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IPC—The Hospitalist Company, North Hollywood, California
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Epstein
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MD

The latest research you need to know

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The latest research you need to know

Literature at a Glance

Does management of ICU patients by critical care physicians reduce mortality?

Background: There is variation in the extent of involvement by critical care physicians in managing patients in ICUs. Several small studies have demonstrated improved outcomes when patients are managed by critical care physicians. This study expanded these findings by examining a national database of multiple ICUs.

Study design: Retrospective database analysis.

Setting: 123 ICUs in 100 U.S. hospitals

Synopsis: Using a national database of ICU patients, 101,832 admissions were analyzed. Controlling for ICU characteristics, patient demographics, and severity of illness (SOI), the impact of critical care management (CCM) on the primary outcome of hospital mortality was analyzed. Patients who received CCM had higher SOI, received more procedures, and had higher mortality rates than those who did not receive CCM. After adjustment for these variables, hospital mortality rates were higher for those patients who received CCM.

CLINICAL SHORTS

By Bradley Sharpe, MD, Rachael Lucatorto, MD, Lindsay Mazotti, MD, Nima Afshar, MD, Diane Sliwka, MD, University of California, San Francisco Division of Hospital Medicine

EVEROLIMUS STENTS REDUCE RESTENOSIS

Randomized trial comparing everolimus- to paclitaxel-eluting stents in coronary artery disease showed decreased restenosis (nine month angiography) and fewer major adverse cardiac events at one year in the everolimus group.

Citation: Stone GW, Midei M, Newman W, et al. Comparison of an everolimus-eluting stent and a paclitaxel-eluting stent in patients with coronary artery disease: a randomized trial. JAMA. 2008;299(16):1903-1913.

INVASIVE GROUP B INFECTION RATES LOWER IN INFANTS, HIGHER IN ADULTS

In a population-based surveillance study, the incidence of invasive group B streptococcal disease in the United States decreased in newborns but increased and remains substantial in adults.

Citation: Phares CR, Lynfield R, Farley MM, et al. Epidemiology of invasive group B streptococcal disease in the United States, 1999-2005. JAMA. 2008;299(17):2056-2065.

Beta-lactams Equivalent to Non-beta-lactams for Cellulitis

Retrospective observational study of 861 veterans with uncomplicated cellulitis showed oral beta-lactams had a failure rate (14.7%) equal to that of oral non-beta-lactams (17%) with fewer adverse effects.

Citation: Madaras-Kelly KJ, Remington RE, Oliphant CM, et al. Efficacy of oral beta-lactam versus non-beta-lactam treatment of uncomplicated cellulitis. Am J Med. 2008;121:419-425.

DON’T TRANSFUSE OLD BLOOD IN CARDIAC SURGERY

A single-center, retrospective study showed transfusion of red blood cells that had been stored more than 14 days was associated with worse outcomes, including sepsis, longer intubation, renal failure, and short- and long-term mortality, after cardiac surgery.

Citation: Koch C, Li L, Sessler D, et al. Duration of red-cell storage and complications after cardiac surgery. N Engl J Med. 2008;358:1229-1239.

ALENDRONATE USE ASSOCIATED WITH ATRIAL FIBRILLATION

In a case-control study of women in a clinical practice setting, every use of alendronate was associated with a higher risk of incident atrial fibrillation (OR 1.86).

Citation: Heckbert SR, Li G, Cummings SR, Smith NI, Psaty BM. Use of alendronate and risk of incident atrial fibrillation in women. Arch Intern Med. 2008;168(8):826-831.

MEDICARE D BENEFICIARIES DON’T UNDERSTAND COST SHARING

A telephone survey of Medicare beneficiaries revealed limited knowledge of Part D cost sharing and evidence of frequent behavioral change to pay for gaps in coverage.

Citation: Hsu J, Fung V, Price M, et al. Medicare beneficiaries’ knowledge of Part D prescription drug program benefits and responses to drug costs. JAMA. 2008;299(16);1929-1936.

MEDICARE D DECREASES NON-ADHERENCE

This observational study demonstrated decreases in cost-related medication non-adherence and reduced prevalence of foregoing food and basic needs to pay for medications one year after the implementation of Medicare Part D.

Citation: Madden JM, Graves AJ, Zhang F, et al. Cost-related medication non-adherence and spending on basic needs following implementation of Medicare Part D. JAMA. 2008;299(16):1922-1928.

LONG-ACTING BETA-AGONISTS SAFE, EFFECTIVE IN COPD

Meta-analysis of randomized controlled trials found that, compared with placebo, long-acting beta-agonists reduce severe exacerbations and improve airflow, quality of life, and rescue medication use in COPD.

Citation: Gustavo JR, Nannini LJ, Rodriguez-Roisin R. Safety of long-acting beta-agonists in stable COPD. Chest. 2008;133:1079-1087.

 

 

Because this was a retrospective analysis, it is not possible to state there was a causal relationship between care by a critical care physician and worse outcome. Other unmeasured clinical differences between the patients receiving CCM and those that did not may have existed that resulted in the higher mortality. Additionally, although the database identified management by a critical care physician, it did not differentiate whether the management was by a full-time intensivist. Therefore, conclusions cannot be made regarding the value of full-time, on-site intensivist management.

Bottom line: Additional analysis is required to determine the value of intensivists in the management of critically ill patients.

Citation: Levy MM, Rapoport J, Lemeshow S, Chalfin DB, Phillips G, Danis M. Association between critical care physician management and patient mortality in the intensive care unit. Ann Int Med 2008; 148: 801-809.

What is the frequency of iatrogenic drug overdose in patients with renal insufficiency?

Background: The Institute of Medicine Report, “To Err is Human” suggested 7,000 deaths occur annually because of medication errors. Renal insufficiency is relatively common in hospitalized patients. Previous studies have suggested overdose of medications is frequent in patients with renal insufficiency. There is a lack of large-scale studies identifying the most commonly overdosed medications and the predictive physician factors for these errors.

Study design: Retrospective observational study.

Setting: A single 1,080-bed tertiary teaching hospital

Synopsis: A clinical data mart was constructed that contained 48 months of prescription data, serum creatinine levels, along with physician characteristics. 28,954 patients with renal insufficiency had 431,119 prescription orders to analyze. 3.5% of drug doses were found excessive. The overdose rate in patients with moderate to severe renal insufficiency was 28.2%. 10 drugs accounted for 85.4% of the overdoses. There was a negative correlation between physician clinical experience and overdose rate.

