patients being cared for by the same nurse and physician), a need for additional resources (eg, respiratory therapist, phlebotomist, pharmacist), and, ultimately, a well‐orchestrated team effort to make it all happen. The specific item prompting the Critical Conversation may impact the nature of the exchange, which involves discussion of these components:

  • Suspected diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any new orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

In addition to the above checklist for each Critical Conversation, each exchange should also address two open‐ended questions: 1) what do you anticipate happening in the next 24 hours, and 2) what questions might the patient/family have?

One may ask, and we did, why not have a direct communication daily between a physician and a bedside nurse on each patient? Most physicians and nurses know the importance of direct communication, but there are also times when each is prioritizing work in competing fashions. Adopting Critical Conversations isn't meant to deter from communications that are vital to patient care; rather, it is intended to codify distinct times when a direct communication is required for patient safety.

Lessons Learned

Table 1 provides an example of a Critical Conversation using the sample case scenario. Table 2 lists the most frequent outcomes that resulted from providers engaging in Critical Conversations. These were captured from discussions with bedside nurses and internal medicine residents on our primary medical unit. Both tables highlight how these deliberate and direct communications can create a shared understanding of the patient's medical problems, can help prioritize what tasks should take place (eg, radiology study, medication administration, calling another provider), can improve communication between providers and patients, and potentially accomplish all of these goals in a more efficient manner.

Example of a Critical Conversation (Using the Sample Case Scenario)
Physician: Hi Nurse X, I'm Dr. Y, and I just wrote admission orders for Mr. Z whom, I understand, you'll be admitting. He's 82 with a history of COPD and is having an exacerbation related to a community‐acquired pneumonia. He looks comfortable right now as he's received his first dose of antibiotics, a liter of IVF, and 2 nebulizer treatments with some relief of his dyspnea. The main thing he needs up on the floor right now is to have respiratory therapy evaluate him. He's apparently been intubated before for his COPD, so I'd like to have them on board early and consider placing a BiPAP machine at the bedside for the next few hours. I don't anticipate an acute worsening of his condition given his initial improvements in the ED, but you should call me with any change in his condition. I haven't met the family yet because they were not at the bedside, but please convey the plans to them as well. I'll be up later to talk to them directly. Do you have any questions for me right now?
Nurse: I'll call the respiratory therapist right now and we'll make sure to contact you with any changes in his respiratory status. It looks like a chest CT was ordered, but not completed yet. Would you like him to go down for it off monitor?
Physician: Actually, let's watch him for a few hours to make sure he's continuing to improve. I initially ordered the chest CT to exclude a pulmonary embolus, but his history, exam, and chest x‐ray seem consistent with pneumonia. Let's reassess in a few hours.
Nurse: Sounds good. I'll text‐message you a set of his vital signs in 3‐4 hours to give you an update on his respiratory status.
Examples of Potential Outcomes Resulting From a Critical Conversation
General ThemesSpecific Examples
Clarity on plan of careClear understanding of action steps at critical junctures of hospitalization
Goals of admission discussed rather than gleaned from chart or less direct modes of communication
Discharge planning more proactive with better anticipation of timing among patients and providers
Expectation for shared understanding of care plans
Assistance with prioritization of tasks (as well as for competing tasks)Allows RNs to prioritize tasks for new admissions or planned discharges, to determine whether these tasks outweigh tasks for other patients, and to provide early planning when additional resources will be required
Allows MDs to prioritize communications to ensure critical orders receive attention, to obtain support for care plans that require multiple disciplines, and to confirm that intended care plans are implemented with shared sense of priority
Ability to communicate plans to patient and family membersImproved consistency in information provided to patients at critical hospital junctures
Increased engagement of patients in understanding their care plans
Better model for teamwork curative for patients when providers on the same page with communication
More efficient and effective use of resourcesFewer pages between admitting RN and MD with time saved from paging and waiting for responses
Less time trying to interpret plans of care from chart and other less direct modes of communication
Improved sharing and knowledge of information with less duplication of gathering from patients and among providers
Improved teamworkFosters a culture for direct communication and opens lines for questioning and speaking up when care plans are not clear

Making Critical Conversations Happen

Integrating Critical Conversations into practice requires both buy‐in among providers and a plan for monitoring the interactions. We recommend beginning with educational efforts (eg, at a physician or nurse staff meeting) and reinforcing them with visual cues, such as posters on the unit (Figure 1). These actions promote awareness and generate expectations that this new clinical policy is being supported by clinical and hospital leadership. Our experiences have demonstrated tremendous learning, including numerous anecdotes about the value of Critical Conversations (Table 3). Our implementation efforts also raised a number of questions that ultimately led to improved clarity in later iterations.

Figure 1
A Critical Conversations poster displayed on the patient care unit.
Provider Experiences Using Critical Conversations
Nothing is worse than meeting a patient for the first time at admission and not being able to answer the basic question of why they were admitted or what the plan is. It gives the impression that we don't talk to each other in caring for patients. [Critical Conversations] can really minimize that interaction and reassure patients, rather than make them worried about the apparent mixed messages or lack of communication and teamwork.Bedside Nurse
[Critical Conversations] seemed like an additional timely responsibility, and not always a part of my workflow, when sitting in the emergency department admitting patients. But, I found that the often 60 second conversations decreased the number of pages I would get for the same patientactually saving me time.Physician
I don't need to have direct communications for every order written. In fact, it would be inefficient for me and the doctors. On the other hand, being engaged in a Critical Conversation provides an opportunity for me to prioritize not only my tasks for the patient in need, but also in context of the other patients I'm caring for.Bedside Nurse
Late in the afternoon, there will often be several admissions coming to our unit simultaneously. Prioritizing what orders need to be processed or faxed is a typically blind task based on the way charts get organizedrather than someone telling me this is a priority.Unit Clerk
There are so many times when I'm trying to determine what the care plans are for a new admission, and simply having a quick conversation allows me to feel part of the team, and, more importantly, allows me to reinforce education and support for the patients and their family members.Bedside Nurse
Discharge always seems chaotic with everyone racing to fill out forms and meet their own tasks and requirements. Invariably, you get called to fix, change, or add new information to the discharge process that would have been easily averted by actually having a brief conversation with the bedside nurse or case manager. Every time I have [a Critical Conversation], I realize its importance for patient care.Physician

Who should be involved in a Critical Conversation?

Identifying which healthcare team members should be involved in Critical Conversations is best determined by the conversation owner. That is, we found communication was most effective when the individual initiating the Critical Conversation directed others who needed to be involved. At admission, the physician writing the admission orders is best suited to make this determination; at a minimum, he or she should engage the bedside nurse but, as in the case example presented, the physician may also need to engage other services in particularly complex situations (eg, respiratory therapy, pharmacy). At time of discharge, there should be a physiciannurse Critical Conversation; however, the owner of the discharge process may determine that other conversations should occur, and this may be inclusive of or driven by a case manager or social worker. Because local culture and practices may drive specific ownership, it's key to outline a protocol for how this should occur. For instance, at admission, we asked the admitting physicians to take responsibility in contacting the bedside nurse. In other venues, this may work more effectively if the bedside nurse pages the physician once the orders are received and reviewed.

Conclusions

We introduced Critical Conversations as an innovative tool and policy that promotes communication and teamwork in a structured format and at a consistent time. Developing formal systems that decrease communication failures in high‐risk circumstances remains a focus in patient safety, evidenced by guidelines for TOs in procedural settings, handoffs in patient care (eg, sign‐out between providers),14, 15 and transitions into and from the hospital setting.16 Furthermore, there is growing evidence that such structured times for communication and teamwork, such as with briefings, can improve efficiency and reduce delays in care.17, 18 However, handoffs, which address provider transitions, and daily multidisciplinary rounds, which bring providers together regularly, are provider‐centered rather than patient‐centered. Critical Conversations focus on times when patients require direct communication about their care plans to ensure safe and high quality outcomes.

Implementation of Critical Conversations provides an opportunity to codify a professional standard for patient‐centered communication at times when it should be expected. Critical Conversations also help build a system that supports a positive safety culture and encourages teamwork and direct communication. This is particularly true at a time when rapid adoption of information technology may have the unintended and opposite effect. For instance, as our hospital moved toward an entirely electronic health record, providers were increasingly relocating from patient care units into remote offices, corner hideaways, or designated computer rooms to complete orders and documentation. Although this may reduce many related errors in these processes and potentially improve communication via shared access to an electronic record, it does allow for less direct communicationa circumstance that traditionally occurs (even informally) when providers share the same clinical work areas. This situation is aggravated where the nurses are unit‐based and other providers (eg, physicians, therapists, case managers) are service‐based.

Integrating Critical Conversations into practice comes with expected challenges, most notably around workflow (eg, adds a step, although may save steps down the line) and the expectations concomitant with any change in standard of care (possible enforcement or auditing of their occurrence). Certain cultural barriers may also play a significant role, such as the presence of hierarchies that can hinder open communication and the related ability to speak up with concerns, as related in the TO literature. Where these cultural barriers highlight historical descriptions of the doctornurse relationship and its effect on patient care,1921 Critical Conversations provide an opportunity to improve such interdisciplinary relationships by providing a shared tool for direct communication.

In summary, we described an innovative communication tool that promotes direct communication at critical junctures during a hospitalization. With the growing complexity of hospital care and greater interdependence between teams that deliver this care, Critical Conversations provide an opportunity to further address the known communication failures that contribute to medical errors.

Acknowledgements

Critical Conversations was developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. We thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

Communication and teamwork failures are the most frequently cited cause of adverse events.1, 2 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.36 For instance, many institutions have adopted SBAR (Situation‐Background‐Assessment‐Recommendation) as a method for providers to deliver critical clinical information in a structured format.7 SBAR focuses on the immediate and urgent event at hand and can occur between any 2 providers. The situation is a brief description of the event (eg, Hi Dr. Smith, this is Paul from 14‐Long, I'm calling about Mrs. Jones in 1427 who is in acute respiratory distress). The background describes details relevant to the situation (eg, She was admitted with a COPD exacerbation yesterday night, and, for the past couple hours, she appears in more distress. Her vital signs are). The assessment (eg, Her breath sounds are diminished and she's moving less air) and recommendation (eg, I'd like to call respiratory therapy and would like you to come assess her now) drive toward having an action defined at the end. Given the professional silos that exist in healthcare, the advent of a shared set of communication tools helps bridge existing gaps in training, experience, and teamwork between different providers.

Regulatory agencies have been heavily invested in attempts to standardize communication in healthcare settings. In 2003, the Joint Commission elevated the concerns for wrong‐site surgery by making its prevention a National Patient Safety Goal, and the following year required compliance with a Universal Protocol (UP).8 In addition to adequate preoperative identification of the patient and marking of their surgical site, the UP called for a time out (TO) just prior to the surgery or procedure. The UP states that a TO requires active communication among all members of the surgical/procedure team, consistently initiated by a designated member of the team, conducted in a fail‐safe mode, so that the planned procedure is not started if a member of the team has concerns.8 Simply, the TO provides an opportunity to clarify plans for care and discuss events anticipated during the procedure among all members of the team (eg, surgeons, anesthesiologists, nurses, technicians). This all‐important pause point ensures that each team member is on the same page.

Whereas a TO involves many high‐risk procedural settings, a significant proportion of hospital care occurs outside of procedures. Patients are often evaluated in an emergency department, admitted to a medical/surgical ward, treated without the need for a procedure, and ultimately discharged home or transferred to another healthcare facility (eg, skilled nursing or acute rehabilitation). In this paper, we introduce the concept of Critical Conversations, a form of nonprocedural time out, as a tool, intervention, and policy that promotes communication and teamwork at the most vulnerable junctures in a patient's hospitalization.

Rationale for Critical Conversations: a Case Scenario

An 82‐year‐old man with hypertension and chronic obstructive pulmonary disease (COPD) is admitted to the hospital with community‐acquired pneumonia and an exacerbation of his COPD. The admitting physician evaluates the patient in the emergency department and completes admission orders. The patient arrives on the medical/surgical unit and the unit clerk processes the orders, stimulating a cascade of downstream events for different providers.

Nurse

The nurse reviews the medication list, notices antibiotics and bronchodilators, and wonders why aren't we administering steroids for his COPD? Do any of these medications need to be given now? Is there anything the physician is worried about? What specific things should prompt me to call the physician with an update or change in condition? I'm not sure if it's safe to send the patient down for the ordered radiographic study because he still looks pretty short of breath. I hate paging the physician several times to get these questions answered because I know that person is busy as well. I also know the patient will have questions about the care plans, which I won't be able to answer. I wonder if I should finish administering evening medications for my other patients as I'm running behind schedule on my other tasks.

Respiratory therapist

At the same time, the respiratory therapist (RT) is contacted to assist with nebulizer therapy for the patient. In reviewing the order for bronchodilators, the RT silently asks, do we think he is going to need continuous nebulizers? What is our oxygen saturation goaldo we want him at 90% or above 95%? I wonder if this patient has a history of CO2 retention and if I should have a BiPAP machine at the bedside.

Physician

After completing the orders for the patient, the physician remains in the emergency department to admit a different patient with a gastrointestinal bleed. This is the fifth admission in the past few hours. The physician feels the impact of constant paging interruptions. A unit clerk pages asking for clarification about a radiographic study that was ordered. A bedside nurse pages and asks if the physician can come and speak to the family about the diagnosis and treatment plans for an earlier admission (something the nurse is not clear about, either). A second bedside nurse pages, stating a different admission is still tachycardic after 3 liters of intravenous fluids and wants to know whether the fluids should be continued. Finally, the bedside nurse pages about whether the new COPD admission can go off the floor for the ordered chest CT or remain on continuous pulse oximetry because of shortness of breath.

Our case scenario is representative of most non‐surgical admissions to a hospital. The hypothetical questions posed from different provider perspectives are also common and often remain unanswered in a timely fashion. Partly because there is no site to mark and no anesthesia to deliver, the clinical encounter escapes attention as an opportunity for error prevention. In our experience, there are specific times during a hospitalization when communication failures are most likely to compromise patient care: the time of admission, the time of discharge,9 and any time when a patient's clinical condition changes acutely. Whereas handoff communications focus on transitions between providers (eg, shift changes), these circumstances are driven by patient transitions. Indirect communications, such as phone, email, or faxes, are suboptimal forms of communication at such times.10 We believe that there should be an expectation for direct communication at these junctures, and we define these direct communications as Critical Conversations.

Description of a Critical Conversation

In the hours that follow an admission, providers (and often the patients or their family as well) invariably exchange any number of inefficient calls or pages to clarify care plans, discuss a suspected diagnosis, anticipate concerns in the first night, and/or highlight which orders should be prioritized, such as medications or diagnostic studies. A Critical Conversation at time of admission does in this circumstance exactly what a TO attempts to provide before a procedure foster communication and teamwork as a patient is about to be placed at risk for adverse events. The exchange involves discussion of the following:

  • Admitting diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any admitting orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

At the other end of a hospitalization, with the known complications arising from a patient's discharge,11, 12 the same process is needed. Rather than having each discipline focus on an individual role or task in getting a patient safely discharged, Critical Conversations allow the entire team, including the patient,13 to ensure that concerns have been addressed. This might help clarify simple measures around follow‐up appointments, whom to call with questions after discharge, or symptoms to watch for that may warrant a repeat evaluation. Nurses anecdotally lament that they first learn about a planned discharge only when the discharge order is written in the chart or if a patient informs them. Both scenarios reflect poorly on the teamwork required to assure patients we're working together, and that key providers are on the same page with respect to discharge planning. The exchange at discharge involves discussion of these elements:

  • Discharge diagnosis

  • Follow‐up plans

  • Need for education/training prior to discharge

  • Necessary paperwork completed

  • Anticipated time of discharge.

 

Finally, where many patients are admitted to a hospital, improve, and then return home, others develop acute changes during their hospitalization. For example, the patient in our case scenario could develop respiratory failure and require transfer to the intensive care unit (ICU). Or a different patient might have an acute change in mental status, a new fever, a new abnormal vital sign (eg, tachycardia or hypoxia), or an acute change re existing abdominal painall of which may require a battery of diagnostic tests. These circumstances define the third time for a Critical Conversation: a change in clinical condition. Such situations often require a change in the care plan, a change in priorities for delivering care at that time (for the patient in need and for other patients being cared for by the same nurse and physician), a need for additional resources (eg, respiratory therapist, phlebotomist, pharmacist), and, ultimately, a well‐orchestrated team effort to make it all happen. The specific item prompting the Critical Conversation may impact the nature of the exchange, which involves discussion of these components:

  • Suspected diagnosis

  • Immediate treatment plan

  • Medications ordered (particularly those new to a patient to anticipate an adverse event)

  • Priority for completing any new orders

  • Guidelines for physician notification when a change in patient condition occurs.

 

In addition to the above checklist for each Critical Conversation, each exchange should also address two open‐ended questions: 1) what do you anticipate happening in the next 24 hours, and 2) what questions might the patient/family have?

One may ask, and we did, why not have a direct communication daily between a physician and a bedside nurse on each patient? Most physicians and nurses know the importance of direct communication, but there are also times when each is prioritizing work in competing fashions. Adopting Critical Conversations isn't meant to deter from communications that are vital to patient care; rather, it is intended to codify distinct times when a direct communication is required for patient safety.

Lessons Learned

Table 1 provides an example of a Critical Conversation using the sample case scenario. Table 2 lists the most frequent outcomes that resulted from providers engaging in Critical Conversations. These were captured from discussions with bedside nurses and internal medicine residents on our primary medical unit. Both tables highlight how these deliberate and direct communications can create a shared understanding of the patient's medical problems, can help prioritize what tasks should take place (eg, radiology study, medication administration, calling another provider), can improve communication between providers and patients, and potentially accomplish all of these goals in a more efficient manner.

Example of a Critical Conversation (Using the Sample Case Scenario)
Physician: Hi Nurse X, I'm Dr. Y, and I just wrote admission orders for Mr. Z whom, I understand, you'll be admitting. He's 82 with a history of COPD and is having an exacerbation related to a community‐acquired pneumonia. He looks comfortable right now as he's received his first dose of antibiotics, a liter of IVF, and 2 nebulizer treatments with some relief of his dyspnea. The main thing he needs up on the floor right now is to have respiratory therapy evaluate him. He's apparently been intubated before for his COPD, so I'd like to have them on board early and consider placing a BiPAP machine at the bedside for the next few hours. I don't anticipate an acute worsening of his condition given his initial improvements in the ED, but you should call me with any change in his condition. I haven't met the family yet because they were not at the bedside, but please convey the plans to them as well. I'll be up later to talk to them directly. Do you have any questions for me right now?
Nurse: I'll call the respiratory therapist right now and we'll make sure to contact you with any changes in his respiratory status. It looks like a chest CT was ordered, but not completed yet. Would you like him to go down for it off monitor?
Physician: Actually, let's watch him for a few hours to make sure he's continuing to improve. I initially ordered the chest CT to exclude a pulmonary embolus, but his history, exam, and chest x‐ray seem consistent with pneumonia. Let's reassess in a few hours.
Nurse: Sounds good. I'll text‐message you a set of his vital signs in 3‐4 hours to give you an update on his respiratory status.
Examples of Potential Outcomes Resulting From a Critical Conversation
General ThemesSpecific Examples
Clarity on plan of careClear understanding of action steps at critical junctures of hospitalization
Goals of admission discussed rather than gleaned from chart or less direct modes of communication
Discharge planning more proactive with better anticipation of timing among patients and providers
Expectation for shared understanding of care plans
Assistance with prioritization of tasks (as well as for competing tasks)Allows RNs to prioritize tasks for new admissions or planned discharges, to determine whether these tasks outweigh tasks for other patients, and to provide early planning when additional resources will be required
Allows MDs to prioritize communications to ensure critical orders receive attention, to obtain support for care plans that require multiple disciplines, and to confirm that intended care plans are implemented with shared sense of priority
Ability to communicate plans to patient and family membersImproved consistency in information provided to patients at critical hospital junctures
Increased engagement of patients in understanding their care plans
Better model for teamwork curative for patients when providers on the same page with communication
More efficient and effective use of resourcesFewer pages between admitting RN and MD with time saved from paging and waiting for responses
Less time trying to interpret plans of care from chart and other less direct modes of communication
Improved sharing and knowledge of information with less duplication of gathering from patients and among providers
Improved teamworkFosters a culture for direct communication and opens lines for questioning and speaking up when care plans are not clear

Making Critical Conversations Happen

Integrating Critical Conversations into practice requires both buy‐in among providers and a plan for monitoring the interactions. We recommend beginning with educational efforts (eg, at a physician or nurse staff meeting) and reinforcing them with visual cues, such as posters on the unit (Figure 1). These actions promote awareness and generate expectations that this new clinical policy is being supported by clinical and hospital leadership. Our experiences have demonstrated tremendous learning, including numerous anecdotes about the value of Critical Conversations (Table 3). Our implementation efforts also raised a number of questions that ultimately led to improved clarity in later iterations.

Figure 1
A Critical Conversations poster displayed on the patient care unit.
Provider Experiences Using Critical Conversations
Nothing is worse than meeting a patient for the first time at admission and not being able to answer the basic question of why they were admitted or what the plan is. It gives the impression that we don't talk to each other in caring for patients. [Critical Conversations] can really minimize that interaction and reassure patients, rather than make them worried about the apparent mixed messages or lack of communication and teamwork.Bedside Nurse
[Critical Conversations] seemed like an additional timely responsibility, and not always a part of my workflow, when sitting in the emergency department admitting patients. But, I found that the often 60 second conversations decreased the number of pages I would get for the same patientactually saving me time.Physician
I don't need to have direct communications for every order written. In fact, it would be inefficient for me and the doctors. On the other hand, being engaged in a Critical Conversation provides an opportunity for me to prioritize not only my tasks for the patient in need, but also in context of the other patients I'm caring for.Bedside Nurse
Late in the afternoon, there will often be several admissions coming to our unit simultaneously. Prioritizing what orders need to be processed or faxed is a typically blind task based on the way charts get organizedrather than someone telling me this is a priority.Unit Clerk
There are so many times when I'm trying to determine what the care plans are for a new admission, and simply having a quick conversation allows me to feel part of the team, and, more importantly, allows me to reinforce education and support for the patients and their family members.Bedside Nurse
Discharge always seems chaotic with everyone racing to fill out forms and meet their own tasks and requirements. Invariably, you get called to fix, change, or add new information to the discharge process that would have been easily averted by actually having a brief conversation with the bedside nurse or case manager. Every time I have [a Critical Conversation], I realize its importance for patient care.Physician

Who should be involved in a Critical Conversation?

Identifying which healthcare team members should be involved in Critical Conversations is best determined by the conversation owner. That is, we found communication was most effective when the individual initiating the Critical Conversation directed others who needed to be involved. At admission, the physician writing the admission orders is best suited to make this determination; at a minimum, he or she should engage the bedside nurse but, as in the case example presented, the physician may also need to engage other services in particularly complex situations (eg, respiratory therapy, pharmacy). At time of discharge, there should be a physiciannurse Critical Conversation; however, the owner of the discharge process may determine that other conversations should occur, and this may be inclusive of or driven by a case manager or social worker. Because local culture and practices may drive specific ownership, it's key to outline a protocol for how this should occur. For instance, at admission, we asked the admitting physicians to take responsibility in contacting the bedside nurse. In other venues, this may work more effectively if the bedside nurse pages the physician once the orders are received and reviewed.

Conclusions

We introduced Critical Conversations as an innovative tool and policy that promotes communication and teamwork in a structured format and at a consistent time. Developing formal systems that decrease communication failures in high‐risk circumstances remains a focus in patient safety, evidenced by guidelines for TOs in procedural settings, handoffs in patient care (eg, sign‐out between providers),14, 15 and transitions into and from the hospital setting.16 Furthermore, there is growing evidence that such structured times for communication and teamwork, such as with briefings, can improve efficiency and reduce delays in care.17, 18 However, handoffs, which address provider transitions, and daily multidisciplinary rounds, which bring providers together regularly, are provider‐centered rather than patient‐centered. Critical Conversations focus on times when patients require direct communication about their care plans to ensure safe and high quality outcomes.

Implementation of Critical Conversations provides an opportunity to codify a professional standard for patient‐centered communication at times when it should be expected. Critical Conversations also help build a system that supports a positive safety culture and encourages teamwork and direct communication. This is particularly true at a time when rapid adoption of information technology may have the unintended and opposite effect. For instance, as our hospital moved toward an entirely electronic health record, providers were increasingly relocating from patient care units into remote offices, corner hideaways, or designated computer rooms to complete orders and documentation. Although this may reduce many related errors in these processes and potentially improve communication via shared access to an electronic record, it does allow for less direct communicationa circumstance that traditionally occurs (even informally) when providers share the same clinical work areas. This situation is aggravated where the nurses are unit‐based and other providers (eg, physicians, therapists, case managers) are service‐based.

Integrating Critical Conversations into practice comes with expected challenges, most notably around workflow (eg, adds a step, although may save steps down the line) and the expectations concomitant with any change in standard of care (possible enforcement or auditing of their occurrence). Certain cultural barriers may also play a significant role, such as the presence of hierarchies that can hinder open communication and the related ability to speak up with concerns, as related in the TO literature. Where these cultural barriers highlight historical descriptions of the doctornurse relationship and its effect on patient care,1921 Critical Conversations provide an opportunity to improve such interdisciplinary relationships by providing a shared tool for direct communication.

In summary, we described an innovative communication tool that promotes direct communication at critical junctures during a hospitalization. With the growing complexity of hospital care and greater interdependence between teams that deliver this care, Critical Conversations provide an opportunity to further address the known communication failures that contribute to medical errors.

Acknowledgements

Critical Conversations was developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. We thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

References
  1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
  2. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
  3. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
  4. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
  5. Sehgal NL,Fox M,Vidyarthi AR,Sharpe BA,Gearhart S,Bookwalter T,Barker J,Alldredge BA,Blegen MA,Wachter RM.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) Experience.J Gen Intern Med.2008;23(12):20532057.
  6. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13Suppl‐1:i8590.
  7. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
  8. The Joint Commission Universal Protocol for Preventing Wrong Site, Wrong Procedure, Wrong Person Surgery. Available at: http://www.jointcommission.org/NR/rdonlyres/E3C600EB‐043B‐4E86‐B04E‐CA4A89AD5433/0/universal_protocol.pdf. Accessed January 24, 2010.
  9. Greenwald JL,Denham CR,Jack BW.The hospital discharge: a review of a high risk care transition with highlights of a reengineered discharge process.J Patient Saf.2007;3:97106.
  10. How do we communicate? Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed January 24, 2010.
  11. Kripalani S,Jackson AT,Schnipper JL,Coleman EA.Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists.J Hosp Med.2007;2(5):314323.
  12. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  13. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
  14. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
  15. Coleman EA,Berenson RA.Lost in transition: challenges and opportunities for improving the quality of transitional care.Ann Intern Med.2004;141(7):533536.
  16. Halasyamani L,Kripalani S,Coleman E, et al.Transition of care for hospitalized elderly patients—development of a discharge checklist for hospitalists.J Hosp Med.2006;1(6):354360.
  17. Nundy S,Mukherjee A,Sexton JB, et al.Impact of preoperative briefings on operating room delays.Arch Surg.2008;143(11):10681072.
  18. Makary MA,Holzmueller CG,Thompson D, et al.Operating room briefings: working on the same page.Jt Comm J Qual Patient Saf.2006;32(6):351355.
  19. Greenfield LJ.Doctors and nurses: a troubled partnership.Ann Surg.1999;230(3):279288.
  20. Baggs JG,Schmitt MH,Mushlin AI, et al.Association between nurse‐physician collaboration and patient outcomes in three intensive care units.Crit Care Med.1999;27(9):19911998.
  21. Lingard L,Regehr G,Orser B, et al.Evaluation of a preoperative checklist and team briefing among surgeons, nurses, and anesthesiologists to reduce failures in communication.Arch Surg.2008;143(1):1217.
References
  1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
  2. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
  3. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
  4. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
  5. Sehgal NL,Fox M,Vidyarthi AR,Sharpe BA,Gearhart S,Bookwalter T,Barker J,Alldredge BA,Blegen MA,Wachter RM.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) Experience.J Gen Intern Med.2008;23(12):20532057.
  6. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13Suppl‐1:i8590.
  7. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
  8. The Joint Commission Universal Protocol for Preventing Wrong Site, Wrong Procedure, Wrong Person Surgery. Available at: http://www.jointcommission.org/NR/rdonlyres/E3C600EB‐043B‐4E86‐B04E‐CA4A89AD5433/0/universal_protocol.pdf. Accessed January 24, 2010.
  9. Greenwald JL,Denham CR,Jack BW.The hospital discharge: a review of a high risk care transition with highlights of a reengineered discharge process.J Patient Saf.2007;3:97106.
  10. How do we communicate? Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed January 24, 2010.
  11. Kripalani S,Jackson AT,Schnipper JL,Coleman EA.Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists.J Hosp Med.2007;2(5):314323.
  12. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  13. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
  14. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
  15. Coleman EA,Berenson RA.Lost in transition: challenges and opportunities for improving the quality of transitional care.Ann Intern Med.2004;141(7):533536.
  16. Halasyamani L,Kripalani S,Coleman E, et al.Transition of care for hospitalized elderly patients—development of a discharge checklist for hospitalists.J Hosp Med.2006;1(6):354360.
  17. Nundy S,Mukherjee A,Sexton JB, et al.Impact of preoperative briefings on operating room delays.Arch Surg.2008;143(11):10681072.
  18. Makary MA,Holzmueller CG,Thompson D, et al.Operating room briefings: working on the same page.Jt Comm J Qual Patient Saf.2006;32(6):351355.
  19. Greenfield LJ.Doctors and nurses: a troubled partnership.Ann Surg.1999;230(3):279288.
  20. Baggs JG,Schmitt MH,Mushlin AI, et al.Association between nurse‐physician collaboration and patient outcomes in three intensive care units.Crit Care Med.1999;27(9):19911998.
  21. Lingard L,Regehr G,Orser B, et al.Evaluation of a preoperative checklist and team briefing among surgeons, nurses, and anesthesiologists to reduce failures in communication.Arch Surg.2008;143(1):1217.
Issue
Journal of Hospital Medicine - 6(4)
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Addressing the business of discharge: Building a case for an electronic discharge summary

Delivering the highest possible quality of care is among the top priorities of all medical centers. That said, any quality innovation must be seen as adding value from a variety of perspectives. Especially in the current economic climate, a sound business case is paramount to the advancement of any quality innovation. Given the nature of their work, hospitalists are ideally suited to undertake system improvement innovations. To assist hospitalists in successfully implementing quality and safety initiatives, we have designed a framework of elements required for a business case. We describe our experience developing and implementing an electronic discharge summary and utilize a structured framework to articulate the business case for its implementation.

Defining a Business Case Framework

A business case is a structured proposal outlining the qualitative and quantitative factors that justify a course of action. An effective business case for a quality improvement initiative articulates how both factors are aligned with preexisting organizational goals. In modeling the business case framework for the electronic discharge summary, Figure 1 outlines the qualitative and quantitative costs and benefits that can affect institutional decision making.

Figure 1
Applying the business case framework to electronic discharge summaries.

Organizational Aims and Financial Impact: Determining Costs and Benefits

Organizational goals drive decision making and resource allocation at all levels. As priorities change with time, understanding which predominate in an organization will be essential to building a business case. Institutions may be more willing to adopt expensive innovations if they are justified by progress toward the qualitative organizational goals. Figure 1 demonstrates several institutional goals both qualitative (provider satisfaction, quality improvement, and institutional reputation) and quantitative (cost avoidance, cost savings, and revenue generation) that could drive the decision making for an electronic discharge summary. After examining how an initiative aligns with institutional aims, the next step is to weigh the benefits against the potential costs. Costs in our example include not only the quantitative financial investment in information technology (IT) infrastructure, personnel and maintenance, but also may include qualitative costs such as loss of staff efficiency and redundant documentation. Costs and savings will be geographically variable and depend on the institutional framework, eg, the existing system for medical records, institutional patient payer mix, type of payment structure (global vs. utilization based*), and reimbursement rates. While it may be impractical to account for every cost and savings resulting from the project implementation, every effort should be made to account for the key variables that make up the cost‐benefit calculation.

The Business Case for an Electronic Discharge Summary at University of California San Francisco (UCSF)

Current State of Discharge Documentation a UCSF

UCSF Medical Center is a 600‐bed quaternary care academic institution that discharges approximately 100 patients per day. Our hospital discharge summary is used to document a patient's hospital course and post discharge plan, information necessary for continued care in the outpatient setting. Literature supports the potential for timely and relevant discharge summaries to improve care transitions, clinician satisfaction, and resource use.1 In 2008, however, the majority of our discharge summaries were completed greater than 14 days post discharge, in accordance with national practice.2 Despite Centers for Medicare & Medicaid Services (CMS) and the Joint Commission discharge summary standards regarding content,3, 4 most discharge summaries are composed using freeform dictation.2 Consequently, discharge summaries often lack critical information,57 and may not reach the correct outpatient provider in a timely manner.5, 811

Our Proposed Solution: E‐Discharge

As hospitals are increasingly implementing electronic medical records (EMR),12 there is a growing opportunity to efficiently and reliably incorporate information from the medical record into electronic or database assisted discharge materials. At UCSF the need to develop a system to document and communicate tests pending at discharge fueled the development of an electronic discharge summary. UCSF's vendor‐supplied EMR lacks the ability to integrate electronic patient data into a progress note or discharge summary in a manner usable for physicians. Instead physicians are required to use a telephone voice dictation system, which is subsequently transcribed to text within 1 to 3 days. A separate software platform tracks attending signature of the transcribed text and automatically triggers dissemination through computerized fax and campus mail. The turnaround time for a discharge summary can be as long as 3 weeks. With the time involved and high cost of implementing new or more sophisticated versions of EMR, we chose to design a solution that would improve care for our patients in a more immediate and cost neutral fashion. Our goal was to create an affordable, electronic, systematized solution to produce both timely and relevant discharge summaries, in the hopes of improving communications with providers and thus patient outcomes.

In earlier work, UCSF developed UCSF Note Writer, a template‐based documentation tool that uses web service to import data from the underlying database for provider documentation.13 As a standardized template has been shown to improve quality of communication to both patients and referring providers,1, 14, 15 we developed a template in UCSF Note Writer with both free text and auto‐populated fields for a discharge summary based on current guidelines.1619 We encouraged the documentation of medication changes, changes in functional status and pending tests.

The adoption of such an electronic format has also been shown to improve the efficiency of discharge documentation over conventional dictation and transcription.1, 2022 While this change may be institution dependent, we employed strategies such as allowing the discharge summary to be initiated and updated throughout the hospital admission and unifying the discharge summary with the last day's progress note to facilitate timeliness. To promote efficiency, we allowed providers to import pertinent labs, microbiology, and in the future, the importation of pending tests. While the electronic format in itself does not promote timeliness, it incorporates the discharge summary into physician daily workflow and enables efficiency in data gathering and transfer. For outpatient providers who can access the EMR, any delay or potential fault in the delivery of the discharge materials is eliminated, while outside providers can receive copies through other rapid and reliable modes of electronic delivery (eg, EMR inbox notification) with an appropriate infrastructure.

Application of the Business Framework to the Case for an Electronic Discharge

Considering the potential improvements in care delivery, the argument for an electronic discharge summary may seem self‐evident. To realize its implementation, however, it is necessary to consider other aspects of organizational decision making. We employed the following structure to articulate a robust and sound business case for e‐discharge.

Qualitative Benefits

Quality and Safety

Publically reported data are often derived from hospital chart abstraction and may impact accreditation, reputation, and pay for performance programs.18, 23, 24 The discharge summary is a readily available source of information regarding discharge medications, patient instruction, and communication regarding pending tests. As such, its quality should be a priority for hospital decision makers. Electronic discharge summaries have the potential to reduce adverse events in the high‐risk post‐hospitalization period.1, 25 As such they may improve outpatient physicians' ability to deliver relevant care, reduce preventable readmissions26 and reduce malpractice vulnerability27all key drivers in organizational decision making.

Patient Satisfaction

Patients want to feel prepared for discharge by understanding the continuity of their care from the hospital to the outpatient setting. Discharge preparedness, commonly queried and reported in national patient satisfaction surveys, is low.28 Many electronic discharge summary platforms allow for translation into tailored patient instructions available to the patient in real time, helping to ensure that patients receive quality discharge education.29

Referring Physician Satisfaction

Poor discharge communication reduces referring physicians' satisfaction, which may discourage them from referring patients to the hospital or organization, having broader financial implications.25, 30 Even for medical centers with a busy emergency department, outpatient physician referrals and recommendations make up over 50% of an institution's admissions.31 An electronic discharge summary available in the EMR at the time of discharge, electronically transmitted to referring providers can impact the referral patterns of community physicians.

Readmission

Now publicly reported, readmission rates are another benchmark by which to judge hospital care.32 Patients with discharge summaries that are unavailable to outpatient providers, a very common occurance,2 have a higher trend toward readmission.26 Improved quality of care at the time of discharge resulting in fewer readmissions will better position hospitals to contend with potential Medicare reforms.

Quantitative Benefits

IT Infrastructure: Transcription, Deficiency Tracking, Dissemination

Hospitals, including UCSF, use internal or external transcriptionists to transcribe dictated recordings into typed text at a substantial cost to large medical centers. Medical records staff also track both discharge summary completion and their dissemination to referring providers in compliance with regulatory mandates.4, 33 The use of electronic documentation that relies on physician‐direct entry and that automates dissemination and tracking of discharge documentation provides a potential cost savings to offset the costs of a new system. UCSF Medical Center discharges 100 patients per day and could conservatively avoid almost $500,000 in transcription costs annually (Text Box 1).34

Text Box 1

UCSF Transcription costs:

Average cost/line for transcribed text: $0.17

Average Lines in a discharge summary: 80

# pts discharged/day: 100

Yearly costs = $496,400

Billing

Delays in completion of discharge summaries result in billing delays when critical information required for coding is in the discharge summary. Deferred payment on long admissions can reach tens of thousands of dollars, representing a significant strain on medical center finances. Comprehensive electronic discharge materials may simplify coding through careful documentation and improve billing efficiency through rapid completion.

At our medical center, approximately 20% of billing is delayed due to incomplete discharge documentation. For a hospital that generates over $1.4 billion dollars in billing revenue per year, this can translate into significant financial losses. Hospitals may have to borrow money or draw from existing resources to cover operative deficits created by a delay in the receipt of large payment. Lenders charge approximately 1% to 2% annual interest rate, which translates into 0.2% to 0.4% in billed costs that the hospital gives away to their lenders. Hospitals would be well served by eliminating delays in billing to improve revenue flow (Text Box 2).

Text Box 2

UCSF Annual revenue: $1.4 Billion

Billing that requires discharge summary completion: 20%

Lender's interest rate: 12%

Lenders interest rate (12%) on delayed billing (20%) = 0.20.4% of total revenue

Assuming a 14 day delay in billing: 0.20.4% of total revenue ($1,400,000,000) for 14/365 days = $107,000$215,000

Qualitative Costs

Efficiency and Physician Time

Implementation of any new system is likely to result in initial diminished efficiency. If patient volume is stable, this may not translate into loss of revenue, but rather cause staff to change their workflow. For example, given the new inefficiency in charting, staff may spend less time on direct patient care tasks (Intravenous Catheter placement, FT placement, patient education, discharge instructions), thus increasing the qualitative costs to implementing the system.

To minimize these costs, we used a step wise phased role out starting with one pilot team, with a plan to expand to multiple teams prior to implementation on the entire medicine service. This allowed for the creation of one central and several ancillary physician champions to troubleshoot the new system to help minimize productivity losses. One of the largest concerns in the switch from voice dictation to physician‐direct entry into an electronic summary is the cost of physician time. System adjustments through several pilots helped ensure that the time investment of a novice user was not significantly greater than time previously spent dictating.

Quality of Documentation

Unanticipated consequences from a switch to an electronic platform must be considered, such as the possibility of longer more redundant discharge summaries. The amount of information available for automated import will vary by institutional preference, but the recipient's access to the EMR, primary physician preference, and technologic capabilities should be considered. At UCSF we made an effort to distill the information most important to subsequent care, disabling the importation of multiple days of radiology data and instead working to create a system for discharge medication importation. As with any electronic document, the medium also lends itself to cutting and pasting, which may lead to anachronistic information carried forward from hospital progress notes earlier in the stay.35, 36 The largest experience with this unintended consequence can be found in the Veteran's Affairs Health System EMR, which found that 9% of progress notes studied contained copied or duplicated text.37 The authors recommended that clear policies, programs to raise practitioner awareness, and the development of monitoring procedure be implemented coincident with electronic note‐writing capabilities.

Quantitative Costs

Quantitative Costs will be highly variable across institutions, geographical areas, and software platforms as the infrastructure of existing EMRs are highly variable. The cost of implementation depends heavily on whether inpatient documentation (and thus discharge documentation) is a feature of an institutional EMR, or whether a stand‐alone discharge documentation infrastructure is needed. An explanation of the differences between these types of EMRs and the importance to the cost of infrastructure implementation is further described in the following section. Rather than providing a direct accounting of costs, we have provided a tabular summary of costs that should be considered with the adoption of an electronic discharge summary based on the type of institutional EMR (Table 1).