Study results are limited by the study’s retrospective nature. Further, the prescribed dose was presumed to be the dose actually administered, and there were no data on the actual doses given to patients. The study was limited to a single institution and may not be generalizable.

Bottom line: Iatrogenic drug overdose is quite common among inpatients with renal insufficiency. Only a few drugs are commonly responsible. The physicians’ clinical experience, workload of prescriptions, and patients’ renal function correlated with overdose.

Citation: Sheen SS, Choi JE, Park RW, Kim EY, Lee YH, Kang UG. Overdoser rate of drugs requiring renal dose adjustment: data analysis of 4 years prescriptions at a tertiary teaching hospital. J Gen Intern Med 2007;23(4):423-8

Will a national education program based on the “Surviving Sepsis Campaign” guidelines improve survival and processes of care?

Background: Sepsis is one of the most prevalent diseases and one of the main causes of death among hospitalized patients. Several single-center studies have suggested quality improvement efforts based on the Surviving Sepsis Guidelines were associated with better outcomes.

Study design: Prospective multicenter before-and-after study design.

Setting: 59 medical and surgical ICUs throughout Spain.

Synopsis: 854 patients with severe sepsis were enrolled in the pre–intervention group. The intervention consisted of education on the use of bundles of care. The treatment was organized into two bundles: a resuscitation bundle (six tasks to be performed within six hours) and a management bundle (four tasks to be completed within 24 hours). 1,465 patients were enrolled in the post-training period. Hospital mortality, adherence to the bundles, ICU mortality, 28-day mortality, hospital and ICU length of stay were measured.

Patients in the post-intervention group had lower mortality (44.0% vs. 39.5% P=0.04) and better compliance with the bundles improved. No other outcomes improved. One year later, mortality gains persisted but compliance with the resuscitation bundle had lapsed.

 

 

This study did not employ a control group, making it difficult to ascribe the improvement in compliance solely to the training given (some improvement in processes may have occurred independent of the training).

Bottom line: A national education effort to promote bundles of care for severe sepsis and septic shock was associated with improved guideline compliance and lower hospital mortality.

Citation: Ferrer R, Artigas A, Levy MM, et al. Improvement in process of care and outcomes after a multicenter severe sepsis educational program in Spain. JAMA 2008;299(19):2294-2303.

Can SSRI and problem-solving therapy reduce the incidence of depression in non-depressed patients with a recent stroke?

Background: Depression occurs in more than half of previously non-depressed patients after a stroke. Post-stroke depression is associated with impaired recovery and increased mortality.

Study design: A multicenter randomized controlled trial.

Setting: Two urban university-affiliated hospitals and a suburban rehabilitation hospital in the U.S.

Synopsis: 178 patients age 50 to 90 were enrolled within three months of an index stroke in a 12-month trial. The patients were randomized into three groups of a double-blind placebo control comparison of escitalopram with placebo, and non-blinded problem-solving therapy group.

During the period of the trial, patients on escitalopram experienced significant reductions in the incidence of depression versus placebo (23.1% vs. 34.5%). Problem-solving therapy did not result in significant benefit over the placebo.

The study results were limited by several factors. The study did not include all patients with acute stroke, employed a relatively small sample size, used a non-blinded psychological problem-solving therapy group, and had a high drop out rate.

Bottom line: Consider SSRI use to prevent depression in post-stroke patients.

Citation: Robinson RG, Jorge RE, Moser DJ, et. al. Escitalopram and problem-solving therapy for prevention of post stroke depression: a randomized controlled trial. JAMA 2008;299 (20):2391-2400

CLINICAL SHORTS

By Kenneth Epstein, MD, Brian Donovan, MD, Augustine Osagie, MD, Richard Otto, MD, Marium Steele, MD

SUBCUTANEOUS METHYLNALTREXONE RAPIDLY REVERSES THE EFFECT OF OPIOID-INDUCED CONSTIPATION

A double-blind randomized trial of patients with opioid-induced constipation demonstrated that methylnaltrexone was more successful than placebo in inducing defecation within four hours, without affecting analgesia or causing opioid withdrawal.

Citation: Thomas J, Karver S, Cooney GA, Chamberlain BH, Watt CK, et al. Methylnaltrexone for opioid-induced constipation in advanced illness. N Engl J Med. 2008;358:2332-43.

PRUCALOPRIDE IMPROVES BOWEL FUNCTION IN PATIENTS WITH SEVERE CONSTIPATION

Multicenter, randomized, placebo controlled, parallel-group phase 3 trial of prucalopride in patients with severe constipation demonstrated significant improvement in bowel function versus placebo.

Citation: Camilleri M, Kerstens R, Rykx A, Vandeplassche L. A placebo controlled trial of prucalopride for severe chronic constipation. N Engl J Med. 2008;358:2344-2354

SURVEILLANCE CULTURES FOR METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS (MRSA) IN ICU PATIENTS DO NOT IMPROVE OUTCOMES.

A systematic review of the literature on the use of surveillance cultures and control of MRSA infection found no high quality articles to support this strategy.

Citation: McGingle KL, Gourley ML, Buchanan IB. The use of active surveillance cultures in adult intensive care units to reduce methicillin-resistant Staphylococcus aureus-related morbidity, mortality, and costs: A systematic review. Clin Infect Dis 2008;46:1717-25.

OSTEOPOROSIS MEDICATION USE LOW IN OSTEOPOROTIC NURSING HOME PATIENTS

A 10-year observational study demonstrated that only 11.5% of patients admitted to a nursing home after suffering hip, wrist or humeral fracture received osteoporosis medications.

Citation: Parikh S, Mogun H, Avorn J, Solomon DH. Osteoporosis medication use in nursing home patients with fractures in 1 US state. Arch Intern Med. 2008;168(10):1111-1115

LOW DIABETIC NUMERACY SKILL ASSOCIATED WITH POOR GLYCEMIC CONTROL

A cross-sectional survey of diabetics showed that low diabetic numeracy skills were associated with possibly poorer glycemic control, including hemoglobin A1c levels of 7.65% versus 7.1%.

Citation: Cavanaugh K, Hulzinga MM, Wallston KA, et.al. Association of numeracy and diabetes control. Ann Intern Med. 2008;148(10):737-746.

INADEQUATE KNOWLEDGE OF ACS IN PATIENTS WITH CORONARY ARTERY DISEASE

A survey of patients with a history of acute myocardial infarction or invasive cardiac procedures for ischemic heart disease showed their knowledge of acute coronary syndrome symptoms and treatment options remained poor.

Citation: Dracup K, McKinley S, Doering LV, et.al. Acute coronary syndrome: What do patients know? Arch Intern Med. 2008;168(10):1049-1054.

POOR ACADEMIC AND BEHAVIORAL PERFORMANCE DURING RESIDENCY PREDICTS LICENSING BOARD ACTION

A retrospective cohort study found low ABIM test scores and poor professionalism ratings during internal medicine residency correlated on a continuum basis with future state licensing board actions.

Citation: Papadakis MA, Arnold GK, Blank LL. Holmboe ES, Lipner RS. Performance during internal medicine residency training and subsequent disciplinary action by state licensing boards. Ann Intern Med. 2008;148:869-876.

MEASUREMENT OF URINARY NEUTROPHIL GELATINASE-ASSOCIATED LIPOCALIN (NGAL) PREDICTS ACUTE KIDNEY INJURY

Prospective cohort study compared the measurement of NGAL with other proteins and serum creatinine and found the measurement of NGAL better predicts renal injury and poor patient outcomes.

Citation: Nickolas TL, O’Rourke MJ, Yang J, et al. Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med. 2008;148:810-819

PATIENTS SEEM LESS CONCERNED ABOUT PHYSICIAN FATIGUE AND MEDICAL CONTINUITY OF CARE THAN THE MEDIA SUGGESTS

A survey revealed most patients did not worry about the fatigue of their doctors or the discontinuity of medical care as implied by ACGME requirement of resident work hours.

Citation: Fletcher K, Wiest F, Halasyamani L, et al. How do hospitalized patients feel about resident work hours fatigue, and discontinuity of care? J Gen Intern Med. 2008;23(5):623-8.

RAPID RESUSCITATION WITH ACTUAL PERFORMANCE INTEGRATED DEBRIEFING IMPROVES QUALITY OF CPR

Evaluating the quality of CPR by feedback defibrillators and performance debriefing improved the return of spontaneous circulation but did not result in a significant difference of survival at discharge.

Citation: Edelson D, Litzinger B, Arora V, et al. Improving in-hospital cardiac arrest process and outcome with performance debriefing. Arch Intern Med. 2008;168(10):1063-1069.

 

 

Do stop orders for indwelling urinary catheters reduce the duration of inappropriate urinary catheterization and incidence of urinary tract infection?

Background: About 25% of hospitalized patients have an indwelling urinary catheter inserted, and in 30% to 50% of these patients, urinary catheters are not indicated. Approximately 50% of patients with a catheter inserted for five days or more will develop bacteriuria with about 80% of hospital-acquired urinary tract infections occurring in patients with a urinary catheter.

Study design: A randomized controlled study.

Setting: Three tertiary care hospitals in Ontario, Canada.

Synopsis: 692 patients with indwelling urinary catheters admitted to seven general medical units in three tertiary care hospitals from January 2004 to June 2006 were randomized into two groups: 269 in the stop-order group, and 252 in the usual care group. Patients in the stop-order group had fewer days of inappropriate and total urinary catheter used (2.20 days) compared with the usual care group (3.89 days). There was no difference in the incidence of urinary tract infection between both groups.

Study results were limited by several factors, including a lack of control for exposure of participants to antimicrobials, missing urine cultures, and lack of evaluation of the effect of reducing urinary catheter use on mobility and quality of life. The 1.34-day reduction in the duration of catheterization may not be sufficient to significantly reduce bacteriuria.

Bottom line: Consider using stop orders in all patients with indwelling urinary catheters.

Citation: Loeb M, Hunt D, O’Halloran K, et. al. Stop orders to reduce inappropriate urinary catheterization in hospitalized patients: a randomized control trial. J Gen Intern Med 2008;23(6):816-820.

Does interrupting anticoagulation in patients with atrial fibrillation undergoing surgery cause an increased rate of thromboembolism?

Background: There is a known risk of thromboembolism (between 0.5% and 20% annually) in patients with atrial fibrillation. Studies are limited regarding the risk of thromboembolism with holding anticoagulation in the perioperative period for nonvalvular atrial fibrillation. This study attempted to answer this question.

Study design: Prospective cohort.

Setting: Thromboembolism clinic of the Mayo Clinic.

Synopsis: 345 patients with nonvalvular atrial fibrillation whose anticoagulation was perioperatively held were monitored for three months after surgery for thromboembolic events. Warfarin therapy was held for 5.3 days +/- three days before surgery and restarted 1.3 days +/- 3.4 days after surgery. Bridging heparin therapy was used for 204/386 procedures.

Four patients suffered six thromboembolic events; two patients while receiving bridging heparin therapy and two without heparin. The total incidence of thromboembolic events was 1.1%. This is compared with an expected incidence of 0.09% to 2.07% for patients with atrial fibrillation on warfarin. Bleeding complications rates were also low.

The authors recognized a possible selection bias and the fact patients who received bridging heparin therapy were not randomized. Despite these potential flaws, there seems to be minimal risk of holding anticoagulation in the perioperative period. Bridging heparin therapy added no additional benefit.

Bottom line: There is no increased risk of thromboembolism if anticoagulation is interrupted without bridging therapy in nonvalvular atrial fibrillation patients undergoing surgery.

Citation: Wysokinski WE, McBane RD, Daniels PR, et al. Periprocedural anticoagulation management of patients with nonvalvular atrial fibrillation. Mayo Clinic Proceedings 2008;83(6):639-645.

Are obese patients under-dosed when prescribed intravenous vancomycin?

Background: Weight-based vancomycin dosing has been recommended by the Infectious Diseases Society of America, yet flat dosing is still commonly employed. Flat dosing has the potential of increasing resistance and having adverse clinical effects.

Study design: Retrospective cohort.

Setting: Two tertiary care medical centers without pharmacy-guided vancomycin dosing programs.