Summary of Costs
Voice Dictation E‐Discharge in an EMR With Inpatient Documentation Abilities E‐Discharge in an EMR Without Inpatient Documentation Abilities
  • Abbreviation: EMR, electronic medical record.

Infrastructure
Software +
Hardware (sufficient computers and printers) + +
Network connectivity + +
Server capacity for system backup + +
Interface with current EMR +
Personnel
Physician champion + +
Physician training + +
Computer programmer + +
Transcription +
Deficiency tracking +
Dissemination +
Maintenance
Computer/printer maintenance + +
Network maintenance + +
Software add‐ons and updates + + +

Infrastructure

For most health care organizations, the transition to an EMR includes adoption of results reporting systems and computerized provider order entry; only a more select group of hospitals with a complete EMR electronically document inpatient care (eg, progress notes) through physician direct entry. While there is substantial literature regarding the benefits and pitfalls of adopting computerized order entry (CPOE),38, 39 there is less attention devoted to the costs of implementing large‐scale electronic documentation, including an electronic discharge summary, as opposed to paper notes or dictation.4042 Institutions using an EMR with electronic care documentation capability have already invested in the infrastructure to implement electronic discharge documentation, and can employ it at a modest cost. For these institutions, the infrastructure cost of the transition from paper charting or dictation to direct entry by physicians lies in ensuring sufficient computers and connectivity to handle the increased computer use. On the other hand, for those institutions where the EMR lacks this capability there are few freestanding documentation platforms available for purchase. The cost of implementing such a system is high, both for the purchase of additional software and the integration of that software in to the EMR supplied by the primary vendor. Other notable infrastructure costs to consider are ensuring sufficient network connectivity, computers and printers to accommodate increased use that will come with electronic note writing as well as server support for system backups.

Personnel

Engaging the right personnel will smooth the implementation of an electronic discharge summary. In addition to dedicated user training sessions, a physician champion who can promote and monitor user training on the new platform will facilitate prompt implementation. An IT support programmer should work with the physician champion to address concerns and troubleshoot problems. Additional personnel may also be needed to track progress in discharge summary adoption, quality and efficiency. Ideally these personnel can be funneled from those who work transcribing, disseminating and tracking completion of discharge summaries, positions that will be needed in a reduced capacity.

Maintenance

Increased IT infrastructure also means increased IT maintenance and upgrades of servers, network connectivity, computers and printers. Discussions with vendors regarding costs of maintenance, upgrades and add‐on features should be considered when adopting an electronic discharge summary platform.

Conclusion

While many QI initiatives have the potential to improve clinical care, resource limitations and competing priorities necessitate that hospital decision makers see the value of hospitalist driven improvements. A sound business case is the key to successfully influencing decision making and furthering necessary innovations. We have detailed the elements of a business case and applied them to a proposed innovationthe electronic discharge summary. While the cost of multifunctional EMR with full electronic care documentation may be impossible to implement given high initial costs and competing priorities, investing in an e‐discharge solution has real‐time benefits in the impact on patients, system improvements, qualitative benefits, and return on investment. Being able to articulate key qualitative and quantitative elements creates a sound business case that can be applied to QI initiatives in general, and assist hospitalists in garnering support and resources to continue to improve care.

Acknowledgements

The authors acknowledge Kathleen Kerr and the members of the BOOST collaborative for helping with background research and in creating the impetus for this work.

Global payments are fixed‐dollar payments for the care that patients may receive in a given time period, such as a month or year, whereas utilization based payments are payments based on the use of diagnostic and treatment modalities (eg, CT scans and blood cultures).

References
  1. O'Leary KJ,Liebovitz DM,Feinglass J, et al.Creating a better discharge summary: Improvement in quality and timeliness using an electronic discharge summary.J Hosp Med.2009;4(4):219225.
  2. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  3. Standard IM.6.10Hospital Accredidation Standards. In: Oakbrook Terrace,IL:Joint Commission Resources;2006:338340.
  4. MacDonald I.Medical Record Services, Section 482.24. In: MacDonald I, ed.The CMS Hospital Conditions of Participation.First edition.United States:Hc Pro Inc.;2005:2425.
  5. Fair JF.Hospital discharge and death communications.Br J Hosp Med.1989;42(1):5961.
  6. Tulloch AJ,Fowler GH,McMullan JJ,Spence JM.Hospital discharge reports: content and design.Br Med J.1975;4(5994):443446.
  7. Roy CL,Poon EG,Karson AS, et al.Patient safety concerns arising from test results that return after hospital discharge.Ann Intern Med.2005;143(2):121128.
  8. Penney TM.Delayed communication between hospitals and general practitioners: where does the problem lie?BMJ.1988;297(6640):2829.
  9. Mageean RJ.Study of “discharge communications” from hospital.Br Med J (Clin Res Ed).1986;293(6557):12831284.
  10. van Walraven C,Weinberg AL.Quality assessment of a discharge summary system.CMAJ.1995;152(9):14371442.
  11. Wilson S,Ruscoe W,Chapman M,Miller R.General practitioner‐hospital communications: a review of discharge summaries.J Qual Clin Pract.2001;21(4):104108.
  12. Carroll J.Stimulus bill spurs plans for rapid IT progress.Manag Care.2009;18(2):56.
  13. Cucina RJ,Lindsay L,Kupfernagel H, et al. UCSF Notewriter. Copyright Regents of the University of California.2006year="2010"2010.
  14. Rao P,Andrei A,Fried A,Gonzalez D,Shine D.Assessing quality and efficiency of discharge summaries.Am J Med Qual.2005;20(6):337343.
  15. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  16. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  17. van Walraven C,Rokosh E.What is necessary for high‐quality discharge summaries?Am J Med Qual.1999;14(4):160169.
  18. O'Leary KJ,Liebovitz DM,Feinglass J,Liss DT,Baker DW.Outpatient physicians' satisfaction with discharge summaries and perceived need for an electronic discharge summary.J Hosp Med.2006;1(5):317320.
  19. Alderton M,Callen J.Are general practitioners satisfied with electronic discharge summaries?HIM J.2007;36(1):712.
  20. van Walraven C,Laupacis A,Seth R,Wells G.Dictated versus database‐generated discharge summaries: a randomized clinical trial.CMAJ.1999;160(3):319326.
  21. Lissauer T,Paterson CM,Simons A,Beard RW.Evaluation of computer generated neonatal discharge summaries.Arch Dis Child.1991;66(4 Spec No):433436.
  22. Archbold RA,Laji K,Suliman A,Ranjadayalan K,Hemingway H,Timmis AD.Evaluation of a computer‐generated discharge summary for patients with acute coronary syndromes.Br J Gen Pract.1998;48(429):11631164.
  23. The Common Wealth Fund. Why not the best org. Available at: http/www.whynotthebest.org. Updated 2009. Accessed May2010.
  24. Greene SE,Nash DB.Pay for performance: an overview of the literature.Am J Med Qual.2009;24(2):140163.
  25. Forster AJ,Clark HD,Menard A, et al.Adverse events among medical patients after discharge from hospital.CMAJ.2004;170(3):345349.
  26. van Walraven C,Seth R,Austin PC,Laupacis A.Effect of discharge summary availability during post‐discharge visits on hospital readmission.J Gen Intern Med.2002;17(3):186192.
  27. Gandhi TK,Kachalia A,Thomas EJ, et al.Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims.Ann Intern Med.2006;145(7):488496.
  28. Coleman EA,Mahoney E,Parry C.Assessing the quality of preparation for posthospital care from the patient's perspective: the care transitions measure.Med Care.2005;43(3):246255.
  29. Jack BW,Chetty VK,Anthony D, et al.A reengineered hospital discharge program to decrease rehospitalization: a randomized trial.Ann Intern Med.2009;150(3):178187.
  30. Forster AJ,Murff HJ,Peterson JF,Gandhi TK,Bates DW.Adverse drug events occurring following hospital discharge.J Gen Intern Med.2005;20(4):317323.
  31. Ponzurick TG,France KR,Logar CM.Referring physician satisfaction: toward a better understanding of hospital referrals.J Hosp Mark.1998;12(2):95111.
  32. U.S. Department of Health 7(3):269272.
  33. Kuehn BM.IT vulnerabilities highlighted by errors, malfunctions at veterans' medical centers.JAMA.2009;301(9):919920.
  34. Siegler EL,Adelman R.Copy and paste: a remediable hazard of electronic health records.Am J Med.2009;122(6):495496.
  35. Hammond KW,Helbig ST,Benson CC,Brathwaite‐Sketoe BM.Are electronic medical records trustworthy? Observations on copying, pasting and duplication.AMIA Annu Symp Proc.2003:269273.
  36. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  37. Koppel R,Metlay JP,Cohen A, et al.Role of computerized physician order entry systems in facilitating medication errors.JAMA.2005;293(10):11971203.
  38. Payne TH,Hirschmann JV,Helbig S.The elements of electronic note style.J AHIMA.2003;74(2):68,70.
  39. Embi PJ,Yackel TR,Logan JR,Bowen JL,Cooney TG,Gorman PN.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11(4):300309.
  40. Payne TH,Perkins M,Kalus R,Reilly D.The transition to electronic documentation on a teaching hospital medical service.AMIA Annu Symp Proc.2006:629633.
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Delivering the highest possible quality of care is among the top priorities of all medical centers. That said, any quality innovation must be seen as adding value from a variety of perspectives. Especially in the current economic climate, a sound business case is paramount to the advancement of any quality innovation. Given the nature of their work, hospitalists are ideally suited to undertake system improvement innovations. To assist hospitalists in successfully implementing quality and safety initiatives, we have designed a framework of elements required for a business case. We describe our experience developing and implementing an electronic discharge summary and utilize a structured framework to articulate the business case for its implementation.

Defining a Business Case Framework

A business case is a structured proposal outlining the qualitative and quantitative factors that justify a course of action. An effective business case for a quality improvement initiative articulates how both factors are aligned with preexisting organizational goals. In modeling the business case framework for the electronic discharge summary, Figure 1 outlines the qualitative and quantitative costs and benefits that can affect institutional decision making.

Figure 1
Applying the business case framework to electronic discharge summaries.

Organizational Aims and Financial Impact: Determining Costs and Benefits

Organizational goals drive decision making and resource allocation at all levels. As priorities change with time, understanding which predominate in an organization will be essential to building a business case. Institutions may be more willing to adopt expensive innovations if they are justified by progress toward the qualitative organizational goals. Figure 1 demonstrates several institutional goals both qualitative (provider satisfaction, quality improvement, and institutional reputation) and quantitative (cost avoidance, cost savings, and revenue generation) that could drive the decision making for an electronic discharge summary. After examining how an initiative aligns with institutional aims, the next step is to weigh the benefits against the potential costs. Costs in our example include not only the quantitative financial investment in information technology (IT) infrastructure, personnel and maintenance, but also may include qualitative costs such as loss of staff efficiency and redundant documentation. Costs and savings will be geographically variable and depend on the institutional framework, eg, the existing system for medical records, institutional patient payer mix, type of payment structure (global vs. utilization based*), and reimbursement rates. While it may be impractical to account for every cost and savings resulting from the project implementation, every effort should be made to account for the key variables that make up the cost‐benefit calculation.

The Business Case for an Electronic Discharge Summary at University of California San Francisco (UCSF)

Current State of Discharge Documentation a UCSF

UCSF Medical Center is a 600‐bed quaternary care academic institution that discharges approximately 100 patients per day. Our hospital discharge summary is used to document a patient's hospital course and post discharge plan, information necessary for continued care in the outpatient setting. Literature supports the potential for timely and relevant discharge summaries to improve care transitions, clinician satisfaction, and resource use.1 In 2008, however, the majority of our discharge summaries were completed greater than 14 days post discharge, in accordance with national practice.2 Despite Centers for Medicare & Medicaid Services (CMS) and the Joint Commission discharge summary standards regarding content,3, 4 most discharge summaries are composed using freeform dictation.2 Consequently, discharge summaries often lack critical information,57 and may not reach the correct outpatient provider in a timely manner.5, 811

Our Proposed Solution: E‐Discharge

As hospitals are increasingly implementing electronic medical records (EMR),12 there is a growing opportunity to efficiently and reliably incorporate information from the medical record into electronic or database assisted discharge materials. At UCSF the need to develop a system to document and communicate tests pending at discharge fueled the development of an electronic discharge summary. UCSF's vendor‐supplied EMR lacks the ability to integrate electronic patient data into a progress note or discharge summary in a manner usable for physicians. Instead physicians are required to use a telephone voice dictation system, which is subsequently transcribed to text within 1 to 3 days. A separate software platform tracks attending signature of the transcribed text and automatically triggers dissemination through computerized fax and campus mail. The turnaround time for a discharge summary can be as long as 3 weeks. With the time involved and high cost of implementing new or more sophisticated versions of EMR, we chose to design a solution that would improve care for our patients in a more immediate and cost neutral fashion. Our goal was to create an affordable, electronic, systematized solution to produce both timely and relevant discharge summaries, in the hopes of improving communications with providers and thus patient outcomes.

In earlier work, UCSF developed UCSF Note Writer, a template‐based documentation tool that uses web service to import data from the underlying database for provider documentation.13 As a standardized template has been shown to improve quality of communication to both patients and referring providers,1, 14, 15 we developed a template in UCSF Note Writer with both free text and auto‐populated fields for a discharge summary based on current guidelines.1619 We encouraged the documentation of medication changes, changes in functional status and pending tests.

The adoption of such an electronic format has also been shown to improve the efficiency of discharge documentation over conventional dictation and transcription.1, 2022 While this change may be institution dependent, we employed strategies such as allowing the discharge summary to be initiated and updated throughout the hospital admission and unifying the discharge summary with the last day's progress note to facilitate timeliness. To promote efficiency, we allowed providers to import pertinent labs, microbiology, and in the future, the importation of pending tests. While the electronic format in itself does not promote timeliness, it incorporates the discharge summary into physician daily workflow and enables efficiency in data gathering and transfer. For outpatient providers who can access the EMR, any delay or potential fault in the delivery of the discharge materials is eliminated, while outside providers can receive copies through other rapid and reliable modes of electronic delivery (eg, EMR inbox notification) with an appropriate infrastructure.

Application of the Business Framework to the Case for an Electronic Discharge

Considering the potential improvements in care delivery, the argument for an electronic discharge summary may seem self‐evident. To realize its implementation, however, it is necessary to consider other aspects of organizational decision making. We employed the following structure to articulate a robust and sound business case for e‐discharge.

Qualitative Benefits

Quality and Safety

Publically reported data are often derived from hospital chart abstraction and may impact accreditation, reputation, and pay for performance programs.18, 23, 24 The discharge summary is a readily available source of information regarding discharge medications, patient instruction, and communication regarding pending tests. As such, its quality should be a priority for hospital decision makers. Electronic discharge summaries have the potential to reduce adverse events in the high‐risk post‐hospitalization period.1, 25 As such they may improve outpatient physicians' ability to deliver relevant care, reduce preventable readmissions26 and reduce malpractice vulnerability27all key drivers in organizational decision making.

Patient Satisfaction

Patients want to feel prepared for discharge by understanding the continuity of their care from the hospital to the outpatient setting. Discharge preparedness, commonly queried and reported in national patient satisfaction surveys, is low.28 Many electronic discharge summary platforms allow for translation into tailored patient instructions available to the patient in real time, helping to ensure that patients receive quality discharge education.29

Referring Physician Satisfaction

Poor discharge communication reduces referring physicians' satisfaction, which may discourage them from referring patients to the hospital or organization, having broader financial implications.25, 30 Even for medical centers with a busy emergency department, outpatient physician referrals and recommendations make up over 50% of an institution's admissions.31 An electronic discharge summary available in the EMR at the time of discharge, electronically transmitted to referring providers can impact the referral patterns of community physicians.

Readmission

Now publicly reported, readmission rates are another benchmark by which to judge hospital care.32 Patients with discharge summaries that are unavailable to outpatient providers, a very common occurance,2 have a higher trend toward readmission.26 Improved quality of care at the time of discharge resulting in fewer readmissions will better position hospitals to contend with potential Medicare reforms.

Quantitative Benefits

IT Infrastructure: Transcription, Deficiency Tracking, Dissemination

Hospitals, including UCSF, use internal or external transcriptionists to transcribe dictated recordings into typed text at a substantial cost to large medical centers. Medical records staff also track both discharge summary completion and their dissemination to referring providers in compliance with regulatory mandates.4, 33 The use of electronic documentation that relies on physician‐direct entry and that automates dissemination and tracking of discharge documentation provides a potential cost savings to offset the costs of a new system. UCSF Medical Center discharges 100 patients per day and could conservatively avoid almost $500,000 in transcription costs annually (Text Box 1).34

Text Box 1

UCSF Transcription costs:

Average cost/line for transcribed text: $0.17

Average Lines in a discharge summary: 80

# pts discharged/day: 100

Yearly costs = $496,400

Billing

Delays in completion of discharge summaries result in billing delays when critical information required for coding is in the discharge summary. Deferred payment on long admissions can reach tens of thousands of dollars, representing a significant strain on medical center finances. Comprehensive electronic discharge materials may simplify coding through careful documentation and improve billing efficiency through rapid completion.

At our medical center, approximately 20% of billing is delayed due to incomplete discharge documentation. For a hospital that generates over $1.4 billion dollars in billing revenue per year, this can translate into significant financial losses. Hospitals may have to borrow money or draw from existing resources to cover operative deficits created by a delay in the receipt of large payment. Lenders charge approximately 1% to 2% annual interest rate, which translates into 0.2% to 0.4% in billed costs that the hospital gives away to their lenders. Hospitals would be well served by eliminating delays in billing to improve revenue flow (Text Box 2).

Text Box 2

UCSF Annual revenue: $1.4 Billion

Billing that requires discharge summary completion: 20%

Lender's interest rate: 12%

Lenders interest rate (12%) on delayed billing (20%) = 0.20.4% of total revenue

Assuming a 14 day delay in billing: 0.20.4% of total revenue ($1,400,000,000) for 14/365 days = $107,000$215,000

Qualitative Costs

Efficiency and Physician Time

Implementation of any new system is likely to result in initial diminished efficiency. If patient volume is stable, this may not translate into loss of revenue, but rather cause staff to change their workflow. For example, given the new inefficiency in charting, staff may spend less time on direct patient care tasks (Intravenous Catheter placement, FT placement, patient education, discharge instructions), thus increasing the qualitative costs to implementing the system.

To minimize these costs, we used a step wise phased role out starting with one pilot team, with a plan to expand to multiple teams prior to implementation on the entire medicine service. This allowed for the creation of one central and several ancillary physician champions to troubleshoot the new system to help minimize productivity losses. One of the largest concerns in the switch from voice dictation to physician‐direct entry into an electronic summary is the cost of physician time. System adjustments through several pilots helped ensure that the time investment of a novice user was not significantly greater than time previously spent dictating.

Quality of Documentation

Unanticipated consequences from a switch to an electronic platform must be considered, such as the possibility of longer more redundant discharge summaries. The amount of information available for automated import will vary by institutional preference, but the recipient's access to the EMR, primary physician preference, and technologic capabilities should be considered. At UCSF we made an effort to distill the information most important to subsequent care, disabling the importation of multiple days of radiology data and instead working to create a system for discharge medication importation. As with any electronic document, the medium also lends itself to cutting and pasting, which may lead to anachronistic information carried forward from hospital progress notes earlier in the stay.35, 36 The largest experience with this unintended consequence can be found in the Veteran's Affairs Health System EMR, which found that 9% of progress notes studied contained copied or duplicated text.37 The authors recommended that clear policies, programs to raise practitioner awareness, and the development of monitoring procedure be implemented coincident with electronic note‐writing capabilities.

Quantitative Costs

Quantitative Costs will be highly variable across institutions, geographical areas, and software platforms as the infrastructure of existing EMRs are highly variable. The cost of implementation depends heavily on whether inpatient documentation (and thus discharge documentation) is a feature of an institutional EMR, or whether a stand‐alone discharge documentation infrastructure is needed. An explanation of the differences between these types of EMRs and the importance to the cost of infrastructure implementation is further described in the following section. Rather than providing a direct accounting of costs, we have provided a tabular summary of costs that should be considered with the adoption of an electronic discharge summary based on the type of institutional EMR (Table 1).

Summary of Costs
Voice Dictation E‐Discharge in an EMR With Inpatient Documentation Abilities E‐Discharge in an EMR Without Inpatient Documentation Abilities
  • Abbreviation: EMR, electronic medical record.

Infrastructure
Software +
Hardware (sufficient computers and printers) + +
Network connectivity + +
Server capacity for system backup + +
Interface with current EMR +
Personnel
Physician champion + +
Physician training + +
Computer programmer + +
Transcription +
Deficiency tracking +
Dissemination +
Maintenance
Computer/printer maintenance + +
Network maintenance + +
Software add‐ons and updates + + +

Infrastructure

For most health care organizations, the transition to an EMR includes adoption of results reporting systems and computerized provider order entry; only a more select group of hospitals with a complete EMR electronically document inpatient care (eg, progress notes) through physician direct entry. While there is substantial literature regarding the benefits and pitfalls of adopting computerized order entry (CPOE),38, 39 there is less attention devoted to the costs of implementing large‐scale electronic documentation, including an electronic discharge summary, as opposed to paper notes or dictation.4042 Institutions using an EMR with electronic care documentation capability have already invested in the infrastructure to implement electronic discharge documentation, and can employ it at a modest cost. For these institutions, the infrastructure cost of the transition from paper charting or dictation to direct entry by physicians lies in ensuring sufficient computers and connectivity to handle the increased computer use. On the other hand, for those institutions where the EMR lacks this capability there are few freestanding documentation platforms available for purchase. The cost of implementing such a system is high, both for the purchase of additional software and the integration of that software in to the EMR supplied by the primary vendor. Other notable infrastructure costs to consider are ensuring sufficient network connectivity, computers and printers to accommodate increased use that will come with electronic note writing as well as server support for system backups.

Personnel

Engaging the right personnel will smooth the implementation of an electronic discharge summary. In addition to dedicated user training sessions, a physician champion who can promote and monitor user training on the new platform will facilitate prompt implementation. An IT support programmer should work with the physician champion to address concerns and troubleshoot problems. Additional personnel may also be needed to track progress in discharge summary adoption, quality and efficiency. Ideally these personnel can be funneled from those who work transcribing, disseminating and tracking completion of discharge summaries, positions that will be needed in a reduced capacity.

Maintenance

Increased IT infrastructure also means increased IT maintenance and upgrades of servers, network connectivity, computers and printers. Discussions with vendors regarding costs of maintenance, upgrades and add‐on features should be considered when adopting an electronic discharge summary platform.

Conclusion

While many QI initiatives have the potential to improve clinical care, resource limitations and competing priorities necessitate that hospital decision makers see the value of hospitalist driven improvements. A sound business case is the key to successfully influencing decision making and furthering necessary innovations. We have detailed the elements of a business case and applied them to a proposed innovationthe electronic discharge summary. While the cost of multifunctional EMR with full electronic care documentation may be impossible to implement given high initial costs and competing priorities, investing in an e‐discharge solution has real‐time benefits in the impact on patients, system improvements, qualitative benefits, and return on investment. Being able to articulate key qualitative and quantitative elements creates a sound business case that can be applied to QI initiatives in general, and assist hospitalists in garnering support and resources to continue to improve care.

Acknowledgements

The authors acknowledge Kathleen Kerr and the members of the BOOST collaborative for helping with background research and in creating the impetus for this work.

Global payments are fixed‐dollar payments for the care that patients may receive in a given time period, such as a month or year, whereas utilization based payments are payments based on the use of diagnostic and treatment modalities (eg, CT scans and blood cultures).

Delivering the highest possible quality of care is among the top priorities of all medical centers. That said, any quality innovation must be seen as adding value from a variety of perspectives. Especially in the current economic climate, a sound business case is paramount to the advancement of any quality innovation. Given the nature of their work, hospitalists are ideally suited to undertake system improvement innovations. To assist hospitalists in successfully implementing quality and safety initiatives, we have designed a framework of elements required for a business case. We describe our experience developing and implementing an electronic discharge summary and utilize a structured framework to articulate the business case for its implementation.

Defining a Business Case Framework

A business case is a structured proposal outlining the qualitative and quantitative factors that justify a course of action. An effective business case for a quality improvement initiative articulates how both factors are aligned with preexisting organizational goals. In modeling the business case framework for the electronic discharge summary, Figure 1 outlines the qualitative and quantitative costs and benefits that can affect institutional decision making.

Figure 1
Applying the business case framework to electronic discharge summaries.

Organizational Aims and Financial Impact: Determining Costs and Benefits

Organizational goals drive decision making and resource allocation at all levels. As priorities change with time, understanding which predominate in an organization will be essential to building a business case. Institutions may be more willing to adopt expensive innovations if they are justified by progress toward the qualitative organizational goals. Figure 1 demonstrates several institutional goals both qualitative (provider satisfaction, quality improvement, and institutional reputation) and quantitative (cost avoidance, cost savings, and revenue generation) that could drive the decision making for an electronic discharge summary. After examining how an initiative aligns with institutional aims, the next step is to weigh the benefits against the potential costs. Costs in our example include not only the quantitative financial investment in information technology (IT) infrastructure, personnel and maintenance, but also may include qualitative costs such as loss of staff efficiency and redundant documentation. Costs and savings will be geographically variable and depend on the institutional framework, eg, the existing system for medical records, institutional patient payer mix, type of payment structure (global vs. utilization based*), and reimbursement rates. While it may be impractical to account for every cost and savings resulting from the project implementation, every effort should be made to account for the key variables that make up the cost‐benefit calculation.

The Business Case for an Electronic Discharge Summary at University of California San Francisco (UCSF)

Current State of Discharge Documentation a UCSF

UCSF Medical Center is a 600‐bed quaternary care academic institution that discharges approximately 100 patients per day. Our hospital discharge summary is used to document a patient's hospital course and post discharge plan, information necessary for continued care in the outpatient setting. Literature supports the potential for timely and relevant discharge summaries to improve care transitions, clinician satisfaction, and resource use.1 In 2008, however, the majority of our discharge summaries were completed greater than 14 days post discharge, in accordance with national practice.2 Despite Centers for Medicare & Medicaid Services (CMS) and the Joint Commission discharge summary standards regarding content,3, 4 most discharge summaries are composed using freeform dictation.2 Consequently, discharge summaries often lack critical information,57 and may not reach the correct outpatient provider in a timely manner.5, 811

Our Proposed Solution: E‐Discharge

As hospitals are increasingly implementing electronic medical records (EMR),12 there is a growing opportunity to efficiently and reliably incorporate information from the medical record into electronic or database assisted discharge materials. At UCSF the need to develop a system to document and communicate tests pending at discharge fueled the development of an electronic discharge summary. UCSF's vendor‐supplied EMR lacks the ability to integrate electronic patient data into a progress note or discharge summary in a manner usable for physicians. Instead physicians are required to use a telephone voice dictation system, which is subsequently transcribed to text within 1 to 3 days. A separate software platform tracks attending signature of the transcribed text and automatically triggers dissemination through computerized fax and campus mail. The turnaround time for a discharge summary can be as long as 3 weeks. With the time involved and high cost of implementing new or more sophisticated versions of EMR, we chose to design a solution that would improve care for our patients in a more immediate and cost neutral fashion. Our goal was to create an affordable, electronic, systematized solution to produce both timely and relevant discharge summaries, in the hopes of improving communications with providers and thus patient outcomes.

In earlier work, UCSF developed UCSF Note Writer, a template‐based documentation tool that uses web service to import data from the underlying database for provider documentation.13 As a standardized template has been shown to improve quality of communication to both patients and referring providers,1, 14, 15 we developed a template in UCSF Note Writer with both free text and auto‐populated fields for a discharge summary based on current guidelines.1619 We encouraged the documentation of medication changes, changes in functional status and pending tests.

The adoption of such an electronic format has also been shown to improve the efficiency of discharge documentation over conventional dictation and transcription.1, 2022 While this change may be institution dependent, we employed strategies such as allowing the discharge summary to be initiated and updated throughout the hospital admission and unifying the discharge summary with the last day's progress note to facilitate timeliness. To promote efficiency, we allowed providers to import pertinent labs, microbiology, and in the future, the importation of pending tests. While the electronic format in itself does not promote timeliness, it incorporates the discharge summary into physician daily workflow and enables efficiency in data gathering and transfer. For outpatient providers who can access the EMR, any delay or potential fault in the delivery of the discharge materials is eliminated, while outside providers can receive copies through other rapid and reliable modes of electronic delivery (eg, EMR inbox notification) with an appropriate infrastructure.

Application of the Business Framework to the Case for an Electronic Discharge

Considering the potential improvements in care delivery, the argument for an electronic discharge summary may seem self‐evident. To realize its implementation, however, it is necessary to consider other aspects of organizational decision making. We employed the following structure to articulate a robust and sound business case for e‐discharge.

Qualitative Benefits

Quality and Safety

Publically reported data are often derived from hospital chart abstraction and may impact accreditation, reputation, and pay for performance programs.18, 23, 24 The discharge summary is a readily available source of information regarding discharge medications, patient instruction, and communication regarding pending tests. As such, its quality should be a priority for hospital decision makers. Electronic discharge summaries have the potential to reduce adverse events in the high‐risk post‐hospitalization period.1, 25 As such they may improve outpatient physicians' ability to deliver relevant care, reduce preventable readmissions26 and reduce malpractice vulnerability27all key drivers in organizational decision making.

Patient Satisfaction

Patients want to feel prepared for discharge by understanding the continuity of their care from the hospital to the outpatient setting. Discharge preparedness, commonly queried and reported in national patient satisfaction surveys, is low.28 Many electronic discharge summary platforms allow for translation into tailored patient instructions available to the patient in real time, helping to ensure that patients receive quality discharge education.29

Referring Physician Satisfaction

Poor discharge communication reduces referring physicians' satisfaction, which may discourage them from referring patients to the hospital or organization, having broader financial implications.25, 30 Even for medical centers with a busy emergency department, outpatient physician referrals and recommendations make up over 50% of an institution's admissions.31 An electronic discharge summary available in the EMR at the time of discharge, electronically transmitted to referring providers can impact the referral patterns of community physicians.

Readmission

Now publicly reported, readmission rates are another benchmark by which to judge hospital care.32 Patients with discharge summaries that are unavailable to outpatient providers, a very common occurance,2 have a higher trend toward readmission.26 Improved quality of care at the time of discharge resulting in fewer readmissions will better position hospitals to contend with potential Medicare reforms.

Quantitative Benefits

IT Infrastructure: Transcription, Deficiency Tracking, Dissemination

Hospitals, including UCSF, use internal or external transcriptionists to transcribe dictated recordings into typed text at a substantial cost to large medical centers. Medical records staff also track both discharge summary completion and their dissemination to referring providers in compliance with regulatory mandates.4, 33 The use of electronic documentation that relies on physician‐direct entry and that automates dissemination and tracking of discharge documentation provides a potential cost savings to offset the costs of a new system. UCSF Medical Center discharges 100 patients per day and could conservatively avoid almost $500,000 in transcription costs annually (Text Box 1).34

Text Box 1

UCSF Transcription costs:

Average cost/line for transcribed text: $0.17

Average Lines in a discharge summary: 80

# pts discharged/day: 100

Yearly costs = $496,400

Billing

Delays in completion of discharge summaries result in billing delays when critical information required for coding is in the discharge summary. Deferred payment on long admissions can reach tens of thousands of dollars, representing a significant strain on medical center finances. Comprehensive electronic discharge materials may simplify coding through careful documentation and improve billing efficiency through rapid completion.

At our medical center, approximately 20% of billing is delayed due to incomplete discharge documentation. For a hospital that generates over $1.4 billion dollars in billing revenue per year, this can translate into significant financial losses. Hospitals may have to borrow money or draw from existing resources to cover operative deficits created by a delay in the receipt of large payment. Lenders charge approximately 1% to 2% annual interest rate, which translates into 0.2% to 0.4% in billed costs that the hospital gives away to their lenders. Hospitals would be well served by eliminating delays in billing to improve revenue flow (Text Box 2).

Text Box 2

UCSF Annual revenue: $1.4 Billion

Billing that requires discharge summary completion: 20%

Lender's interest rate: 12%

Lenders interest rate (12%) on delayed billing (20%) = 0.20.4% of total revenue

Assuming a 14 day delay in billing: 0.20.4% of total revenue ($1,400,000,000) for 14/365 days = $107,000$215,000

Qualitative Costs

Efficiency and Physician Time

Implementation of any new system is likely to result in initial diminished efficiency. If patient volume is stable, this may not translate into loss of revenue, but rather cause staff to change their workflow. For example, given the new inefficiency in charting, staff may spend less time on direct patient care tasks (Intravenous Catheter placement, FT placement, patient education, discharge instructions), thus increasing the qualitative costs to implementing the system.

To minimize these costs, we used a step wise phased role out starting with one pilot team, with a plan to expand to multiple teams prior to implementation on the entire medicine service. This allowed for the creation of one central and several ancillary physician champions to troubleshoot the new system to help minimize productivity losses. One of the largest concerns in the switch from voice dictation to physician‐direct entry into an electronic summary is the cost of physician time. System adjustments through several pilots helped ensure that the time investment of a novice user was not significantly greater than time previously spent dictating.

Quality of Documentation

Unanticipated consequences from a switch to an electronic platform must be considered, such as the possibility of longer more redundant discharge summaries. The amount of information available for automated import will vary by institutional preference, but the recipient's access to the EMR, primary physician preference, and technologic capabilities should be considered. At UCSF we made an effort to distill the information most important to subsequent care, disabling the importation of multiple days of radiology data and instead working to create a system for discharge medication importation. As with any electronic document, the medium also lends itself to cutting and pasting, which may lead to anachronistic information carried forward from hospital progress notes earlier in the stay.35, 36 The largest experience with this unintended consequence can be found in the Veteran's Affairs Health System EMR, which found that 9% of progress notes studied contained copied or duplicated text.37 The authors recommended that clear policies, programs to raise practitioner awareness, and the development of monitoring procedure be implemented coincident with electronic note‐writing capabilities.

Quantitative Costs

Quantitative Costs will be highly variable across institutions, geographical areas, and software platforms as the infrastructure of existing EMRs are highly variable. The cost of implementation depends heavily on whether inpatient documentation (and thus discharge documentation) is a feature of an institutional EMR, or whether a stand‐alone discharge documentation infrastructure is needed. An explanation of the differences between these types of EMRs and the importance to the cost of infrastructure implementation is further described in the following section. Rather than providing a direct accounting of costs, we have provided a tabular summary of costs that should be considered with the adoption of an electronic discharge summary based on the type of institutional EMR (Table 1).

Summary of Costs
Voice Dictation E‐Discharge in an EMR With Inpatient Documentation Abilities E‐Discharge in an EMR Without Inpatient Documentation Abilities
  • Abbreviation: EMR, electronic medical record.

Infrastructure
Software +
Hardware (sufficient computers and printers) + +
Network connectivity + +
Server capacity for system backup + +
Interface with current EMR +
Personnel
Physician champion + +
Physician training + +
Computer programmer + +
Transcription +
Deficiency tracking +
Dissemination +
Maintenance
Computer/printer maintenance + +
Network maintenance + +
Software add‐ons and updates + + +

Infrastructure

For most health care organizations, the transition to an EMR includes adoption of results reporting systems and computerized provider order entry; only a more select group of hospitals with a complete EMR electronically document inpatient care (eg, progress notes) through physician direct entry. While there is substantial literature regarding the benefits and pitfalls of adopting computerized order entry (CPOE),38, 39 there is less attention devoted to the costs of implementing large‐scale electronic documentation, including an electronic discharge summary, as opposed to paper notes or dictation.4042 Institutions using an EMR with electronic care documentation capability have already invested in the infrastructure to implement electronic discharge documentation, and can employ it at a modest cost. For these institutions, the infrastructure cost of the transition from paper charting or dictation to direct entry by physicians lies in ensuring sufficient computers and connectivity to handle the increased computer use. On the other hand, for those institutions where the EMR lacks this capability there are few freestanding documentation platforms available for purchase. The cost of implementing such a system is high, both for the purchase of additional software and the integration of that software in to the EMR supplied by the primary vendor. Other notable infrastructure costs to consider are ensuring sufficient network connectivity, computers and printers to accommodate increased use that will come with electronic note writing as well as server support for system backups.

Personnel

Engaging the right personnel will smooth the implementation of an electronic discharge summary. In addition to dedicated user training sessions, a physician champion who can promote and monitor user training on the new platform will facilitate prompt implementation. An IT support programmer should work with the physician champion to address concerns and troubleshoot problems. Additional personnel may also be needed to track progress in discharge summary adoption, quality and efficiency. Ideally these personnel can be funneled from those who work transcribing, disseminating and tracking completion of discharge summaries, positions that will be needed in a reduced capacity.

Maintenance

Increased IT infrastructure also means increased IT maintenance and upgrades of servers, network connectivity, computers and printers. Discussions with vendors regarding costs of maintenance, upgrades and add‐on features should be considered when adopting an electronic discharge summary platform.

Conclusion

While many QI initiatives have the potential to improve clinical care, resource limitations and competing priorities necessitate that hospital decision makers see the value of hospitalist driven improvements. A sound business case is the key to successfully influencing decision making and furthering necessary innovations. We have detailed the elements of a business case and applied them to a proposed innovationthe electronic discharge summary. While the cost of multifunctional EMR with full electronic care documentation may be impossible to implement given high initial costs and competing priorities, investing in an e‐discharge solution has real‐time benefits in the impact on patients, system improvements, qualitative benefits, and return on investment. Being able to articulate key qualitative and quantitative elements creates a sound business case that can be applied to QI initiatives in general, and assist hospitalists in garnering support and resources to continue to improve care.

Acknowledgements

The authors acknowledge Kathleen Kerr and the members of the BOOST collaborative for helping with background research and in creating the impetus for this work.

Global payments are fixed‐dollar payments for the care that patients may receive in a given time period, such as a month or year, whereas utilization based payments are payments based on the use of diagnostic and treatment modalities (eg, CT scans and blood cultures).