 

 

Synopsis: A retrospective review was done of pharmacy prescription files at two tertiary care medical centers that did not have pharmacy-guided vancomycin programs. Patients were divided into cohorts based on their body mass index: underweight (<18.5 kg/sqm) normal weight (18.5-24.9 kg/sqm) overweight (25.0-29.9 kg/sqm) and obese (>29.9 kg/sqm). Each class was studied for rates of adequate vancomycin dosing which was defined as >10 mg/kg/dose. A total of 421 patients were included. There were no other dissimilar baseline characteristics. Total daily dose was similar for all groups with adequate initial dosing achieved in 100%, 99.0%, 93.9% and 27.7% for underweight, normal weight, overweight and obese patients, respectively.

Bottom line: Use weight-based dosing of vancomycin to limit the possibility of under-dosing in obese patients.

Citation: Hall RG, Payne KD, Bain AB, et al. Multicenter evaluation of vancomycin dosing: emphasis on obesity. Am J of Med. 2008;121:515-518.

What is the rate of adverse events with short-term antipsychotic therapy in elderly demented patients?

Study design: Population-based retrospective cohort study.

Setting: Community-dwelling cohort and nursing home cohort.

Synopsis: A cohort of patients from Ontario age 66 and older with the diagnosis of dementia and a prescription for an anti-psychotic drug between April 1, 1997, and March 31, 2004, were divided into two groups by where they lived (community or nursing home). Each cohort was further divided into three groups based on antipsychotic exposure of none, atypical, or conventional.

All serious adverse events (defined as extra-pyramidal symptoms (EPS), cerebrovascular events, and acute care hospital admission or death) were evaluated within 30 days of initiating therapy. In the community group, individuals who received conventional antipsychotic therapy were 3.8 times more likely to have an adverse event compared with the group taking no antipsychotics. The patients prescribed an atypical antipsychotic medicine were 3.2 times more likely to experience an adverse event. In the nursing home group, patients who received conventional and atypical antipsychotic therapy were 2.4 and 1.9 times more likely to have a serious adverse event, respectively.

Bottom line: Serious events are frequent following the short-term use of antipsychotic therapy in older adults with dementia. Serious adverse events were more common among those who received a prescription for conventional rather than atypical antipsychotic drugs.

Citation: Rochon PA, Normand SL, Gomes T, et al. Antipsychotic therapy and short-term serious events in older adults with dementia. Arch Intern Med. 2008;168(10):1090-1096

What is the association between troponin levels and adverse events in hospitalized patients with acute decompensated heart failure?

Background: There were more than 1 million hospitalizations for heart failure in 2007, making it the most costly medical condition based on diagnosis and treatment. Evidence suggests an initial risk stratification process allows for earlier implementation of aggressive therapy, which can affect hospital utilization.

Study design: Retrospective analysis of Acute Decompensated Heart Failure National Registry (ADHERE).

Setting: Hospitalization records from 274 hospitals from October 2001 to January 2004.

Synopsis: Evaluation of the data from ADHERE for outcomes associated with elevated troponin levels in patients with acute decompensated heart failure (ADHF). Patients who had a creatinine level above 2.0 mg per deciliter were excluded.

Cardiac troponin I was measured in 61,379 patients and cardiac troponin T in 7880 patients. Overall, 4,240 patients (6.2%) had an elevated troponin level. Troponin positive patients had a higher rate of in-hospital mortality than troponin negative patients (8.0% vs. 2.7%, P<0.001). The adjusted odds ratio for death among patients with a positive troponin test was 2.55. Ischemic heart failure was present in 53% of the troponin positive patients and was not a useful predictor of troponin status or mortality.

 

 

Bottom line: Measurement of troponin is an important prognostic indicator in the initial evaluation of patients with ADHF. This early assessment of risk should be factored into medical decisions with respect to triage and medical management.

Citation: Peacock FW, De Marco T, Fonarow GC, et al. Cardiac troponin and outcome in acute heart failure. N Engl J Med 2008;358:2117-26

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Literature at a Glance

Does management of ICU patients by critical care physicians reduce mortality?

Background: There is variation in the extent of involvement by critical care physicians in managing patients in ICUs. Several small studies have demonstrated improved outcomes when patients are managed by critical care physicians. This study expanded these findings by examining a national database of multiple ICUs.

Study design: Retrospective database analysis.

Setting: 123 ICUs in 100 U.S. hospitals

Synopsis: Using a national database of ICU patients, 101,832 admissions were analyzed. Controlling for ICU characteristics, patient demographics, and severity of illness (SOI), the impact of critical care management (CCM) on the primary outcome of hospital mortality was analyzed. Patients who received CCM had higher SOI, received more procedures, and had higher mortality rates than those who did not receive CCM. After adjustment for these variables, hospital mortality rates were higher for those patients who received CCM.

CLINICAL SHORTS

By Bradley Sharpe, MD, Rachael Lucatorto, MD, Lindsay Mazotti, MD, Nima Afshar, MD, Diane Sliwka, MD, University of California, San Francisco Division of Hospital Medicine

EVEROLIMUS STENTS REDUCE RESTENOSIS

Randomized trial comparing everolimus- to paclitaxel-eluting stents in coronary artery disease showed decreased restenosis (nine month angiography) and fewer major adverse cardiac events at one year in the everolimus group.

Citation: Stone GW, Midei M, Newman W, et al. Comparison of an everolimus-eluting stent and a paclitaxel-eluting stent in patients with coronary artery disease: a randomized trial. JAMA. 2008;299(16):1903-1913.

INVASIVE GROUP B INFECTION RATES LOWER IN INFANTS, HIGHER IN ADULTS

In a population-based surveillance study, the incidence of invasive group B streptococcal disease in the United States decreased in newborns but increased and remains substantial in adults.

Citation: Phares CR, Lynfield R, Farley MM, et al. Epidemiology of invasive group B streptococcal disease in the United States, 1999-2005. JAMA. 2008;299(17):2056-2065.

Beta-lactams Equivalent to Non-beta-lactams for Cellulitis

Retrospective observational study of 861 veterans with uncomplicated cellulitis showed oral beta-lactams had a failure rate (14.7%) equal to that of oral non-beta-lactams (17%) with fewer adverse effects.

Citation: Madaras-Kelly KJ, Remington RE, Oliphant CM, et al. Efficacy of oral beta-lactam versus non-beta-lactam treatment of uncomplicated cellulitis. Am J Med. 2008;121:419-425.