References
  1. O'Leary KJ,Liebovitz DM,Feinglass J, et al.Creating a better discharge summary: Improvement in quality and timeliness using an electronic discharge summary.J Hosp Med.2009;4(4):219225.
  2. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  3. Standard IM.6.10Hospital Accredidation Standards. In: Oakbrook Terrace,IL:Joint Commission Resources;2006:338340.
  4. MacDonald I.Medical Record Services, Section 482.24. In: MacDonald I, ed.The CMS Hospital Conditions of Participation.First edition.United States:Hc Pro Inc.;2005:2425.
  5. Fair JF.Hospital discharge and death communications.Br J Hosp Med.1989;42(1):5961.
  6. Tulloch AJ,Fowler GH,McMullan JJ,Spence JM.Hospital discharge reports: content and design.Br Med J.1975;4(5994):443446.
  7. Roy CL,Poon EG,Karson AS, et al.Patient safety concerns arising from test results that return after hospital discharge.Ann Intern Med.2005;143(2):121128.
  8. Penney TM.Delayed communication between hospitals and general practitioners: where does the problem lie?BMJ.1988;297(6640):2829.
  9. Mageean RJ.Study of “discharge communications” from hospital.Br Med J (Clin Res Ed).1986;293(6557):12831284.
  10. van Walraven C,Weinberg AL.Quality assessment of a discharge summary system.CMAJ.1995;152(9):14371442.
  11. Wilson S,Ruscoe W,Chapman M,Miller R.General practitioner‐hospital communications: a review of discharge summaries.J Qual Clin Pract.2001;21(4):104108.
  12. Carroll J.Stimulus bill spurs plans for rapid IT progress.Manag Care.2009;18(2):56.
  13. Cucina RJ,Lindsay L,Kupfernagel H, et al. UCSF Notewriter. Copyright Regents of the University of California.2006year="2010"2010.
  14. Rao P,Andrei A,Fried A,Gonzalez D,Shine D.Assessing quality and efficiency of discharge summaries.Am J Med Qual.2005;20(6):337343.
  15. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  16. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  17. van Walraven C,Rokosh E.What is necessary for high‐quality discharge summaries?Am J Med Qual.1999;14(4):160169.
  18. O'Leary KJ,Liebovitz DM,Feinglass J,Liss DT,Baker DW.Outpatient physicians' satisfaction with discharge summaries and perceived need for an electronic discharge summary.J Hosp Med.2006;1(5):317320.
  19. Alderton M,Callen J.Are general practitioners satisfied with electronic discharge summaries?HIM J.2007;36(1):712.
  20. van Walraven C,Laupacis A,Seth R,Wells G.Dictated versus database‐generated discharge summaries: a randomized clinical trial.CMAJ.1999;160(3):319326.
  21. Lissauer T,Paterson CM,Simons A,Beard RW.Evaluation of computer generated neonatal discharge summaries.Arch Dis Child.1991;66(4 Spec No):433436.
  22. Archbold RA,Laji K,Suliman A,Ranjadayalan K,Hemingway H,Timmis AD.Evaluation of a computer‐generated discharge summary for patients with acute coronary syndromes.Br J Gen Pract.1998;48(429):11631164.
  23. The Common Wealth Fund. Why not the best org. Available at: http/www.whynotthebest.org. Updated 2009. Accessed May2010.
  24. Greene SE,Nash DB.Pay for performance: an overview of the literature.Am J Med Qual.2009;24(2):140163.
  25. Forster AJ,Clark HD,Menard A, et al.Adverse events among medical patients after discharge from hospital.CMAJ.2004;170(3):345349.
  26. van Walraven C,Seth R,Austin PC,Laupacis A.Effect of discharge summary availability during post‐discharge visits on hospital readmission.J Gen Intern Med.2002;17(3):186192.
  27. Gandhi TK,Kachalia A,Thomas EJ, et al.Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims.Ann Intern Med.2006;145(7):488496.
  28. Coleman EA,Mahoney E,Parry C.Assessing the quality of preparation for posthospital care from the patient's perspective: the care transitions measure.Med Care.2005;43(3):246255.
  29. Jack BW,Chetty VK,Anthony D, et al.A reengineered hospital discharge program to decrease rehospitalization: a randomized trial.Ann Intern Med.2009;150(3):178187.
  30. Forster AJ,Murff HJ,Peterson JF,Gandhi TK,Bates DW.Adverse drug events occurring following hospital discharge.J Gen Intern Med.2005;20(4):317323.
  31. Ponzurick TG,France KR,Logar CM.Referring physician satisfaction: toward a better understanding of hospital referrals.J Hosp Mark.1998;12(2):95111.
  32. U.S. Department of Health 7(3):269272.
  33. Kuehn BM.IT vulnerabilities highlighted by errors, malfunctions at veterans' medical centers.JAMA.2009;301(9):919920.
  34. Siegler EL,Adelman R.Copy and paste: a remediable hazard of electronic health records.Am J Med.2009;122(6):495496.
  35. Hammond KW,Helbig ST,Benson CC,Brathwaite‐Sketoe BM.Are electronic medical records trustworthy? Observations on copying, pasting and duplication.AMIA Annu Symp Proc.2003:269273.
  36. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  37. Koppel R,Metlay JP,Cohen A, et al.Role of computerized physician order entry systems in facilitating medication errors.JAMA.2005;293(10):11971203.
  38. Payne TH,Hirschmann JV,Helbig S.The elements of electronic note style.J AHIMA.2003;74(2):68,70.
  39. Embi PJ,Yackel TR,Logan JR,Bowen JL,Cooney TG,Gorman PN.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11(4):300309.
  40. Payne TH,Perkins M,Kalus R,Reilly D.The transition to electronic documentation on a teaching hospital medical service.AMIA Annu Symp Proc.2006:629633.
References
  1. O'Leary KJ,Liebovitz DM,Feinglass J, et al.Creating a better discharge summary: Improvement in quality and timeliness using an electronic discharge summary.J Hosp Med.2009;4(4):219225.
  2. Kripalani S,LeFevre F,Phillips CO,Williams MV,Basaviah P,Baker DW.Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care.JAMA.2007;297(8):831841.
  3. Standard IM.6.10Hospital Accredidation Standards. In: Oakbrook Terrace,IL:Joint Commission Resources;2006:338340.
  4. MacDonald I.Medical Record Services, Section 482.24. In: MacDonald I, ed.The CMS Hospital Conditions of Participation.First edition.United States:Hc Pro Inc.;2005:2425.
  5. Fair JF.Hospital discharge and death communications.Br J Hosp Med.1989;42(1):5961.
  6. Tulloch AJ,Fowler GH,McMullan JJ,Spence JM.Hospital discharge reports: content and design.Br Med J.1975;4(5994):443446.
  7. Roy CL,Poon EG,Karson AS, et al.Patient safety concerns arising from test results that return after hospital discharge.Ann Intern Med.2005;143(2):121128.
  8. Penney TM.Delayed communication between hospitals and general practitioners: where does the problem lie?BMJ.1988;297(6640):2829.
  9. Mageean RJ.Study of “discharge communications” from hospital.Br Med J (Clin Res Ed).1986;293(6557):12831284.
  10. van Walraven C,Weinberg AL.Quality assessment of a discharge summary system.CMAJ.1995;152(9):14371442.
  11. Wilson S,Ruscoe W,Chapman M,Miller R.General practitioner‐hospital communications: a review of discharge summaries.J Qual Clin Pract.2001;21(4):104108.
  12. Carroll J.Stimulus bill spurs plans for rapid IT progress.Manag Care.2009;18(2):56.
  13. Cucina RJ,Lindsay L,Kupfernagel H, et al. UCSF Notewriter. Copyright Regents of the University of California.2006year="2010"2010.
  14. Rao P,Andrei A,Fried A,Gonzalez D,Shine D.Assessing quality and efficiency of discharge summaries.Am J Med Qual.2005;20(6):337343.
  15. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  16. van Walraven C,Duke SM,Weinberg AL,Wells PS.Standardized or narrative discharge summaries. Which do family physicians prefer?Can Fam Physician.1998;44:6269.
  17. van Walraven C,Rokosh E.What is necessary for high‐quality discharge summaries?Am J Med Qual.1999;14(4):160169.
  18. O'Leary KJ,Liebovitz DM,Feinglass J,Liss DT,Baker DW.Outpatient physicians' satisfaction with discharge summaries and perceived need for an electronic discharge summary.J Hosp Med.2006;1(5):317320.
  19. Alderton M,Callen J.Are general practitioners satisfied with electronic discharge summaries?HIM J.2007;36(1):712.
  20. van Walraven C,Laupacis A,Seth R,Wells G.Dictated versus database‐generated discharge summaries: a randomized clinical trial.CMAJ.1999;160(3):319326.
  21. Lissauer T,Paterson CM,Simons A,Beard RW.Evaluation of computer generated neonatal discharge summaries.Arch Dis Child.1991;66(4 Spec No):433436.
  22. Archbold RA,Laji K,Suliman A,Ranjadayalan K,Hemingway H,Timmis AD.Evaluation of a computer‐generated discharge summary for patients with acute coronary syndromes.Br J Gen Pract.1998;48(429):11631164.
  23. The Common Wealth Fund. Why not the best org. Available at: http/www.whynotthebest.org. Updated 2009. Accessed May2010.
  24. Greene SE,Nash DB.Pay for performance: an overview of the literature.Am J Med Qual.2009;24(2):140163.
  25. Forster AJ,Clark HD,Menard A, et al.Adverse events among medical patients after discharge from hospital.CMAJ.2004;170(3):345349.
  26. van Walraven C,Seth R,Austin PC,Laupacis A.Effect of discharge summary availability during post‐discharge visits on hospital readmission.J Gen Intern Med.2002;17(3):186192.
  27. Gandhi TK,Kachalia A,Thomas EJ, et al.Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims.Ann Intern Med.2006;145(7):488496.
  28. Coleman EA,Mahoney E,Parry C.Assessing the quality of preparation for posthospital care from the patient's perspective: the care transitions measure.Med Care.2005;43(3):246255.
  29. Jack BW,Chetty VK,Anthony D, et al.A reengineered hospital discharge program to decrease rehospitalization: a randomized trial.Ann Intern Med.2009;150(3):178187.
  30. Forster AJ,Murff HJ,Peterson JF,Gandhi TK,Bates DW.Adverse drug events occurring following hospital discharge.J Gen Intern Med.2005;20(4):317323.
  31. Ponzurick TG,France KR,Logar CM.Referring physician satisfaction: toward a better understanding of hospital referrals.J Hosp Mark.1998;12(2):95111.
  32. U.S. Department of Health 7(3):269272.
  33. Kuehn BM.IT vulnerabilities highlighted by errors, malfunctions at veterans' medical centers.JAMA.2009;301(9):919920.
  34. Siegler EL,Adelman R.Copy and paste: a remediable hazard of electronic health records.Am J Med.2009;122(6):495496.
  35. Hammond KW,Helbig ST,Benson CC,Brathwaite‐Sketoe BM.Are electronic medical records trustworthy? Observations on copying, pasting and duplication.AMIA Annu Symp Proc.2003:269273.
  36. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  37. Koppel R,Metlay JP,Cohen A, et al.Role of computerized physician order entry systems in facilitating medication errors.JAMA.2005;293(10):11971203.
  38. Payne TH,Hirschmann JV,Helbig S.The elements of electronic note style.J AHIMA.2003;74(2):68,70.
  39. Embi PJ,Yackel TR,Logan JR,Bowen JL,Cooney TG,Gorman PN.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11(4):300309.
  40. Payne TH,Perkins M,Kalus R,Reilly D.The transition to electronic documentation on a teaching hospital medical service.AMIA Annu Symp Proc.2006:629633.
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Patient Whiteboards in the Hospital Setting

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Patient whiteboards as a communication tool in the hospital setting: A survey of practices and recommendations

Communication failures are a frequent cause of adverse events14; the Joint Commission (TJC) reports that such failures contributed to 65% of reported sentinel events.5 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.613 While these strategies largely address communication between healthcare providers, there is a growing emphasis on developing strategies to engage patients in their care, and improving communication with them and their families.

In 2007, TJC announced a new National Patient Safety Goal (NPSG) that encourage(s) patients' active involvement in their own care as a patient safety strategy.14 This builds upon a landmark Institute of Medicine report that highlighted patient‐centeredness as 1 of the 6 domains for delivering high‐quality care.15 Current literature on developing such patient‐centered strategies enumerates several approaches, including better access to health information, use of innovative technology solutions, and focused efforts at improving communication.1618

The placement of whiteboards in patient rooms is an increasingly common strategy to improve communication. These boards, typically placed on a wall near a patient's hospital bed, allow any number of providers to communicate a wide range of information. Both Kaiser Permanente's Nurse Knowledge Exchange program and the Institute for Healthcare Improvement's Transforming Care at the Bedside promote whiteboard use, though with little specific guidance about practical implementation.19,20 Despite their growing prevalence, there is no published literature guiding the most effective uses of whiteboards, or describing their impact on communication, teamwork, or patient satisfaction and care. We present findings from a survey of patient whiteboard use on an academic medical service, and offer a series of recommendations based on our findings and experiences.

Methods

We anonymously surveyed bedside nurses from 3 inpatient medical units, internal medicine housestaff, and faculty from the Division of Hospital Medicine at the University of California, San Francisco (UCSF). We solicited experiences of physician and nursing leaders who were engaged in whiteboard interventions over the past 2 years to identify relevant topics for study. Their experiences were based on isolated unit‐based efforts to implement whiteboards through a variety of strategies (eg, whiteboard templates, simple identification of provider teams, goals for the day). Their input guided the survey development and the suggested recommendations. The topics identified were then translated into multiple‐choice questions, and further edited for clarity by the authors. A Likert scale was used that measured frequency of use, usefulness, and attitudes toward patient whiteboards. An open‐ended question seeking additional comments about patient whiteboards was also asked. The survey was administered to nurses at staff meetings and through physical mailboxes on their respective patient care units with a 1‐month collection period. The survey was administered to housestaff and attendings via e‐mail listserves using an online commercial survey administration tool.21 The nursing surveys were later entered into the same online survey administration tool, which ultimately provided summary reports and descriptive findings to meet the study objectives. Our project was reviewed and approved by the UCSF Committee on Human Research.

Results

Survey responses were collected from 104 nurse respondents (81% response rate), 118 internal medicine housestaff (74% response rate), and 31 hospitalists (86% response rate). Nurses were far more likely to write on whiteboards, read what was written on them, and find the related information useful (Figure 1A‐C). Nurses, housestaff, and attendings all believed the bedside nurse was the single most important provider name listed on a whiteboard. However, the respondents differed in their rated value of other providers listed on the whiteboard (Figure 2). Nurses gave higher ratings to the utility of having patient care assistants (PCAs) listed as compared to housestaff and attendings. Overall, respondents felt it would be less useful to list consultants and pharmacists than the nurse, attending, and housestaff. All of the respondents believed family contact information was the most useful information on a whiteboard, whereas more nurses rated a goal for the day and anticipated discharge date as more useful than housestaff and attendings (Figure 3).

Figure 1
Patient whiteboard practices. (A) How often do you write on a whiteboard in a patient's room? (B) How often do you read what is written on a whiteboard in a patient's room? (C) How useful do you find the information on a whiteboard in a patient's room? (A‐C) Percent responding to each option.
Figure 2
Utility of specific providers listed on a patient whiteboard. Percent who responded “very useful.”
Figure 3
Utility of specific information written on a patient whiteboard. Percent who responded “very useful.”

From an operational standpoint, the majority of respondents felt that nurses should be responsible for the information on a whiteboard, nurses and physicians together should create goals for the day, and the greatest barrier to using whiteboards was not having pens easily available (Figure 4A‐C). Most respondents also agreed that using templated whiteboards (with predefined fields) to guide content would increase their use (Figure 4D). All respondents believed that whiteboard use could improve teamwork and communication as well as patient care (Figure 5). Respondents also offered a variety of specific comments in response to an open‐ended question about whiteboard use (Table 1).

Figure 4
Operational aspects of patient whiteboard use. (A) Who should be responsible for the information on a patient whiteboard? (B) If writing a goal for the day on a whiteboard, who should create the goal? (C) What are the barriers to using a patient whiteboard? (D) Creating predesigned whiteboards with templates that clearly define the information to be written on them would increase their use. (A‐C) Percent responding to each option. (D) Percent who responded “agree” or “strongly agree.”
Figure 5
Role of whiteboard in improving patient care and teamwork. Percent who responded “agree” or “strongly agree” to “Use of whiteboard can improve.…”
Selected Respondent Comments About Whiteboard Use
From nurses If MDs were engaged in using (or reviewing the information on) whiteboards more, it might reduce the number of times we page them to clarify care plans
It might be helpful to have a dedicated section on the whiteboard where families can write questions that are separate from other information that the nurse writes on them
Part of the bedside nurse role is to be a patient advocate and the whiteboard can be a tool to assist in this important responsibility
Nothing is worse than a patient (or family member) asking me, What's the plan for the day?and being unable to do so because a goal (or scheduled procedure) hasn't been communicated to me by the MD or written on the whiteboard
I would use [whiteboards] more if they were clearly being used as a patient‐centered communication tool rather than trying to improve communication between us and the MDs.
From physicians The boards need to be kept simple for success.
There needs to be specific training to make this a cultural norm across care providers and reinforced on a regular basis. If it's a priority, there should be audits, tracking for performance (accuracy and updated info), and feedback to providers. I would also ask patients what info they would like to see, as [whiteboards] should be patient‐centered, not provider‐centered.
Having providers intermittently write on whiteboards should not be considered a substitute for communication. In fact, this would likely only further display our lack of cohesive communication to patients and families.
I have been skeptical that the goals for the day for an ill patient can be satisfactorily reduced to a statement that fits on a whiteboard and that forecasting a day of discharge well in advance is frequently wrong and may create more confusion than it alleviates. I am also concerned that if a goal for the day on a whiteboard is intended for the nurse, this is substituting for richer channels of communications, such as the nurse reading the progress notes, speaking with the physicians, or communicating through the charge nurse who attends our case management rounds.
Whiteboards are frequently not accurate, underused, and they require patients to have visual acuity, cognition, and speak Englishall challenges depending on your patient population.

Discussion

Our findings demonstrate the potential value of patient whiteboards, which is supported by the vast majority of respondents, who agreed their use may improve patient care and teamwork. It is also clear that whiteboard use is not achieving this potential or being used as a patient‐centered tool. This is best illustrated by findings of their low rate of use and completion among attendings and housestaff (Figure 1A, B) and the lack of consensus as to what information on the whiteboards is useful. Patient whiteboards require defined goals, thoughtful planning, regular monitoring, and ongoing evaluation. The challenges around effective adoption and implementation is perhaps more about ensuring compliance and completion rather than simply gaining buy‐in and engagement for their value.

While the differential use of whiteboards between nurses and physicians was not surprising, a few specific findings warrant further discussion. First, it is interesting that nurses rated their own names and that of PCAs as the most useful, while physicians rated the nurse's name as being of equal value to their own. This may speak to the role PCAs play for nurses in helping the latter provide bedside care, rather than a reflection of the nurses' perception of the value of PCAs for patients. Second, while all respondents rated highly the value of family contact information on the whiteboard, nurses valued a goal for the day and anticipated discharge date more highly than did physicians. These findings likely reflect that nurses desire an understanding about plans of care and if they are not communicated face‐to‐face as the most effective strategy,22 they should at least be spelled out clearly on a whiteboard. This is supported by evidence that better collaboration between nurses and physicians improves patient outcomes.23 It may also be that physicians place more value on their own progress notes (rather than whiteboards) as a vehicle for communicating daily goals and discharge planning.

Other practical considerations involve who owns it and, if we do create goals for the day, whose goals should they represent? The majority of nurse and physician responses advocated for nurses to be responsible for accurate and complete information being updated on whiteboards. A larger percentage of attendings favored shared responsibility of the whiteboard, which was reinforced by their support of having goals for the day created jointly by nurses and physicians. Interestingly, a much smaller percentage of respondents felt goals for the day should be driven by patients (or family members). These data may point to the different perspectives that each individual provider bringsphysician, nurse, pharmacist, discharge plannerwith their respective goals differing in nature. Finally, it is also interesting that while attendings and housestaff believed that whiteboards can improve patient care teamwork/communication (Figure 5), a much smaller percentage actually read what is on them (Figure 1B). This may reflect the unclear goals of whiteboards, its absence as part of daily workflow, the infrequency of updated information on them, or perhaps an institution‐specific phenomenon that we will use to drive further improvement strategies.

Selected respondent comments (Table 1) highlight important messages about whiteboard use and provide helpful context to the survey responses. We found that the goal of whiteboard use is not always clear; is it to improve communication among providers, to improve communication with patients, a tool to engage patients in their care, or some combination of the above? Without a clear goal, providers are left to wonder whether whiteboard use is simply another task or really an intervention to improve care. This may in part, or perhaps fully, explain the differences discovered in whiteboard use and practices among our surveyed providers.

If, however, one were to make clear that the goal of patient whiteboards is to engage patients in their care and help achieve an important NPSG, methods to implement their use become better guided. A limitation of our study is that we did not survey patients about their perceptions of whiteboards use, an important needs assessment that would further drive this patient‐centered intervention. Regardless, we can draw a number of lessons from our findings and devise a set of reasonable recommendations.

Recommendations

We provide the following set of recommendations for hospitals adopting patient whiteboards, drawing on our survey findings and experiences with implementation at our own institution. We also acknowledge the role that local hospital cultures may play in adopting whiteboard use, and our recommendations are simply guidelines that can be applied or used in planning efforts. We believe effective use of a patient whiteboard requires a patient‐centered approach and the following:

  • Whiteboards should be placed in clear view of patients from their hospital bed

    A simple yet critical issue as placing a whiteboard behind a patient's bed or off to the side fails to provide them with a constant visual cue to engage in the information.

  • Buy and fasten erasable pens to the whiteboards themselves

    In our institution, purchasing pens for each provider was a less effective strategy than simply affixing the pen to the whiteboard itself. A supply of erasable pens must be available at the nursing station to quickly replace those with fading ink.

  • Create whiteboard templates

    Our findings and experience suggest that structured formats for whiteboards may be more effective in ensuring both important and accurate information gets included. Blank whiteboards lead to less standardization in practice and fail to create prompts for providers to both write and review the content available. Anecdotally, we created a number of whiteboards with templated information, and this did seem to increase the consistency, standardization, and ease of use.

  • Whiteboard templates should include the following items:

    • Day and Date

      This serves to orient patients (and their families) as well as providers with the date of information written on the whiteboard. It is also an important mechanism to ensure information is updated daily.

    • Patient's name (or initials)

      With bed turnover (or patient transfers to different beds and units) commonplace in hospital care, we believe that listing the patient's name on the board prevents the potential for patients (and their families) or providers to mistakenly take information from a previous patient's care on the whiteboard for their own.

    • Bedside nurse

      This was noted as the most useful provider listed on a patient whiteboard, which is quite logical given the role bedside nurses play for hospitalized patients.

    • Primary physician(s) (attending, resident, and intern, if applicable)

      This was noted as the next most important provider(s) and perhaps increasingly important both in teaching and nonteaching settings where shift‐work and signouts are growing in frequency among physicians.

    • Goal for the day

      While this was not a consensus from our survey respondents, we believe patients (rather than providers) should ultimately guide determination of their goal for the day as this engages them directly with the planachieving a patient‐centered initiative. In our experience, an effective strategy was having the bedside nurse directly engage patients each morning to help place a goal for the day on their whiteboard.

    • Anticipated discharge date

      While understanding the potential for this date to change, we believe the benefits of having patients (and their families) thinking about discharge, rather than feeling surprised by it on the morning of discharge, serves as an important mechanism to bridge communication about the discharge process.24

    • Family member's contact information (phone number)

    • Questions for providers

      This last entry allows a space for families to engage the healthcare team and, once again, create an opportunity for clarification of treatment and discharge plans.

    • Bedside nurses should facilitate writing and updating information on the whiteboard

      Without our survey findings, this might have generated debate or controversy over whether nurses should be burdened with one more task to their responsibilities. However, our nurse respondents embraced this responsibility with spontaneous comments about their patient advocate role, and stated that whiteboards can serve as a tool to assist in that responsibility. Furthermore, not a single nurse respondent stated as barrier to use that I didn't think it was my responsibility. Nonetheless, whiteboard use must be a shared communication tool and not simply a tool between nurse and patient. Practically, we would recommend that bedside nurses facilitate updating whiteboards each morning, at a time when they are already helping patients create a goal for the day. Other providers must be trained to review information on the whiteboard, engage patients about their specific goal, and share the responsibility of keeping the information on the whiteboard updated.

    • Create a system for auditing utilization and providing feedback early during rollout

      We found that adoption was very slow at the outset. One strategy to consider is having designated auditors check whiteboards in each room, measuring weekly compliance and providing this feedback to nurse managers. This auditing process may help identify barriers that can be addressed quickly (eg, unavailability of pens).

    Finally, it is important to comment on the confidentiality concerns often raised in the context of whiteboard use. Confidentiality concerns largely arise from personal health information being used without a patient's explicit consent. If our recommendations are adopted, they require whiteboard use to be a patient‐centered and patient‐driven initiative. The type of information on the whiteboard should be determined with sensitivity but also with consent of the patient. We have not experienced any concerns by patients or providers in this regard because patients are told about the goals of the whiteboard initiative with our above principles in mind.

    Conclusions

    Patient whiteboards may improve communication among members of the healthcare team (eg, nurses, physicians, and others) and between providers and their patients (and family members). Further investigation is warranted to determine if adopting our recommendations leads to improved communication, teamwork, or patient satisfaction and care. In the meantime, as many hospitals continue to install and implement whiteboards, we hope our recommendations, accompanied by an emphasis on creating a patient‐centered communication tool, offer a roadmap for considering best practices in their use.

    Acknowledgements

    This study of patient whiteboards developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. The authors thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

    References
    1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
    2. Gawande AA,Zinner MJ,Studdert DM,Brennan TA.Analysis of errors reported by surgeons at three teaching hospitals.Surgery.2003;133(6):614621.
    3. Greenberg CC,Regenbogen SE,Studdert DM, et al.Patterns of communication breakdowns resulting in injury to surgical patients.J Am Coll Surg.2007;204(4):533540.
    4. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
    5. The Joint Commission: Sentinel Event Statistics, March 31,2009. Available at: http://www.jointcommission.org/SentinelEvents/Statistics. Accessed October 2009.
    6. Awad SS,Fagan SP,Bellows C, et al.Bridging the communication gap in the operating room with medical team training.Am J Surg.2005;190(5):770774.
    7. Morey JC,Simon R,Jay GD, et al.Error reduction and performance improvement in the emergency department through formal teamwork training: evaluation results of the MedTeams project.Health Serv Res.2002;37(6):15531581.
    8. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
    9. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
    10. Barrett J,Gifford C,Morey J,Risser D,Salisbury M.Enhancing patient safety through teamwork training.J Healthc Risk Manag.2001;21(4):5765.
    11. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13(suppl 1):i85i90.
    12. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
    13. Sehgal NL,Fox M,Vidyarthi AR, et al.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) experience.J Gen Intern Med.2008;23(12):20532057.
    14. The Joint Commission's National Patient Safety Goals 2007 for Hospital/Critical Access Hospital. Available at:http://www.jointcommission.org/PatientSafety/NationalPatientSafetyGoals/07_hap_cah_npsgs.htm. Accessed October 2009.
    15. Institute of Medicine (U.S.). Committee on Quality of Health Care in America.Crossing the Quality Chasm: A New Health System for the 21st Century.Washington, DC:National Academy Press;2001.
    16. Bergeson SC,Dean JD.A systems approach to patient‐centered care.JAMA.2006;296(23):28482851.
    17. Wasson JH,Godfrey MM,Nelson ED,Mohr JJ,Batalden PB.Microsystems in health care: Part 4. Planning patient‐centered care.Jt Comm J Qual Saf.2003;29(5):227237.
    18. Gerteis M, Edgman‐Levitan S, Daley J, Delbanco TL, eds.Through the Patient's Eyes: Understanding and Promoting Patient‐Centered Care.San Francisco, CA:Jossey‐Bass;1993.
    19. Rutherford P,Lee B,Greiner A.Transforming Care at the Bedside. IHI Innovation Series white paper. Boston, MA: Institute for Healthcare Improvement;2004. Available at: http://www.ihi.org. Accessed October 2009.
    20. Fahey L.Schilling L.Nurse Knowledge Exchange: Patient Hand Offs. American Academy of Ambulatory Care Nursing (AAACN) Viewpoint. Sep/Oct 2007. Available at: http://findarticles.com/p/articles/mi_qa4022/is_200709/ai_n21137476. Accessed October 2009.
    21. Survey Console. Available at: http://www.surveyconsole.com. Accessed October 2009.
    22. How do we communicate?Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed October 2009.
    23. Baggs JG,Schmitt MH,Mushlin AI, et al.Association between nurse‐physician collaboration and patient outcomes in three intensive care units.Crit Care Med.1999;27(9):19911998.
    24. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
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    Communication failures are a frequent cause of adverse events14; the Joint Commission (TJC) reports that such failures contributed to 65% of reported sentinel events.5 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.613 While these strategies largely address communication between healthcare providers, there is a growing emphasis on developing strategies to engage patients in their care, and improving communication with them and their families.

    In 2007, TJC announced a new National Patient Safety Goal (NPSG) that encourage(s) patients' active involvement in their own care as a patient safety strategy.14 This builds upon a landmark Institute of Medicine report that highlighted patient‐centeredness as 1 of the 6 domains for delivering high‐quality care.15 Current literature on developing such patient‐centered strategies enumerates several approaches, including better access to health information, use of innovative technology solutions, and focused efforts at improving communication.1618

    The placement of whiteboards in patient rooms is an increasingly common strategy to improve communication. These boards, typically placed on a wall near a patient's hospital bed, allow any number of providers to communicate a wide range of information. Both Kaiser Permanente's Nurse Knowledge Exchange program and the Institute for Healthcare Improvement's Transforming Care at the Bedside promote whiteboard use, though with little specific guidance about practical implementation.19,20 Despite their growing prevalence, there is no published literature guiding the most effective uses of whiteboards, or describing their impact on communication, teamwork, or patient satisfaction and care. We present findings from a survey of patient whiteboard use on an academic medical service, and offer a series of recommendations based on our findings and experiences.

    Methods

    We anonymously surveyed bedside nurses from 3 inpatient medical units, internal medicine housestaff, and faculty from the Division of Hospital Medicine at the University of California, San Francisco (UCSF). We solicited experiences of physician and nursing leaders who were engaged in whiteboard interventions over the past 2 years to identify relevant topics for study. Their experiences were based on isolated unit‐based efforts to implement whiteboards through a variety of strategies (eg, whiteboard templates, simple identification of provider teams, goals for the day). Their input guided the survey development and the suggested recommendations. The topics identified were then translated into multiple‐choice questions, and further edited for clarity by the authors. A Likert scale was used that measured frequency of use, usefulness, and attitudes toward patient whiteboards. An open‐ended question seeking additional comments about patient whiteboards was also asked. The survey was administered to nurses at staff meetings and through physical mailboxes on their respective patient care units with a 1‐month collection period. The survey was administered to housestaff and attendings via e‐mail listserves using an online commercial survey administration tool.21 The nursing surveys were later entered into the same online survey administration tool, which ultimately provided summary reports and descriptive findings to meet the study objectives. Our project was reviewed and approved by the UCSF Committee on Human Research.

    Results

    Survey responses were collected from 104 nurse respondents (81% response rate), 118 internal medicine housestaff (74% response rate), and 31 hospitalists (86% response rate). Nurses were far more likely to write on whiteboards, read what was written on them, and find the related information useful (Figure 1A‐C). Nurses, housestaff, and attendings all believed the bedside nurse was the single most important provider name listed on a whiteboard. However, the respondents differed in their rated value of other providers listed on the whiteboard (Figure 2). Nurses gave higher ratings to the utility of having patient care assistants (PCAs) listed as compared to housestaff and attendings. Overall, respondents felt it would be less useful to list consultants and pharmacists than the nurse, attending, and housestaff. All of the respondents believed family contact information was the most useful information on a whiteboard, whereas more nurses rated a goal for the day and anticipated discharge date as more useful than housestaff and attendings (Figure 3).

    Figure 1
    Patient whiteboard practices. (A) How often do you write on a whiteboard in a patient's room? (B) How often do you read what is written on a whiteboard in a patient's room? (C) How useful do you find the information on a whiteboard in a patient's room? (A‐C) Percent responding to each option.
    Figure 2
    Utility of specific providers listed on a patient whiteboard. Percent who responded “very useful.”
    Figure 3
    Utility of specific information written on a patient whiteboard. Percent who responded “very useful.”

    From an operational standpoint, the majority of respondents felt that nurses should be responsible for the information on a whiteboard, nurses and physicians together should create goals for the day, and the greatest barrier to using whiteboards was not having pens easily available (Figure 4A‐C). Most respondents also agreed that using templated whiteboards (with predefined fields) to guide content would increase their use (Figure 4D). All respondents believed that whiteboard use could improve teamwork and communication as well as patient care (Figure 5). Respondents also offered a variety of specific comments in response to an open‐ended question about whiteboard use (Table 1).

    Figure 4
    Operational aspects of patient whiteboard use. (A) Who should be responsible for the information on a patient whiteboard? (B) If writing a goal for the day on a whiteboard, who should create the goal? (C) What are the barriers to using a patient whiteboard? (D) Creating predesigned whiteboards with templates that clearly define the information to be written on them would increase their use. (A‐C) Percent responding to each option. (D) Percent who responded “agree” or “strongly agree.”
    Figure 5
    Role of whiteboard in improving patient care and teamwork. Percent who responded “agree” or “strongly agree” to “Use of whiteboard can improve.…”
    Selected Respondent Comments About Whiteboard Use
    From nurses If MDs were engaged in using (or reviewing the information on) whiteboards more, it might reduce the number of times we page them to clarify care plans
    It might be helpful to have a dedicated section on the whiteboard where families can write questions that are separate from other information that the nurse writes on them
    Part of the bedside nurse role is to be a patient advocate and the whiteboard can be a tool to assist in this important responsibility
    Nothing is worse than a patient (or family member) asking me, What's the plan for the day?and being unable to do so because a goal (or scheduled procedure) hasn't been communicated to me by the MD or written on the whiteboard
    I would use [whiteboards] more if they were clearly being used as a patient‐centered communication tool rather than trying to improve communication between us and the MDs.
    From physicians The boards need to be kept simple for success.
    There needs to be specific training to make this a cultural norm across care providers and reinforced on a regular basis. If it's a priority, there should be audits, tracking for performance (accuracy and updated info), and feedback to providers. I would also ask patients what info they would like to see, as [whiteboards] should be patient‐centered, not provider‐centered.
    Having providers intermittently write on whiteboards should not be considered a substitute for communication. In fact, this would likely only further display our lack of cohesive communication to patients and families.
    I have been skeptical that the goals for the day for an ill patient can be satisfactorily reduced to a statement that fits on a whiteboard and that forecasting a day of discharge well in advance is frequently wrong and may create more confusion than it alleviates. I am also concerned that if a goal for the day on a whiteboard is intended for the nurse, this is substituting for richer channels of communications, such as the nurse reading the progress notes, speaking with the physicians, or communicating through the charge nurse who attends our case management rounds.
    Whiteboards are frequently not accurate, underused, and they require patients to have visual acuity, cognition, and speak Englishall challenges depending on your patient population.

    Discussion

    Our findings demonstrate the potential value of patient whiteboards, which is supported by the vast majority of respondents, who agreed their use may improve patient care and teamwork. It is also clear that whiteboard use is not achieving this potential or being used as a patient‐centered tool. This is best illustrated by findings of their low rate of use and completion among attendings and housestaff (Figure 1A, B) and the lack of consensus as to what information on the whiteboards is useful. Patient whiteboards require defined goals, thoughtful planning, regular monitoring, and ongoing evaluation. The challenges around effective adoption and implementation is perhaps more about ensuring compliance and completion rather than simply gaining buy‐in and engagement for their value.

    While the differential use of whiteboards between nurses and physicians was not surprising, a few specific findings warrant further discussion. First, it is interesting that nurses rated their own names and that of PCAs as the most useful, while physicians rated the nurse's name as being of equal value to their own. This may speak to the role PCAs play for nurses in helping the latter provide bedside care, rather than a reflection of the nurses' perception of the value of PCAs for patients. Second, while all respondents rated highly the value of family contact information on the whiteboard, nurses valued a goal for the day and anticipated discharge date more highly than did physicians. These findings likely reflect that nurses desire an understanding about plans of care and if they are not communicated face‐to‐face as the most effective strategy,22 they should at least be spelled out clearly on a whiteboard. This is supported by evidence that better collaboration between nurses and physicians improves patient outcomes.23 It may also be that physicians place more value on their own progress notes (rather than whiteboards) as a vehicle for communicating daily goals and discharge planning.

    Other practical considerations involve who owns it and, if we do create goals for the day, whose goals should they represent? The majority of nurse and physician responses advocated for nurses to be responsible for accurate and complete information being updated on whiteboards. A larger percentage of attendings favored shared responsibility of the whiteboard, which was reinforced by their support of having goals for the day created jointly by nurses and physicians. Interestingly, a much smaller percentage of respondents felt goals for the day should be driven by patients (or family members). These data may point to the different perspectives that each individual provider bringsphysician, nurse, pharmacist, discharge plannerwith their respective goals differing in nature. Finally, it is also interesting that while attendings and housestaff believed that whiteboards can improve patient care teamwork/communication (Figure 5), a much smaller percentage actually read what is on them (Figure 1B). This may reflect the unclear goals of whiteboards, its absence as part of daily workflow, the infrequency of updated information on them, or perhaps an institution‐specific phenomenon that we will use to drive further improvement strategies.

    Selected respondent comments (Table 1) highlight important messages about whiteboard use and provide helpful context to the survey responses. We found that the goal of whiteboard use is not always clear; is it to improve communication among providers, to improve communication with patients, a tool to engage patients in their care, or some combination of the above? Without a clear goal, providers are left to wonder whether whiteboard use is simply another task or really an intervention to improve care. This may in part, or perhaps fully, explain the differences discovered in whiteboard use and practices among our surveyed providers.

    If, however, one were to make clear that the goal of patient whiteboards is to engage patients in their care and help achieve an important NPSG, methods to implement their use become better guided. A limitation of our study is that we did not survey patients about their perceptions of whiteboards use, an important needs assessment that would further drive this patient‐centered intervention. Regardless, we can draw a number of lessons from our findings and devise a set of reasonable recommendations.

    Recommendations

    We provide the following set of recommendations for hospitals adopting patient whiteboards, drawing on our survey findings and experiences with implementation at our own institution. We also acknowledge the role that local hospital cultures may play in adopting whiteboard use, and our recommendations are simply guidelines that can be applied or used in planning efforts. We believe effective use of a patient whiteboard requires a patient‐centered approach and the following:

    • Whiteboards should be placed in clear view of patients from their hospital bed

      A simple yet critical issue as placing a whiteboard behind a patient's bed or off to the side fails to provide them with a constant visual cue to engage in the information.

    • Buy and fasten erasable pens to the whiteboards themselves

      In our institution, purchasing pens for each provider was a less effective strategy than simply affixing the pen to the whiteboard itself. A supply of erasable pens must be available at the nursing station to quickly replace those with fading ink.

    • Create whiteboard templates

      Our findings and experience suggest that structured formats for whiteboards may be more effective in ensuring both important and accurate information gets included. Blank whiteboards lead to less standardization in practice and fail to create prompts for providers to both write and review the content available. Anecdotally, we created a number of whiteboards with templated information, and this did seem to increase the consistency, standardization, and ease of use.

    • Whiteboard templates should include the following items:

      • Day and Date

        This serves to orient patients (and their families) as well as providers with the date of information written on the whiteboard. It is also an important mechanism to ensure information is updated daily.

      • Patient's name (or initials)

        With bed turnover (or patient transfers to different beds and units) commonplace in hospital care, we believe that listing the patient's name on the board prevents the potential for patients (and their families) or providers to mistakenly take information from a previous patient's care on the whiteboard for their own.

      • Bedside nurse

        This was noted as the most useful provider listed on a patient whiteboard, which is quite logical given the role bedside nurses play for hospitalized patients.

      • Primary physician(s) (attending, resident, and intern, if applicable)

        This was noted as the next most important provider(s) and perhaps increasingly important both in teaching and nonteaching settings where shift‐work and signouts are growing in frequency among physicians.

      • Goal for the day

        While this was not a consensus from our survey respondents, we believe patients (rather than providers) should ultimately guide determination of their goal for the day as this engages them directly with the planachieving a patient‐centered initiative. In our experience, an effective strategy was having the bedside nurse directly engage patients each morning to help place a goal for the day on their whiteboard.

      • Anticipated discharge date

        While understanding the potential for this date to change, we believe the benefits of having patients (and their families) thinking about discharge, rather than feeling surprised by it on the morning of discharge, serves as an important mechanism to bridge communication about the discharge process.24

      • Family member's contact information (phone number)

      • Questions for providers

        This last entry allows a space for families to engage the healthcare team and, once again, create an opportunity for clarification of treatment and discharge plans.

      • Bedside nurses should facilitate writing and updating information on the whiteboard

        Without our survey findings, this might have generated debate or controversy over whether nurses should be burdened with one more task to their responsibilities. However, our nurse respondents embraced this responsibility with spontaneous comments about their patient advocate role, and stated that whiteboards can serve as a tool to assist in that responsibility. Furthermore, not a single nurse respondent stated as barrier to use that I didn't think it was my responsibility. Nonetheless, whiteboard use must be a shared communication tool and not simply a tool between nurse and patient. Practically, we would recommend that bedside nurses facilitate updating whiteboards each morning, at a time when they are already helping patients create a goal for the day. Other providers must be trained to review information on the whiteboard, engage patients about their specific goal, and share the responsibility of keeping the information on the whiteboard updated.

      • Create a system for auditing utilization and providing feedback early during rollout

        We found that adoption was very slow at the outset. One strategy to consider is having designated auditors check whiteboards in each room, measuring weekly compliance and providing this feedback to nurse managers. This auditing process may help identify barriers that can be addressed quickly (eg, unavailability of pens).

      Finally, it is important to comment on the confidentiality concerns often raised in the context of whiteboard use. Confidentiality concerns largely arise from personal health information being used without a patient's explicit consent. If our recommendations are adopted, they require whiteboard use to be a patient‐centered and patient‐driven initiative. The type of information on the whiteboard should be determined with sensitivity but also with consent of the patient. We have not experienced any concerns by patients or providers in this regard because patients are told about the goals of the whiteboard initiative with our above principles in mind.

      Conclusions

      Patient whiteboards may improve communication among members of the healthcare team (eg, nurses, physicians, and others) and between providers and their patients (and family members). Further investigation is warranted to determine if adopting our recommendations leads to improved communication, teamwork, or patient satisfaction and care. In the meantime, as many hospitals continue to install and implement whiteboards, we hope our recommendations, accompanied by an emphasis on creating a patient‐centered communication tool, offer a roadmap for considering best practices in their use.

      Acknowledgements

      This study of patient whiteboards developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. The authors thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

      Communication failures are a frequent cause of adverse events14; the Joint Commission (TJC) reports that such failures contributed to 65% of reported sentinel events.5 Strategies to improve communication have focused on implementing formal teamwork training programs and/or teaching specific communication skills.613 While these strategies largely address communication between healthcare providers, there is a growing emphasis on developing strategies to engage patients in their care, and improving communication with them and their families.

      In 2007, TJC announced a new National Patient Safety Goal (NPSG) that encourage(s) patients' active involvement in their own care as a patient safety strategy.14 This builds upon a landmark Institute of Medicine report that highlighted patient‐centeredness as 1 of the 6 domains for delivering high‐quality care.15 Current literature on developing such patient‐centered strategies enumerates several approaches, including better access to health information, use of innovative technology solutions, and focused efforts at improving communication.1618

      The placement of whiteboards in patient rooms is an increasingly common strategy to improve communication. These boards, typically placed on a wall near a patient's hospital bed, allow any number of providers to communicate a wide range of information. Both Kaiser Permanente's Nurse Knowledge Exchange program and the Institute for Healthcare Improvement's Transforming Care at the Bedside promote whiteboard use, though with little specific guidance about practical implementation.19,20 Despite their growing prevalence, there is no published literature guiding the most effective uses of whiteboards, or describing their impact on communication, teamwork, or patient satisfaction and care. We present findings from a survey of patient whiteboard use on an academic medical service, and offer a series of recommendations based on our findings and experiences.