DON’T TRANSFUSE OLD BLOOD IN CARDIAC SURGERY

A single-center, retrospective study showed transfusion of red blood cells that had been stored more than 14 days was associated with worse outcomes, including sepsis, longer intubation, renal failure, and short- and long-term mortality, after cardiac surgery.

Citation: Koch C, Li L, Sessler D, et al. Duration of red-cell storage and complications after cardiac surgery. N Engl J Med. 2008;358:1229-1239.

ALENDRONATE USE ASSOCIATED WITH ATRIAL FIBRILLATION

In a case-control study of women in a clinical practice setting, every use of alendronate was associated with a higher risk of incident atrial fibrillation (OR 1.86).

Citation: Heckbert SR, Li G, Cummings SR, Smith NI, Psaty BM. Use of alendronate and risk of incident atrial fibrillation in women. Arch Intern Med. 2008;168(8):826-831.

MEDICARE D BENEFICIARIES DON’T UNDERSTAND COST SHARING

A telephone survey of Medicare beneficiaries revealed limited knowledge of Part D cost sharing and evidence of frequent behavioral change to pay for gaps in coverage.

Citation: Hsu J, Fung V, Price M, et al. Medicare beneficiaries’ knowledge of Part D prescription drug program benefits and responses to drug costs. JAMA. 2008;299(16);1929-1936.

MEDICARE D DECREASES NON-ADHERENCE

This observational study demonstrated decreases in cost-related medication non-adherence and reduced prevalence of foregoing food and basic needs to pay for medications one year after the implementation of Medicare Part D.

Citation: Madden JM, Graves AJ, Zhang F, et al. Cost-related medication non-adherence and spending on basic needs following implementation of Medicare Part D. JAMA. 2008;299(16):1922-1928.

LONG-ACTING BETA-AGONISTS SAFE, EFFECTIVE IN COPD

Meta-analysis of randomized controlled trials found that, compared with placebo, long-acting beta-agonists reduce severe exacerbations and improve airflow, quality of life, and rescue medication use in COPD.

Citation: Gustavo JR, Nannini LJ, Rodriguez-Roisin R. Safety of long-acting beta-agonists in stable COPD. Chest. 2008;133:1079-1087.

 

 

Because this was a retrospective analysis, it is not possible to state there was a causal relationship between care by a critical care physician and worse outcome. Other unmeasured clinical differences between the patients receiving CCM and those that did not may have existed that resulted in the higher mortality. Additionally, although the database identified management by a critical care physician, it did not differentiate whether the management was by a full-time intensivist. Therefore, conclusions cannot be made regarding the value of full-time, on-site intensivist management.

Bottom line: Additional analysis is required to determine the value of intensivists in the management of critically ill patients.

Citation: Levy MM, Rapoport J, Lemeshow S, Chalfin DB, Phillips G, Danis M. Association between critical care physician management and patient mortality in the intensive care unit. Ann Int Med 2008; 148: 801-809.

What is the frequency of iatrogenic drug overdose in patients with renal insufficiency?

Background: The Institute of Medicine Report, “To Err is Human” suggested 7,000 deaths occur annually because of medication errors. Renal insufficiency is relatively common in hospitalized patients. Previous studies have suggested overdose of medications is frequent in patients with renal insufficiency. There is a lack of large-scale studies identifying the most commonly overdosed medications and the predictive physician factors for these errors.

Study design: Retrospective observational study.

Setting: A single 1,080-bed tertiary teaching hospital

Synopsis: A clinical data mart was constructed that contained 48 months of prescription data, serum creatinine levels, along with physician characteristics. 28,954 patients with renal insufficiency had 431,119 prescription orders to analyze. 3.5% of drug doses were found excessive. The overdose rate in patients with moderate to severe renal insufficiency was 28.2%. 10 drugs accounted for 85.4% of the overdoses. There was a negative correlation between physician clinical experience and overdose rate.

Study results are limited by the study’s retrospective nature. Further, the prescribed dose was presumed to be the dose actually administered, and there were no data on the actual doses given to patients. The study was limited to a single institution and may not be generalizable.

Bottom line: Iatrogenic drug overdose is quite common among inpatients with renal insufficiency. Only a few drugs are commonly responsible. The physicians’ clinical experience, workload of prescriptions, and patients’ renal function correlated with overdose.

Citation: Sheen SS, Choi JE, Park RW, Kim EY, Lee YH, Kang UG. Overdoser rate of drugs requiring renal dose adjustment: data analysis of 4 years prescriptions at a tertiary teaching hospital. J Gen Intern Med 2007;23(4):423-8

Will a national education program based on the “Surviving Sepsis Campaign” guidelines improve survival and processes of care?

Background: Sepsis is one of the most prevalent diseases and one of the main causes of death among hospitalized patients. Several single-center studies have suggested quality improvement efforts based on the Surviving Sepsis Guidelines were associated with better outcomes.

Study design: Prospective multicenter before-and-after study design.

Setting: 59 medical and surgical ICUs throughout Spain.

Synopsis: 854 patients with severe sepsis were enrolled in the pre–intervention group. The intervention consisted of education on the use of bundles of care. The treatment was organized into two bundles: a resuscitation bundle (six tasks to be performed within six hours) and a management bundle (four tasks to be completed within 24 hours). 1,465 patients were enrolled in the post-training period. Hospital mortality, adherence to the bundles, ICU mortality, 28-day mortality, hospital and ICU length of stay were measured.

Patients in the post-intervention group had lower mortality (44.0% vs. 39.5% P=0.04) and better compliance with the bundles improved. No other outcomes improved. One year later, mortality gains persisted but compliance with the resuscitation bundle had lapsed.

 

 

This study did not employ a control group, making it difficult to ascribe the improvement in compliance solely to the training given (some improvement in processes may have occurred independent of the training).

Bottom line: A national education effort to promote bundles of care for severe sepsis and septic shock was associated with improved guideline compliance and lower hospital mortality.

Citation: Ferrer R, Artigas A, Levy MM, et al. Improvement in process of care and outcomes after a multicenter severe sepsis educational program in Spain. JAMA 2008;299(19):2294-2303.

Can SSRI and problem-solving therapy reduce the incidence of depression in non-depressed patients with a recent stroke?

Background: Depression occurs in more than half of previously non-depressed patients after a stroke. Post-stroke depression is associated with impaired recovery and increased mortality.