      Methods

      We anonymously surveyed bedside nurses from 3 inpatient medical units, internal medicine housestaff, and faculty from the Division of Hospital Medicine at the University of California, San Francisco (UCSF). We solicited experiences of physician and nursing leaders who were engaged in whiteboard interventions over the past 2 years to identify relevant topics for study. Their experiences were based on isolated unit‐based efforts to implement whiteboards through a variety of strategies (eg, whiteboard templates, simple identification of provider teams, goals for the day). Their input guided the survey development and the suggested recommendations. The topics identified were then translated into multiple‐choice questions, and further edited for clarity by the authors. A Likert scale was used that measured frequency of use, usefulness, and attitudes toward patient whiteboards. An open‐ended question seeking additional comments about patient whiteboards was also asked. The survey was administered to nurses at staff meetings and through physical mailboxes on their respective patient care units with a 1‐month collection period. The survey was administered to housestaff and attendings via e‐mail listserves using an online commercial survey administration tool.21 The nursing surveys were later entered into the same online survey administration tool, which ultimately provided summary reports and descriptive findings to meet the study objectives. Our project was reviewed and approved by the UCSF Committee on Human Research.

      Results

      Survey responses were collected from 104 nurse respondents (81% response rate), 118 internal medicine housestaff (74% response rate), and 31 hospitalists (86% response rate). Nurses were far more likely to write on whiteboards, read what was written on them, and find the related information useful (Figure 1A‐C). Nurses, housestaff, and attendings all believed the bedside nurse was the single most important provider name listed on a whiteboard. However, the respondents differed in their rated value of other providers listed on the whiteboard (Figure 2). Nurses gave higher ratings to the utility of having patient care assistants (PCAs) listed as compared to housestaff and attendings. Overall, respondents felt it would be less useful to list consultants and pharmacists than the nurse, attending, and housestaff. All of the respondents believed family contact information was the most useful information on a whiteboard, whereas more nurses rated a goal for the day and anticipated discharge date as more useful than housestaff and attendings (Figure 3).

      Figure 1
      Patient whiteboard practices. (A) How often do you write on a whiteboard in a patient's room? (B) How often do you read what is written on a whiteboard in a patient's room? (C) How useful do you find the information on a whiteboard in a patient's room? (A‐C) Percent responding to each option.
      Figure 2
      Utility of specific providers listed on a patient whiteboard. Percent who responded “very useful.”
      Figure 3
      Utility of specific information written on a patient whiteboard. Percent who responded “very useful.”

      From an operational standpoint, the majority of respondents felt that nurses should be responsible for the information on a whiteboard, nurses and physicians together should create goals for the day, and the greatest barrier to using whiteboards was not having pens easily available (Figure 4A‐C). Most respondents also agreed that using templated whiteboards (with predefined fields) to guide content would increase their use (Figure 4D). All respondents believed that whiteboard use could improve teamwork and communication as well as patient care (Figure 5). Respondents also offered a variety of specific comments in response to an open‐ended question about whiteboard use (Table 1).

      Figure 4
      Operational aspects of patient whiteboard use. (A) Who should be responsible for the information on a patient whiteboard? (B) If writing a goal for the day on a whiteboard, who should create the goal? (C) What are the barriers to using a patient whiteboard? (D) Creating predesigned whiteboards with templates that clearly define the information to be written on them would increase their use. (A‐C) Percent responding to each option. (D) Percent who responded “agree” or “strongly agree.”
      Figure 5
      Role of whiteboard in improving patient care and teamwork. Percent who responded “agree” or “strongly agree” to “Use of whiteboard can improve.…”
      Selected Respondent Comments About Whiteboard Use
      From nurses If MDs were engaged in using (or reviewing the information on) whiteboards more, it might reduce the number of times we page them to clarify care plans
      It might be helpful to have a dedicated section on the whiteboard where families can write questions that are separate from other information that the nurse writes on them
      Part of the bedside nurse role is to be a patient advocate and the whiteboard can be a tool to assist in this important responsibility
      Nothing is worse than a patient (or family member) asking me, What's the plan for the day?and being unable to do so because a goal (or scheduled procedure) hasn't been communicated to me by the MD or written on the whiteboard
      I would use [whiteboards] more if they were clearly being used as a patient‐centered communication tool rather than trying to improve communication between us and the MDs.
      From physicians The boards need to be kept simple for success.
      There needs to be specific training to make this a cultural norm across care providers and reinforced on a regular basis. If it's a priority, there should be audits, tracking for performance (accuracy and updated info), and feedback to providers. I would also ask patients what info they would like to see, as [whiteboards] should be patient‐centered, not provider‐centered.
      Having providers intermittently write on whiteboards should not be considered a substitute for communication. In fact, this would likely only further display our lack of cohesive communication to patients and families.
      I have been skeptical that the goals for the day for an ill patient can be satisfactorily reduced to a statement that fits on a whiteboard and that forecasting a day of discharge well in advance is frequently wrong and may create more confusion than it alleviates. I am also concerned that if a goal for the day on a whiteboard is intended for the nurse, this is substituting for richer channels of communications, such as the nurse reading the progress notes, speaking with the physicians, or communicating through the charge nurse who attends our case management rounds.
      Whiteboards are frequently not accurate, underused, and they require patients to have visual acuity, cognition, and speak Englishall challenges depending on your patient population.

      Discussion

      Our findings demonstrate the potential value of patient whiteboards, which is supported by the vast majority of respondents, who agreed their use may improve patient care and teamwork. It is also clear that whiteboard use is not achieving this potential or being used as a patient‐centered tool. This is best illustrated by findings of their low rate of use and completion among attendings and housestaff (Figure 1A, B) and the lack of consensus as to what information on the whiteboards is useful. Patient whiteboards require defined goals, thoughtful planning, regular monitoring, and ongoing evaluation. The challenges around effective adoption and implementation is perhaps more about ensuring compliance and completion rather than simply gaining buy‐in and engagement for their value.

      While the differential use of whiteboards between nurses and physicians was not surprising, a few specific findings warrant further discussion. First, it is interesting that nurses rated their own names and that of PCAs as the most useful, while physicians rated the nurse's name as being of equal value to their own. This may speak to the role PCAs play for nurses in helping the latter provide bedside care, rather than a reflection of the nurses' perception of the value of PCAs for patients. Second, while all respondents rated highly the value of family contact information on the whiteboard, nurses valued a goal for the day and anticipated discharge date more highly than did physicians. These findings likely reflect that nurses desire an understanding about plans of care and if they are not communicated face‐to‐face as the most effective strategy,22 they should at least be spelled out clearly on a whiteboard. This is supported by evidence that better collaboration between nurses and physicians improves patient outcomes.23 It may also be that physicians place more value on their own progress notes (rather than whiteboards) as a vehicle for communicating daily goals and discharge planning.

      Other practical considerations involve who owns it and, if we do create goals for the day, whose goals should they represent? The majority of nurse and physician responses advocated for nurses to be responsible for accurate and complete information being updated on whiteboards. A larger percentage of attendings favored shared responsibility of the whiteboard, which was reinforced by their support of having goals for the day created jointly by nurses and physicians. Interestingly, a much smaller percentage of respondents felt goals for the day should be driven by patients (or family members). These data may point to the different perspectives that each individual provider bringsphysician, nurse, pharmacist, discharge plannerwith their respective goals differing in nature. Finally, it is also interesting that while attendings and housestaff believed that whiteboards can improve patient care teamwork/communication (Figure 5), a much smaller percentage actually read what is on them (Figure 1B). This may reflect the unclear goals of whiteboards, its absence as part of daily workflow, the infrequency of updated information on them, or perhaps an institution‐specific phenomenon that we will use to drive further improvement strategies.

      Selected respondent comments (Table 1) highlight important messages about whiteboard use and provide helpful context to the survey responses. We found that the goal of whiteboard use is not always clear; is it to improve communication among providers, to improve communication with patients, a tool to engage patients in their care, or some combination of the above? Without a clear goal, providers are left to wonder whether whiteboard use is simply another task or really an intervention to improve care. This may in part, or perhaps fully, explain the differences discovered in whiteboard use and practices among our surveyed providers.

      If, however, one were to make clear that the goal of patient whiteboards is to engage patients in their care and help achieve an important NPSG, methods to implement their use become better guided. A limitation of our study is that we did not survey patients about their perceptions of whiteboards use, an important needs assessment that would further drive this patient‐centered intervention. Regardless, we can draw a number of lessons from our findings and devise a set of reasonable recommendations.

      Recommendations

      We provide the following set of recommendations for hospitals adopting patient whiteboards, drawing on our survey findings and experiences with implementation at our own institution. We also acknowledge the role that local hospital cultures may play in adopting whiteboard use, and our recommendations are simply guidelines that can be applied or used in planning efforts. We believe effective use of a patient whiteboard requires a patient‐centered approach and the following:

      • Whiteboards should be placed in clear view of patients from their hospital bed

        A simple yet critical issue as placing a whiteboard behind a patient's bed or off to the side fails to provide them with a constant visual cue to engage in the information.

      • Buy and fasten erasable pens to the whiteboards themselves

        In our institution, purchasing pens for each provider was a less effective strategy than simply affixing the pen to the whiteboard itself. A supply of erasable pens must be available at the nursing station to quickly replace those with fading ink.

      • Create whiteboard templates

        Our findings and experience suggest that structured formats for whiteboards may be more effective in ensuring both important and accurate information gets included. Blank whiteboards lead to less standardization in practice and fail to create prompts for providers to both write and review the content available. Anecdotally, we created a number of whiteboards with templated information, and this did seem to increase the consistency, standardization, and ease of use.

      • Whiteboard templates should include the following items:

        • Day and Date

          This serves to orient patients (and their families) as well as providers with the date of information written on the whiteboard. It is also an important mechanism to ensure information is updated daily.

        • Patient's name (or initials)

          With bed turnover (or patient transfers to different beds and units) commonplace in hospital care, we believe that listing the patient's name on the board prevents the potential for patients (and their families) or providers to mistakenly take information from a previous patient's care on the whiteboard for their own.

        • Bedside nurse

          This was noted as the most useful provider listed on a patient whiteboard, which is quite logical given the role bedside nurses play for hospitalized patients.

        • Primary physician(s) (attending, resident, and intern, if applicable)

          This was noted as the next most important provider(s) and perhaps increasingly important both in teaching and nonteaching settings where shift‐work and signouts are growing in frequency among physicians.

        • Goal for the day

          While this was not a consensus from our survey respondents, we believe patients (rather than providers) should ultimately guide determination of their goal for the day as this engages them directly with the planachieving a patient‐centered initiative. In our experience, an effective strategy was having the bedside nurse directly engage patients each morning to help place a goal for the day on their whiteboard.

        • Anticipated discharge date

          While understanding the potential for this date to change, we believe the benefits of having patients (and their families) thinking about discharge, rather than feeling surprised by it on the morning of discharge, serves as an important mechanism to bridge communication about the discharge process.24

        • Family member's contact information (phone number)

        • Questions for providers

          This last entry allows a space for families to engage the healthcare team and, once again, create an opportunity for clarification of treatment and discharge plans.

        • Bedside nurses should facilitate writing and updating information on the whiteboard

          Without our survey findings, this might have generated debate or controversy over whether nurses should be burdened with one more task to their responsibilities. However, our nurse respondents embraced this responsibility with spontaneous comments about their patient advocate role, and stated that whiteboards can serve as a tool to assist in that responsibility. Furthermore, not a single nurse respondent stated as barrier to use that I didn't think it was my responsibility. Nonetheless, whiteboard use must be a shared communication tool and not simply a tool between nurse and patient. Practically, we would recommend that bedside nurses facilitate updating whiteboards each morning, at a time when they are already helping patients create a goal for the day. Other providers must be trained to review information on the whiteboard, engage patients about their specific goal, and share the responsibility of keeping the information on the whiteboard updated.

        • Create a system for auditing utilization and providing feedback early during rollout

          We found that adoption was very slow at the outset. One strategy to consider is having designated auditors check whiteboards in each room, measuring weekly compliance and providing this feedback to nurse managers. This auditing process may help identify barriers that can be addressed quickly (eg, unavailability of pens).

        Finally, it is important to comment on the confidentiality concerns often raised in the context of whiteboard use. Confidentiality concerns largely arise from personal health information being used without a patient's explicit consent. If our recommendations are adopted, they require whiteboard use to be a patient‐centered and patient‐driven initiative. The type of information on the whiteboard should be determined with sensitivity but also with consent of the patient. We have not experienced any concerns by patients or providers in this regard because patients are told about the goals of the whiteboard initiative with our above principles in mind.

        Conclusions

        Patient whiteboards may improve communication among members of the healthcare team (eg, nurses, physicians, and others) and between providers and their patients (and family members). Further investigation is warranted to determine if adopting our recommendations leads to improved communication, teamwork, or patient satisfaction and care. In the meantime, as many hospitals continue to install and implement whiteboards, we hope our recommendations, accompanied by an emphasis on creating a patient‐centered communication tool, offer a roadmap for considering best practices in their use.

        Acknowledgements

        This study of patient whiteboards developed during the Triad for Optimal Patient Safety (TOPS) project, an effort focused on improving unit‐based safety culture through improved teamwork and communication. The authors thank the Gordon and Betty Moore Foundation for their active support and funding of the TOPS project, which was a collaboration between the Schools of Medicine, Nursing, and Pharmacy at the University of California, San Francisco.

        References
        1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
        2. Gawande AA,Zinner MJ,Studdert DM,Brennan TA.Analysis of errors reported by surgeons at three teaching hospitals.Surgery.2003;133(6):614621.
        3. Greenberg CC,Regenbogen SE,Studdert DM, et al.Patterns of communication breakdowns resulting in injury to surgical patients.J Am Coll Surg.2007;204(4):533540.
        4. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
        5. The Joint Commission: Sentinel Event Statistics, March 31,2009. Available at: http://www.jointcommission.org/SentinelEvents/Statistics. Accessed October 2009.
        6. Awad SS,Fagan SP,Bellows C, et al.Bridging the communication gap in the operating room with medical team training.Am J Surg.2005;190(5):770774.
        7. Morey JC,Simon R,Jay GD, et al.Error reduction and performance improvement in the emergency department through formal teamwork training: evaluation results of the MedTeams project.Health Serv Res.2002;37(6):15531581.
        8. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
        9. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
        10. Barrett J,Gifford C,Morey J,Risser D,Salisbury M.Enhancing patient safety through teamwork training.J Healthc Risk Manag.2001;21(4):5765.
        11. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13(suppl 1):i85i90.
        12. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
        13. Sehgal NL,Fox M,Vidyarthi AR, et al.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) experience.J Gen Intern Med.2008;23(12):20532057.
        14. The Joint Commission's National Patient Safety Goals 2007 for Hospital/Critical Access Hospital. Available at:http://www.jointcommission.org/PatientSafety/NationalPatientSafetyGoals/07_hap_cah_npsgs.htm. Accessed October 2009.
        15. Institute of Medicine (U.S.). Committee on Quality of Health Care in America.Crossing the Quality Chasm: A New Health System for the 21st Century.Washington, DC:National Academy Press;2001.
        16. Bergeson SC,Dean JD.A systems approach to patient‐centered care.JAMA.2006;296(23):28482851.
        17. Wasson JH,Godfrey MM,Nelson ED,Mohr JJ,Batalden PB.Microsystems in health care: Part 4. Planning patient‐centered care.Jt Comm J Qual Saf.2003;29(5):227237.
        18. Gerteis M, Edgman‐Levitan S, Daley J, Delbanco TL, eds.Through the Patient's Eyes: Understanding and Promoting Patient‐Centered Care.San Francisco, CA:Jossey‐Bass;1993.
        19. Rutherford P,Lee B,Greiner A.Transforming Care at the Bedside. IHI Innovation Series white paper. Boston, MA: Institute for Healthcare Improvement;2004. Available at: http://www.ihi.org. Accessed October 2009.
        20. Fahey L.Schilling L.Nurse Knowledge Exchange: Patient Hand Offs. American Academy of Ambulatory Care Nursing (AAACN) Viewpoint. Sep/Oct 2007. Available at: http://findarticles.com/p/articles/mi_qa4022/is_200709/ai_n21137476. Accessed October 2009.
        21. Survey Console. Available at: http://www.surveyconsole.com. Accessed October 2009.
        22. How do we communicate?Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed October 2009.
        23. Baggs JG,Schmitt MH,Mushlin AI, et al.Association between nurse‐physician collaboration and patient outcomes in three intensive care units.Crit Care Med.1999;27(9):19911998.
        24. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
        References
        1. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14(6):401407.
        2. Gawande AA,Zinner MJ,Studdert DM,Brennan TA.Analysis of errors reported by surgeons at three teaching hospitals.Surgery.2003;133(6):614621.
        3. Greenberg CC,Regenbogen SE,Studdert DM, et al.Patterns of communication breakdowns resulting in injury to surgical patients.J Am Coll Surg.2007;204(4):533540.
        4. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishaps.Acad Med.2004;79(2):186194.
        5. The Joint Commission: Sentinel Event Statistics, March 31,2009. Available at: http://www.jointcommission.org/SentinelEvents/Statistics. Accessed October 2009.
        6. Awad SS,Fagan SP,Bellows C, et al.Bridging the communication gap in the operating room with medical team training.Am J Surg.2005;190(5):770774.
        7. Morey JC,Simon R,Jay GD, et al.Error reduction and performance improvement in the emergency department through formal teamwork training: evaluation results of the MedTeams project.Health Serv Res.2002;37(6):15531581.
        8. Clancy CM,Tornberg DN.TeamSTEPPS: assuring optimal teamwork in clinical settings.Am J Med Qual.2007;22(3):214217.
        9. Dunn EJ,Mills PD,Neily J,Crittenden MD,Carmack AL,Bagian JP.Medical team training: applying crew resource management in the Veterans Health Administration.Jt Comm J Qual Patient Saf.2007;33(6):317325.
        10. Barrett J,Gifford C,Morey J,Risser D,Salisbury M.Enhancing patient safety through teamwork training.J Healthc Risk Manag.2001;21(4):5765.
        11. Leonard M,Graham S,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13(suppl 1):i85i90.
        12. Haig KM,Sutton S,Whittington J.SBAR: a shared mental model for improving communication between clinicians.Jt Comm J Qual Patient Saf.2006;32(3):167175.
        13. Sehgal NL,Fox M,Vidyarthi AR, et al.A multidisciplinary teamwork training program: the Triad for Optimal Patient Safety (TOPS) experience.J Gen Intern Med.2008;23(12):20532057.
        14. The Joint Commission's National Patient Safety Goals 2007 for Hospital/Critical Access Hospital. Available at:http://www.jointcommission.org/PatientSafety/NationalPatientSafetyGoals/07_hap_cah_npsgs.htm. Accessed October 2009.
        15. Institute of Medicine (U.S.). Committee on Quality of Health Care in America.Crossing the Quality Chasm: A New Health System for the 21st Century.Washington, DC:National Academy Press;2001.
        16. Bergeson SC,Dean JD.A systems approach to patient‐centered care.JAMA.2006;296(23):28482851.
        17. Wasson JH,Godfrey MM,Nelson ED,Mohr JJ,Batalden PB.Microsystems in health care: Part 4. Planning patient‐centered care.Jt Comm J Qual Saf.2003;29(5):227237.
        18. Gerteis M, Edgman‐Levitan S, Daley J, Delbanco TL, eds.Through the Patient's Eyes: Understanding and Promoting Patient‐Centered Care.San Francisco, CA:Jossey‐Bass;1993.
        19. Rutherford P,Lee B,Greiner A.Transforming Care at the Bedside. IHI Innovation Series white paper. Boston, MA: Institute for Healthcare Improvement;2004. Available at: http://www.ihi.org. Accessed October 2009.
        20. Fahey L.Schilling L.Nurse Knowledge Exchange: Patient Hand Offs. American Academy of Ambulatory Care Nursing (AAACN) Viewpoint. Sep/Oct 2007. Available at: http://findarticles.com/p/articles/mi_qa4022/is_200709/ai_n21137476. Accessed October 2009.
        21. Survey Console. Available at: http://www.surveyconsole.com. Accessed October 2009.
        22. How do we communicate?Communication on Agile Software Projects. Available at: www.agilemodeling.com/essays/communication.htm. Accessed October 2009.
        23. Baggs JG,Schmitt MH,Mushlin AI, et al.Association between nurse‐physician collaboration and patient outcomes in three intensive care units.Crit Care Med.1999;27(9):19911998.
        24. Sehgal NL.Engaging patients at hospital discharge.J Hosp Med.2008;3(6):498500.
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        Duty Hours and Resident Inpatient Teaching

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        Impact of duty‐hour restriction on resident inpatient teaching

        Hospital medicine is the fastest growing specialty in the history of medicine, and nearly 20% of hospitalists work in academic settings.1 Academic hospitalists often wear many hats; one of their main responsibilities is to supervise and teach residents and students. Hospitalists have responded to a number of changes to the landscape of medicine over the last 5 years, but none has had a more profound impact on an academic hospitalist's clinical teaching duties than the mandated reduction in duty hours (duty‐hour restrictions [DHR]).

        In 2003, the Accreditation Council for Graduate Medical Education (ACGME) limited resident duty hours to 80 per week with no more than 30 consecutive hours,2 as a response to concerns about the impact of long duty hours on resident education, well‐being, and patient safety and pressures from impending legislation.3, 4 Data suggest many positive outcomes of these mandates,510 but one unforeseen consequence may be diminished time residents spend on teaching.1114

        Academic hospitalists partner with residents to provide care and contribute to the learning of the medical team. The time spent teaching has many merits for residents, as they are valuable teachers of medical students15 and many find teaching enjoyable.16 Teaching also increases residents' own medical knowledge.17

        Previous studies have demonstrated that some residents report teaching less since DHR.11, 13 Furthermore, greater than 75% of faculty educators, specifically those in Internal Medicine where the majority of academic hospitalists practice, perceive that since DHR, residents are teaching less.13 Given these concerns, and the benefits of resident teaching, it is important for academic hospitalists to understand the effects that DHR may have regarding the amount of time residents spend teaching and its consequences, in order to respond to this shift in the educational landscape and ensure trainee education while delivering exemplary patient care.

        To better understand the factors related to and impact of resident teaching time since DHR, we performed a cross‐sectional survey of internal medicine residents at the University of California, San Francisco (UCSF). We hypothesize that workload elements of resident life are associated with the amount of time spent teaching. We also posit that the amount of time spent teaching may impact resident well‐being and perceptions of patient care.

        Methods

        Sites and Subjects

        Descriptions of the survey protocol, including development and methods, have been published.11, 18 This study was performed at UCSF. The study was approved by the institutional review board at UCSF, and all 164 residents in internal medicine were eligible to participate. Data were collected beginning 1 month after DHR were implemented in February 2003 and collected for a total of 4 months.

        Survey Development

        After reviewing the literature and observing the residents over 1 month, the investigators identified domains pertaining to resident workload, quality of life, and patient care practices. An open‐ended question survey was created with questions regarding these domains, and given as a pilot survey to a group of residents ineligible for the study. Based on responses to the open‐ended questions, the investigators then developed a set of closed‐response items to the original questions. To establish content validity, the survey was reviewed by experts in medical education, outcomes research, and psychometrics, after which items were eliminated or reformatted if necessary. As a final check for usability and clarity, the survey was then pretested on non‐internal medicine house‐staff at the medical center and recent graduates of residency programs.

        Survey Measures

        Demographics

        Residents were asked to report their age (30 or >30 years), sex, postgraduate year (PGY), and training program (primary care, categorical, or preliminary).

        Teaching Time

        Residents were asked, compared to the same (or equivalent) inpatient rotation BEFORE February 2003, how much time did you spend teaching during your most recent inpatient rotation? Answers rated on a 5‐point scale, 1 being much less, and 5 being much more. Responses were dichotomized into less or same or more as described in the Results section.

        Hours Worked

        Residents were asked, During your most recent inpatient rotation, how many hours did you work in 1 average week? Possible answers: 50‐59, 60‐69, 70‐79, 80‐89, 90‐99, and 100. Responses were dichotomized into <80 or 80.

        Time Spent on Nonphysician Administrative Tasks

        Residents were asked to report, What percent of your time is spent doing tasks that could be completed by a non‐MD? Answers ranging between 0 and 100% were filled into a blank space by the resident.

        Emotional Exhaustion

        A single score defined as being emotionally overextended and exhausted by work. Constructed as the mean of two highly‐correlated item responses (Cronbach's alpha = 0.84): During your most recent workweek, how often did you feel overwhelmed at work? and During your most recent workweek, how often did you feel worn out? Responses ranged from 1 (never) to 5 (very often).

        Satisfaction with Patient Care

        During your most recent inpatient rotation workweek, how satisfied were you with the quality of patient care you provided? Rated on a 10‐point scale with 1 being completely unsatisfied and 10 being completely satisfied.

        Statistical Analyses

        Univariate statistics were used first to characterize the distribution and frequency of the residents' responses. Bivariate associations among variables were assessed with correlation analyses and t‐tests.

        Three regression models were constructed. First, a multivariate logistic regression model identified factors independently associated with self‐reported decreased teaching time. Variables were selected for the model based on prior hypotheses regarding factors related to decreased teaching time, observed relationships among variables, or to retain face validity of the model: age (30 versus >30 years), sex, PGY (PGY1 versus PGY2, PGY3), program (primary care versus categorical), hours worked/week, and percentage of time spent on administrative tasks. Next, a linear regression model examined the relationship between teaching time and emotional exhaustion, controlling for age, sex, PGY, program, hours worked, and time spent on administrative tasks. Finally, a linear regression model determined which of the factors in the second model, plus emotional exhaustion, were independently associated with satisfaction with patient care. All variables were retained in each model.

        Results

        The Residents

        Of 164 eligible residents, 125 (76%) returned the survey. Sex, PGY, and program were similar between respondents and nonrespondents (P > 0.2, P > 0.45, and P > 0.6, respectively). Respondents were equally distributed among year of training, with 36.6% PGY‐1, 35.8% PGY‐2, and 27.6% PGY‐3. Most respondents were female (60%), younger than age 30 years (70%), and enrolled in the categorical residency program (62%). All (100%) reported being aware of the system changes intended to reduce hours to <80 hours/week, and 35% reported working >80 hours/week after DHR. All PGY‐1s had completed inpatient months prior to being surveyed.

        Factors Associated With Spending Less Time Teaching

        Of the 126 respondents, 107 completed the question regarding time teaching; 8 don't know responses were coded as missing, yielding an analytic n of 99 (60%). Twenty‐four (24.2%) residents reported spending less (n = 21) or much less (n = 3) time teaching after DHR began. Because only three individuals reported much less teaching time after DHR, the group was not large enough to yield meaningful or stable analytic results, so the groups were combined. Bivariate comparisons between those who reported less teaching compared to those who reported the same or more are shown in Table 1.

        Characteristics of Residents
        CharacteristicThose Who Teach Same or More (n = 75)Those Who Teach Less or Much Less (n = 24)P Value*
        • Abbreviation: PGY, postgraduate year.

        • From chi‐square analyses or t‐tests comparing those who taught the same or more to those who taught less after institution of duty‐hour restrictions.

        PGY, n (%)  0.0013
        PGY‐141 (93.2)3 (6.8) 
        PGY‐223 (63.9)13 (36.1) 
        PGY‐311 (57.9)8 (42.1) 
        Training program, primary care, n (%)29 (38.7)6 (25.0)0.33
        Sex, female, n (%)43 (57.3)11 (45.8)0.35
        Age 30 years, n (%)55 (75.3)16 (66.7)0.43
        Number of hours worked <80, n (%)43 (58.1)22 (91.7)0.002

        In multivariate models, working <80 hours/week (odds ratio [OR], 5.99; 95% confidence interval [CI], 1.11‐32.48]), being a PGY‐2 (OR, 7.14; 95% CI, 1.56‐32.79]) or PGY‐3 (OR, 8.23; 95% CI, 1.44‐47.09), and reporting more time on administrative tasks (OR, 1.03; 95% CI, 1.00‐1.06) were associated with reports of spending less time teaching (Table 2).

        Factors Associated with Reports of Spending Less Time Teaching
        CharacteristicOR (CI)
        • Abbreviations: CI, confidence interval; OR, odds ratio; PGY, postgraduate year.

        Number of hours worked <805.99 (1.11‐32.48)
        Age >30 years0.91 (0.28‐2.45)
        Female0.83 (0.28‐2.45)
        PGY‐27.14 (1.56‐32.79)
        PGY‐38.23 (1.44‐47.09)
        Primary care program0.75 (0.22‐2.51)
        Time spent on nonphysician administrative tasks1.03 (1.00‐1.06)

        Impacts of Spending Less Time Teaching

        In bivariate comparisons, residents who reported reduced teaching time were less emotionally exhausted (P = 0.006) and more satisfied with the patient care they provided (P = 0.003) (Table 3). In the multivariate analysis, emotional exhaustion was significantly associated with satisfaction with patient care ( = 0.52; P = 0.01), but spending less time teaching was not ( = 0.32; P = 0.46). These analyses reveal that while there was a direct relationship between emotional exhaustion and satisfaction with patient care, the relationship between teaching time and satisfaction with patient care was mediated through emotional exhaustion.

        Impact of Spending Less Time Teaching on Resident Emotional Exhaustion and Satisfaction with the Quality of Patient Care
         Time Spent TeachingP Value
        Less or Much Less [Mean (SD)]Same or More [Mean (SD)]
        • NOTE: Controlled for age, sex, PGY, program, number of hours worked, and time spent on administrative tasks.

        • Abbreviations: PGY, postgraduate year; SD, standard deviation.

        • 1 = never, 5 = very often.

        • 1 = completely unsatisfied, 10 = completely satisfied.

        Frequency of emotional exhaustion*2.6 (0.8)3.2 (0.9)0.006
        Satisfaction with patient care8.1 (1.2)7.1 (1.8)0.003

        Discussion

        In this cross‐sectional survey of internal medicine residents, we found that roughly 25% of residents report spending less time teaching since DHR. Spending less time teaching was associated with working <80 hours/week, being PGY‐2 or PGY‐3 residents, and spending more time on administrative tasks. Residents' reports of spending less time teaching were in turn associated with less emotional exhaustion and more satisfaction with the quality of patient care they provided.

        As hospitalists have been shown to be more effective, and possibly better, teachers than nonhospitalists,19 and are increasingly responsible for teaching duties on academic medical services,1 our findings of some residents spending less time teaching since DHR may necessitate changes in hospitalist teaching roles to adapt to this previously unrecognized shift. Although the majority of the residents in our cohort did not experience diminished teaching time, the educational impact of diminished teaching time for the quarter of our cohort that taught less frequently post‐DHR is noteworthy, as these changes affect over 22,000 internal medicine residents. Our findings enhance previous work suggesting that DHR may have some negative effects on resident education.68, 1114, 20 We also found that those who spend less time teaching are more likely to be senior residents, the main teachers of medical students,21 and therefore a reduction in time spent teaching may adversely impact medical students, as previously described.22 Academic hospitalists, in order to maintain and ensure high levels of education and educational satisfaction in the post‐DHR era will likely benefit from recognizing and responding to this change.

        Our study also found that spending less time teaching was associated with fewer reports of emotional exhaustion and perceptions of higher quality patient care. Though residents enjoy teaching and would prefer to spend more time teaching if service responsibilities were fewer and if time allowed,16 it is possible that when the total amount of time to accomplish tasks in a week or day are limited, spending time teaching may lead to increased stress and pressure, overwhelming residents and leading to increased emotional exhaustion. Less emotional exhaustion and higher perceptions of patient care are positive outcomes that are, in fact, aligned with the ACGME DHR goals24 and are of prime importance to academic hospitalists as educators, role‐models, and care providers.

        Balancing the challenges of a reduction of time spent teaching and the possible benefits of the reduction will necessitate both individual and system‐wide responses. Hospitalists are uniquely poised to develop these responses, which will likely have widespread impacts not only in education but also in patient care and satisfaction with the inpatient experience. Some of these responses may include teaching innovations, such as honing skills for brief teaching, incorporating focused, patient‐driven teaching and emphasizing teachable moments,2325 or workflow innovations, including decreased administrative tasks for residents or changes to the workday schedule to enhance protected teaching time. Hospitalists may also need to increase their time contribution to teaching the medical team or structure more planned didactic sessions for residents and students to ensure that educational sessions are occurring.

        Many new hospitalists were trained during duty hour limitations, but the majority were not.1 The landscape of teaching on the medical wards since DHR is dramatically different, speckled with the discontinuities of multiple cross‐coverage residents.26 Residents may have unconsciously acclimated to the system change, and our findings, which give a time‐specific glimpse of the changes that took place with DHR, may inform some of the reasons behind the educational concerns of late.

        Our study has several limitations. As a cross‐sectional study, we describe associations and cannot discern causal pathways, but we believe that these associations themselves enhance our understanding of the consequences of DHR. We relied upon self‐reports of teaching time, which are subject to bias. These self‐reports, however, give insight into the resident's perspective of their experience, which is, in and of itself, noteworthy. This study is also subject to recall bias, and we attempted to minimize this by administering the survey just after DHR was implemented and by carefully framing the comparisons. Findings may be sensing secular events such as the challenges of a large system change or a difficult ward month. That said, our findings are consistent with other current survey studies of resident teaching time,1114 thus validating many of the conclusions from our collected data. As the survey was given shortly after DHR, it may not have accounted for initial obstacles of the new system; however, the survey was given over 4 months following DHR implementation at our institution, which we believe allowed the residency program time to adjust to the new organizational system while allowing for real‐time feedback. Our study was conducted at a single site; however, because the medical system studied is comprised of three hospitals, each of which used a variety of dayfloat and nightfloat interventions similar to systems at other institutions, we believe the variability within our system increases the generalizability of this study to other institutions. Finally, these data were collected in 2003, and since that time, programs have likely made significant adjustments in their rotation schedules and team structure and may look different now than previously. We believe that the timing of this study adequately characterizes the potential loss of teaching time pre‐DHR and post‐DHR in a way that current data cannot, due to resident acclimatization to culture change, and therefore may better inform hospitalists regarding changes that may be implicit as opposed to explicit in resident teaching.

        In conclusion, DHR has resulted in profound changes in teaching hospitals. Since education and patient care are central to the mission of academic hospitalists, they need to be aware of the potential for diminished teaching time by some of their residents, the factors that effect that change, and its impact on patient care. Hospitalists can use this information to create new systems of care delivery and education to optimize the resident and patient experience. As the duty hour issue has come again to the forefront, with the new Institute of Medicine Committee on Optimizing Graduated Medical Trainee (Resident) Hours and Work Schedules to Improve Patient Safety recommendations policies regarding duty hours,27 it is keenly important that hospitalists understand the potentially unforeseen consequences of DHR on important aspects of resident work such as teaching.

        References
        1. Society of Hospital Medicine (SHM). 2008. 2007‐2008 SHM Bi‐Annual Survey: The Authoritative Source on the State of the Hospital Medicine Movement. Philadelphia, PA: Society of Hospital Medicine.
        2. Accreditation Council for Graduate Medical Education. Resident Duty Hours Common Program Requirements. Available at: http://www. acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf). Accessed December2008.
        3. Philibert I, Friedmann P, Williams W;ACGME Work Group on Resident Duty Hours.Accreditation Council for Graduate Medical Education. New requirements for resident duty hours.JAMA.2002;288(9):11121114.
        4. Vidyarthi AR, Auerbach AD, Wachter RM, Katz PP.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        5. Goitein L, Shanafelt TD, Wipf JE, Slatore CG, Back AL.The effects of work‐hour limitations on resident well‐being, patient care, and education in an internal medicine residency program.Arch Intern Med.2005;165(22):26012606.
        6. Gopal R, Glasheen JJ, Miyoshi TJ, Prochazka AV.Burnout and internal medicine resident work‐hour restrictions.Arch Intern Med.2005;165(22):25952600.
        7. Lin GA, Beck DC, Stewart AL, Garbutt JM.Resident perceptions of the impact of work hour limitations.J Gen Intern Med.2007;22(7):969975.
        8. Mathis BR, Diers T, Hornung R, Ho M, Rouan G.Implementing duty hour restrictions without diminishing patient care or education.Acad Med.2006;81(1):6875.
        9. Horwitz LI, Kosiborod M, Lin Z, Krumholz HM.Changes in outcomes for internal medicine inpatients after work‐hour regulations.Ann Intern Med.2007;147:97103.
        10. Shetty KD, Bhattacharya J.Changes in hospital mortality associated with residency work hour regulations.Ann Intern Med.2007;147:7380.
        11. Vidyarthi AR, Katz PP, Wall SD, Wachter RM, Auerbach AD.Impact of reduced duty hours on residents' educational satisfaction at the University of California, San Francisco.Acad Med.2006;81(1):7681.
        12. Kogan JR, Pinto‐Powell R, Brown LA, Hemmer P, Bellini LM, Peltier D.The impact of resident duty hours reform on the internal medicine core clerkship: results from the clerkship directors in internal medicine survey.Acad Med.2006;81(12):10381044.
        13. Zahn CM, Dunlow SG, Alvero R, Parker JD, Nace C, Armstrong AY.Too little time to teach? Medical student education and work‐hour restriction.Mil Med.2007;172(10):10531057.
        14. Espey E, Ogburn T, Puscheck E.Impact of duty hour limitations on resident and student education in obstetrics and gynecology.J Reprod Med.2007;52(5):345348.
        15. Bing‐You RG, Sproul MS.Medical students' perceptions of themselves and residents as teachers.Med Teach.1992;14:133138.
        16. Greenberg LW, Goldberg MR, Jewett LS.Teaching in the clinical setting: factors influencing residents' perceptions, confidence and behavior.J Med Educ.1984;18:360365.
        17. Apter A, Metzger R, Glassroth J.Residents' perceptions of their role as teachers.J Med Educ.1988;63:900905.
        18. Vidyarthi A, Auerbach A, Wachter R, Katz P.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        19. Hauer KE, Wachter RM, McCulloch CE, Woo GA, Auerbach AD.Effects of hospitalist attending physicians on trainee satisfaction with teaching and with internal medicine rotations.Arch Intern Med.2004;164(17):18661871.
        20. Lund KJ, Teal SB, Alvero R.Resident job satisfaction: one year of duty hours.Am J Obstet Gynecol.2005;193(5):18231826.
        21. Brown R.House staff attitudes toward teaching.J Med Educ.1970;45(3):156159.
        22. Brasher AE, Chowdhry S, Hauge LS, Prinz RA.Medical students' perceptions of resident teaching: have duty hours regulations had an impact?Ann Surg.2005;242(4):548553.
        23. Harrison R, Allen E.Teaching internal medicine residents in the new era.J Gen Intern Med.2006;21:447452.
        24. Neher JO, Gordon KC, Meyer B, Stevens N.A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5(4):419424.
        25. Ferenchick G, Simpson D, Blackman J, DaRosa D, Dunnington G.Strategies for efficient and effective teaching in the ambulatory care setting.Acad Med.1997;72(4):277280.
        26. Vidyarthi AR, Arora V, Schnipper JL, Wall SD, Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
        27. Resident Duty Hours: Enhancing Sleep, Supervision, and Safety. Ulmer C, Wolman DM, Johns MME, eds.Committee on Optimizing Graduate Medical Trainee (Resident) Hours and Work Schedule to Improve Patient Safety, Institutes of Medicine.Washington, D.C.The National Academics Press,2008.
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        Hospital medicine is the fastest growing specialty in the history of medicine, and nearly 20% of hospitalists work in academic settings.1 Academic hospitalists often wear many hats; one of their main responsibilities is to supervise and teach residents and students. Hospitalists have responded to a number of changes to the landscape of medicine over the last 5 years, but none has had a more profound impact on an academic hospitalist's clinical teaching duties than the mandated reduction in duty hours (duty‐hour restrictions [DHR]).

        In 2003, the Accreditation Council for Graduate Medical Education (ACGME) limited resident duty hours to 80 per week with no more than 30 consecutive hours,2 as a response to concerns about the impact of long duty hours on resident education, well‐being, and patient safety and pressures from impending legislation.3, 4 Data suggest many positive outcomes of these mandates,510 but one unforeseen consequence may be diminished time residents spend on teaching.1114

        Academic hospitalists partner with residents to provide care and contribute to the learning of the medical team. The time spent teaching has many merits for residents, as they are valuable teachers of medical students15 and many find teaching enjoyable.16 Teaching also increases residents' own medical knowledge.17

        Previous studies have demonstrated that some residents report teaching less since DHR.11, 13 Furthermore, greater than 75% of faculty educators, specifically those in Internal Medicine where the majority of academic hospitalists practice, perceive that since DHR, residents are teaching less.13 Given these concerns, and the benefits of resident teaching, it is important for academic hospitalists to understand the effects that DHR may have regarding the amount of time residents spend teaching and its consequences, in order to respond to this shift in the educational landscape and ensure trainee education while delivering exemplary patient care.