Study design: A multicenter randomized controlled trial.

Setting: Two urban university-affiliated hospitals and a suburban rehabilitation hospital in the U.S.

Synopsis: 178 patients age 50 to 90 were enrolled within three months of an index stroke in a 12-month trial. The patients were randomized into three groups of a double-blind placebo control comparison of escitalopram with placebo, and non-blinded problem-solving therapy group.

During the period of the trial, patients on escitalopram experienced significant reductions in the incidence of depression versus placebo (23.1% vs. 34.5%). Problem-solving therapy did not result in significant benefit over the placebo.

The study results were limited by several factors. The study did not include all patients with acute stroke, employed a relatively small sample size, used a non-blinded psychological problem-solving therapy group, and had a high drop out rate.

Bottom line: Consider SSRI use to prevent depression in post-stroke patients.

Citation: Robinson RG, Jorge RE, Moser DJ, et. al. Escitalopram and problem-solving therapy for prevention of post stroke depression: a randomized controlled trial. JAMA 2008;299 (20):2391-2400

CLINICAL SHORTS

By Kenneth Epstein, MD, Brian Donovan, MD, Augustine Osagie, MD, Richard Otto, MD, Marium Steele, MD

SUBCUTANEOUS METHYLNALTREXONE RAPIDLY REVERSES THE EFFECT OF OPIOID-INDUCED CONSTIPATION

A double-blind randomized trial of patients with opioid-induced constipation demonstrated that methylnaltrexone was more successful than placebo in inducing defecation within four hours, without affecting analgesia or causing opioid withdrawal.

Citation: Thomas J, Karver S, Cooney GA, Chamberlain BH, Watt CK, et al. Methylnaltrexone for opioid-induced constipation in advanced illness. N Engl J Med. 2008;358:2332-43.

PRUCALOPRIDE IMPROVES BOWEL FUNCTION IN PATIENTS WITH SEVERE CONSTIPATION

Multicenter, randomized, placebo controlled, parallel-group phase 3 trial of prucalopride in patients with severe constipation demonstrated significant improvement in bowel function versus placebo.

Citation: Camilleri M, Kerstens R, Rykx A, Vandeplassche L. A placebo controlled trial of prucalopride for severe chronic constipation. N Engl J Med. 2008;358:2344-2354

SURVEILLANCE CULTURES FOR METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS (MRSA) IN ICU PATIENTS DO NOT IMPROVE OUTCOMES.

A systematic review of the literature on the use of surveillance cultures and control of MRSA infection found no high quality articles to support this strategy.

Citation: McGingle KL, Gourley ML, Buchanan IB. The use of active surveillance cultures in adult intensive care units to reduce methicillin-resistant Staphylococcus aureus-related morbidity, mortality, and costs: A systematic review. Clin Infect Dis 2008;46:1717-25.

OSTEOPOROSIS MEDICATION USE LOW IN OSTEOPOROTIC NURSING HOME PATIENTS

A 10-year observational study demonstrated that only 11.5% of patients admitted to a nursing home after suffering hip, wrist or humeral fracture received osteoporosis medications.

Citation: Parikh S, Mogun H, Avorn J, Solomon DH. Osteoporosis medication use in nursing home patients with fractures in 1 US state. Arch Intern Med. 2008;168(10):1111-1115

LOW DIABETIC NUMERACY SKILL ASSOCIATED WITH POOR GLYCEMIC CONTROL

A cross-sectional survey of diabetics showed that low diabetic numeracy skills were associated with possibly poorer glycemic control, including hemoglobin A1c levels of 7.65% versus 7.1%.

Citation: Cavanaugh K, Hulzinga MM, Wallston KA, et.al. Association of numeracy and diabetes control. Ann Intern Med. 2008;148(10):737-746.

INADEQUATE KNOWLEDGE OF ACS IN PATIENTS WITH CORONARY ARTERY DISEASE

A survey of patients with a history of acute myocardial infarction or invasive cardiac procedures for ischemic heart disease showed their knowledge of acute coronary syndrome symptoms and treatment options remained poor.

Citation: Dracup K, McKinley S, Doering LV, et.al. Acute coronary syndrome: What do patients know? Arch Intern Med. 2008;168(10):1049-1054.

POOR ACADEMIC AND BEHAVIORAL PERFORMANCE DURING RESIDENCY PREDICTS LICENSING BOARD ACTION

A retrospective cohort study found low ABIM test scores and poor professionalism ratings during internal medicine residency correlated on a continuum basis with future state licensing board actions.

Citation: Papadakis MA, Arnold GK, Blank LL. Holmboe ES, Lipner RS. Performance during internal medicine residency training and subsequent disciplinary action by state licensing boards. Ann Intern Med. 2008;148:869-876.

MEASUREMENT OF URINARY NEUTROPHIL GELATINASE-ASSOCIATED LIPOCALIN (NGAL) PREDICTS ACUTE KIDNEY INJURY

Prospective cohort study compared the measurement of NGAL with other proteins and serum creatinine and found the measurement of NGAL better predicts renal injury and poor patient outcomes.

Citation: Nickolas TL, O’Rourke MJ, Yang J, et al. Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med. 2008;148:810-819

PATIENTS SEEM LESS CONCERNED ABOUT PHYSICIAN FATIGUE AND MEDICAL CONTINUITY OF CARE THAN THE MEDIA SUGGESTS

A survey revealed most patients did not worry about the fatigue of their doctors or the discontinuity of medical care as implied by ACGME requirement of resident work hours.

Citation: Fletcher K, Wiest F, Halasyamani L, et al. How do hospitalized patients feel about resident work hours fatigue, and discontinuity of care? J Gen Intern Med. 2008;23(5):623-8.

RAPID RESUSCITATION WITH ACTUAL PERFORMANCE INTEGRATED DEBRIEFING IMPROVES QUALITY OF CPR

Evaluating the quality of CPR by feedback defibrillators and performance debriefing improved the return of spontaneous circulation but did not result in a significant difference of survival at discharge.

Citation: Edelson D, Litzinger B, Arora V, et al. Improving in-hospital cardiac arrest process and outcome with performance debriefing. Arch Intern Med. 2008;168(10):1063-1069.

 

 

Do stop orders for indwelling urinary catheters reduce the duration of inappropriate urinary catheterization and incidence of urinary tract infection?