        To better understand the factors related to and impact of resident teaching time since DHR, we performed a cross‐sectional survey of internal medicine residents at the University of California, San Francisco (UCSF). We hypothesize that workload elements of resident life are associated with the amount of time spent teaching. We also posit that the amount of time spent teaching may impact resident well‐being and perceptions of patient care.

        Methods

        Sites and Subjects

        Descriptions of the survey protocol, including development and methods, have been published.11, 18 This study was performed at UCSF. The study was approved by the institutional review board at UCSF, and all 164 residents in internal medicine were eligible to participate. Data were collected beginning 1 month after DHR were implemented in February 2003 and collected for a total of 4 months.

        Survey Development

        After reviewing the literature and observing the residents over 1 month, the investigators identified domains pertaining to resident workload, quality of life, and patient care practices. An open‐ended question survey was created with questions regarding these domains, and given as a pilot survey to a group of residents ineligible for the study. Based on responses to the open‐ended questions, the investigators then developed a set of closed‐response items to the original questions. To establish content validity, the survey was reviewed by experts in medical education, outcomes research, and psychometrics, after which items were eliminated or reformatted if necessary. As a final check for usability and clarity, the survey was then pretested on non‐internal medicine house‐staff at the medical center and recent graduates of residency programs.

        Survey Measures

        Demographics

        Residents were asked to report their age (30 or >30 years), sex, postgraduate year (PGY), and training program (primary care, categorical, or preliminary).

        Teaching Time

        Residents were asked, compared to the same (or equivalent) inpatient rotation BEFORE February 2003, how much time did you spend teaching during your most recent inpatient rotation? Answers rated on a 5‐point scale, 1 being much less, and 5 being much more. Responses were dichotomized into less or same or more as described in the Results section.

        Hours Worked

        Residents were asked, During your most recent inpatient rotation, how many hours did you work in 1 average week? Possible answers: 50‐59, 60‐69, 70‐79, 80‐89, 90‐99, and 100. Responses were dichotomized into <80 or 80.

        Time Spent on Nonphysician Administrative Tasks

        Residents were asked to report, What percent of your time is spent doing tasks that could be completed by a non‐MD? Answers ranging between 0 and 100% were filled into a blank space by the resident.

        Emotional Exhaustion

        A single score defined as being emotionally overextended and exhausted by work. Constructed as the mean of two highly‐correlated item responses (Cronbach's alpha = 0.84): During your most recent workweek, how often did you feel overwhelmed at work? and During your most recent workweek, how often did you feel worn out? Responses ranged from 1 (never) to 5 (very often).

        Satisfaction with Patient Care

        During your most recent inpatient rotation workweek, how satisfied were you with the quality of patient care you provided? Rated on a 10‐point scale with 1 being completely unsatisfied and 10 being completely satisfied.

        Statistical Analyses

        Univariate statistics were used first to characterize the distribution and frequency of the residents' responses. Bivariate associations among variables were assessed with correlation analyses and t‐tests.

        Three regression models were constructed. First, a multivariate logistic regression model identified factors independently associated with self‐reported decreased teaching time. Variables were selected for the model based on prior hypotheses regarding factors related to decreased teaching time, observed relationships among variables, or to retain face validity of the model: age (30 versus >30 years), sex, PGY (PGY1 versus PGY2, PGY3), program (primary care versus categorical), hours worked/week, and percentage of time spent on administrative tasks. Next, a linear regression model examined the relationship between teaching time and emotional exhaustion, controlling for age, sex, PGY, program, hours worked, and time spent on administrative tasks. Finally, a linear regression model determined which of the factors in the second model, plus emotional exhaustion, were independently associated with satisfaction with patient care. All variables were retained in each model.

        Results

        The Residents

        Of 164 eligible residents, 125 (76%) returned the survey. Sex, PGY, and program were similar between respondents and nonrespondents (P > 0.2, P > 0.45, and P > 0.6, respectively). Respondents were equally distributed among year of training, with 36.6% PGY‐1, 35.8% PGY‐2, and 27.6% PGY‐3. Most respondents were female (60%), younger than age 30 years (70%), and enrolled in the categorical residency program (62%). All (100%) reported being aware of the system changes intended to reduce hours to <80 hours/week, and 35% reported working >80 hours/week after DHR. All PGY‐1s had completed inpatient months prior to being surveyed.

        Factors Associated With Spending Less Time Teaching

        Of the 126 respondents, 107 completed the question regarding time teaching; 8 don't know responses were coded as missing, yielding an analytic n of 99 (60%). Twenty‐four (24.2%) residents reported spending less (n = 21) or much less (n = 3) time teaching after DHR began. Because only three individuals reported much less teaching time after DHR, the group was not large enough to yield meaningful or stable analytic results, so the groups were combined. Bivariate comparisons between those who reported less teaching compared to those who reported the same or more are shown in Table 1.

        Characteristics of Residents
        CharacteristicThose Who Teach Same or More (n = 75)Those Who Teach Less or Much Less (n = 24)P Value*
        • Abbreviation: PGY, postgraduate year.

        • From chi‐square analyses or t‐tests comparing those who taught the same or more to those who taught less after institution of duty‐hour restrictions.

        PGY, n (%)  0.0013
        PGY‐141 (93.2)3 (6.8) 
        PGY‐223 (63.9)13 (36.1) 
        PGY‐311 (57.9)8 (42.1) 
        Training program, primary care, n (%)29 (38.7)6 (25.0)0.33
        Sex, female, n (%)43 (57.3)11 (45.8)0.35
        Age 30 years, n (%)55 (75.3)16 (66.7)0.43
        Number of hours worked <80, n (%)43 (58.1)22 (91.7)0.002

        In multivariate models, working <80 hours/week (odds ratio [OR], 5.99; 95% confidence interval [CI], 1.11‐32.48]), being a PGY‐2 (OR, 7.14; 95% CI, 1.56‐32.79]) or PGY‐3 (OR, 8.23; 95% CI, 1.44‐47.09), and reporting more time on administrative tasks (OR, 1.03; 95% CI, 1.00‐1.06) were associated with reports of spending less time teaching (Table 2).

        Factors Associated with Reports of Spending Less Time Teaching
        CharacteristicOR (CI)
        • Abbreviations: CI, confidence interval; OR, odds ratio; PGY, postgraduate year.

        Number of hours worked <805.99 (1.11‐32.48)
        Age >30 years0.91 (0.28‐2.45)
        Female0.83 (0.28‐2.45)
        PGY‐27.14 (1.56‐32.79)
        PGY‐38.23 (1.44‐47.09)
        Primary care program0.75 (0.22‐2.51)
        Time spent on nonphysician administrative tasks1.03 (1.00‐1.06)

        Impacts of Spending Less Time Teaching

        In bivariate comparisons, residents who reported reduced teaching time were less emotionally exhausted (P = 0.006) and more satisfied with the patient care they provided (P = 0.003) (Table 3). In the multivariate analysis, emotional exhaustion was significantly associated with satisfaction with patient care ( = 0.52; P = 0.01), but spending less time teaching was not ( = 0.32; P = 0.46). These analyses reveal that while there was a direct relationship between emotional exhaustion and satisfaction with patient care, the relationship between teaching time and satisfaction with patient care was mediated through emotional exhaustion.

        Impact of Spending Less Time Teaching on Resident Emotional Exhaustion and Satisfaction with the Quality of Patient Care
         Time Spent TeachingP Value
        Less or Much Less [Mean (SD)]Same or More [Mean (SD)]
        • NOTE: Controlled for age, sex, PGY, program, number of hours worked, and time spent on administrative tasks.

        • Abbreviations: PGY, postgraduate year; SD, standard deviation.

        • 1 = never, 5 = very often.

        • 1 = completely unsatisfied, 10 = completely satisfied.

        Frequency of emotional exhaustion*2.6 (0.8)3.2 (0.9)0.006
        Satisfaction with patient care8.1 (1.2)7.1 (1.8)0.003

        Discussion

        In this cross‐sectional survey of internal medicine residents, we found that roughly 25% of residents report spending less time teaching since DHR. Spending less time teaching was associated with working <80 hours/week, being PGY‐2 or PGY‐3 residents, and spending more time on administrative tasks. Residents' reports of spending less time teaching were in turn associated with less emotional exhaustion and more satisfaction with the quality of patient care they provided.

        As hospitalists have been shown to be more effective, and possibly better, teachers than nonhospitalists,19 and are increasingly responsible for teaching duties on academic medical services,1 our findings of some residents spending less time teaching since DHR may necessitate changes in hospitalist teaching roles to adapt to this previously unrecognized shift. Although the majority of the residents in our cohort did not experience diminished teaching time, the educational impact of diminished teaching time for the quarter of our cohort that taught less frequently post‐DHR is noteworthy, as these changes affect over 22,000 internal medicine residents. Our findings enhance previous work suggesting that DHR may have some negative effects on resident education.68, 1114, 20 We also found that those who spend less time teaching are more likely to be senior residents, the main teachers of medical students,21 and therefore a reduction in time spent teaching may adversely impact medical students, as previously described.22 Academic hospitalists, in order to maintain and ensure high levels of education and educational satisfaction in the post‐DHR era will likely benefit from recognizing and responding to this change.

        Our study also found that spending less time teaching was associated with fewer reports of emotional exhaustion and perceptions of higher quality patient care. Though residents enjoy teaching and would prefer to spend more time teaching if service responsibilities were fewer and if time allowed,16 it is possible that when the total amount of time to accomplish tasks in a week or day are limited, spending time teaching may lead to increased stress and pressure, overwhelming residents and leading to increased emotional exhaustion. Less emotional exhaustion and higher perceptions of patient care are positive outcomes that are, in fact, aligned with the ACGME DHR goals24 and are of prime importance to academic hospitalists as educators, role‐models, and care providers.

        Balancing the challenges of a reduction of time spent teaching and the possible benefits of the reduction will necessitate both individual and system‐wide responses. Hospitalists are uniquely poised to develop these responses, which will likely have widespread impacts not only in education but also in patient care and satisfaction with the inpatient experience. Some of these responses may include teaching innovations, such as honing skills for brief teaching, incorporating focused, patient‐driven teaching and emphasizing teachable moments,2325 or workflow innovations, including decreased administrative tasks for residents or changes to the workday schedule to enhance protected teaching time. Hospitalists may also need to increase their time contribution to teaching the medical team or structure more planned didactic sessions for residents and students to ensure that educational sessions are occurring.

        Many new hospitalists were trained during duty hour limitations, but the majority were not.1 The landscape of teaching on the medical wards since DHR is dramatically different, speckled with the discontinuities of multiple cross‐coverage residents.26 Residents may have unconsciously acclimated to the system change, and our findings, which give a time‐specific glimpse of the changes that took place with DHR, may inform some of the reasons behind the educational concerns of late.

        Our study has several limitations. As a cross‐sectional study, we describe associations and cannot discern causal pathways, but we believe that these associations themselves enhance our understanding of the consequences of DHR. We relied upon self‐reports of teaching time, which are subject to bias. These self‐reports, however, give insight into the resident's perspective of their experience, which is, in and of itself, noteworthy. This study is also subject to recall bias, and we attempted to minimize this by administering the survey just after DHR was implemented and by carefully framing the comparisons. Findings may be sensing secular events such as the challenges of a large system change or a difficult ward month. That said, our findings are consistent with other current survey studies of resident teaching time,1114 thus validating many of the conclusions from our collected data. As the survey was given shortly after DHR, it may not have accounted for initial obstacles of the new system; however, the survey was given over 4 months following DHR implementation at our institution, which we believe allowed the residency program time to adjust to the new organizational system while allowing for real‐time feedback. Our study was conducted at a single site; however, because the medical system studied is comprised of three hospitals, each of which used a variety of dayfloat and nightfloat interventions similar to systems at other institutions, we believe the variability within our system increases the generalizability of this study to other institutions. Finally, these data were collected in 2003, and since that time, programs have likely made significant adjustments in their rotation schedules and team structure and may look different now than previously. We believe that the timing of this study adequately characterizes the potential loss of teaching time pre‐DHR and post‐DHR in a way that current data cannot, due to resident acclimatization to culture change, and therefore may better inform hospitalists regarding changes that may be implicit as opposed to explicit in resident teaching.

        In conclusion, DHR has resulted in profound changes in teaching hospitals. Since education and patient care are central to the mission of academic hospitalists, they need to be aware of the potential for diminished teaching time by some of their residents, the factors that effect that change, and its impact on patient care. Hospitalists can use this information to create new systems of care delivery and education to optimize the resident and patient experience. As the duty hour issue has come again to the forefront, with the new Institute of Medicine Committee on Optimizing Graduated Medical Trainee (Resident) Hours and Work Schedules to Improve Patient Safety recommendations policies regarding duty hours,27 it is keenly important that hospitalists understand the potentially unforeseen consequences of DHR on important aspects of resident work such as teaching.

        Hospital medicine is the fastest growing specialty in the history of medicine, and nearly 20% of hospitalists work in academic settings.1 Academic hospitalists often wear many hats; one of their main responsibilities is to supervise and teach residents and students. Hospitalists have responded to a number of changes to the landscape of medicine over the last 5 years, but none has had a more profound impact on an academic hospitalist's clinical teaching duties than the mandated reduction in duty hours (duty‐hour restrictions [DHR]).

        In 2003, the Accreditation Council for Graduate Medical Education (ACGME) limited resident duty hours to 80 per week with no more than 30 consecutive hours,2 as a response to concerns about the impact of long duty hours on resident education, well‐being, and patient safety and pressures from impending legislation.3, 4 Data suggest many positive outcomes of these mandates,510 but one unforeseen consequence may be diminished time residents spend on teaching.1114

        Academic hospitalists partner with residents to provide care and contribute to the learning of the medical team. The time spent teaching has many merits for residents, as they are valuable teachers of medical students15 and many find teaching enjoyable.16 Teaching also increases residents' own medical knowledge.17

        Previous studies have demonstrated that some residents report teaching less since DHR.11, 13 Furthermore, greater than 75% of faculty educators, specifically those in Internal Medicine where the majority of academic hospitalists practice, perceive that since DHR, residents are teaching less.13 Given these concerns, and the benefits of resident teaching, it is important for academic hospitalists to understand the effects that DHR may have regarding the amount of time residents spend teaching and its consequences, in order to respond to this shift in the educational landscape and ensure trainee education while delivering exemplary patient care.

        To better understand the factors related to and impact of resident teaching time since DHR, we performed a cross‐sectional survey of internal medicine residents at the University of California, San Francisco (UCSF). We hypothesize that workload elements of resident life are associated with the amount of time spent teaching. We also posit that the amount of time spent teaching may impact resident well‐being and perceptions of patient care.

        Methods

        Sites and Subjects

        Descriptions of the survey protocol, including development and methods, have been published.11, 18 This study was performed at UCSF. The study was approved by the institutional review board at UCSF, and all 164 residents in internal medicine were eligible to participate. Data were collected beginning 1 month after DHR were implemented in February 2003 and collected for a total of 4 months.

        Survey Development

        After reviewing the literature and observing the residents over 1 month, the investigators identified domains pertaining to resident workload, quality of life, and patient care practices. An open‐ended question survey was created with questions regarding these domains, and given as a pilot survey to a group of residents ineligible for the study. Based on responses to the open‐ended questions, the investigators then developed a set of closed‐response items to the original questions. To establish content validity, the survey was reviewed by experts in medical education, outcomes research, and psychometrics, after which items were eliminated or reformatted if necessary. As a final check for usability and clarity, the survey was then pretested on non‐internal medicine house‐staff at the medical center and recent graduates of residency programs.

        Survey Measures

        Demographics

        Residents were asked to report their age (30 or >30 years), sex, postgraduate year (PGY), and training program (primary care, categorical, or preliminary).

        Teaching Time

        Residents were asked, compared to the same (or equivalent) inpatient rotation BEFORE February 2003, how much time did you spend teaching during your most recent inpatient rotation? Answers rated on a 5‐point scale, 1 being much less, and 5 being much more. Responses were dichotomized into less or same or more as described in the Results section.

        Hours Worked

        Residents were asked, During your most recent inpatient rotation, how many hours did you work in 1 average week? Possible answers: 50‐59, 60‐69, 70‐79, 80‐89, 90‐99, and 100. Responses were dichotomized into <80 or 80.

        Time Spent on Nonphysician Administrative Tasks

        Residents were asked to report, What percent of your time is spent doing tasks that could be completed by a non‐MD? Answers ranging between 0 and 100% were filled into a blank space by the resident.

        Emotional Exhaustion

        A single score defined as being emotionally overextended and exhausted by work. Constructed as the mean of two highly‐correlated item responses (Cronbach's alpha = 0.84): During your most recent workweek, how often did you feel overwhelmed at work? and During your most recent workweek, how often did you feel worn out? Responses ranged from 1 (never) to 5 (very often).

        Satisfaction with Patient Care

        During your most recent inpatient rotation workweek, how satisfied were you with the quality of patient care you provided? Rated on a 10‐point scale with 1 being completely unsatisfied and 10 being completely satisfied.

        Statistical Analyses

        Univariate statistics were used first to characterize the distribution and frequency of the residents' responses. Bivariate associations among variables were assessed with correlation analyses and t‐tests.

        Three regression models were constructed. First, a multivariate logistic regression model identified factors independently associated with self‐reported decreased teaching time. Variables were selected for the model based on prior hypotheses regarding factors related to decreased teaching time, observed relationships among variables, or to retain face validity of the model: age (30 versus >30 years), sex, PGY (PGY1 versus PGY2, PGY3), program (primary care versus categorical), hours worked/week, and percentage of time spent on administrative tasks. Next, a linear regression model examined the relationship between teaching time and emotional exhaustion, controlling for age, sex, PGY, program, hours worked, and time spent on administrative tasks. Finally, a linear regression model determined which of the factors in the second model, plus emotional exhaustion, were independently associated with satisfaction with patient care. All variables were retained in each model.

        Results

        The Residents

        Of 164 eligible residents, 125 (76%) returned the survey. Sex, PGY, and program were similar between respondents and nonrespondents (P > 0.2, P > 0.45, and P > 0.6, respectively). Respondents were equally distributed among year of training, with 36.6% PGY‐1, 35.8% PGY‐2, and 27.6% PGY‐3. Most respondents were female (60%), younger than age 30 years (70%), and enrolled in the categorical residency program (62%). All (100%) reported being aware of the system changes intended to reduce hours to <80 hours/week, and 35% reported working >80 hours/week after DHR. All PGY‐1s had completed inpatient months prior to being surveyed.

        Factors Associated With Spending Less Time Teaching

        Of the 126 respondents, 107 completed the question regarding time teaching; 8 don't know responses were coded as missing, yielding an analytic n of 99 (60%). Twenty‐four (24.2%) residents reported spending less (n = 21) or much less (n = 3) time teaching after DHR began. Because only three individuals reported much less teaching time after DHR, the group was not large enough to yield meaningful or stable analytic results, so the groups were combined. Bivariate comparisons between those who reported less teaching compared to those who reported the same or more are shown in Table 1.

        Characteristics of Residents
        CharacteristicThose Who Teach Same or More (n = 75)Those Who Teach Less or Much Less (n = 24)P Value*
        • Abbreviation: PGY, postgraduate year.

        • From chi‐square analyses or t‐tests comparing those who taught the same or more to those who taught less after institution of duty‐hour restrictions.

        PGY, n (%)  0.0013
        PGY‐141 (93.2)3 (6.8) 
        PGY‐223 (63.9)13 (36.1) 
        PGY‐311 (57.9)8 (42.1) 
        Training program, primary care, n (%)29 (38.7)6 (25.0)0.33
        Sex, female, n (%)43 (57.3)11 (45.8)0.35
        Age 30 years, n (%)55 (75.3)16 (66.7)0.43
        Number of hours worked <80, n (%)43 (58.1)22 (91.7)0.002

        In multivariate models, working <80 hours/week (odds ratio [OR], 5.99; 95% confidence interval [CI], 1.11‐32.48]), being a PGY‐2 (OR, 7.14; 95% CI, 1.56‐32.79]) or PGY‐3 (OR, 8.23; 95% CI, 1.44‐47.09), and reporting more time on administrative tasks (OR, 1.03; 95% CI, 1.00‐1.06) were associated with reports of spending less time teaching (Table 2).

        Factors Associated with Reports of Spending Less Time Teaching
        CharacteristicOR (CI)
        • Abbreviations: CI, confidence interval; OR, odds ratio; PGY, postgraduate year.

        Number of hours worked <805.99 (1.11‐32.48)
        Age >30 years0.91 (0.28‐2.45)
        Female0.83 (0.28‐2.45)
        PGY‐27.14 (1.56‐32.79)
        PGY‐38.23 (1.44‐47.09)
        Primary care program0.75 (0.22‐2.51)
        Time spent on nonphysician administrative tasks1.03 (1.00‐1.06)

        Impacts of Spending Less Time Teaching

        In bivariate comparisons, residents who reported reduced teaching time were less emotionally exhausted (P = 0.006) and more satisfied with the patient care they provided (P = 0.003) (Table 3). In the multivariate analysis, emotional exhaustion was significantly associated with satisfaction with patient care ( = 0.52; P = 0.01), but spending less time teaching was not ( = 0.32; P = 0.46). These analyses reveal that while there was a direct relationship between emotional exhaustion and satisfaction with patient care, the relationship between teaching time and satisfaction with patient care was mediated through emotional exhaustion.

        Impact of Spending Less Time Teaching on Resident Emotional Exhaustion and Satisfaction with the Quality of Patient Care
         Time Spent TeachingP Value
        Less or Much Less [Mean (SD)]Same or More [Mean (SD)]
        • NOTE: Controlled for age, sex, PGY, program, number of hours worked, and time spent on administrative tasks.

        • Abbreviations: PGY, postgraduate year; SD, standard deviation.

        • 1 = never, 5 = very often.

        • 1 = completely unsatisfied, 10 = completely satisfied.

        Frequency of emotional exhaustion*2.6 (0.8)3.2 (0.9)0.006
        Satisfaction with patient care8.1 (1.2)7.1 (1.8)0.003

        Discussion

        In this cross‐sectional survey of internal medicine residents, we found that roughly 25% of residents report spending less time teaching since DHR. Spending less time teaching was associated with working <80 hours/week, being PGY‐2 or PGY‐3 residents, and spending more time on administrative tasks. Residents' reports of spending less time teaching were in turn associated with less emotional exhaustion and more satisfaction with the quality of patient care they provided.

        As hospitalists have been shown to be more effective, and possibly better, teachers than nonhospitalists,19 and are increasingly responsible for teaching duties on academic medical services,1 our findings of some residents spending less time teaching since DHR may necessitate changes in hospitalist teaching roles to adapt to this previously unrecognized shift. Although the majority of the residents in our cohort did not experience diminished teaching time, the educational impact of diminished teaching time for the quarter of our cohort that taught less frequently post‐DHR is noteworthy, as these changes affect over 22,000 internal medicine residents. Our findings enhance previous work suggesting that DHR may have some negative effects on resident education.68, 1114, 20 We also found that those who spend less time teaching are more likely to be senior residents, the main teachers of medical students,21 and therefore a reduction in time spent teaching may adversely impact medical students, as previously described.22 Academic hospitalists, in order to maintain and ensure high levels of education and educational satisfaction in the post‐DHR era will likely benefit from recognizing and responding to this change.

        Our study also found that spending less time teaching was associated with fewer reports of emotional exhaustion and perceptions of higher quality patient care. Though residents enjoy teaching and would prefer to spend more time teaching if service responsibilities were fewer and if time allowed,16 it is possible that when the total amount of time to accomplish tasks in a week or day are limited, spending time teaching may lead to increased stress and pressure, overwhelming residents and leading to increased emotional exhaustion. Less emotional exhaustion and higher perceptions of patient care are positive outcomes that are, in fact, aligned with the ACGME DHR goals24 and are of prime importance to academic hospitalists as educators, role‐models, and care providers.

        Balancing the challenges of a reduction of time spent teaching and the possible benefits of the reduction will necessitate both individual and system‐wide responses. Hospitalists are uniquely poised to develop these responses, which will likely have widespread impacts not only in education but also in patient care and satisfaction with the inpatient experience. Some of these responses may include teaching innovations, such as honing skills for brief teaching, incorporating focused, patient‐driven teaching and emphasizing teachable moments,2325 or workflow innovations, including decreased administrative tasks for residents or changes to the workday schedule to enhance protected teaching time. Hospitalists may also need to increase their time contribution to teaching the medical team or structure more planned didactic sessions for residents and students to ensure that educational sessions are occurring.

        Many new hospitalists were trained during duty hour limitations, but the majority were not.1 The landscape of teaching on the medical wards since DHR is dramatically different, speckled with the discontinuities of multiple cross‐coverage residents.26 Residents may have unconsciously acclimated to the system change, and our findings, which give a time‐specific glimpse of the changes that took place with DHR, may inform some of the reasons behind the educational concerns of late.

        Our study has several limitations. As a cross‐sectional study, we describe associations and cannot discern causal pathways, but we believe that these associations themselves enhance our understanding of the consequences of DHR. We relied upon self‐reports of teaching time, which are subject to bias. These self‐reports, however, give insight into the resident's perspective of their experience, which is, in and of itself, noteworthy. This study is also subject to recall bias, and we attempted to minimize this by administering the survey just after DHR was implemented and by carefully framing the comparisons. Findings may be sensing secular events such as the challenges of a large system change or a difficult ward month. That said, our findings are consistent with other current survey studies of resident teaching time,1114 thus validating many of the conclusions from our collected data. As the survey was given shortly after DHR, it may not have accounted for initial obstacles of the new system; however, the survey was given over 4 months following DHR implementation at our institution, which we believe allowed the residency program time to adjust to the new organizational system while allowing for real‐time feedback. Our study was conducted at a single site; however, because the medical system studied is comprised of three hospitals, each of which used a variety of dayfloat and nightfloat interventions similar to systems at other institutions, we believe the variability within our system increases the generalizability of this study to other institutions. Finally, these data were collected in 2003, and since that time, programs have likely made significant adjustments in their rotation schedules and team structure and may look different now than previously. We believe that the timing of this study adequately characterizes the potential loss of teaching time pre‐DHR and post‐DHR in a way that current data cannot, due to resident acclimatization to culture change, and therefore may better inform hospitalists regarding changes that may be implicit as opposed to explicit in resident teaching.

        In conclusion, DHR has resulted in profound changes in teaching hospitals. Since education and patient care are central to the mission of academic hospitalists, they need to be aware of the potential for diminished teaching time by some of their residents, the factors that effect that change, and its impact on patient care. Hospitalists can use this information to create new systems of care delivery and education to optimize the resident and patient experience. As the duty hour issue has come again to the forefront, with the new Institute of Medicine Committee on Optimizing Graduated Medical Trainee (Resident) Hours and Work Schedules to Improve Patient Safety recommendations policies regarding duty hours,27 it is keenly important that hospitalists understand the potentially unforeseen consequences of DHR on important aspects of resident work such as teaching.

        References
        1. Society of Hospital Medicine (SHM). 2008. 2007‐2008 SHM Bi‐Annual Survey: The Authoritative Source on the State of the Hospital Medicine Movement. Philadelphia, PA: Society of Hospital Medicine.
        2. Accreditation Council for Graduate Medical Education. Resident Duty Hours Common Program Requirements. Available at: http://www. acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf). Accessed December2008.
        3. Philibert I, Friedmann P, Williams W;ACGME Work Group on Resident Duty Hours.Accreditation Council for Graduate Medical Education. New requirements for resident duty hours.JAMA.2002;288(9):11121114.
        4. Vidyarthi AR, Auerbach AD, Wachter RM, Katz PP.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        5. Goitein L, Shanafelt TD, Wipf JE, Slatore CG, Back AL.The effects of work‐hour limitations on resident well‐being, patient care, and education in an internal medicine residency program.Arch Intern Med.2005;165(22):26012606.
        6. Gopal R, Glasheen JJ, Miyoshi TJ, Prochazka AV.Burnout and internal medicine resident work‐hour restrictions.Arch Intern Med.2005;165(22):25952600.
        7. Lin GA, Beck DC, Stewart AL, Garbutt JM.Resident perceptions of the impact of work hour limitations.J Gen Intern Med.2007;22(7):969975.
        8. Mathis BR, Diers T, Hornung R, Ho M, Rouan G.Implementing duty hour restrictions without diminishing patient care or education.Acad Med.2006;81(1):6875.
        9. Horwitz LI, Kosiborod M, Lin Z, Krumholz HM.Changes in outcomes for internal medicine inpatients after work‐hour regulations.Ann Intern Med.2007;147:97103.
        10. Shetty KD, Bhattacharya J.Changes in hospital mortality associated with residency work hour regulations.Ann Intern Med.2007;147:7380.
        11. Vidyarthi AR, Katz PP, Wall SD, Wachter RM, Auerbach AD.Impact of reduced duty hours on residents' educational satisfaction at the University of California, San Francisco.Acad Med.2006;81(1):7681.
        12. Kogan JR, Pinto‐Powell R, Brown LA, Hemmer P, Bellini LM, Peltier D.The impact of resident duty hours reform on the internal medicine core clerkship: results from the clerkship directors in internal medicine survey.Acad Med.2006;81(12):10381044.
        13. Zahn CM, Dunlow SG, Alvero R, Parker JD, Nace C, Armstrong AY.Too little time to teach? Medical student education and work‐hour restriction.Mil Med.2007;172(10):10531057.
        14. Espey E, Ogburn T, Puscheck E.Impact of duty hour limitations on resident and student education in obstetrics and gynecology.J Reprod Med.2007;52(5):345348.
        15. Bing‐You RG, Sproul MS.Medical students' perceptions of themselves and residents as teachers.Med Teach.1992;14:133138.
        16. Greenberg LW, Goldberg MR, Jewett LS.Teaching in the clinical setting: factors influencing residents' perceptions, confidence and behavior.J Med Educ.1984;18:360365.
        17. Apter A, Metzger R, Glassroth J.Residents' perceptions of their role as teachers.J Med Educ.1988;63:900905.
        18. Vidyarthi A, Auerbach A, Wachter R, Katz P.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        19. Hauer KE, Wachter RM, McCulloch CE, Woo GA, Auerbach AD.Effects of hospitalist attending physicians on trainee satisfaction with teaching and with internal medicine rotations.Arch Intern Med.2004;164(17):18661871.
        20. Lund KJ, Teal SB, Alvero R.Resident job satisfaction: one year of duty hours.Am J Obstet Gynecol.2005;193(5):18231826.
        21. Brown R.House staff attitudes toward teaching.J Med Educ.1970;45(3):156159.
        22. Brasher AE, Chowdhry S, Hauge LS, Prinz RA.Medical students' perceptions of resident teaching: have duty hours regulations had an impact?Ann Surg.2005;242(4):548553.
        23. Harrison R, Allen E.Teaching internal medicine residents in the new era.J Gen Intern Med.2006;21:447452.
        24. Neher JO, Gordon KC, Meyer B, Stevens N.A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5(4):419424.
        25. Ferenchick G, Simpson D, Blackman J, DaRosa D, Dunnington G.Strategies for efficient and effective teaching in the ambulatory care setting.Acad Med.1997;72(4):277280.
        26. Vidyarthi AR, Arora V, Schnipper JL, Wall SD, Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
        27. Resident Duty Hours: Enhancing Sleep, Supervision, and Safety. Ulmer C, Wolman DM, Johns MME, eds.Committee on Optimizing Graduate Medical Trainee (Resident) Hours and Work Schedule to Improve Patient Safety, Institutes of Medicine.Washington, D.C.The National Academics Press,2008.
        References
        1. Society of Hospital Medicine (SHM). 2008. 2007‐2008 SHM Bi‐Annual Survey: The Authoritative Source on the State of the Hospital Medicine Movement. Philadelphia, PA: Society of Hospital Medicine.
        2. Accreditation Council for Graduate Medical Education. Resident Duty Hours Common Program Requirements. Available at: http://www. acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf). Accessed December2008.
        3. Philibert I, Friedmann P, Williams W;ACGME Work Group on Resident Duty Hours.Accreditation Council for Graduate Medical Education. New requirements for resident duty hours.JAMA.2002;288(9):11121114.
        4. Vidyarthi AR, Auerbach AD, Wachter RM, Katz PP.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        5. Goitein L, Shanafelt TD, Wipf JE, Slatore CG, Back AL.The effects of work‐hour limitations on resident well‐being, patient care, and education in an internal medicine residency program.Arch Intern Med.2005;165(22):26012606.
        6. Gopal R, Glasheen JJ, Miyoshi TJ, Prochazka AV.Burnout and internal medicine resident work‐hour restrictions.Arch Intern Med.2005;165(22):25952600.
        7. Lin GA, Beck DC, Stewart AL, Garbutt JM.Resident perceptions of the impact of work hour limitations.J Gen Intern Med.2007;22(7):969975.
        8. Mathis BR, Diers T, Hornung R, Ho M, Rouan G.Implementing duty hour restrictions without diminishing patient care or education.Acad Med.2006;81(1):6875.
        9. Horwitz LI, Kosiborod M, Lin Z, Krumholz HM.Changes in outcomes for internal medicine inpatients after work‐hour regulations.Ann Intern Med.2007;147:97103.
        10. Shetty KD, Bhattacharya J.Changes in hospital mortality associated with residency work hour regulations.Ann Intern Med.2007;147:7380.
        11. Vidyarthi AR, Katz PP, Wall SD, Wachter RM, Auerbach AD.Impact of reduced duty hours on residents' educational satisfaction at the University of California, San Francisco.Acad Med.2006;81(1):7681.
        12. Kogan JR, Pinto‐Powell R, Brown LA, Hemmer P, Bellini LM, Peltier D.The impact of resident duty hours reform on the internal medicine core clerkship: results from the clerkship directors in internal medicine survey.Acad Med.2006;81(12):10381044.
        13. Zahn CM, Dunlow SG, Alvero R, Parker JD, Nace C, Armstrong AY.Too little time to teach? Medical student education and work‐hour restriction.Mil Med.2007;172(10):10531057.
        14. Espey E, Ogburn T, Puscheck E.Impact of duty hour limitations on resident and student education in obstetrics and gynecology.J Reprod Med.2007;52(5):345348.
        15. Bing‐You RG, Sproul MS.Medical students' perceptions of themselves and residents as teachers.Med Teach.1992;14:133138.
        16. Greenberg LW, Goldberg MR, Jewett LS.Teaching in the clinical setting: factors influencing residents' perceptions, confidence and behavior.J Med Educ.1984;18:360365.
        17. Apter A, Metzger R, Glassroth J.Residents' perceptions of their role as teachers.J Med Educ.1988;63:900905.
        18. Vidyarthi A, Auerbach A, Wachter R, Katz P.The impact of duty hours on resident self reports of errors.J Gen Intern Med.2007;22(2):205209.
        19. Hauer KE, Wachter RM, McCulloch CE, Woo GA, Auerbach AD.Effects of hospitalist attending physicians on trainee satisfaction with teaching and with internal medicine rotations.Arch Intern Med.2004;164(17):18661871.
        20. Lund KJ, Teal SB, Alvero R.Resident job satisfaction: one year of duty hours.Am J Obstet Gynecol.2005;193(5):18231826.
        21. Brown R.House staff attitudes toward teaching.J Med Educ.1970;45(3):156159.
        22. Brasher AE, Chowdhry S, Hauge LS, Prinz RA.Medical students' perceptions of resident teaching: have duty hours regulations had an impact?Ann Surg.2005;242(4):548553.
        23. Harrison R, Allen E.Teaching internal medicine residents in the new era.J Gen Intern Med.2006;21:447452.
        24. Neher JO, Gordon KC, Meyer B, Stevens N.A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5(4):419424.
        25. Ferenchick G, Simpson D, Blackman J, DaRosa D, Dunnington G.Strategies for efficient and effective teaching in the ambulatory care setting.Acad Med.1997;72(4):277280.
        26. Vidyarthi AR, Arora V, Schnipper JL, Wall SD, Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
        27. Resident Duty Hours: Enhancing Sleep, Supervision, and Safety. Ulmer C, Wolman DM, Johns MME, eds.Committee on Optimizing Graduate Medical Trainee (Resident) Hours and Work Schedule to Improve Patient Safety, Institutes of Medicine.Washington, D.C.The National Academics Press,2008.
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        Sign‐Out within the Electronic Medical Record

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        SynopSIS: Integrating physician sign‐out with the electronic medical record

        The delivery of safe, high‐quality care to hospitalized patients depends on effective communication among providers.1, 2 Inpatients may receive care from a number of specialists in addition to their primary hospital physicians, and each provider may practice in a group that transfers care of individual patients among its members. This issue is exacerbated in teaching hospitals because fellows, residents, and interns make frequent transfers of care because of work‐hour rules.3, 4 Finally, teams of physician providers making management decisions must effectively communicate with other members of the care team, such as nurses, dieticians, and social workers, who also may be part of a group practice involving transfers. A patient hospitalized for just a few days in a modern hospital may receive care from dozens of providers and be the subject of multiple transfers of care, or handoffs, that require effective communication. Therefore, as part of its 2006 National Patient Safety Goals,5 the Joint Commission on Accreditation of Health Care Organizations (JCAHO) now requires that each hospital implement a standardized, structured approach to transfers of care.

        Transfers of care have been shown to be a source of medical errors and adverse patient outcomes.2, 6, 7 In many cases, the critical information necessary to avert medical errors exists but is not available in real time to providers.6

        Traditionally, provider teams have relied on the patient chart, in concert with direct patient evaluation, to provide the information to guide decision making during a hospitalization. Unfortunately, the structure of the chart in most hospitals has evolved little over the past 80 years810 and remains organized so that information is more easily filed than retrieved, read, or summarized.811 Typically, electronic medical records (EMRs) mimic the appearance of paper records and include similar organizational flaws.12 As a result, many providers have created ad hoc informational systems, separate from the chart, designed to track a patient's progress over time and to facilitate transfers of care. These sign‐out systems, which are intended to complement verbal sign‐out between providers,1315 range in complexity from simple handwritten index cards16 to adapted spreadsheets, PDA systems,17, 18 and more complex data systems (eg, FileMaker Pro)19 and often contain crucial information not found elsewhere in the medical record.20, 21

        Although sign‐out systems are crucial to patient safety, they have several drawbacks. First, ad‐hoc informational systems may not be standardized, resulting in content and accuracy that vary among providers.22 These systems may fail to identify critical elements of a patient's condition, promoting ineffective communication and placing the patient at increased risk of adverse events.7, 13, 23

        These observations underscore the need for a standardized patient‐tracking instrument that can distill crucial patient information, enhance communication, support transfers, improve efficiency, and enhance continuity of patient care.

        We aimed to develop an integrated, problem‐based patient‐tracking tool as part of our hospital's EMR. The tool, SynopSIS, supports patient tracking, transfers of care (ie, sign‐outs), and daily rounds.

        METHODS

        Setting

        The study took place at a 547‐bed adult and pediatric tertiary‐care university‐based teaching hospital with 2 campuses at the University of California, San Francisco, Medical Center (UCSFMC).

        PROGRAM DESCRIPTION

        Development and Design

        A multidisciplinary team of practicing residents and attending physicians, information technology leaders, software engineers, and experts in medical communication and sign‐out developed the SynopSIS tool. We reviewed the literature to incorporate key design elements of other successfully implemented information transfer systems.24, 25

        We conducted a formal review of existing patient‐tracking and sign‐out systems at our hospital to characterize provider work practices, with an emphasis on the specific information requirements of different specialties. A needs assessment of current sign‐out processes at UCSFMC was conducted by personal interviews with a chief resident or representative of each of the 18 Accreditation Council of Graduate Medical Education (ACGME) accredited residency programs through the dean's office of Graduate Medical Education. This needs assessment revealed that the majority of the programs did not have a standardized mechanism for sign‐out. Although most did use a written format for sign‐out, the actual type of written format varied from handwritten cards to databases using a variety of programs including Filemaker Pro, Microsoft Excel, and Microsoft Word. When asked what could improve the sign‐out system for their program, they most often responded that it would be having a standardized computerized sign‐out system in the hospital.26

        During the design and pilot phase, we presented each SynopSIS function to an advisory committee of more than 50 trainees in medical, surgical, and pediatric general and subspecialty fields. Their input shaped the information content and presentation of our tool. In addition, we discussed the tool with the attending‐physician advisory group that oversees the implementation of clinical information systems in our hospital system.

        Conceptual Model

        We developed this conceptual model by integrating existing scholarship and input from stakeholders at our institution. First, we reviewed existing literature on documentation and transfers of care. Next, we conducted several focus group sessions with our EMR Residents' Advisory Group to conceptualize work flow and handoff needs for hospital physicians across specialties. We arrived at this model after several iterations of feedback from providers.

        SynopSIS maps patient data available in the EMR to each of the 3 main functions according to type of clinical decisions supported by that function (Fig. 1). For example, data needed for effective patient tracking, such as likely functional status, are required to make decisions over the course of a patient's hospitalization. Similarly, data needed for sign‐out are used to make decisions over the course of a shift, typically overnight; and data needed for morning rounds are used to make decisions for the day. Although the information required for each function overlaps considerably, there are specialized data elements unique to each function.

        Figure 1
        The 3 functions of the SynopSIS tool correspond to 3 levels of provider decision making: decisions about hospitalization, daily decisions, and overnight or on‐shift decisions. The area of overlap represents information crucial for all levels of decision making.

        Description of Functionality

        SynopSIS is integrated with our hospital's EMR, General Electric (GE) Centricity Enterprise. The physician interface for SynopSIS is shown in Figure 2. After selecting a patient from a list corresponding to a given inpatient service (eg, Medicine Team B), the user selects the menu option to view the SynopSIS screen, which provides an at a glance overview of the patient's current condition. Different fields on the screen support each of SynopSIS's 3 main functions. At the top, the patient's demographic and registration information is displayed, including name, location, age, medical record number, and attending physician. Below are fields viewable and editable by users of the EMR. The Admission Diagnosis/Course and Problem List fields support patient tracking and allow a receiving physician to understand the reason for the patient's admission, the overall course of the illness, and the current active problems. The problem list is entered by the primary hospital physician. The Anticipated Problems/To Do List field supports the sign‐out function from which providers can coordinate care‐related activities and make contingency plans for anticipated events. The patients' most recent laboratory results and vital signs are displayed on the lower left of the screen for easy reference during face‐to‐face physician sign‐outs. Finally, the CODE status, Allergies, and Medications fields allow efficient tracking of information. Temporarily, until the pharmacy component of the EMR goes into use, the primary hospital physician will enter and update the medications. When the pharmacy is linked to the EMR, medications will be added directly from the inpatient pharmacy records to the EMR‐linked sign‐out tool.

        Figure 2
        Providers would transfer care through a face‐to‐face discussion while viewing the data on‐screen using the SynopSIS tool. Note that these are not actual patient data but are simulated data for use in this example.

        This on‐screen SynopSIS view is distinct from the summary screen typically seen in EMRs, including vendor‐based and the Veterans' Affairs systems. For instance, the Veterans' Affairs summary screen incorporates clinical and nonclinical data, including demographic and payment information, upcoming appointments, and patient‐specific information such as allergies. Moreover, it is not editable by primary hospital physicians. Unlike a summary screen, which collates select patient information from other parts of the EMR, SynopSIS is specific to the current acute hospitalization and includes information not found elsewhere in the medical record.

        To support rounding, SynopSIS gathers and presents data from the EMR in a printed Rounds Report (Fig. 3). The report is generated for all patients assigned to an inpatient service (eg, Medicine Team B) and emphasizes clarity and brevity using a format validated in the medical literature.24, 25 Each patient's report covers one fourth of a standard 8‐by‐11‐inch landscape‐printed page. The top half of each of these quarter‐page patient reports displays data stored in SynopSIS's interface and summarizes the patient's illness and the course of that illness. The lower half displays vital signs, intake/output, and laboratory data over the 24 hours from the time of printing. The most recent value and the range over the previous 24 hours of all vital signs are displayed. Intake/output totals are listed together with a structured breakdown. Laboratory results for the past 24 hours are listed with the most immediate prior values, allowing providers to discern trends. We envision providers obtaining a rounds report on arrival each day before examining their patients.

        Figure 3
        Printed SynopSIS views give providers a portable summary of each patient, useful for rounding and for night‐shift providers. Note that these are not actual patient data but are simulated data for use in this example.

        Importantly, although SynopSIS is part of the patient's medical record, physician users may change or overwrite the data in any field. This ability is a critical feature of the toolthe focus is on providing an interpretable snapshot of the patient. Data may be removed as their importance lessens or as the patient's condition changes, which contrasts with unchangeable documentation geared for alternative purposes, such as billing or medical‐legal requirements. Deleted data are saved in the medical record and are viewable by audit.

        Program Evaluation

        We have planned a postimplementation evaluation for SynopSIS. Each of the 3 functions (patient tracking, rounding, and care transitions) will be assessed separately. We will explore rounding efficiency and quality by survey and through direct observation. We plan to assess the percentage of time spent on direct patient care versus gathering patient data during morning rounds. We adapted elements of SynopSIS from UWCores, an existing sign‐out application in place at the University of Washington.24, 25 In a randomized trial, UWCores was shown to improve indicators of quality of care (more time spent with patients on rounds, fewer patients missed on rounds) and rounding efficiency (less time prerounding and rounding).25 For evaluation, we plan to use a previously published instrument25 in an online survey of SynopSIS users to assess perceived changes in the quality of sign‐out, providerprovider communication, and patient continuity of care. We intend to measure daily use of SynopSIS by primary providers, covering providers, and consulting physicians in order to assess its impact on each patient's care plan. We hypothesize that primary hospital physicians will access SynopSIS at least 3 times daily: on arrival at the hospital, after rounding, and prior to handoffs. We also plan to investigate whether consulting physicians will view SynopSIS daily rather than obtaining patient data such as labs and vital signs from separate parts of the EMR. Finally, we hypothesize that SynopSIS may facilitate initiation of appropriate discharge planning earlier in a patient's hospital course because it is viewable by nursing, care management, and social work personnel. Importantly, we will implement SynopSIS after the EMR gains universal use at our hospital. We will then wait for a washout following the EMR implementation in order to avoid confounding with the effects of the EMR. We will then be able to separate the effects of this tool from the effects of the EMR. Our EMR does not offer a function comparable to the rounds report or sign‐out tool in SynopSIS.

        In addition to this quantitative evaluation process, we plan to solicit feedback from SynopSIS users in focus groups, including physicians at all levels of training as well as nonphysicians. We will use this information to revise SynopSIS according to the users' needs and to tailor the application to diverse specialty services.

        DISCUSSION

        Several systems have been developed to enhance communication among providers and to support the transfer of care of hospitalized patients.13, 14, 16, 19, 24, 25 We have developed a tool to support patient tracking, sign‐out, and rounding that incorporates key elements of previously designed systems and may improve communication among providers. SynopSIS helps to fulfill the 2006 JCAHO accreditation requirement for standardized communication for transfers of care when used with appropriate verbal communication, including an opportunity to ask and respond to questions.5 Research from other safety‐oriented industries recommends standardized information transfer, which SynopSIS will provide.20 What is innovative about SynopSIS is that it is not a stand‐alone system, but an integrated part of the EMR.

        Currently, fewer than 5% of hospitals have an electronic sign‐out tool linked to hospital information systems27; therefore, SynopSIS has great potential for dissemination. In technical terms, this tool was coded by GE and could be readily adopted by any other GE Centricity Enterprise customer. Moreover, the conceptual model, the design strategy, and the critical system elements should be relevant to effective patient tracking, sign‐out, and rounding across different IT platforms.

        Despite its strengths, the SynopSIS system has several limitations. First, appropriate transfer of care is a learned process that incorporates well‐described provider and system elements.15, 21, 2830 This tool cannot perform sign‐out; it makes up one part of an effective sign‐out process. As our institution implements SynopSIS, we will also proceed with educational efforts and infrastructure to improve the sign‐out process. Second, although data can be overwritten, prior screen versions are archived in the database. Because SynopSIS is part of the medical record, users may omit sensitive or clinically useful information because of medical‐legal concerns, such as sensitive family dynamics or patient behavioral issues that providers may be reluctant to document in the patient chart. Currently, such information is conveyed verbally during sign‐out. Third, as information gathering and transfer become more automated, informal person‐to‐person interactions among providers (eg, physicians and nurses) may erode. However, we expect that SynopSIS actually will enhance the quality of this communication because it places them on the same page. Finally, SynopSIS generates paper reports that must be disposed of in accordance with standards of patient confidentiality.

        We believe that SynopSIS will improve the quality of care through several mechanisms. Because this single‐screen summary will be available to all members of a patients' care team, it is possible that SynopSIS will enable providers to share management plans more readily. Although nursing and care management do not use SynopSIS for their own handoffs, they have clamored for the ability to view it. In addition, rotating providers can readily assume care of an unfamiliar patient. By automating data‐gathering tasks, SynopSIS may foster efficiency and increase time with patients during rounds. For trainee providers in particular, such increased efficiency should allow more time for education and alleviate some of the pressures of duty‐hour compliance. Most important, SynopSIS frees the EMR from emulating the historic paper chart as its method of supporting clinical work flow and communication. That paradigm does not harness the power of today's EMR databases and integration capabilities31 and creates extra work through interruptive work flow and redundant effort.32 With SynopSIS reengineering, instead of providers having to serve the needs of the chart, the chart serves the needs of providers and patients.

        Future clinical documentation and EMR systems should focus on provider work flow to improve quality and efficiency in patient care. Moreover, involving providers, including residents, in system design fosters innovation and optimally applies information technology to supporting clinical practice.

        Acknowledgements

        The authors acknowledge Harry Wong, Chutima Assapimonwait, and Vern Rogers for programming the application. Deborah G. Airo edited the manuscript.

        References
        1. Pizzi L,Goldfarb N,Nash D.Crew resource managment and its applications in medicine. Making health care safer: A critical analysis of patient safety practices. Evidence report/technology assessment2001. AHRQ publication 01‐E058(43).
        2. Wachter R,Shojania K.Internal Bleeding: The Truth behind America's Terrifying Epidemic of Medical Mistakes.New York, NY:Rugged Land;2004.
        3. Philibert I,Friedmann P,Williams W.New requirements for resident duty hours.JAMA.2002;288:11121124.
        4. Laine C,Goldman L,Soukup JR,Hayes JG.The impact of a regulation restricting medical house staff working hours on the quality of patient care.JAMA.1993;269:374378.
        5. Joint Commission 2006 National Patient Safety Goals Implementation Expectations.2005. Available at: http://www.jcaho.org/accredited+organizations/patient+safety/06_npsg_ie.pdf.
        6. Cook RI,Render M,Woods DD.Gaps in the continuity of care and progress on patient safety.BMJ.2000;320:791794.
        7. Petersen LA,Brennan TA,O'Neil AC,Cook EF,Lee TH.Does housestaff discontinuity of care increase the risk for preventable adverse events?Ann Intern Med.1994;121:866872.
        8. Weed L.The problem‐oriented record—its organizing principles and its structure.League Exch.1975 (103):36.
        9. Weed LJ.The problem oriented record as a basic tool in medical education, patient care and clinical research.Ann Clin Res.1971;3(3):131134.
        10. Weed LL.Medical records, patient care, and medical education.Ir J Med Sci.1964;17:271282.
        11. Payne TH,Gaster B,Mineer D, et al.Creating a note classification scheme for a multi‐institutional electronic medical record.AMIA Annu Symp Proc.2003:968.
        12. Embi P,Yackel T,Logan J,Bowen J,Cooney T,Gorman P.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11:300309.
        13. Petersen LA,Orav EJ,Teich JM,O'Neil AC,Brennan TA.Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events.Jt Comm J Qual Improv.1998;24(2):7787.
        14. Ram R,Block B.Signing out patients for off‐hours coverage: comparison of manual and computer‐aided methods.Proc Annu Symp Comput Appl Med Care.1992:114118.
        15. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1:257266.
        16. Lee LH,Levine JA,Schultz HJ.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        17. Young RJ,Horsley SD,McKenna M.The potential role of IT in supporting the work of junior doctors.J R Coll Physicians Lond.2000;34:366370.
        18. Luo J,Hales R,Hilty D,Brennan C.Electronic Sign‐out using a personal digital assistant.Psychiatr Serv.2001;52(2):173174.
        19. Frazer TS.“Doctor's notes”: a computerized method for managing inpatient care.Fam Med.1988;20:223224.
        20. Patterson ES,Roth EM,Woods DD,Chow R,Gomes JO.Handoff strategies in settings with high consequences for failure: lessons for health care operations.Int J Qual Health Care.2004;16(2):125132.
        21. Wakefield DS,Cyphert ST,Murray JF, et al.Understanding patient‐centered care in the context of total quality management and continuous quality improvement.Jt Comm J Qual Improv.1994;20(3):152161.
        22. Lee L,Levine J,Schulz H.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        23. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5:501505.
        24. Van Eaton EG,Horvath KD,Lober WB,Pellegrini CA.Organizing the transfer of patient care information: the development of a computerized resident sign‐out system.Surgery.2004;136(1):513.
        25. Van Eaton EG,Horvath KD,Lober WB,Rossini AJ,Pellegrini CA.A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours.J Am Coll Surg.2005;200:538545.
        26. Vidyarthi A.UCSFMC sign‐out needs assessment [personal communication].2007.
        27. Vidyarthi A,Auerbach A.Is 80 the cost of saving lives? Reduced duty hours, errors, and cost.J Gen Intern Med.2005;20:969970.
        28. Carty M,Smith C,Schnipper J.Intern curriculum: the impact of a focused training program on the process and content of sign‐out out patients. Harvard Medical School Education Day2004.
        29. Coiera E.When conversation is better than computation.J Am Med Inform Assoc.2000;7:277286.
        30. Coiera E,Tombs V.Communication behaviours in a hospital setting: an observational study.BMJ.1998;316:673676.
        31. Stead W,Miller R,Musen M,Hersh W.Integration and beyond: linking information from disparate sources and into workflow.J Am Med Inform Assoc.2000;7(2):135145.
        32. Lusk R.Update on the electronic medical record.Otolaryngol Clin North Am.2002;35:12231236, vii.
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        The delivery of safe, high‐quality care to hospitalized patients depends on effective communication among providers.1, 2 Inpatients may receive care from a number of specialists in addition to their primary hospital physicians, and each provider may practice in a group that transfers care of individual patients among its members. This issue is exacerbated in teaching hospitals because fellows, residents, and interns make frequent transfers of care because of work‐hour rules.3, 4 Finally, teams of physician providers making management decisions must effectively communicate with other members of the care team, such as nurses, dieticians, and social workers, who also may be part of a group practice involving transfers. A patient hospitalized for just a few days in a modern hospital may receive care from dozens of providers and be the subject of multiple transfers of care, or handoffs, that require effective communication. Therefore, as part of its 2006 National Patient Safety Goals,5 the Joint Commission on Accreditation of Health Care Organizations (JCAHO) now requires that each hospital implement a standardized, structured approach to transfers of care.

        Transfers of care have been shown to be a source of medical errors and adverse patient outcomes.2, 6, 7 In many cases, the critical information necessary to avert medical errors exists but is not available in real time to providers.6

        Traditionally, provider teams have relied on the patient chart, in concert with direct patient evaluation, to provide the information to guide decision making during a hospitalization. Unfortunately, the structure of the chart in most hospitals has evolved little over the past 80 years810 and remains organized so that information is more easily filed than retrieved, read, or summarized.811 Typically, electronic medical records (EMRs) mimic the appearance of paper records and include similar organizational flaws.12 As a result, many providers have created ad hoc informational systems, separate from the chart, designed to track a patient's progress over time and to facilitate transfers of care. These sign‐out systems, which are intended to complement verbal sign‐out between providers,1315 range in complexity from simple handwritten index cards16 to adapted spreadsheets, PDA systems,17, 18 and more complex data systems (eg, FileMaker Pro)19 and often contain crucial information not found elsewhere in the medical record.20, 21

        Although sign‐out systems are crucial to patient safety, they have several drawbacks. First, ad‐hoc informational systems may not be standardized, resulting in content and accuracy that vary among providers.22 These systems may fail to identify critical elements of a patient's condition, promoting ineffective communication and placing the patient at increased risk of adverse events.7, 13, 23

        These observations underscore the need for a standardized patient‐tracking instrument that can distill crucial patient information, enhance communication, support transfers, improve efficiency, and enhance continuity of patient care.

        We aimed to develop an integrated, problem‐based patient‐tracking tool as part of our hospital's EMR. The tool, SynopSIS, supports patient tracking, transfers of care (ie, sign‐outs), and daily rounds.

        METHODS

        Setting

        The study took place at a 547‐bed adult and pediatric tertiary‐care university‐based teaching hospital with 2 campuses at the University of California, San Francisco, Medical Center (UCSFMC).

        PROGRAM DESCRIPTION

        Development and Design

        A multidisciplinary team of practicing residents and attending physicians, information technology leaders, software engineers, and experts in medical communication and sign‐out developed the SynopSIS tool. We reviewed the literature to incorporate key design elements of other successfully implemented information transfer systems.24, 25

        We conducted a formal review of existing patient‐tracking and sign‐out systems at our hospital to characterize provider work practices, with an emphasis on the specific information requirements of different specialties. A needs assessment of current sign‐out processes at UCSFMC was conducted by personal interviews with a chief resident or representative of each of the 18 Accreditation Council of Graduate Medical Education (ACGME) accredited residency programs through the dean's office of Graduate Medical Education. This needs assessment revealed that the majority of the programs did not have a standardized mechanism for sign‐out. Although most did use a written format for sign‐out, the actual type of written format varied from handwritten cards to databases using a variety of programs including Filemaker Pro, Microsoft Excel, and Microsoft Word. When asked what could improve the sign‐out system for their program, they most often responded that it would be having a standardized computerized sign‐out system in the hospital.26

        During the design and pilot phase, we presented each SynopSIS function to an advisory committee of more than 50 trainees in medical, surgical, and pediatric general and subspecialty fields. Their input shaped the information content and presentation of our tool. In addition, we discussed the tool with the attending‐physician advisory group that oversees the implementation of clinical information systems in our hospital system.

        Conceptual Model

        We developed this conceptual model by integrating existing scholarship and input from stakeholders at our institution. First, we reviewed existing literature on documentation and transfers of care. Next, we conducted several focus group sessions with our EMR Residents' Advisory Group to conceptualize work flow and handoff needs for hospital physicians across specialties. We arrived at this model after several iterations of feedback from providers.

        SynopSIS maps patient data available in the EMR to each of the 3 main functions according to type of clinical decisions supported by that function (Fig. 1). For example, data needed for effective patient tracking, such as likely functional status, are required to make decisions over the course of a patient's hospitalization. Similarly, data needed for sign‐out are used to make decisions over the course of a shift, typically overnight; and data needed for morning rounds are used to make decisions for the day. Although the information required for each function overlaps considerably, there are specialized data elements unique to each function.

        Figure 1
        The 3 functions of the SynopSIS tool correspond to 3 levels of provider decision making: decisions about hospitalization, daily decisions, and overnight or on‐shift decisions. The area of overlap represents information crucial for all levels of decision making.

        Description of Functionality

        SynopSIS is integrated with our hospital's EMR, General Electric (GE) Centricity Enterprise. The physician interface for SynopSIS is shown in Figure 2. After selecting a patient from a list corresponding to a given inpatient service (eg, Medicine Team B), the user selects the menu option to view the SynopSIS screen, which provides an at a glance overview of the patient's current condition. Different fields on the screen support each of SynopSIS's 3 main functions. At the top, the patient's demographic and registration information is displayed, including name, location, age, medical record number, and attending physician. Below are fields viewable and editable by users of the EMR. The Admission Diagnosis/Course and Problem List fields support patient tracking and allow a receiving physician to understand the reason for the patient's admission, the overall course of the illness, and the current active problems. The problem list is entered by the primary hospital physician. The Anticipated Problems/To Do List field supports the sign‐out function from which providers can coordinate care‐related activities and make contingency plans for anticipated events. The patients' most recent laboratory results and vital signs are displayed on the lower left of the screen for easy reference during face‐to‐face physician sign‐outs. Finally, the CODE status, Allergies, and Medications fields allow efficient tracking of information. Temporarily, until the pharmacy component of the EMR goes into use, the primary hospital physician will enter and update the medications. When the pharmacy is linked to the EMR, medications will be added directly from the inpatient pharmacy records to the EMR‐linked sign‐out tool.

        Figure 2
        Providers would transfer care through a face‐to‐face discussion while viewing the data on‐screen using the SynopSIS tool. Note that these are not actual patient data but are simulated data for use in this example.

        This on‐screen SynopSIS view is distinct from the summary screen typically seen in EMRs, including vendor‐based and the Veterans' Affairs systems. For instance, the Veterans' Affairs summary screen incorporates clinical and nonclinical data, including demographic and payment information, upcoming appointments, and patient‐specific information such as allergies. Moreover, it is not editable by primary hospital physicians. Unlike a summary screen, which collates select patient information from other parts of the EMR, SynopSIS is specific to the current acute hospitalization and includes information not found elsewhere in the medical record.

        To support rounding, SynopSIS gathers and presents data from the EMR in a printed Rounds Report (Fig. 3). The report is generated for all patients assigned to an inpatient service (eg, Medicine Team B) and emphasizes clarity and brevity using a format validated in the medical literature.24, 25 Each patient's report covers one fourth of a standard 8‐by‐11‐inch landscape‐printed page. The top half of each of these quarter‐page patient reports displays data stored in SynopSIS's interface and summarizes the patient's illness and the course of that illness. The lower half displays vital signs, intake/output, and laboratory data over the 24 hours from the time of printing. The most recent value and the range over the previous 24 hours of all vital signs are displayed. Intake/output totals are listed together with a structured breakdown. Laboratory results for the past 24 hours are listed with the most immediate prior values, allowing providers to discern trends. We envision providers obtaining a rounds report on arrival each day before examining their patients.

        Figure 3
        Printed SynopSIS views give providers a portable summary of each patient, useful for rounding and for night‐shift providers. Note that these are not actual patient data but are simulated data for use in this example.

        Importantly, although SynopSIS is part of the patient's medical record, physician users may change or overwrite the data in any field. This ability is a critical feature of the toolthe focus is on providing an interpretable snapshot of the patient. Data may be removed as their importance lessens or as the patient's condition changes, which contrasts with unchangeable documentation geared for alternative purposes, such as billing or medical‐legal requirements. Deleted data are saved in the medical record and are viewable by audit.

        Program Evaluation

        We have planned a postimplementation evaluation for SynopSIS. Each of the 3 functions (patient tracking, rounding, and care transitions) will be assessed separately. We will explore rounding efficiency and quality by survey and through direct observation. We plan to assess the percentage of time spent on direct patient care versus gathering patient data during morning rounds. We adapted elements of SynopSIS from UWCores, an existing sign‐out application in place at the University of Washington.24, 25 In a randomized trial, UWCores was shown to improve indicators of quality of care (more time spent with patients on rounds, fewer patients missed on rounds) and rounding efficiency (less time prerounding and rounding).25 For evaluation, we plan to use a previously published instrument25 in an online survey of SynopSIS users to assess perceived changes in the quality of sign‐out, providerprovider communication, and patient continuity of care. We intend to measure daily use of SynopSIS by primary providers, covering providers, and consulting physicians in order to assess its impact on each patient's care plan. We hypothesize that primary hospital physicians will access SynopSIS at least 3 times daily: on arrival at the hospital, after rounding, and prior to handoffs. We also plan to investigate whether consulting physicians will view SynopSIS daily rather than obtaining patient data such as labs and vital signs from separate parts of the EMR. Finally, we hypothesize that SynopSIS may facilitate initiation of appropriate discharge planning earlier in a patient's hospital course because it is viewable by nursing, care management, and social work personnel. Importantly, we will implement SynopSIS after the EMR gains universal use at our hospital. We will then wait for a washout following the EMR implementation in order to avoid confounding with the effects of the EMR. We will then be able to separate the effects of this tool from the effects of the EMR. Our EMR does not offer a function comparable to the rounds report or sign‐out tool in SynopSIS.

        In addition to this quantitative evaluation process, we plan to solicit feedback from SynopSIS users in focus groups, including physicians at all levels of training as well as nonphysicians. We will use this information to revise SynopSIS according to the users' needs and to tailor the application to diverse specialty services.

        DISCUSSION

        Several systems have been developed to enhance communication among providers and to support the transfer of care of hospitalized patients.13, 14, 16, 19, 24, 25 We have developed a tool to support patient tracking, sign‐out, and rounding that incorporates key elements of previously designed systems and may improve communication among providers. SynopSIS helps to fulfill the 2006 JCAHO accreditation requirement for standardized communication for transfers of care when used with appropriate verbal communication, including an opportunity to ask and respond to questions.5 Research from other safety‐oriented industries recommends standardized information transfer, which SynopSIS will provide.20 What is innovative about SynopSIS is that it is not a stand‐alone system, but an integrated part of the EMR.

        Currently, fewer than 5% of hospitals have an electronic sign‐out tool linked to hospital information systems27; therefore, SynopSIS has great potential for dissemination. In technical terms, this tool was coded by GE and could be readily adopted by any other GE Centricity Enterprise customer. Moreover, the conceptual model, the design strategy, and the critical system elements should be relevant to effective patient tracking, sign‐out, and rounding across different IT platforms.

        Despite its strengths, the SynopSIS system has several limitations. First, appropriate transfer of care is a learned process that incorporates well‐described provider and system elements.15, 21, 2830 This tool cannot perform sign‐out; it makes up one part of an effective sign‐out process. As our institution implements SynopSIS, we will also proceed with educational efforts and infrastructure to improve the sign‐out process. Second, although data can be overwritten, prior screen versions are archived in the database. Because SynopSIS is part of the medical record, users may omit sensitive or clinically useful information because of medical‐legal concerns, such as sensitive family dynamics or patient behavioral issues that providers may be reluctant to document in the patient chart. Currently, such information is conveyed verbally during sign‐out. Third, as information gathering and transfer become more automated, informal person‐to‐person interactions among providers (eg, physicians and nurses) may erode. However, we expect that SynopSIS actually will enhance the quality of this communication because it places them on the same page. Finally, SynopSIS generates paper reports that must be disposed of in accordance with standards of patient confidentiality.

        We believe that SynopSIS will improve the quality of care through several mechanisms. Because this single‐screen summary will be available to all members of a patients' care team, it is possible that SynopSIS will enable providers to share management plans more readily. Although nursing and care management do not use SynopSIS for their own handoffs, they have clamored for the ability to view it. In addition, rotating providers can readily assume care of an unfamiliar patient. By automating data‐gathering tasks, SynopSIS may foster efficiency and increase time with patients during rounds. For trainee providers in particular, such increased efficiency should allow more time for education and alleviate some of the pressures of duty‐hour compliance. Most important, SynopSIS frees the EMR from emulating the historic paper chart as its method of supporting clinical work flow and communication. That paradigm does not harness the power of today's EMR databases and integration capabilities31 and creates extra work through interruptive work flow and redundant effort.32 With SynopSIS reengineering, instead of providers having to serve the needs of the chart, the chart serves the needs of providers and patients.

        Future clinical documentation and EMR systems should focus on provider work flow to improve quality and efficiency in patient care. Moreover, involving providers, including residents, in system design fosters innovation and optimally applies information technology to supporting clinical practice.

        Acknowledgements

        The authors acknowledge Harry Wong, Chutima Assapimonwait, and Vern Rogers for programming the application. Deborah G. Airo edited the manuscript.

        The delivery of safe, high‐quality care to hospitalized patients depends on effective communication among providers.1, 2 Inpatients may receive care from a number of specialists in addition to their primary hospital physicians, and each provider may practice in a group that transfers care of individual patients among its members. This issue is exacerbated in teaching hospitals because fellows, residents, and interns make frequent transfers of care because of work‐hour rules.3, 4 Finally, teams of physician providers making management decisions must effectively communicate with other members of the care team, such as nurses, dieticians, and social workers, who also may be part of a group practice involving transfers. A patient hospitalized for just a few days in a modern hospital may receive care from dozens of providers and be the subject of multiple transfers of care, or handoffs, that require effective communication. Therefore, as part of its 2006 National Patient Safety Goals,5 the Joint Commission on Accreditation of Health Care Organizations (JCAHO) now requires that each hospital implement a standardized, structured approach to transfers of care.

        Transfers of care have been shown to be a source of medical errors and adverse patient outcomes.2, 6, 7 In many cases, the critical information necessary to avert medical errors exists but is not available in real time to providers.6

        Traditionally, provider teams have relied on the patient chart, in concert with direct patient evaluation, to provide the information to guide decision making during a hospitalization. Unfortunately, the structure of the chart in most hospitals has evolved little over the past 80 years810 and remains organized so that information is more easily filed than retrieved, read, or summarized.811 Typically, electronic medical records (EMRs) mimic the appearance of paper records and include similar organizational flaws.12 As a result, many providers have created ad hoc informational systems, separate from the chart, designed to track a patient's progress over time and to facilitate transfers of care. These sign‐out systems, which are intended to complement verbal sign‐out between providers,1315 range in complexity from simple handwritten index cards16 to adapted spreadsheets, PDA systems,17, 18 and more complex data systems (eg, FileMaker Pro)19 and often contain crucial information not found elsewhere in the medical record.20, 21

        Although sign‐out systems are crucial to patient safety, they have several drawbacks. First, ad‐hoc informational systems may not be standardized, resulting in content and accuracy that vary among providers.22 These systems may fail to identify critical elements of a patient's condition, promoting ineffective communication and placing the patient at increased risk of adverse events.7, 13, 23

        These observations underscore the need for a standardized patient‐tracking instrument that can distill crucial patient information, enhance communication, support transfers, improve efficiency, and enhance continuity of patient care.

        We aimed to develop an integrated, problem‐based patient‐tracking tool as part of our hospital's EMR. The tool, SynopSIS, supports patient tracking, transfers of care (ie, sign‐outs), and daily rounds.

        METHODS

        Setting

        The study took place at a 547‐bed adult and pediatric tertiary‐care university‐based teaching hospital with 2 campuses at the University of California, San Francisco, Medical Center (UCSFMC).

        PROGRAM DESCRIPTION

        Development and Design

        A multidisciplinary team of practicing residents and attending physicians, information technology leaders, software engineers, and experts in medical communication and sign‐out developed the SynopSIS tool. We reviewed the literature to incorporate key design elements of other successfully implemented information transfer systems.24, 25

        We conducted a formal review of existing patient‐tracking and sign‐out systems at our hospital to characterize provider work practices, with an emphasis on the specific information requirements of different specialties. A needs assessment of current sign‐out processes at UCSFMC was conducted by personal interviews with a chief resident or representative of each of the 18 Accreditation Council of Graduate Medical Education (ACGME) accredited residency programs through the dean's office of Graduate Medical Education. This needs assessment revealed that the majority of the programs did not have a standardized mechanism for sign‐out. Although most did use a written format for sign‐out, the actual type of written format varied from handwritten cards to databases using a variety of programs including Filemaker Pro, Microsoft Excel, and Microsoft Word. When asked what could improve the sign‐out system for their program, they most often responded that it would be having a standardized computerized sign‐out system in the hospital.26

        During the design and pilot phase, we presented each SynopSIS function to an advisory committee of more than 50 trainees in medical, surgical, and pediatric general and subspecialty fields. Their input shaped the information content and presentation of our tool. In addition, we discussed the tool with the attending‐physician advisory group that oversees the implementation of clinical information systems in our hospital system.

        Conceptual Model

        We developed this conceptual model by integrating existing scholarship and input from stakeholders at our institution. First, we reviewed existing literature on documentation and transfers of care. Next, we conducted several focus group sessions with our EMR Residents' Advisory Group to conceptualize work flow and handoff needs for hospital physicians across specialties. We arrived at this model after several iterations of feedback from providers.

        SynopSIS maps patient data available in the EMR to each of the 3 main functions according to type of clinical decisions supported by that function (Fig. 1). For example, data needed for effective patient tracking, such as likely functional status, are required to make decisions over the course of a patient's hospitalization. Similarly, data needed for sign‐out are used to make decisions over the course of a shift, typically overnight; and data needed for morning rounds are used to make decisions for the day. Although the information required for each function overlaps considerably, there are specialized data elements unique to each function.

        Figure 1
        The 3 functions of the SynopSIS tool correspond to 3 levels of provider decision making: decisions about hospitalization, daily decisions, and overnight or on‐shift decisions. The area of overlap represents information crucial for all levels of decision making.

        Description of Functionality

        SynopSIS is integrated with our hospital's EMR, General Electric (GE) Centricity Enterprise. The physician interface for SynopSIS is shown in Figure 2. After selecting a patient from a list corresponding to a given inpatient service (eg, Medicine Team B), the user selects the menu option to view the SynopSIS screen, which provides an at a glance overview of the patient's current condition. Different fields on the screen support each of SynopSIS's 3 main functions. At the top, the patient's demographic and registration information is displayed, including name, location, age, medical record number, and attending physician. Below are fields viewable and editable by users of the EMR. The Admission Diagnosis/Course and Problem List fields support patient tracking and allow a receiving physician to understand the reason for the patient's admission, the overall course of the illness, and the current active problems. The problem list is entered by the primary hospital physician. The Anticipated Problems/To Do List field supports the sign‐out function from which providers can coordinate care‐related activities and make contingency plans for anticipated events. The patients' most recent laboratory results and vital signs are displayed on the lower left of the screen for easy reference during face‐to‐face physician sign‐outs. Finally, the CODE status, Allergies, and Medications fields allow efficient tracking of information. Temporarily, until the pharmacy component of the EMR goes into use, the primary hospital physician will enter and update the medications. When the pharmacy is linked to the EMR, medications will be added directly from the inpatient pharmacy records to the EMR‐linked sign‐out tool.

        Figure 2
        Providers would transfer care through a face‐to‐face discussion while viewing the data on‐screen using the SynopSIS tool. Note that these are not actual patient data but are simulated data for use in this example.

        This on‐screen SynopSIS view is distinct from the summary screen typically seen in EMRs, including vendor‐based and the Veterans' Affairs systems. For instance, the Veterans' Affairs summary screen incorporates clinical and nonclinical data, including demographic and payment information, upcoming appointments, and patient‐specific information such as allergies. Moreover, it is not editable by primary hospital physicians. Unlike a summary screen, which collates select patient information from other parts of the EMR, SynopSIS is specific to the current acute hospitalization and includes information not found elsewhere in the medical record.

        To support rounding, SynopSIS gathers and presents data from the EMR in a printed Rounds Report (Fig. 3). The report is generated for all patients assigned to an inpatient service (eg, Medicine Team B) and emphasizes clarity and brevity using a format validated in the medical literature.24, 25 Each patient's report covers one fourth of a standard 8‐by‐11‐inch landscape‐printed page. The top half of each of these quarter‐page patient reports displays data stored in SynopSIS's interface and summarizes the patient's illness and the course of that illness. The lower half displays vital signs, intake/output, and laboratory data over the 24 hours from the time of printing. The most recent value and the range over the previous 24 hours of all vital signs are displayed. Intake/output totals are listed together with a structured breakdown. Laboratory results for the past 24 hours are listed with the most immediate prior values, allowing providers to discern trends. We envision providers obtaining a rounds report on arrival each day before examining their patients.

        Figure 3
        Printed SynopSIS views give providers a portable summary of each patient, useful for rounding and for night‐shift providers. Note that these are not actual patient data but are simulated data for use in this example.

        Importantly, although SynopSIS is part of the patient's medical record, physician users may change or overwrite the data in any field. This ability is a critical feature of the toolthe focus is on providing an interpretable snapshot of the patient. Data may be removed as their importance lessens or as the patient's condition changes, which contrasts with unchangeable documentation geared for alternative purposes, such as billing or medical‐legal requirements. Deleted data are saved in the medical record and are viewable by audit.

        Program Evaluation

        We have planned a postimplementation evaluation for SynopSIS. Each of the 3 functions (patient tracking, rounding, and care transitions) will be assessed separately. We will explore rounding efficiency and quality by survey and through direct observation. We plan to assess the percentage of time spent on direct patient care versus gathering patient data during morning rounds. We adapted elements of SynopSIS from UWCores, an existing sign‐out application in place at the University of Washington.24, 25 In a randomized trial, UWCores was shown to improve indicators of quality of care (more time spent with patients on rounds, fewer patients missed on rounds) and rounding efficiency (less time prerounding and rounding).25 For evaluation, we plan to use a previously published instrument25 in an online survey of SynopSIS users to assess perceived changes in the quality of sign‐out, providerprovider communication, and patient continuity of care. We intend to measure daily use of SynopSIS by primary providers, covering providers, and consulting physicians in order to assess its impact on each patient's care plan. We hypothesize that primary hospital physicians will access SynopSIS at least 3 times daily: on arrival at the hospital, after rounding, and prior to handoffs. We also plan to investigate whether consulting physicians will view SynopSIS daily rather than obtaining patient data such as labs and vital signs from separate parts of the EMR. Finally, we hypothesize that SynopSIS may facilitate initiation of appropriate discharge planning earlier in a patient's hospital course because it is viewable by nursing, care management, and social work personnel. Importantly, we will implement SynopSIS after the EMR gains universal use at our hospital. We will then wait for a washout following the EMR implementation in order to avoid confounding with the effects of the EMR. We will then be able to separate the effects of this tool from the effects of the EMR. Our EMR does not offer a function comparable to the rounds report or sign‐out tool in SynopSIS.

        In addition to this quantitative evaluation process, we plan to solicit feedback from SynopSIS users in focus groups, including physicians at all levels of training as well as nonphysicians. We will use this information to revise SynopSIS according to the users' needs and to tailor the application to diverse specialty services.

        DISCUSSION

        Several systems have been developed to enhance communication among providers and to support the transfer of care of hospitalized patients.13, 14, 16, 19, 24, 25 We have developed a tool to support patient tracking, sign‐out, and rounding that incorporates key elements of previously designed systems and may improve communication among providers. SynopSIS helps to fulfill the 2006 JCAHO accreditation requirement for standardized communication for transfers of care when used with appropriate verbal communication, including an opportunity to ask and respond to questions.5 Research from other safety‐oriented industries recommends standardized information transfer, which SynopSIS will provide.20 What is innovative about SynopSIS is that it is not a stand‐alone system, but an integrated part of the EMR.

        Currently, fewer than 5% of hospitals have an electronic sign‐out tool linked to hospital information systems27; therefore, SynopSIS has great potential for dissemination. In technical terms, this tool was coded by GE and could be readily adopted by any other GE Centricity Enterprise customer. Moreover, the conceptual model, the design strategy, and the critical system elements should be relevant to effective patient tracking, sign‐out, and rounding across different IT platforms.

        Despite its strengths, the SynopSIS system has several limitations. First, appropriate transfer of care is a learned process that incorporates well‐described provider and system elements.15, 21, 2830 This tool cannot perform sign‐out; it makes up one part of an effective sign‐out process. As our institution implements SynopSIS, we will also proceed with educational efforts and infrastructure to improve the sign‐out process. Second, although data can be overwritten, prior screen versions are archived in the database. Because SynopSIS is part of the medical record, users may omit sensitive or clinically useful information because of medical‐legal concerns, such as sensitive family dynamics or patient behavioral issues that providers may be reluctant to document in the patient chart. Currently, such information is conveyed verbally during sign‐out. Third, as information gathering and transfer become more automated, informal person‐to‐person interactions among providers (eg, physicians and nurses) may erode. However, we expect that SynopSIS actually will enhance the quality of this communication because it places them on the same page. Finally, SynopSIS generates paper reports that must be disposed of in accordance with standards of patient confidentiality.

        We believe that SynopSIS will improve the quality of care through several mechanisms. Because this single‐screen summary will be available to all members of a patients' care team, it is possible that SynopSIS will enable providers to share management plans more readily. Although nursing and care management do not use SynopSIS for their own handoffs, they have clamored for the ability to view it. In addition, rotating providers can readily assume care of an unfamiliar patient. By automating data‐gathering tasks, SynopSIS may foster efficiency and increase time with patients during rounds. For trainee providers in particular, such increased efficiency should allow more time for education and alleviate some of the pressures of duty‐hour compliance. Most important, SynopSIS frees the EMR from emulating the historic paper chart as its method of supporting clinical work flow and communication. That paradigm does not harness the power of today's EMR databases and integration capabilities31 and creates extra work through interruptive work flow and redundant effort.32 With SynopSIS reengineering, instead of providers having to serve the needs of the chart, the chart serves the needs of providers and patients.

        Future clinical documentation and EMR systems should focus on provider work flow to improve quality and efficiency in patient care. Moreover, involving providers, including residents, in system design fosters innovation and optimally applies information technology to supporting clinical practice.

        Acknowledgements

        The authors acknowledge Harry Wong, Chutima Assapimonwait, and Vern Rogers for programming the application. Deborah G. Airo edited the manuscript.