Background: About 25% of hospitalized patients have an indwelling urinary catheter inserted, and in 30% to 50% of these patients, urinary catheters are not indicated. Approximately 50% of patients with a catheter inserted for five days or more will develop bacteriuria with about 80% of hospital-acquired urinary tract infections occurring in patients with a urinary catheter.

Study design: A randomized controlled study.

Setting: Three tertiary care hospitals in Ontario, Canada.

Synopsis: 692 patients with indwelling urinary catheters admitted to seven general medical units in three tertiary care hospitals from January 2004 to June 2006 were randomized into two groups: 269 in the stop-order group, and 252 in the usual care group. Patients in the stop-order group had fewer days of inappropriate and total urinary catheter used (2.20 days) compared with the usual care group (3.89 days). There was no difference in the incidence of urinary tract infection between both groups.

Study results were limited by several factors, including a lack of control for exposure of participants to antimicrobials, missing urine cultures, and lack of evaluation of the effect of reducing urinary catheter use on mobility and quality of life. The 1.34-day reduction in the duration of catheterization may not be sufficient to significantly reduce bacteriuria.

Bottom line: Consider using stop orders in all patients with indwelling urinary catheters.

Citation: Loeb M, Hunt D, O’Halloran K, et. al. Stop orders to reduce inappropriate urinary catheterization in hospitalized patients: a randomized control trial. J Gen Intern Med 2008;23(6):816-820.

Does interrupting anticoagulation in patients with atrial fibrillation undergoing surgery cause an increased rate of thromboembolism?

Background: There is a known risk of thromboembolism (between 0.5% and 20% annually) in patients with atrial fibrillation. Studies are limited regarding the risk of thromboembolism with holding anticoagulation in the perioperative period for nonvalvular atrial fibrillation. This study attempted to answer this question.

Study design: Prospective cohort.

Setting: Thromboembolism clinic of the Mayo Clinic.

Synopsis: 345 patients with nonvalvular atrial fibrillation whose anticoagulation was perioperatively held were monitored for three months after surgery for thromboembolic events. Warfarin therapy was held for 5.3 days +/- three days before surgery and restarted 1.3 days +/- 3.4 days after surgery. Bridging heparin therapy was used for 204/386 procedures.

Four patients suffered six thromboembolic events; two patients while receiving bridging heparin therapy and two without heparin. The total incidence of thromboembolic events was 1.1%. This is compared with an expected incidence of 0.09% to 2.07% for patients with atrial fibrillation on warfarin. Bleeding complications rates were also low.

The authors recognized a possible selection bias and the fact patients who received bridging heparin therapy were not randomized. Despite these potential flaws, there seems to be minimal risk of holding anticoagulation in the perioperative period. Bridging heparin therapy added no additional benefit.

Bottom line: There is no increased risk of thromboembolism if anticoagulation is interrupted without bridging therapy in nonvalvular atrial fibrillation patients undergoing surgery.

Citation: Wysokinski WE, McBane RD, Daniels PR, et al. Periprocedural anticoagulation management of patients with nonvalvular atrial fibrillation. Mayo Clinic Proceedings 2008;83(6):639-645.

Are obese patients under-dosed when prescribed intravenous vancomycin?

Background: Weight-based vancomycin dosing has been recommended by the Infectious Diseases Society of America, yet flat dosing is still commonly employed. Flat dosing has the potential of increasing resistance and having adverse clinical effects.

Study design: Retrospective cohort.

Setting: Two tertiary care medical centers without pharmacy-guided vancomycin dosing programs.

 

 

Synopsis: A retrospective review was done of pharmacy prescription files at two tertiary care medical centers that did not have pharmacy-guided vancomycin programs. Patients were divided into cohorts based on their body mass index: underweight (<18.5 kg/sqm) normal weight (18.5-24.9 kg/sqm) overweight (25.0-29.9 kg/sqm) and obese (>29.9 kg/sqm). Each class was studied for rates of adequate vancomycin dosing which was defined as >10 mg/kg/dose. A total of 421 patients were included. There were no other dissimilar baseline characteristics. Total daily dose was similar for all groups with adequate initial dosing achieved in 100%, 99.0%, 93.9% and 27.7% for underweight, normal weight, overweight and obese patients, respectively.

Bottom line: Use weight-based dosing of vancomycin to limit the possibility of under-dosing in obese patients.

Citation: Hall RG, Payne KD, Bain AB, et al. Multicenter evaluation of vancomycin dosing: emphasis on obesity. Am J of Med. 2008;121:515-518.

What is the rate of adverse events with short-term antipsychotic therapy in elderly demented patients?

Study design: Population-based retrospective cohort study.

Setting: Community-dwelling cohort and nursing home cohort.

Synopsis: A cohort of patients from Ontario age 66 and older with the diagnosis of dementia and a prescription for an anti-psychotic drug between April 1, 1997, and March 31, 2004, were divided into two groups by where they lived (community or nursing home). Each cohort was further divided into three groups based on antipsychotic exposure of none, atypical, or conventional.

All serious adverse events (defined as extra-pyramidal symptoms (EPS), cerebrovascular events, and acute care hospital admission or death) were evaluated within 30 days of initiating therapy. In the community group, individuals who received conventional antipsychotic therapy were 3.8 times more likely to have an adverse event compared with the group taking no antipsychotics. The patients prescribed an atypical antipsychotic medicine were 3.2 times more likely to experience an adverse event. In the nursing home group, patients who received conventional and atypical antipsychotic therapy were 2.4 and 1.9 times more likely to have a serious adverse event, respectively.

Bottom line: Serious events are frequent following the short-term use of antipsychotic therapy in older adults with dementia. Serious adverse events were more common among those who received a prescription for conventional rather than atypical antipsychotic drugs.

Citation: Rochon PA, Normand SL, Gomes T, et al. Antipsychotic therapy and short-term serious events in older adults with dementia. Arch Intern Med. 2008;168(10):1090-1096

What is the association between troponin levels and adverse events in hospitalized patients with acute decompensated heart failure?

Background: There were more than 1 million hospitalizations for heart failure in 2007, making it the most costly medical condition based on diagnosis and treatment. Evidence suggests an initial risk stratification process allows for earlier implementation of aggressive therapy, which can affect hospital utilization.