        References
        1. Pizzi L,Goldfarb N,Nash D.Crew resource managment and its applications in medicine. Making health care safer: A critical analysis of patient safety practices. Evidence report/technology assessment2001. AHRQ publication 01‐E058(43).
        2. Wachter R,Shojania K.Internal Bleeding: The Truth behind America's Terrifying Epidemic of Medical Mistakes.New York, NY:Rugged Land;2004.
        3. Philibert I,Friedmann P,Williams W.New requirements for resident duty hours.JAMA.2002;288:11121124.
        4. Laine C,Goldman L,Soukup JR,Hayes JG.The impact of a regulation restricting medical house staff working hours on the quality of patient care.JAMA.1993;269:374378.
        5. Joint Commission 2006 National Patient Safety Goals Implementation Expectations.2005. Available at: http://www.jcaho.org/accredited+organizations/patient+safety/06_npsg_ie.pdf.
        6. Cook RI,Render M,Woods DD.Gaps in the continuity of care and progress on patient safety.BMJ.2000;320:791794.
        7. Petersen LA,Brennan TA,O'Neil AC,Cook EF,Lee TH.Does housestaff discontinuity of care increase the risk for preventable adverse events?Ann Intern Med.1994;121:866872.
        8. Weed L.The problem‐oriented record—its organizing principles and its structure.League Exch.1975 (103):36.
        9. Weed LJ.The problem oriented record as a basic tool in medical education, patient care and clinical research.Ann Clin Res.1971;3(3):131134.
        10. Weed LL.Medical records, patient care, and medical education.Ir J Med Sci.1964;17:271282.
        11. Payne TH,Gaster B,Mineer D, et al.Creating a note classification scheme for a multi‐institutional electronic medical record.AMIA Annu Symp Proc.2003:968.
        12. Embi P,Yackel T,Logan J,Bowen J,Cooney T,Gorman P.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11:300309.
        13. Petersen LA,Orav EJ,Teich JM,O'Neil AC,Brennan TA.Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events.Jt Comm J Qual Improv.1998;24(2):7787.
        14. Ram R,Block B.Signing out patients for off‐hours coverage: comparison of manual and computer‐aided methods.Proc Annu Symp Comput Appl Med Care.1992:114118.
        15. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1:257266.
        16. Lee LH,Levine JA,Schultz HJ.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        17. Young RJ,Horsley SD,McKenna M.The potential role of IT in supporting the work of junior doctors.J R Coll Physicians Lond.2000;34:366370.
        18. Luo J,Hales R,Hilty D,Brennan C.Electronic Sign‐out using a personal digital assistant.Psychiatr Serv.2001;52(2):173174.
        19. Frazer TS.“Doctor's notes”: a computerized method for managing inpatient care.Fam Med.1988;20:223224.
        20. Patterson ES,Roth EM,Woods DD,Chow R,Gomes JO.Handoff strategies in settings with high consequences for failure: lessons for health care operations.Int J Qual Health Care.2004;16(2):125132.
        21. Wakefield DS,Cyphert ST,Murray JF, et al.Understanding patient‐centered care in the context of total quality management and continuous quality improvement.Jt Comm J Qual Improv.1994;20(3):152161.
        22. Lee L,Levine J,Schulz H.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        23. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5:501505.
        24. Van Eaton EG,Horvath KD,Lober WB,Pellegrini CA.Organizing the transfer of patient care information: the development of a computerized resident sign‐out system.Surgery.2004;136(1):513.
        25. Van Eaton EG,Horvath KD,Lober WB,Rossini AJ,Pellegrini CA.A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours.J Am Coll Surg.2005;200:538545.
        26. Vidyarthi A.UCSFMC sign‐out needs assessment [personal communication].2007.
        27. Vidyarthi A,Auerbach A.Is 80 the cost of saving lives? Reduced duty hours, errors, and cost.J Gen Intern Med.2005;20:969970.
        28. Carty M,Smith C,Schnipper J.Intern curriculum: the impact of a focused training program on the process and content of sign‐out out patients. Harvard Medical School Education Day2004.
        29. Coiera E.When conversation is better than computation.J Am Med Inform Assoc.2000;7:277286.
        30. Coiera E,Tombs V.Communication behaviours in a hospital setting: an observational study.BMJ.1998;316:673676.
        31. Stead W,Miller R,Musen M,Hersh W.Integration and beyond: linking information from disparate sources and into workflow.J Am Med Inform Assoc.2000;7(2):135145.
        32. Lusk R.Update on the electronic medical record.Otolaryngol Clin North Am.2002;35:12231236, vii.
        References
        1. Pizzi L,Goldfarb N,Nash D.Crew resource managment and its applications in medicine. Making health care safer: A critical analysis of patient safety practices. Evidence report/technology assessment2001. AHRQ publication 01‐E058(43).
        2. Wachter R,Shojania K.Internal Bleeding: The Truth behind America's Terrifying Epidemic of Medical Mistakes.New York, NY:Rugged Land;2004.
        3. Philibert I,Friedmann P,Williams W.New requirements for resident duty hours.JAMA.2002;288:11121124.
        4. Laine C,Goldman L,Soukup JR,Hayes JG.The impact of a regulation restricting medical house staff working hours on the quality of patient care.JAMA.1993;269:374378.
        5. Joint Commission 2006 National Patient Safety Goals Implementation Expectations.2005. Available at: http://www.jcaho.org/accredited+organizations/patient+safety/06_npsg_ie.pdf.
        6. Cook RI,Render M,Woods DD.Gaps in the continuity of care and progress on patient safety.BMJ.2000;320:791794.
        7. Petersen LA,Brennan TA,O'Neil AC,Cook EF,Lee TH.Does housestaff discontinuity of care increase the risk for preventable adverse events?Ann Intern Med.1994;121:866872.
        8. Weed L.The problem‐oriented record—its organizing principles and its structure.League Exch.1975 (103):36.
        9. Weed LJ.The problem oriented record as a basic tool in medical education, patient care and clinical research.Ann Clin Res.1971;3(3):131134.
        10. Weed LL.Medical records, patient care, and medical education.Ir J Med Sci.1964;17:271282.
        11. Payne TH,Gaster B,Mineer D, et al.Creating a note classification scheme for a multi‐institutional electronic medical record.AMIA Annu Symp Proc.2003:968.
        12. Embi P,Yackel T,Logan J,Bowen J,Cooney T,Gorman P.Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.J Am Med Inform Assoc.2004;11:300309.
        13. Petersen LA,Orav EJ,Teich JM,O'Neil AC,Brennan TA.Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events.Jt Comm J Qual Improv.1998;24(2):7787.
        14. Ram R,Block B.Signing out patients for off‐hours coverage: comparison of manual and computer‐aided methods.Proc Annu Symp Comput Appl Med Care.1992:114118.
        15. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1:257266.
        16. Lee LH,Levine JA,Schultz HJ.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        17. Young RJ,Horsley SD,McKenna M.The potential role of IT in supporting the work of junior doctors.J R Coll Physicians Lond.2000;34:366370.
        18. Luo J,Hales R,Hilty D,Brennan C.Electronic Sign‐out using a personal digital assistant.Psychiatr Serv.2001;52(2):173174.
        19. Frazer TS.“Doctor's notes”: a computerized method for managing inpatient care.Fam Med.1988;20:223224.
        20. Patterson ES,Roth EM,Woods DD,Chow R,Gomes JO.Handoff strategies in settings with high consequences for failure: lessons for health care operations.Int J Qual Health Care.2004;16(2):125132.
        21. Wakefield DS,Cyphert ST,Murray JF, et al.Understanding patient‐centered care in the context of total quality management and continuous quality improvement.Jt Comm J Qual Improv.1994;20(3):152161.
        22. Lee L,Levine J,Schulz H.Utility of a standardized sign‐out card for new medical interns.J Gen Intern Med.1996;11:753755.
        23. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5:501505.
        24. Van Eaton EG,Horvath KD,Lober WB,Pellegrini CA.Organizing the transfer of patient care information: the development of a computerized resident sign‐out system.Surgery.2004;136(1):513.
        25. Van Eaton EG,Horvath KD,Lober WB,Rossini AJ,Pellegrini CA.A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours.J Am Coll Surg.2005;200:538545.
        26. Vidyarthi A.UCSFMC sign‐out needs assessment [personal communication].2007.
        27. Vidyarthi A,Auerbach A.Is 80 the cost of saving lives? Reduced duty hours, errors, and cost.J Gen Intern Med.2005;20:969970.
        28. Carty M,Smith C,Schnipper J.Intern curriculum: the impact of a focused training program on the process and content of sign‐out out patients. Harvard Medical School Education Day2004.
        29. Coiera E.When conversation is better than computation.J Am Med Inform Assoc.2000;7:277286.
        30. Coiera E,Tombs V.Communication behaviours in a hospital setting: an observational study.BMJ.1998;316:673676.
        31. Stead W,Miller R,Musen M,Hersh W.Integration and beyond: linking information from disparate sources and into workflow.J Am Med Inform Assoc.2000;7(2):135145.
        32. Lusk R.Update on the electronic medical record.Otolaryngol Clin North Am.2002;35:12231236, vii.
        Issue
        Journal of Hospital Medicine - 2(5)
        Issue
        Journal of Hospital Medicine - 2(5)
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        SynopSIS: Integrating physician sign‐out with the electronic medical record
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        SynopSIS: Integrating physician sign‐out with the electronic medical record
        Legacy Keywords
        sign‐out, handoffs, electronic medical record, work hours
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        Strategies for a Safe and Effective Resident Sign‐Out

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        Managing discontinuity in academic medical centers: Strategies for a safe and effective resident sign‐out

        Modern‐day continuity of patient care in teaching hospitals, once remarkably high because of a cadre of sleep‐deprived residents, is now peppered with breaks, each accompanied by the transfer of patient care responsibility from one resident to another; a process often referred to as a handoff. Such transitions have long been a part of medical practice but have recently received increased attention because of restrictions in the duty hours of house staff. In July 2003 the Accreditation Council for Graduate Medical Education (ACGME) mandated reduced duty hours for all trainees in hopes of improving resident education and well‐being and patient safety.1 In fact, some studies have shown improved resident well‐being2 and fewer medical errors with reductions in duty hours,3, 4 but the growing consensus about the negative consequences of resident fatigue on patient safety has been accompanied by parallel concerns about the potential for information loss with each break in the continuity of care.5, 6

        Although the tradeoff of increased discontinuity of care for fewer hours worked is sometimes characterized as an unintended consequence of duty hour regulations, it is in fact predictable and essential. As individuals work fewer hours, discontinuity must necessarily increase (assuming 24‐hour coverage).7 The extent to which this occurs may vary, but the link is consistent. At the University of California, San Francisco (UCSF), for example, we found that compliance with new duty hour requirements for internal medicine resulted in an average of 15 handoffs per patient during a 5‐day hospitalization. Each individual intern was involved in more than 300 handoffs in an average month‐long rotation, an increase of 40% since system changes were introduced to decrease duty hours. We found similar increases at Brigham and Women's Hospital (BWH) and the University of Chicago. Because U.S. teaching hospitals care for more than 6 million patients each year,8 the impact of these handoffs on the quality and efficiency of care is tremendous.

        Discontinuity of care is currently managed by sign‐out, or the transfer of patient information from one physician to another. Recognizing the importance of information transfer at these vulnerable transition times for patients, the Joint Commission on Accreditation of Hospital Organizations (JCAHO) issued the 2006 National Patient Safety Goal 2E: Implement a standardized approach to hand off communications, including an opportunity to ask and respond to questions.9 Hospitals have little data to draw on to determine how to comply with this mandate and even less data to guide them in how to achieve its intended goals of improving communication and thus patient safety.

        In an effort to better understand sign‐outs and ways to improve this process for house staff on in‐patient services, we reviewed data from the fields of aviation, communications, systems engineering, and human factors research, and we also searched the medical literature using key words pass‐off, handoff, sign‐out, duty hours, work hours, and discontinuity of care and MeSH headings Continuity of Patient Care Internship and Residency/*organization & administration, Personnel Staffing and Scheduling/*organization & administration, and Quality of Health Care. We also searched the websites of the Agency of Healthcare Quality and Research and the National Patient Safety Foundation. On the basis of these reviews, our experiences as hospitalist medical educators organizing resident sign‐out efforts at the University of California, San Francisco, the University of Chicago, and Brigham and Women's Hospital, and our efforts leading national training sessions on sign‐outs at the Society of General Internal Medicine (2004 and 2005), the Society of Hospital Medicine (2004), and the Association of Program Directors in Internal Medicine (2005, 2006), we propose a set of best practices regarding the content and process of sign‐out in an effort to improve communication between residents caring for hospitalized patients, assist programs in building safe and effective sign‐out systems, and improve the quality of patient care.

        Effects of Discontinuity on Patient Safety

        Research on the effects of discontinuity of care, although limited, suggests it has a negative impact on patient safety. In a study that investigated the institution of code 405 (the regulation that reduced duty hours in New York State), researchers found that the presumed increase in discontinuity with decreased duty hours resulted in delayed test ordering and an increased number of hospital complications.10 Another study found that the number of potentially preventable adverse events doubled when patients were under the care of a physician from a nonprimary team (eg, the cross‐covering intern).11 Studies have also linked resident discontinuity with longer length of stay, increased laboratory testing, and increased medication errors.12, 13

        Managing Discontinuity: Sign‐Out as the Means of Information Transfer

        In theory, more effective sign‐out systems should mitigate the potential for patient harm, but there is little in the literature describing current effective sign‐out practices or the best ways to design and implement such systems in the health care field. Examining information transfer mechanisms used in fields outside health care can assist in developing these systems.

        Information Transfer in Other Industries

        Although there is a paucity of data on sign‐out in the medical literature, information transfer has been the subject of substantial research in other industries in which safety depends on effective communication.

        Aviation, for example, created systems and processes to improve handoff communication in response to accidents linked to failures in information transfer. One example, the 1977 collision of 2 747s on an airport runway in Tenerife, the Canary Islands, occurred after a garbled transmission from an air traffic controller to the cockpit of one of the aircraft. It was determined that a culture of adherence to a steep hierarchy prevented subordinates from questioning the captain's mistaken certainty that a runway was clear,14 an erroneous belief that was the basis for his decision to continue the aircraft on its course, resulting in its collision with the other airplane.

        Subsequently, commercial aviation designed systems that standardized and formalized the process of information transfer and improved teamwork and coordination. These interventions were developed on the basis of detailed observations of cockpit interactions, reviews of communication errors, and focus groups.15 Because of these efforts, today's pilots use standardized checklists to transfer information content, communicate at designated times in specific undistracted environments, and use standard language and read‐backs to enhance understanding.16 The result has been a remarkable decrease in the risk of aviation crashes, one that most experts attribute in large part to these efforts to improve communication.17

        Observation of how communication occurs in other high‐risk industries has informed the arena of effective information transfer. For example, direct observation of information transfer at NASA, in nuclear power plants, and in the railway industry identified specific strategies for effective handoffs/sign‐outs such as standardizing the information transferred, ensuring information is up to date, limiting interruptions, and having a structured face‐to‐face verbal interchange.18

        Other strategies noted to be effective in diminishing errors are the use of a standardized phonetic alphabet to ensure that information is correctly heard and understood4 and having interactive verbal communication occur at a whiteboard.19

        Information Transfer in Health Care

        Those in the discipline of nursing have vast experience in the transfer of patient care information. The sign‐out process employed by nurses includes face‐to‐face discussions, typed information, and, most commonly, taped verbal communication.20 Interestingly, this process has not been subject to detailed scrutiny, and there is little information in the literature about best practices in sign‐out. Most articles in the literature on nursing handoffs are ethnographic descriptions of patient care responsibilities,21 on the basis of which, the authors advocate standardization of the information to be transferred, formalization of the channel used to communicate, and attention to increasing a culture of professionalism during sign‐out in order to improve efficiency.20, 22

        There is little in the literature on transfer of care among physicians. Improvements in sign‐out have been suggested as part of broad strategies, such as increased training and information technology support,4, 7, 23, 24 and specific strategies have been offered such as managing barriers to communication, including specific types of data when transferring care,25 and involving nurses and senior physicians in sign‐outs.26 Specific outcomes data in this area have focused primarily on the use of computerized systems to improve information transfer. For example, the use of a computerized sign‐out system at Brigham and Women's Hospital (BWH), linked to the hospital's information system to ensure up‐to‐date information on patient demographics, medications, and laboratory values, has resulted in fewer errors,27 as have other similar systems.28 At the University of Washington, use of a similarly linked computerized sign‐out system resulted in fewer patients being missed on rounds and improvement in the quality of sign‐out and continuity of care according to resident self‐reports.29 Unfortunately, fewer than 10% of hospitals have such integrated hospitalwide information systems to support the sign‐out function.30

        It has been noted that verbal communication, in concert with advances in technological communication, is important in information transfer in health care,18, 31 especially in emergent or urgent conditions.32 For example, eliminating the phoned‐in report from the lab to the ER and replacing it with delivery by an electronic reporting system lacking verbal communicationresulted in 45% of emergent lab results going unchecked.32 Structured verbal communication tools have been efficacious in improving information transfer outside the formal sign‐outfor example, read‐backs, which reduced errors in the reporting of critical laboratory values,33 and the SBAR (situation, background, assessment, recommendation) tool (designed to frame the transfer of critical information), which improved physician and nurse patient care information transfer in the in‐patient setting of the Kaiser Permanente health system.34

        In focus groups and in response to formal and informal surveys, residents at our 3 sites suggested inclusion of the following information, provided in writing and orally, to improve sign‐outs: up‐to‐date administrative information (eg, room number, primary care physician); patient's recent cognitive or cardiopulmonary status; problems the patient had already experienced and treatments previously tried, both successfully and unsuccessfully; patient's code status and discussions on level of care; test results or consultation recommendations that were likely to come back while covering the patient and what to do with the results; and relevant psychosocial information (eg, complex family dynamics).35

        The Current Practice of Sign‐Out

        In examining sign‐outs at our 3 institutions, we found them to be unstructured and unstandardized. From discussion with faculty participating in national workshops on sign‐out, we found that most sign‐outs are conducted by interns, usually with little or no formal training. Templates, checklists, or other methods to standardize the content of the information transferred were rarely used.

        We also noted that the vehicle for written sign‐out is highly variable. At UCSF, different residency training programs used a variety of modalities for written sign‐outs, including index cards, Excel spreadsheets, Word documents, and loose sheets of paper. Recently, the UCSF Department of Medicine designed a simple database (on Filemaker Pro) that allows members of the house staff to update their sign‐out information, share it with other house staff and nurses, and access it at locations throughout the hospital (Fig. 1). Although this database is not yet linked to the hospital information system (planned for 2006), anecdotally resident satisfaction with sign‐out has vastly improved since its implementation. The cost of design and implementation was approximately $10,000. At the University of Chicago, interns used Microsoft Word to create sign‐out sheets containing patient summaries to transfer information. However, during structured interviews, 95% of the interns reported that these sheets were frequently lost or misplaced.7 Although medicine residents at BWH use a computerized system to produce sign‐out sheets, this system did not guarantee complete and structured information. For example, a survey at BWH found that 56% of cross‐covering residents said that when paged about a patient overnight, the relevant information needed to care for that patient was present less than half the time; and 27% of residents reported being paged more than 3 times in the previous 2 weeks about a test result or consultant recommendation that they did not know was pending.36

        Figure 1
        UCSF Filemaker Pro written sign‐out vehicle.

        The process of sign‐out also varied across disciplines and institutions. From our experiences at our sites and at the sites of faculty nationally, we found limited standardization about whether sign‐out was verbal, the data transmitted, and the setting in which it was transmitted. In fact, at UCSF most residents signed out verbally on the fly, wherever and whenever they could find the cross‐coverage intern. At BWH, only 37% of residents said that sign‐out occurred in a quiet place most of the time, and only 52% signed out on every patient both orally and in writing.36 At the University of Chicago, the sign‐out process was characterized by outright failures in communication because of omission of needed information (ie, medications, active or anticipated medical problems, etc.) or by failure‐prone communication (ie, lack of face‐to‐face communication, illegible writing). These failures often led to uncertainty in making patient care decisions, potentially resulting in inefficient or suboptimal care.35

        Strategies for Safe and Effective Sign‐Out

        Given the current landscape of variability in sign‐outs, the recognition that information lost during sign‐out may result in harm to patients, and evidence of improvements in information transfer in areas outside health care, we aimed to develop mechanisms to improve the sign‐out process for residents working in a hospital setting. These strategies are based on our review of the existing literature supplemented by our experiences at our 3 institutions.

        Content of Sign‐Out

        The elements of content necessary for safe and effective sign‐out can be divided into 5 broad categories (Table 1), contained in the mnemonic ANTICipate: Administrative information, New clinical information, specific Tasks to be performed, assessment of severity of Illness, and Contingency plans or anticipated problems (Table 1, Fig. 2).

        Checklist for Elements of a Safe and Effective Written Sign‐outANTICipate
        Administrative data
        □ Patient name, age, sex
        □ Medical record number
        □ Room number
        □ Admission date
        □ Primary inpatient medical team, primary care physician
        □ Family contact information
        New information (clinical update)
        □ Chief complaint, brief HPI, and diagnosis (or differential diagnosis)
        □ Updated list of medications with doses, updated allergies
        □ Updated, brief assessment by system/problem, with dates
        □ Current baseline status (eg, mental status, cardiopulmonary, vital signs, especially if abnormal but stable)
        □ Recent procedures and significant events
        Tasks (what needs to be done)
        □ Specific, using if‐then statements
        □ Prepare cross‐coverage (eg, patient consent for blood transfusion)
        □ Alert to incoming information (eg, study results, consultant recommendations), and what action, if any, needs to be taken during the cross‐coverage
        Illness
        □ Is the patient sick?
        Contingency planning/Code status
        □ What may go wrong and what to do about it
        □ What has or has not worked before (eg, responds to 40 mg IV furosemide)
        □ Difficult family or psychosocial situations
        □ Code status, especially recent changes or family discussions
        Figure 2
        Example of a written sign‐out.

        Several general points about this list should be noted. First, the sign‐out content is not meant to replace the chart. The information included reflects the goal of a sign‐out, namely, to provide enough information to allow for a safe transition in patient care. Information we believe is not essential to the sign‐out includes: a complete history and physical exam from the day of admission, a list of tasks already completed, and data necessary only to complete a discharge summary.

        Sign‐out must be also be a closed loopthe process of signing in is as important as the process of signing out. This usually entails members of the primary team obtaining information from the cross‐covering physician when they resume care of the patient. The information conveyed in this case is different and includes details on events during cross‐coverage such as: 1) time called to assess patient; 2) reason for call; 3) a brief assessment of the patient, including vital signs; 4) actions taken, for example, medications given and tests ordered; and 5) rationale for those actions. Some of this information may also be included in the chart as an event note (see Fig. 3).

        Figure 3
        Example of patient event note.

        The Vehicle for Sign‐Out

        We recommend a computer‐assisted vehicle for patient information transfer. Ideally, this would be linked to the hospital information system to ensure accurate and up‐to‐date information Easy access to the computerized sign‐out is essential (eg, using a hospitalwide computer system, shared hard drive service, intranet, or PDA linked to the computer system), and it should be customizable for the varied needs of different services and departments. The system should have templates to standardize the content of sign‐out, contain robust backup systems, and be HIPAA compliant (ie, restrict access to required health care personnel). However, the perfect should not be the enemy of the good: systems that do not meet these criteria may still help to protect patients by providing legible, predictable, and accessible information.

        Sign‐Out Processes

        Verbal communication.

        Although electronic solutions can facilitate the standardization of written content, face‐to‐face verbal communication adds additional value.19 We recommend that each patient be reviewed separately. Identification of each patient verbally ensures that those engaged in the sign‐out are discussing the same patient. Reiterating the major medical problems gives a snapshot of the patient and frames the sign‐out. The to‐do list, the list of tasks that the cross‐cover resident needs to complete during cross coverage, should be specific and articulated as if, then statements (eg, if the urine output is less than 1 L, then give 40 mg of IV furosemide). The receiver of sign‐out should read back to the person giving the sign‐out each item on the to‐do list (eg, So, I should check the ins and outs at about 10:00 pm, and give 40 of furosemide if the patient is not 1 L negative, right?).

        Anticipated problems should also be verbally communicated to promote a dialogue. Points that cannot be adequately transferred in the written sign‐out are particularly important to transmit verbally. Examples include previous code discussions, unusual responses to treatment, and psychosocial and family issues. When delivering verbal sign‐out, it is important to consider the a priori knowledge of the recipient. How much knowledge about a patient is already shared between the outgoing and incoming physicians and the level of experience of the physicians may affect the extent to which information needs be transmitted.37 For instance, 2 experienced physicians who already have been working to cover the same patient will likely have an abbreviated discussion, in contrast to the lengthier sign‐out necessary if the outgoing and incoming physicians are interns, and the incoming intern has no prior knowledge of the patient. Similarly, it is likely the level of detail transmitted will need to be greater during a permanent transfer of patient care (ie, at the end of a resident's rotation) than during a brief, temporary transition (eg, overnight coverage).

        The challenges of a busy inpatient service may preclude a complete verbal sign‐out for all patients; we contend, though, it is best to use these practices to the extent possible, especially for patients with treatment plans in flux, those whose status is tenuous, and those who have anticipated changes in status during cross‐coverage. One tool that may be effectively used in signing out such patients is the SBAR tool, according to which a brief description of the situation is given, followed by the background and the physician's specific assessment and complete recommendation.38 For example, a resident signing out might begin by stating, I have 18 patients to sign‐out to you. I'm going to describe 6 active patients in detail. Twelve others are fairly stable, and I will give you basic information about them, and the details are in the written sign‐out. One patient has a plan in flux. The situation is Mr. S. is having trouble breathing, the background is that he has both CHF and COPD, my assessment is that this is more cardiac than pulmonary, and I recommend that you see him first and discuss with the cardiology consultant. Using the tools described here (Table 2), a sign‐out of 15 patients of variable acuity could be verbally signed out in less than 10 minutes.

        Checklist for Verbal Communication During Sign‐Out: The Who, What, Where, When, and How
        WHO should participate in the sign‐out process?
        □ Outgoing clinician primarily responsible for patient's care
        □ Oncoming clinician who will be primarily responsible for patient's care (avoid passing this task to someone else, even if busy)
        □ Consider supervision by experienced clinicians if early in training
        WHAT content needs to be verbally communicated?
        Use situation briefing model, or SBAR, technique:
        SituationIdentify each patient (name, age, sex, chief complaint) and briefly state any major problems (active and those that may become active during cross‐coverage).
        Backgroundpertinent information relevant to current care (eg, recent vitals and/or baseline exam, labs, test results, etc).
        Assessmentworking diagnosis, response to treatment, anticipated problems during cross‐coverage including anything not adequately described using written form (eg, complex family discussions).
        Recommendationto‐do lists and if/then recommendations.
        WHERE should sign‐out occur?
        □ Designated room or place for sign‐out (eg, avoid patient areas because of HIPPA requirements)
        □ Proper lighting
        □ Avoid excessive noise (eg, high‐traffic areas)
        □ Minimize disruptions (eg, hand over pagers)
        □ Ensure systems support for sign‐out (eg, computers, printer, paper, etc.)
        WHEN is the optimal time for sign‐out?
        □ Designated time when both parties can be present and pay attention (eg, beware of clinic, other obligations)
        □ Have enough time for interactive questions at the end (eg, avoid rush at the end of the shift)
        HOW should verbal communication be performed?
        □ Face to face, allowing for questions
        □ Verbalize data in the same order for each patient at each sign‐out
        □ Read back all to‐do items
        □ Adjust length and depth of review according to baseline knowledge of parties involved and type of transition in care

        The Environment and setting.

        To improve the setting of sign‐out, we recommend: a designated space that is well lit, quiet, and respects patient confidentiality and a designated time when sign‐out will occur. To limit known distractions and interruptions39, 40 in the hospital, we also recommend the outgoing physician hand off his or her pager to someone else during sign‐out. Also key to an environment conducive to information transfer is ensuring adequate computer support for electronic sign‐out and access to updated clinical information.

        Organizational culture and institutional leadership.

        The way residents transfer patient care information reflects the culture of the institution. Changing the culture to one in which interactive questioning is valued regardless of position in the hierarchy has been shown to reduce errors in aviation.41 Educating residents on the impact of sign‐outs on patient care is a first step toward improving the culture of sign‐out. Resident commitment to the new sign‐out can be gained by engaging residents in development of the process itself. To cement these changes into the culture, practitioners at all levels should be aware of and support the new system. The role of an institution's leaders in achieving these changes cannot be overlooked. Leaders will need to be creative in order to support sign‐out as described within the obvious constraints of money, time, personnel, and space. Gaining institutional buy‐in can start with heightening the awareness of leaders of the issues surrounding sign‐out, including patient safety, resident efficiency, and the financial impact of discontinuity. Ongoing evaluation of efforts to improve sign‐out is also crucial and can be accomplished with surveys, focus groups, and direct observation. Feeding back the positive impact of the changes to all involved stakeholders will promote confidence in the new systems and pride in their efforts.

        CONCLUSIONS

        Sign‐outs are a part of the current landscape of academic medical centers as well as hospitals at large. Interns, residents, and consulting fellows, not to mention nurses, physical therapists, and nutritionists, transfer patient care information at each transition point. There are few resources that can assist these caregivers in identifying and implementing the most effective ways to transfer patient care information. Hospitals and other care facilities are now mandated to develop standards and systems to improve sign‐out. On the basis of the limited literature to date and our own experiences, we have proposed standards and best practices to assist hospitals, training programs, and institutional leaders in designing safe and usable sign‐out systems. Effective implementation of the standards must include appropriate allocation of resources, individualization to meet specific needs of each program or institution, intensive training, and ongoing evaluation. Future research should focus on developing valid surrogate measures of continuity of care, conducting rigorous trials to determine the elements of sign‐out that lead to the best patient outcomes, and studying the most effective ways of implementing these improvements. By improving the content and process of sign‐out, we can meet the challenges of the new health care landscape while putting patient safety at the forefront.

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        Modern‐day continuity of patient care in teaching hospitals, once remarkably high because of a cadre of sleep‐deprived residents, is now peppered with breaks, each accompanied by the transfer of patient care responsibility from one resident to another; a process often referred to as a handoff. Such transitions have long been a part of medical practice but have recently received increased attention because of restrictions in the duty hours of house staff. In July 2003 the Accreditation Council for Graduate Medical Education (ACGME) mandated reduced duty hours for all trainees in hopes of improving resident education and well‐being and patient safety.1 In fact, some studies have shown improved resident well‐being2 and fewer medical errors with reductions in duty hours,3, 4 but the growing consensus about the negative consequences of resident fatigue on patient safety has been accompanied by parallel concerns about the potential for information loss with each break in the continuity of care.5, 6

        Although the tradeoff of increased discontinuity of care for fewer hours worked is sometimes characterized as an unintended consequence of duty hour regulations, it is in fact predictable and essential. As individuals work fewer hours, discontinuity must necessarily increase (assuming 24‐hour coverage).7 The extent to which this occurs may vary, but the link is consistent. At the University of California, San Francisco (UCSF), for example, we found that compliance with new duty hour requirements for internal medicine resulted in an average of 15 handoffs per patient during a 5‐day hospitalization. Each individual intern was involved in more than 300 handoffs in an average month‐long rotation, an increase of 40% since system changes were introduced to decrease duty hours. We found similar increases at Brigham and Women's Hospital (BWH) and the University of Chicago. Because U.S. teaching hospitals care for more than 6 million patients each year,8 the impact of these handoffs on the quality and efficiency of care is tremendous.

        Discontinuity of care is currently managed by sign‐out, or the transfer of patient information from one physician to another. Recognizing the importance of information transfer at these vulnerable transition times for patients, the Joint Commission on Accreditation of Hospital Organizations (JCAHO) issued the 2006 National Patient Safety Goal 2E: Implement a standardized approach to hand off communications, including an opportunity to ask and respond to questions.9 Hospitals have little data to draw on to determine how to comply with this mandate and even less data to guide them in how to achieve its intended goals of improving communication and thus patient safety.

        In an effort to better understand sign‐outs and ways to improve this process for house staff on in‐patient services, we reviewed data from the fields of aviation, communications, systems engineering, and human factors research, and we also searched the medical literature using key words pass‐off, handoff, sign‐out, duty hours, work hours, and discontinuity of care and MeSH headings Continuity of Patient Care Internship and Residency/*organization & administration, Personnel Staffing and Scheduling/*organization & administration, and Quality of Health Care. We also searched the websites of the Agency of Healthcare Quality and Research and the National Patient Safety Foundation. On the basis of these reviews, our experiences as hospitalist medical educators organizing resident sign‐out efforts at the University of California, San Francisco, the University of Chicago, and Brigham and Women's Hospital, and our efforts leading national training sessions on sign‐outs at the Society of General Internal Medicine (2004 and 2005), the Society of Hospital Medicine (2004), and the Association of Program Directors in Internal Medicine (2005, 2006), we propose a set of best practices regarding the content and process of sign‐out in an effort to improve communication between residents caring for hospitalized patients, assist programs in building safe and effective sign‐out systems, and improve the quality of patient care.

        Effects of Discontinuity on Patient Safety

        Research on the effects of discontinuity of care, although limited, suggests it has a negative impact on patient safety. In a study that investigated the institution of code 405 (the regulation that reduced duty hours in New York State), researchers found that the presumed increase in discontinuity with decreased duty hours resulted in delayed test ordering and an increased number of hospital complications.10 Another study found that the number of potentially preventable adverse events doubled when patients were under the care of a physician from a nonprimary team (eg, the cross‐covering intern).11 Studies have also linked resident discontinuity with longer length of stay, increased laboratory testing, and increased medication errors.12, 13

        Managing Discontinuity: Sign‐Out as the Means of Information Transfer

        In theory, more effective sign‐out systems should mitigate the potential for patient harm, but there is little in the literature describing current effective sign‐out practices or the best ways to design and implement such systems in the health care field. Examining information transfer mechanisms used in fields outside health care can assist in developing these systems.

        Information Transfer in Other Industries

        Although there is a paucity of data on sign‐out in the medical literature, information transfer has been the subject of substantial research in other industries in which safety depends on effective communication.

        Aviation, for example, created systems and processes to improve handoff communication in response to accidents linked to failures in information transfer. One example, the 1977 collision of 2 747s on an airport runway in Tenerife, the Canary Islands, occurred after a garbled transmission from an air traffic controller to the cockpit of one of the aircraft. It was determined that a culture of adherence to a steep hierarchy prevented subordinates from questioning the captain's mistaken certainty that a runway was clear,14 an erroneous belief that was the basis for his decision to continue the aircraft on its course, resulting in its collision with the other airplane.

        Subsequently, commercial aviation designed systems that standardized and formalized the process of information transfer and improved teamwork and coordination. These interventions were developed on the basis of detailed observations of cockpit interactions, reviews of communication errors, and focus groups.15 Because of these efforts, today's pilots use standardized checklists to transfer information content, communicate at designated times in specific undistracted environments, and use standard language and read‐backs to enhance understanding.16 The result has been a remarkable decrease in the risk of aviation crashes, one that most experts attribute in large part to these efforts to improve communication.17

        Observation of how communication occurs in other high‐risk industries has informed the arena of effective information transfer. For example, direct observation of information transfer at NASA, in nuclear power plants, and in the railway industry identified specific strategies for effective handoffs/sign‐outs such as standardizing the information transferred, ensuring information is up to date, limiting interruptions, and having a structured face‐to‐face verbal interchange.18

        Other strategies noted to be effective in diminishing errors are the use of a standardized phonetic alphabet to ensure that information is correctly heard and understood4 and having interactive verbal communication occur at a whiteboard.19

        Information Transfer in Health Care

        Those in the discipline of nursing have vast experience in the transfer of patient care information. The sign‐out process employed by nurses includes face‐to‐face discussions, typed information, and, most commonly, taped verbal communication.20 Interestingly, this process has not been subject to detailed scrutiny, and there is little information in the literature about best practices in sign‐out. Most articles in the literature on nursing handoffs are ethnographic descriptions of patient care responsibilities,21 on the basis of which, the authors advocate standardization of the information to be transferred, formalization of the channel used to communicate, and attention to increasing a culture of professionalism during sign‐out in order to improve efficiency.20, 22

        There is little in the literature on transfer of care among physicians. Improvements in sign‐out have been suggested as part of broad strategies, such as increased training and information technology support,4, 7, 23, 24 and specific strategies have been offered such as managing barriers to communication, including specific types of data when transferring care,25 and involving nurses and senior physicians in sign‐outs.26 Specific outcomes data in this area have focused primarily on the use of computerized systems to improve information transfer. For example, the use of a computerized sign‐out system at Brigham and Women's Hospital (BWH), linked to the hospital's information system to ensure up‐to‐date information on patient demographics, medications, and laboratory values, has resulted in fewer errors,27 as have other similar systems.28 At the University of Washington, use of a similarly linked computerized sign‐out system resulted in fewer patients being missed on rounds and improvement in the quality of sign‐out and continuity of care according to resident self‐reports.29 Unfortunately, fewer than 10% of hospitals have such integrated hospitalwide information systems to support the sign‐out function.30

        It has been noted that verbal communication, in concert with advances in technological communication, is important in information transfer in health care,18, 31 especially in emergent or urgent conditions.32 For example, eliminating the phoned‐in report from the lab to the ER and replacing it with delivery by an electronic reporting system lacking verbal communicationresulted in 45% of emergent lab results going unchecked.32 Structured verbal communication tools have been efficacious in improving information transfer outside the formal sign‐outfor example, read‐backs, which reduced errors in the reporting of critical laboratory values,33 and the SBAR (situation, background, assessment, recommendation) tool (designed to frame the transfer of critical information), which improved physician and nurse patient care information transfer in the in‐patient setting of the Kaiser Permanente health system.34

        In focus groups and in response to formal and informal surveys, residents at our 3 sites suggested inclusion of the following information, provided in writing and orally, to improve sign‐outs: up‐to‐date administrative information (eg, room number, primary care physician); patient's recent cognitive or cardiopulmonary status; problems the patient had already experienced and treatments previously tried, both successfully and unsuccessfully; patient's code status and discussions on level of care; test results or consultation recommendations that were likely to come back while covering the patient and what to do with the results; and relevant psychosocial information (eg, complex family dynamics).35

        The Current Practice of Sign‐Out

        In examining sign‐outs at our 3 institutions, we found them to be unstructured and unstandardized. From discussion with faculty participating in national workshops on sign‐out, we found that most sign‐outs are conducted by interns, usually with little or no formal training. Templates, checklists, or other methods to standardize the content of the information transferred were rarely used.

        We also noted that the vehicle for written sign‐out is highly variable. At UCSF, different residency training programs used a variety of modalities for written sign‐outs, including index cards, Excel spreadsheets, Word documents, and loose sheets of paper. Recently, the UCSF Department of Medicine designed a simple database (on Filemaker Pro) that allows members of the house staff to update their sign‐out information, share it with other house staff and nurses, and access it at locations throughout the hospital (Fig. 1). Although this database is not yet linked to the hospital information system (planned for 2006), anecdotally resident satisfaction with sign‐out has vastly improved since its implementation. The cost of design and implementation was approximately $10,000. At the University of Chicago, interns used Microsoft Word to create sign‐out sheets containing patient summaries to transfer information. However, during structured interviews, 95% of the interns reported that these sheets were frequently lost or misplaced.7 Although medicine residents at BWH use a computerized system to produce sign‐out sheets, this system did not guarantee complete and structured information. For example, a survey at BWH found that 56% of cross‐covering residents said that when paged about a patient overnight, the relevant information needed to care for that patient was present less than half the time; and 27% of residents reported being paged more than 3 times in the previous 2 weeks about a test result or consultant recommendation that they did not know was pending.36

        Figure 1
        UCSF Filemaker Pro written sign‐out vehicle.

        The process of sign‐out also varied across disciplines and institutions. From our experiences at our sites and at the sites of faculty nationally, we found limited standardization about whether sign‐out was verbal, the data transmitted, and the setting in which it was transmitted. In fact, at UCSF most residents signed out verbally on the fly, wherever and whenever they could find the cross‐coverage intern. At BWH, only 37% of residents said that sign‐out occurred in a quiet place most of the time, and only 52% signed out on every patient both orally and in writing.36 At the University of Chicago, the sign‐out process was characterized by outright failures in communication because of omission of needed information (ie, medications, active or anticipated medical problems, etc.) or by failure‐prone communication (ie, lack of face‐to‐face communication, illegible writing). These failures often led to uncertainty in making patient care decisions, potentially resulting in inefficient or suboptimal care.35

        Strategies for Safe and Effective Sign‐Out

        Given the current landscape of variability in sign‐outs, the recognition that information lost during sign‐out may result in harm to patients, and evidence of improvements in information transfer in areas outside health care, we aimed to develop mechanisms to improve the sign‐out process for residents working in a hospital setting. These strategies are based on our review of the existing literature supplemented by our experiences at our 3 institutions.

        Content of Sign‐Out

        The elements of content necessary for safe and effective sign‐out can be divided into 5 broad categories (Table 1), contained in the mnemonic ANTICipate: Administrative information, New clinical information, specific Tasks to be performed, assessment of severity of Illness, and Contingency plans or anticipated problems (Table 1, Fig. 2).

        Checklist for Elements of a Safe and Effective Written Sign‐outANTICipate
        Administrative data
        □ Patient name, age, sex
        □ Medical record number
        □ Room number
        □ Admission date
        □ Primary inpatient medical team, primary care physician
        □ Family contact information
        New information (clinical update)
        □ Chief complaint, brief HPI, and diagnosis (or differential diagnosis)
        □ Updated list of medications with doses, updated allergies
        □ Updated, brief assessment by system/problem, with dates
        □ Current baseline status (eg, mental status, cardiopulmonary, vital signs, especially if abnormal but stable)
        □ Recent procedures and significant events
        Tasks (what needs to be done)
        □ Specific, using if‐then statements
        □ Prepare cross‐coverage (eg, patient consent for blood transfusion)
        □ Alert to incoming information (eg, study results, consultant recommendations), and what action, if any, needs to be taken during the cross‐coverage
        Illness
        □ Is the patient sick?
        Contingency planning/Code status
        □ What may go wrong and what to do about it
        □ What has or has not worked before (eg, responds to 40 mg IV furosemide)
        □ Difficult family or psychosocial situations
        □ Code status, especially recent changes or family discussions
        Figure 2
        Example of a written sign‐out.

        Several general points about this list should be noted. First, the sign‐out content is not meant to replace the chart. The information included reflects the goal of a sign‐out, namely, to provide enough information to allow for a safe transition in patient care. Information we believe is not essential to the sign‐out includes: a complete history and physical exam from the day of admission, a list of tasks already completed, and data necessary only to complete a discharge summary.

        Sign‐out must be also be a closed loopthe process of signing in is as important as the process of signing out. This usually entails members of the primary team obtaining information from the cross‐covering physician when they resume care of the patient. The information conveyed in this case is different and includes details on events during cross‐coverage such as: 1) time called to assess patient; 2) reason for call; 3) a brief assessment of the patient, including vital signs; 4) actions taken, for example, medications given and tests ordered; and 5) rationale for those actions. Some of this information may also be included in the chart as an event note (see Fig. 3).

        Figure 3
        Example of patient event note.

        The Vehicle for Sign‐Out

        We recommend a computer‐assisted vehicle for patient information transfer. Ideally, this would be linked to the hospital information system to ensure accurate and up‐to‐date information Easy access to the computerized sign‐out is essential (eg, using a hospitalwide computer system, shared hard drive service, intranet, or PDA linked to the computer system), and it should be customizable for the varied needs of different services and departments. The system should have templates to standardize the content of sign‐out, contain robust backup systems, and be HIPAA compliant (ie, restrict access to required health care personnel). However, the perfect should not be the enemy of the good: systems that do not meet these criteria may still help to protect patients by providing legible, predictable, and accessible information.

        Sign‐Out Processes

        Verbal communication.

        Although electronic solutions can facilitate the standardization of written content, face‐to‐face verbal communication adds additional value.19 We recommend that each patient be reviewed separately. Identification of each patient verbally ensures that those engaged in the sign‐out are discussing the same patient. Reiterating the major medical problems gives a snapshot of the patient and frames the sign‐out. The to‐do list, the list of tasks that the cross‐cover resident needs to complete during cross coverage, should be specific and articulated as if, then statements (eg, if the urine output is less than 1 L, then give 40 mg of IV furosemide). The receiver of sign‐out should read back to the person giving the sign‐out each item on the to‐do list (eg, So, I should check the ins and outs at about 10:00 pm, and give 40 of furosemide if the patient is not 1 L negative, right?).

        Anticipated problems should also be verbally communicated to promote a dialogue. Points that cannot be adequately transferred in the written sign‐out are particularly important to transmit verbally. Examples include previous code discussions, unusual responses to treatment, and psychosocial and family issues. When delivering verbal sign‐out, it is important to consider the a priori knowledge of the recipient. How much knowledge about a patient is already shared between the outgoing and incoming physicians and the level of experience of the physicians may affect the extent to which information needs be transmitted.37 For instance, 2 experienced physicians who already have been working to cover the same patient will likely have an abbreviated discussion, in contrast to the lengthier sign‐out necessary if the outgoing and incoming physicians are interns, and the incoming intern has no prior knowledge of the patient. Similarly, it is likely the level of detail transmitted will need to be greater during a permanent transfer of patient care (ie, at the end of a resident's rotation) than during a brief, temporary transition (eg, overnight coverage).

        The challenges of a busy inpatient service may preclude a complete verbal sign‐out for all patients; we contend, though, it is best to use these practices to the extent possible, especially for patients with treatment plans in flux, those whose status is tenuous, and those who have anticipated changes in status during cross‐coverage. One tool that may be effectively used in signing out such patients is the SBAR tool, according to which a brief description of the situation is given, followed by the background and the physician's specific assessment and complete recommendation.38 For example, a resident signing out might begin by stating, I have 18 patients to sign‐out to you. I'm going to describe 6 active patients in detail. Twelve others are fairly stable, and I will give you basic information about them, and the details are in the written sign‐out. One patient has a plan in flux. The situation is Mr. S. is having trouble breathing, the background is that he has both CHF and COPD, my assessment is that this is more cardiac than pulmonary, and I recommend that you see him first and discuss with the cardiology consultant. Using the tools described here (Table 2), a sign‐out of 15 patients of variable acuity could be verbally signed out in less than 10 minutes.

        Checklist for Verbal Communication During Sign‐Out: The Who, What, Where, When, and How
        WHO should participate in the sign‐out process?
        □ Outgoing clinician primarily responsible for patient's care
        □ Oncoming clinician who will be primarily responsible for patient's care (avoid passing this task to someone else, even if busy)
        □ Consider supervision by experienced clinicians if early in training
        WHAT content needs to be verbally communicated?
        Use situation briefing model, or SBAR, technique:
        SituationIdentify each patient (name, age, sex, chief complaint) and briefly state any major problems (active and those that may become active during cross‐coverage).
        Backgroundpertinent information relevant to current care (eg, recent vitals and/or baseline exam, labs, test results, etc).
        Assessmentworking diagnosis, response to treatment, anticipated problems during cross‐coverage including anything not adequately described using written form (eg, complex family discussions).
        Recommendationto‐do lists and if/then recommendations.
        WHERE should sign‐out occur?
        □ Designated room or place for sign‐out (eg, avoid patient areas because of HIPPA requirements)
        □ Proper lighting
        □ Avoid excessive noise (eg, high‐traffic areas)
        □ Minimize disruptions (eg, hand over pagers)
        □ Ensure systems support for sign‐out (eg, computers, printer, paper, etc.)
        WHEN is the optimal time for sign‐out?
        □ Designated time when both parties can be present and pay attention (eg, beware of clinic, other obligations)
        □ Have enough time for interactive questions at the end (eg, avoid rush at the end of the shift)
        HOW should verbal communication be performed?
        □ Face to face, allowing for questions
        □ Verbalize data in the same order for each patient at each sign‐out
        □ Read back all to‐do items
        □ Adjust length and depth of review according to baseline knowledge of parties involved and type of transition in care

        The Environment and setting.

        To improve the setting of sign‐out, we recommend: a designated space that is well lit, quiet, and respects patient confidentiality and a designated time when sign‐out will occur. To limit known distractions and interruptions39, 40 in the hospital, we also recommend the outgoing physician hand off his or her pager to someone else during sign‐out. Also key to an environment conducive to information transfer is ensuring adequate computer support for electronic sign‐out and access to updated clinical information.

        Organizational culture and institutional leadership.

        The way residents transfer patient care information reflects the culture of the institution. Changing the culture to one in which interactive questioning is valued regardless of position in the hierarchy has been shown to reduce errors in aviation.41 Educating residents on the impact of sign‐outs on patient care is a first step toward improving the culture of sign‐out. Resident commitment to the new sign‐out can be gained by engaging residents in development of the process itself. To cement these changes into the culture, practitioners at all levels should be aware of and support the new system. The role of an institution's leaders in achieving these changes cannot be overlooked. Leaders will need to be creative in order to support sign‐out as described within the obvious constraints of money, time, personnel, and space. Gaining institutional buy‐in can start with heightening the awareness of leaders of the issues surrounding sign‐out, including patient safety, resident efficiency, and the financial impact of discontinuity. Ongoing evaluation of efforts to improve sign‐out is also crucial and can be accomplished with surveys, focus groups, and direct observation. Feeding back the positive impact of the changes to all involved stakeholders will promote confidence in the new systems and pride in their efforts.

        CONCLUSIONS

        Sign‐outs are a part of the current landscape of academic medical centers as well as hospitals at large. Interns, residents, and consulting fellows, not to mention nurses, physical therapists, and nutritionists, transfer patient care information at each transition point. There are few resources that can assist these caregivers in identifying and implementing the most effective ways to transfer patient care information. Hospitals and other care facilities are now mandated to develop standards and systems to improve sign‐out. On the basis of the limited literature to date and our own experiences, we have proposed standards and best practices to assist hospitals, training programs, and institutional leaders in designing safe and usable sign‐out systems. Effective implementation of the standards must include appropriate allocation of resources, individualization to meet specific needs of each program or institution, intensive training, and ongoing evaluation. Future research should focus on developing valid surrogate measures of continuity of care, conducting rigorous trials to determine the elements of sign‐out that lead to the best patient outcomes, and studying the most effective ways of implementing these improvements. By improving the content and process of sign‐out, we can meet the challenges of the new health care landscape while putting patient safety at the forefront.

        Modern‐day continuity of patient care in teaching hospitals, once remarkably high because of a cadre of sleep‐deprived residents, is now peppered with breaks, each accompanied by the transfer of patient care responsibility from one resident to another; a process often referred to as a handoff. Such transitions have long been a part of medical practice but have recently received increased attention because of restrictions in the duty hours of house staff. In July 2003 the Accreditation Council for Graduate Medical Education (ACGME) mandated reduced duty hours for all trainees in hopes of improving resident education and well‐being and patient safety.1 In fact, some studies have shown improved resident well‐being2 and fewer medical errors with reductions in duty hours,3, 4 but the growing consensus about the negative consequences of resident fatigue on patient safety has been accompanied by parallel concerns about the potential for information loss with each break in the continuity of care.5, 6

        Although the tradeoff of increased discontinuity of care for fewer hours worked is sometimes characterized as an unintended consequence of duty hour regulations, it is in fact predictable and essential. As individuals work fewer hours, discontinuity must necessarily increase (assuming 24‐hour coverage).7 The extent to which this occurs may vary, but the link is consistent. At the University of California, San Francisco (UCSF), for example, we found that compliance with new duty hour requirements for internal medicine resulted in an average of 15 handoffs per patient during a 5‐day hospitalization. Each individual intern was involved in more than 300 handoffs in an average month‐long rotation, an increase of 40% since system changes were introduced to decrease duty hours. We found similar increases at Brigham and Women's Hospital (BWH) and the University of Chicago. Because U.S. teaching hospitals care for more than 6 million patients each year,8 the impact of these handoffs on the quality and efficiency of care is tremendous.

        Discontinuity of care is currently managed by sign‐out, or the transfer of patient information from one physician to another. Recognizing the importance of information transfer at these vulnerable transition times for patients, the Joint Commission on Accreditation of Hospital Organizations (JCAHO) issued the 2006 National Patient Safety Goal 2E: Implement a standardized approach to hand off communications, including an opportunity to ask and respond to questions.9 Hospitals have little data to draw on to determine how to comply with this mandate and even less data to guide them in how to achieve its intended goals of improving communication and thus patient safety.

        In an effort to better understand sign‐outs and ways to improve this process for house staff on in‐patient services, we reviewed data from the fields of aviation, communications, systems engineering, and human factors research, and we also searched the medical literature using key words pass‐off, handoff, sign‐out, duty hours, work hours, and discontinuity of care and MeSH headings Continuity of Patient Care Internship and Residency/*organization & administration, Personnel Staffing and Scheduling/*organization & administration, and Quality of Health Care. We also searched the websites of the Agency of Healthcare Quality and Research and the National Patient Safety Foundation. On the basis of these reviews, our experiences as hospitalist medical educators organizing resident sign‐out efforts at the University of California, San Francisco, the University of Chicago, and Brigham and Women's Hospital, and our efforts leading national training sessions on sign‐outs at the Society of General Internal Medicine (2004 and 2005), the Society of Hospital Medicine (2004), and the Association of Program Directors in Internal Medicine (2005, 2006), we propose a set of best practices regarding the content and process of sign‐out in an effort to improve communication between residents caring for hospitalized patients, assist programs in building safe and effective sign‐out systems, and improve the quality of patient care.

        Effects of Discontinuity on Patient Safety

        Research on the effects of discontinuity of care, although limited, suggests it has a negative impact on patient safety. In a study that investigated the institution of code 405 (the regulation that reduced duty hours in New York State), researchers found that the presumed increase in discontinuity with decreased duty hours resulted in delayed test ordering and an increased number of hospital complications.10 Another study found that the number of potentially preventable adverse events doubled when patients were under the care of a physician from a nonprimary team (eg, the cross‐covering intern).11 Studies have also linked resident discontinuity with longer length of stay, increased laboratory testing, and increased medication errors.12, 13

        Managing Discontinuity: Sign‐Out as the Means of Information Transfer

        In theory, more effective sign‐out systems should mitigate the potential for patient harm, but there is little in the literature describing current effective sign‐out practices or the best ways to design and implement such systems in the health care field. Examining information transfer mechanisms used in fields outside health care can assist in developing these systems.

        Information Transfer in Other Industries

        Although there is a paucity of data on sign‐out in the medical literature, information transfer has been the subject of substantial research in other industries in which safety depends on effective communication.

        Aviation, for example, created systems and processes to improve handoff communication in response to accidents linked to failures in information transfer. One example, the 1977 collision of 2 747s on an airport runway in Tenerife, the Canary Islands, occurred after a garbled transmission from an air traffic controller to the cockpit of one of the aircraft. It was determined that a culture of adherence to a steep hierarchy prevented subordinates from questioning the captain's mistaken certainty that a runway was clear,14 an erroneous belief that was the basis for his decision to continue the aircraft on its course, resulting in its collision with the other airplane.

        Subsequently, commercial aviation designed systems that standardized and formalized the process of information transfer and improved teamwork and coordination. These interventions were developed on the basis of detailed observations of cockpit interactions, reviews of communication errors, and focus groups.15 Because of these efforts, today's pilots use standardized checklists to transfer information content, communicate at designated times in specific undistracted environments, and use standard language and read‐backs to enhance understanding.16 The result has been a remarkable decrease in the risk of aviation crashes, one that most experts attribute in large part to these efforts to improve communication.17

        Observation of how communication occurs in other high‐risk industries has informed the arena of effective information transfer. For example, direct observation of information transfer at NASA, in nuclear power plants, and in the railway industry identified specific strategies for effective handoffs/sign‐outs such as standardizing the information transferred, ensuring information is up to date, limiting interruptions, and having a structured face‐to‐face verbal interchange.18

        Other strategies noted to be effective in diminishing errors are the use of a standardized phonetic alphabet to ensure that information is correctly heard and understood4 and having interactive verbal communication occur at a whiteboard.19

        Information Transfer in Health Care

        Those in the discipline of nursing have vast experience in the transfer of patient care information. The sign‐out process employed by nurses includes face‐to‐face discussions, typed information, and, most commonly, taped verbal communication.20 Interestingly, this process has not been subject to detailed scrutiny, and there is little information in the literature about best practices in sign‐out. Most articles in the literature on nursing handoffs are ethnographic descriptions of patient care responsibilities,21 on the basis of which, the authors advocate standardization of the information to be transferred, formalization of the channel used to communicate, and attention to increasing a culture of professionalism during sign‐out in order to improve efficiency.20, 22

        There is little in the literature on transfer of care among physicians. Improvements in sign‐out have been suggested as part of broad strategies, such as increased training and information technology support,4, 7, 23, 24 and specific strategies have been offered such as managing barriers to communication, including specific types of data when transferring care,25 and involving nurses and senior physicians in sign‐outs.26 Specific outcomes data in this area have focused primarily on the use of computerized systems to improve information transfer. For example, the use of a computerized sign‐out system at Brigham and Women's Hospital (BWH), linked to the hospital's information system to ensure up‐to‐date information on patient demographics, medications, and laboratory values, has resulted in fewer errors,27 as have other similar systems.28 At the University of Washington, use of a similarly linked computerized sign‐out system resulted in fewer patients being missed on rounds and improvement in the quality of sign‐out and continuity of care according to resident self‐reports.29 Unfortunately, fewer than 10% of hospitals have such integrated hospitalwide information systems to support the sign‐out function.30

        It has been noted that verbal communication, in concert with advances in technological communication, is important in information transfer in health care,18, 31 especially in emergent or urgent conditions.32 For example, eliminating the phoned‐in report from the lab to the ER and replacing it with delivery by an electronic reporting system lacking verbal communicationresulted in 45% of emergent lab results going unchecked.32 Structured verbal communication tools have been efficacious in improving information transfer outside the formal sign‐outfor example, read‐backs, which reduced errors in the reporting of critical laboratory values,33 and the SBAR (situation, background, assessment, recommendation) tool (designed to frame the transfer of critical information), which improved physician and nurse patient care information transfer in the in‐patient setting of the Kaiser Permanente health system.34

        In focus groups and in response to formal and informal surveys, residents at our 3 sites suggested inclusion of the following information, provided in writing and orally, to improve sign‐outs: up‐to‐date administrative information (eg, room number, primary care physician); patient's recent cognitive or cardiopulmonary status; problems the patient had already experienced and treatments previously tried, both successfully and unsuccessfully; patient's code status and discussions on level of care; test results or consultation recommendations that were likely to come back while covering the patient and what to do with the results; and relevant psychosocial information (eg, complex family dynamics).35

        The Current Practice of Sign‐Out

        In examining sign‐outs at our 3 institutions, we found them to be unstructured and unstandardized. From discussion with faculty participating in national workshops on sign‐out, we found that most sign‐outs are conducted by interns, usually with little or no formal training. Templates, checklists, or other methods to standardize the content of the information transferred were rarely used.

        We also noted that the vehicle for written sign‐out is highly variable. At UCSF, different residency training programs used a variety of modalities for written sign‐outs, including index cards, Excel spreadsheets, Word documents, and loose sheets of paper. Recently, the UCSF Department of Medicine designed a simple database (on Filemaker Pro) that allows members of the house staff to update their sign‐out information, share it with other house staff and nurses, and access it at locations throughout the hospital (Fig. 1). Although this database is not yet linked to the hospital information system (planned for 2006), anecdotally resident satisfaction with sign‐out has vastly improved since its implementation. The cost of design and implementation was approximately $10,000. At the University of Chicago, interns used Microsoft Word to create sign‐out sheets containing patient summaries to transfer information. However, during structured interviews, 95% of the interns reported that these sheets were frequently lost or misplaced.7 Although medicine residents at BWH use a computerized system to produce sign‐out sheets, this system did not guarantee complete and structured information. For example, a survey at BWH found that 56% of cross‐covering residents said that when paged about a patient overnight, the relevant information needed to care for that patient was present less than half the time; and 27% of residents reported being paged more than 3 times in the previous 2 weeks about a test result or consultant recommendation that they did not know was pending.36

        Figure 1
        UCSF Filemaker Pro written sign‐out vehicle.

        The process of sign‐out also varied across disciplines and institutions. From our experiences at our sites and at the sites of faculty nationally, we found limited standardization about whether sign‐out was verbal, the data transmitted, and the setting in which it was transmitted. In fact, at UCSF most residents signed out verbally on the fly, wherever and whenever they could find the cross‐coverage intern. At BWH, only 37% of residents said that sign‐out occurred in a quiet place most of the time, and only 52% signed out on every patient both orally and in writing.36 At the University of Chicago, the sign‐out process was characterized by outright failures in communication because of omission of needed information (ie, medications, active or anticipated medical problems, etc.) or by failure‐prone communication (ie, lack of face‐to‐face communication, illegible writing). These failures often led to uncertainty in making patient care decisions, potentially resulting in inefficient or suboptimal care.35

        Strategies for Safe and Effective Sign‐Out

        Given the current landscape of variability in sign‐outs, the recognition that information lost during sign‐out may result in harm to patients, and evidence of improvements in information transfer in areas outside health care, we aimed to develop mechanisms to improve the sign‐out process for residents working in a hospital setting. These strategies are based on our review of the existing literature supplemented by our experiences at our 3 institutions.

        Content of Sign‐Out

        The elements of content necessary for safe and effective sign‐out can be divided into 5 broad categories (Table 1), contained in the mnemonic ANTICipate: Administrative information, New clinical information, specific Tasks to be performed, assessment of severity of Illness, and Contingency plans or anticipated problems (Table 1, Fig. 2).

        Checklist for Elements of a Safe and Effective Written Sign‐outANTICipate
        Administrative data
        □ Patient name, age, sex
        □ Medical record number
        □ Room number
        □ Admission date
        □ Primary inpatient medical team, primary care physician
        □ Family contact information
        New information (clinical update)
        □ Chief complaint, brief HPI, and diagnosis (or differential diagnosis)
        □ Updated list of medications with doses, updated allergies
        □ Updated, brief assessment by system/problem, with dates
        □ Current baseline status (eg, mental status, cardiopulmonary, vital signs, especially if abnormal but stable)
        □ Recent procedures and significant events
        Tasks (what needs to be done)
        □ Specific, using if‐then statements
        □ Prepare cross‐coverage (eg, patient consent for blood transfusion)
        □ Alert to incoming information (eg, study results, consultant recommendations), and what action, if any, needs to be taken during the cross‐coverage
        Illness
        □ Is the patient sick?
        Contingency planning/Code status
        □ What may go wrong and what to do about it
        □ What has or has not worked before (eg, responds to 40 mg IV furosemide)
        □ Difficult family or psychosocial situations
        □ Code status, especially recent changes or family discussions
        Figure 2
        Example of a written sign‐out.

        Several general points about this list should be noted. First, the sign‐out content is not meant to replace the chart. The information included reflects the goal of a sign‐out, namely, to provide enough information to allow for a safe transition in patient care. Information we believe is not essential to the sign‐out includes: a complete history and physical exam from the day of admission, a list of tasks already completed, and data necessary only to complete a discharge summary.

        Sign‐out must be also be a closed loopthe process of signing in is as important as the process of signing out. This usually entails members of the primary team obtaining information from the cross‐covering physician when they resume care of the patient. The information conveyed in this case is different and includes details on events during cross‐coverage such as: 1) time called to assess patient; 2) reason for call; 3) a brief assessment of the patient, including vital signs; 4) actions taken, for example, medications given and tests ordered; and 5) rationale for those actions. Some of this information may also be included in the chart as an event note (see Fig. 3).

        Figure 3
        Example of patient event note.

        The Vehicle for Sign‐Out

        We recommend a computer‐assisted vehicle for patient information transfer. Ideally, this would be linked to the hospital information system to ensure accurate and up‐to‐date information Easy access to the computerized sign‐out is essential (eg, using a hospitalwide computer system, shared hard drive service, intranet, or PDA linked to the computer system), and it should be customizable for the varied needs of different services and departments. The system should have templates to standardize the content of sign‐out, contain robust backup systems, and be HIPAA compliant (ie, restrict access to required health care personnel). However, the perfect should not be the enemy of the good: systems that do not meet these criteria may still help to protect patients by providing legible, predictable, and accessible information.

        Sign‐Out Processes

        Verbal communication.

        Although electronic solutions can facilitate the standardization of written content, face‐to‐face verbal communication adds additional value.19 We recommend that each patient be reviewed separately. Identification of each patient verbally ensures that those engaged in the sign‐out are discussing the same patient. Reiterating the major medical problems gives a snapshot of the patient and frames the sign‐out. The to‐do list, the list of tasks that the cross‐cover resident needs to complete during cross coverage, should be specific and articulated as if, then statements (eg, if the urine output is less than 1 L, then give 40 mg of IV furosemide). The receiver of sign‐out should read back to the person giving the sign‐out each item on the to‐do list (eg, So, I should check the ins and outs at about 10:00 pm, and give 40 of furosemide if the patient is not 1 L negative, right?).

        Anticipated problems should also be verbally communicated to promote a dialogue. Points that cannot be adequately transferred in the written sign‐out are particularly important to transmit verbally. Examples include previous code discussions, unusual responses to treatment, and psychosocial and family issues. When delivering verbal sign‐out, it is important to consider the a priori knowledge of the recipient. How much knowledge about a patient is already shared between the outgoing and incoming physicians and the level of experience of the physicians may affect the extent to which information needs be transmitted.37 For instance, 2 experienced physicians who already have been working to cover the same patient will likely have an abbreviated discussion, in contrast to the lengthier sign‐out necessary if the outgoing and incoming physicians are interns, and the incoming intern has no prior knowledge of the patient. Similarly, it is likely the level of detail transmitted will need to be greater during a permanent transfer of patient care (ie, at the end of a resident's rotation) than during a brief, temporary transition (eg, overnight coverage).

        The challenges of a busy inpatient service may preclude a complete verbal sign‐out for all patients; we contend, though, it is best to use these practices to the extent possible, especially for patients with treatment plans in flux, those whose status is tenuous, and those who have anticipated changes in status during cross‐coverage. One tool that may be effectively used in signing out such patients is the SBAR tool, according to which a brief description of the situation is given, followed by the background and the physician's specific assessment and complete recommendation.38 For example, a resident signing out might begin by stating, I have 18 patients to sign‐out to you. I'm going to describe 6 active patients in detail. Twelve others are fairly stable, and I will give you basic information about them, and the details are in the written sign‐out. One patient has a plan in flux. The situation is Mr. S. is having trouble breathing, the background is that he has both CHF and COPD, my assessment is that this is more cardiac than pulmonary, and I recommend that you see him first and discuss with the cardiology consultant. Using the tools described here (Table 2), a sign‐out of 15 patients of variable acuity could be verbally signed out in less than 10 minutes.

        Checklist for Verbal Communication During Sign‐Out: The Who, What, Where, When, and How
        WHO should participate in the sign‐out process?
        □ Outgoing clinician primarily responsible for patient's care
        □ Oncoming clinician who will be primarily responsible for patient's care (avoid passing this task to someone else, even if busy)
        □ Consider supervision by experienced clinicians if early in training
        WHAT content needs to be verbally communicated?
        Use situation briefing model, or SBAR, technique:
        SituationIdentify each patient (name, age, sex, chief complaint) and briefly state any major problems (active and those that may become active during cross‐coverage).
        Backgroundpertinent information relevant to current care (eg, recent vitals and/or baseline exam, labs, test results, etc).
        Assessmentworking diagnosis, response to treatment, anticipated problems during cross‐coverage including anything not adequately described using written form (eg, complex family discussions).
        Recommendationto‐do lists and if/then recommendations.
        WHERE should sign‐out occur?
        □ Designated room or place for sign‐out (eg, avoid patient areas because of HIPPA requirements)
        □ Proper lighting
        □ Avoid excessive noise (eg, high‐traffic areas)
        □ Minimize disruptions (eg, hand over pagers)
        □ Ensure systems support for sign‐out (eg, computers, printer, paper, etc.)
        WHEN is the optimal time for sign‐out?
        □ Designated time when both parties can be present and pay attention (eg, beware of clinic, other obligations)
        □ Have enough time for interactive questions at the end (eg, avoid rush at the end of the shift)
        HOW should verbal communication be performed?
        □ Face to face, allowing for questions
        □ Verbalize data in the same order for each patient at each sign‐out
        □ Read back all to‐do items
        □ Adjust length and depth of review according to baseline knowledge of parties involved and type of transition in care

        The Environment and setting.

        To improve the setting of sign‐out, we recommend: a designated space that is well lit, quiet, and respects patient confidentiality and a designated time when sign‐out will occur. To limit known distractions and interruptions39, 40 in the hospital, we also recommend the outgoing physician hand off his or her pager to someone else during sign‐out. Also key to an environment conducive to information transfer is ensuring adequate computer support for electronic sign‐out and access to updated clinical information.

        Organizational culture and institutional leadership.

        The way residents transfer patient care information reflects the culture of the institution. Changing the culture to one in which interactive questioning is valued regardless of position in the hierarchy has been shown to reduce errors in aviation.41 Educating residents on the impact of sign‐outs on patient care is a first step toward improving the culture of sign‐out. Resident commitment to the new sign‐out can be gained by engaging residents in development of the process itself. To cement these changes into the culture, practitioners at all levels should be aware of and support the new system. The role of an institution's leaders in achieving these changes cannot be overlooked. Leaders will need to be creative in order to support sign‐out as described within the obvious constraints of money, time, personnel, and space. Gaining institutional buy‐in can start with heightening the awareness of leaders of the issues surrounding sign‐out, including patient safety, resident efficiency, and the financial impact of discontinuity. Ongoing evaluation of efforts to improve sign‐out is also crucial and can be accomplished with surveys, focus groups, and direct observation. Feeding back the positive impact of the changes to all involved stakeholders will promote confidence in the new systems and pride in their efforts.

        CONCLUSIONS

        Sign‐outs are a part of the current landscape of academic medical centers as well as hospitals at large. Interns, residents, and consulting fellows, not to mention nurses, physical therapists, and nutritionists, transfer patient care information at each transition point. There are few resources that can assist these caregivers in identifying and implementing the most effective ways to transfer patient care information. Hospitals and other care facilities are now mandated to develop standards and systems to improve sign‐out. On the basis of the limited literature to date and our own experiences, we have proposed standards and best practices to assist hospitals, training programs, and institutional leaders in designing safe and usable sign‐out systems. Effective implementation of the standards must include appropriate allocation of resources, individualization to meet specific needs of each program or institution, intensive training, and ongoing evaluation. Future research should focus on developing valid surrogate measures of continuity of care, conducting rigorous trials to determine the elements of sign‐out that lead to the best patient outcomes, and studying the most effective ways of implementing these improvements. By improving the content and process of sign‐out, we can meet the challenges of the new health care landscape while putting patient safety at the forefront.

        References
        1. Philibert I,Friedmann P,Williams WT.New requirements for resident duty hours.JAMA.2002;288:11121114.
        2. Barden CB,Specht MC,McCarter MD,Daly JM,Fahey TJ.Effects of limited work hours on surgical training.J Am Coll Surg.2002;195:531538.
        3. Lockley SW,Cronin JW,Evans EE, et al.Effect of reducing interns' weekly work hours on sleep and attentional failures.N Engl J Med.2004;351:18291837.
        4. Landrigan CP,Rothschild JM,Cronin JW, et al.Effect of reducing interns' work hours on serious medical errors in intensive care units.N Engl J Med.2004;351:18381848.
        5. Mukherjee S.A precarious exchange.N Engl J Med.2004;351:18221824.
        6. Drazen JM.Awake and informed.N Engl J Med.2004;351:1884.
        7. Vidyarthi A. Fumbled handoff: missed communication between teams. Cases and Commentary: Hospital Medicine, Morbidity 269:374378.
        8. Petersen LA,Brennan TA,O'Neil AC,Cook EF,Lee TH.Does housestaff discontinuity of care increase the risk for preventable adverse events?Ann Intern Med.1994;121:866872.
        9. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5:501505.
        10. Gottlieb DJ,Parenti CM,Peterson CA,Lofgren RP.Effect of a change in house staff work schedule on resource utilization and patient care.Arch Intern Med.1991;151:20652070.
        11. Wachter RM,Shojania KG.Internal Bleeding: the Truth behind America's Terrifying Epidemic of Medical Mistakes.New York City:Rugged Land, LLC;2004:448.
        12. Pizzi L,Goldfarb NI,Nash DB.Crew resource management and its applications in medicine. In:Making Health Care Safer: A Critical Analysis of Patient Safety Practices. Evidence Report/Technology Assessment Number 43, AHRQ Publication 01‐E058.Rockville, MD:Agency for Healthcare Research and Quality;2001.
        13. Helmreich RL,Klineet JR,Wilhelm JA.System safety and threat and error management: the line operations safety audit (LOSA). In:Jensen RS, ed. Proceedings of the Eleventh International Symposium on Aviation Psychology.Columbus, OH:Ohio State University;2001:16.
        14. Thomas EJ,Sexton JB,Helmreich RL.Translating teamwork behaviours from aviation to healthcare: development of behavioural markers for neonatal resuscitation.Qual Saf Health Care.2004;13(Suppl 1):i57i64.
        15. Patterson ES RB,Woods DD,Chow R,Gomoes JO.Handoff strategies in settings with high consequences for failure: lessons for healthcare operations.Intl J Qual Health Care.2004;16:125132.
        16. Ambler S. Available at: http://www.agilemodeling.com/essays/communication.htm. Accessed December 15,2005.
        17. Miller C.Ensuring continuing care: styles and efficiency of the handover process.Aust J Adv Nurs.1998;16:2327.
        18. Manias E,Street A.The handover: uncovering the hidden practices of nurses.Intensive Crit Care Nurs.2000;16:373383.
        19. Sherlock C.The patient handover: a study of its form, function and efficiency.Nurs Stand.1995;9(52):3336.
        20. Volpp KGM,Grande D.Residents' suggestions for reducing errors in teaching hospitals.N Engl J Med.2003;348:851855.
        21. Vidyarthi A,Auerbach A.Is 80 the cost of saving lives? Reduced duty hours, errors, and cost.J Gen Intern Med.2005;20:969970.
        22. Solet DJ,Norvell JM,Rutan GH,Frankel RM.Lost in translation: challenges and opportunities in physician‐to‐physician communication during patient handoffs.Acad Med.2005;80:10941099.
        23. British Medical Association.Safe Handover: Safe Patients: Guidance on Clinical Handover for Clinicians and Managers.London:British Medical Association, Junior Doctors Committee;2004.
        24. Petersen LA,Orav EJ,Teich JM,O'Neil AC,Brennan TA.Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events.Jt Comm J Qual Improv.1998;24(2):7787.
        25. Van Eaton EG,Horvath KD,Lober WB,Pellegrini CA.Organizing the transfer of patient care information: the development of a computerized resident sign‐out system.Surgery.2004;136:513.
        26. Van Eaton EG,Horvath KD,Lober WB,Rossini AJ,Pellegrini CA.A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours.J Am Coll Surg.2005;200:538545.
        27. Ash JS,Gorman PN,Seshadri V,Hersh WR.Computerized physician order entry in U.S. hospitals: results of a 2002 survey.J Am Med Inform Assoc.2004;11:9599.
        28. Martin K,Carter L,Balciunas D,Sotoudeh F,Moore D,Westerfield J.The impact of verbal communication on physician prescribing patterns in hospitalized patients with diabetes.Diabetes Educ.2003;29:827836.
        29. Kilpatrick ES,Holding S.Use of computer terminals on wards to access emergency test results: a retrospective audit.Br Med J.2001;322:11011103.
        30. Barenfanger J,Sautter RL,Lang DL,Collins SM,Hacek DM,Peterson LR.Improving patient safety by repeating (read‐back) telephone reports of critical information.Am J Clin Pathol.2004;121:801803.
        31. Leonard M GS,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13(Suppl 1):i85i90.
        32. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14:401407.
        33. Carty M,Smith C,Schnipper JL.Intern curriculum: the impact of a focused training program on the process and content of signout out patients. Harvard Medical School Education Day, Boston, MA;2004.
        34. Coiera E.When conversation is better than computation.J Am Med Inform Assoc.2000;7:277286.
        35. SBAR technique for communication: a situational briefing model. Available at: http://www.ihi.org/IHI/Topics/PatientSafety/SafetyGeneral/Tools/SBARTechniqueforCommunicationASituationalBriefingModel.htm. Accessed December2005.
        36. Vidyarthi AKP,Katz PP,Wall SD,Wachter RM,Auerbach AD.Impact of reduced duty hours on residents' educational satisfaction at the University of California, San Francisco.Acad Med.2006;81:7681.
        37. Coiera E,Tombs V.Communication behaviours in a hospital setting: an observational study.Br Med J.1998;316:673676.
        38. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishapsAcad Med.2004;79(2):186194.
        References
        1. Philibert I,Friedmann P,Williams WT.New requirements for resident duty hours.JAMA.2002;288:11121114.
        2. Barden CB,Specht MC,McCarter MD,Daly JM,Fahey TJ.Effects of limited work hours on surgical training.J Am Coll Surg.2002;195:531538.
        3. Lockley SW,Cronin JW,Evans EE, et al.Effect of reducing interns' weekly work hours on sleep and attentional failures.N Engl J Med.2004;351:18291837.
        4. Landrigan CP,Rothschild JM,Cronin JW, et al.Effect of reducing interns' work hours on serious medical errors in intensive care units.N Engl J Med.2004;351:18381848.
        5. Mukherjee S.A precarious exchange.N Engl J Med.2004;351:18221824.
        6. Drazen JM.Awake and informed.N Engl J Med.2004;351:1884.
        7. Vidyarthi A. Fumbled handoff: missed communication between teams. Cases and Commentary: Hospital Medicine, Morbidity 269:374378.
        8. Petersen LA,Brennan TA,O'Neil AC,Cook EF,Lee TH.Does housestaff discontinuity of care increase the risk for preventable adverse events?Ann Intern Med.1994;121:866872.
        9. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5:501505.
        10. Gottlieb DJ,Parenti CM,Peterson CA,Lofgren RP.Effect of a change in house staff work schedule on resource utilization and patient care.Arch Intern Med.1991;151:20652070.
        11. Wachter RM,Shojania KG.Internal Bleeding: the Truth behind America's Terrifying Epidemic of Medical Mistakes.New York City:Rugged Land, LLC;2004:448.
        12. Pizzi L,Goldfarb NI,Nash DB.Crew resource management and its applications in medicine. In:Making Health Care Safer: A Critical Analysis of Patient Safety Practices. Evidence Report/Technology Assessment Number 43, AHRQ Publication 01‐E058.Rockville, MD:Agency for Healthcare Research and Quality;2001.
        13. Helmreich RL,Klineet JR,Wilhelm JA.System safety and threat and error management: the line operations safety audit (LOSA). In:Jensen RS, ed. Proceedings of the Eleventh International Symposium on Aviation Psychology.Columbus, OH:Ohio State University;2001:16.
        14. Thomas EJ,Sexton JB,Helmreich RL.Translating teamwork behaviours from aviation to healthcare: development of behavioural markers for neonatal resuscitation.Qual Saf Health Care.2004;13(Suppl 1):i57i64.
        15. Patterson ES RB,Woods DD,Chow R,Gomoes JO.Handoff strategies in settings with high consequences for failure: lessons for healthcare operations.Intl J Qual Health Care.2004;16:125132.
        16. Ambler S. Available at: http://www.agilemodeling.com/essays/communication.htm. Accessed December 15,2005.
        17. Miller C.Ensuring continuing care: styles and efficiency of the handover process.Aust J Adv Nurs.1998;16:2327.
        18. Manias E,Street A.The handover: uncovering the hidden practices of nurses.Intensive Crit Care Nurs.2000;16:373383.
        19. Sherlock C.The patient handover: a study of its form, function and efficiency.Nurs Stand.1995;9(52):3336.
        20. Volpp KGM,Grande D.Residents' suggestions for reducing errors in teaching hospitals.N Engl J Med.2003;348:851855.
        21. Vidyarthi A,Auerbach A.Is 80 the cost of saving lives? Reduced duty hours, errors, and cost.J Gen Intern Med.2005;20:969970.
        22. Solet DJ,Norvell JM,Rutan GH,Frankel RM.Lost in translation: challenges and opportunities in physician‐to‐physician communication during patient handoffs.Acad Med.2005;80:10941099.
        23. British Medical Association.Safe Handover: Safe Patients: Guidance on Clinical Handover for Clinicians and Managers.London:British Medical Association, Junior Doctors Committee;2004.
        24. Petersen LA,Orav EJ,Teich JM,O'Neil AC,Brennan TA.Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events.Jt Comm J Qual Improv.1998;24(2):7787.
        25. Van Eaton EG,Horvath KD,Lober WB,Pellegrini CA.Organizing the transfer of patient care information: the development of a computerized resident sign‐out system.Surgery.2004;136:513.
        26. Van Eaton EG,Horvath KD,Lober WB,Rossini AJ,Pellegrini CA.A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours.J Am Coll Surg.2005;200:538545.
        27. Ash JS,Gorman PN,Seshadri V,Hersh WR.Computerized physician order entry in U.S. hospitals: results of a 2002 survey.J Am Med Inform Assoc.2004;11:9599.
        28. Martin K,Carter L,Balciunas D,Sotoudeh F,Moore D,Westerfield J.The impact of verbal communication on physician prescribing patterns in hospitalized patients with diabetes.Diabetes Educ.2003;29:827836.
        29. Kilpatrick ES,Holding S.Use of computer terminals on wards to access emergency test results: a retrospective audit.Br Med J.2001;322:11011103.
        30. Barenfanger J,Sautter RL,Lang DL,Collins SM,Hacek DM,Peterson LR.Improving patient safety by repeating (read‐back) telephone reports of critical information.Am J Clin Pathol.2004;121:801803.
        31. Leonard M GS,Bonacum D.The human factor: the critical importance of effective teamwork and communication in providing safe care.Qual Saf Health Care.2004;13(Suppl 1):i85i90.
        32. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14:401407.
        33. Carty M,Smith C,Schnipper JL.Intern curriculum: the impact of a focused training program on the process and content of signout out patients. Harvard Medical School Education Day, Boston, MA;2004.
        34. Coiera E.When conversation is better than computation.J Am Med Inform Assoc.2000;7:277286.
        35. SBAR technique for communication: a situational briefing model. Available at: http://www.ihi.org/IHI/Topics/PatientSafety/SafetyGeneral/Tools/SBARTechniqueforCommunicationASituationalBriefingModel.htm. Accessed December2005.
        36. Vidyarthi AKP,Katz PP,Wall SD,Wachter RM,Auerbach AD.Impact of reduced duty hours on residents' educational satisfaction at the University of California, San Francisco.Acad Med.2006;81:7681.
        37. Coiera E,Tombs V.Communication behaviours in a hospital setting: an observational study.Br Med J.1998;316:673676.
        38. Sutcliffe KM,Lewton E,Rosenthal MM.Communication failures: an insidious contributor to medical mishapsAcad Med.2004;79(2):186194.
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