Study design: Retrospective analysis of Acute Decompensated Heart Failure National Registry (ADHERE).

Setting: Hospitalization records from 274 hospitals from October 2001 to January 2004.

Synopsis: Evaluation of the data from ADHERE for outcomes associated with elevated troponin levels in patients with acute decompensated heart failure (ADHF). Patients who had a creatinine level above 2.0 mg per deciliter were excluded.

Cardiac troponin I was measured in 61,379 patients and cardiac troponin T in 7880 patients. Overall, 4,240 patients (6.2%) had an elevated troponin level. Troponin positive patients had a higher rate of in-hospital mortality than troponin negative patients (8.0% vs. 2.7%, P<0.001). The adjusted odds ratio for death among patients with a positive troponin test was 2.55. Ischemic heart failure was present in 53% of the troponin positive patients and was not a useful predictor of troponin status or mortality.

 

 

Bottom line: Measurement of troponin is an important prognostic indicator in the initial evaluation of patients with ADHF. This early assessment of risk should be factored into medical decisions with respect to triage and medical management.

Citation: Peacock FW, De Marco T, Fonarow GC, et al. Cardiac troponin and outcome in acute heart failure. N Engl J Med 2008;358:2117-26

Literature at a Glance

Does management of ICU patients by critical care physicians reduce mortality?

Background: There is variation in the extent of involvement by critical care physicians in managing patients in ICUs. Several small studies have demonstrated improved outcomes when patients are managed by critical care physicians. This study expanded these findings by examining a national database of multiple ICUs.

Study design: Retrospective database analysis.

Setting: 123 ICUs in 100 U.S. hospitals

Synopsis: Using a national database of ICU patients, 101,832 admissions were analyzed. Controlling for ICU characteristics, patient demographics, and severity of illness (SOI), the impact of critical care management (CCM) on the primary outcome of hospital mortality was analyzed. Patients who received CCM had higher SOI, received more procedures, and had higher mortality rates than those who did not receive CCM. After adjustment for these variables, hospital mortality rates were higher for those patients who received CCM.

CLINICAL SHORTS

By Bradley Sharpe, MD, Rachael Lucatorto, MD, Lindsay Mazotti, MD, Nima Afshar, MD, Diane Sliwka, MD, University of California, San Francisco Division of Hospital Medicine

EVEROLIMUS STENTS REDUCE RESTENOSIS

Randomized trial comparing everolimus- to paclitaxel-eluting stents in coronary artery disease showed decreased restenosis (nine month angiography) and fewer major adverse cardiac events at one year in the everolimus group.

Citation: Stone GW, Midei M, Newman W, et al. Comparison of an everolimus-eluting stent and a paclitaxel-eluting stent in patients with coronary artery disease: a randomized trial. JAMA. 2008;299(16):1903-1913.

INVASIVE GROUP B INFECTION RATES LOWER IN INFANTS, HIGHER IN ADULTS

In a population-based surveillance study, the incidence of invasive group B streptococcal disease in the United States decreased in newborns but increased and remains substantial in adults.

Citation: Phares CR, Lynfield R, Farley MM, et al. Epidemiology of invasive group B streptococcal disease in the United States, 1999-2005. JAMA. 2008;299(17):2056-2065.

Beta-lactams Equivalent to Non-beta-lactams for Cellulitis

Retrospective observational study of 861 veterans with uncomplicated cellulitis showed oral beta-lactams had a failure rate (14.7%) equal to that of oral non-beta-lactams (17%) with fewer adverse effects.

Citation: Madaras-Kelly KJ, Remington RE, Oliphant CM, et al. Efficacy of oral beta-lactam versus non-beta-lactam treatment of uncomplicated cellulitis. Am J Med. 2008;121:419-425.

DON’T TRANSFUSE OLD BLOOD IN CARDIAC SURGERY

A single-center, retrospective study showed transfusion of red blood cells that had been stored more than 14 days was associated with worse outcomes, including sepsis, longer intubation, renal failure, and short- and long-term mortality, after cardiac surgery.

Citation: Koch C, Li L, Sessler D, et al. Duration of red-cell storage and complications after cardiac surgery. N Engl J Med. 2008;358:1229-1239.

ALENDRONATE USE ASSOCIATED WITH ATRIAL FIBRILLATION

In a case-control study of women in a clinical practice setting, every use of alendronate was associated with a higher risk of incident atrial fibrillation (OR 1.86).

Citation: Heckbert SR, Li G, Cummings SR, Smith NI, Psaty BM. Use of alendronate and risk of incident atrial fibrillation in women. Arch Intern Med. 2008;168(8):826-831.

MEDICARE D BENEFICIARIES DON’T UNDERSTAND COST SHARING

A telephone survey of Medicare beneficiaries revealed limited knowledge of Part D cost sharing and evidence of frequent behavioral change to pay for gaps in coverage.

Citation: Hsu J, Fung V, Price M, et al. Medicare beneficiaries’ knowledge of Part D prescription drug program benefits and responses to drug costs. JAMA. 2008;299(16);1929-1936.

MEDICARE D DECREASES NON-ADHERENCE

This observational study demonstrated decreases in cost-related medication non-adherence and reduced prevalence of foregoing food and basic needs to pay for medications one year after the implementation of Medicare Part D.

Citation: Madden JM, Graves AJ, Zhang F, et al. Cost-related medication non-adherence and spending on basic needs following implementation of Medicare Part D. JAMA. 2008;299(16):1922-1928.

LONG-ACTING BETA-AGONISTS SAFE, EFFECTIVE IN COPD

Meta-analysis of randomized controlled trials found that, compared with placebo, long-acting beta-agonists reduce severe exacerbations and improve airflow, quality of life, and rescue medication use in COPD.

Citation: Gustavo JR, Nannini LJ, Rodriguez-Roisin R. Safety of long-acting beta-agonists in stable COPD. Chest. 2008;133:1079-1087.

 

 

Because this was a retrospective analysis, it is not possible to state there was a causal relationship between care by a critical care physician and worse outcome. Other unmeasured clinical differences between the patients receiving CCM and those that did not may have existed that resulted in the higher mortality. Additionally, although the database identified management by a critical care physician, it did not differentiate whether the management was by a full-time intensivist. Therefore, conclusions cannot be made regarding the value of full-time, on-site intensivist management.

Bottom line: Additional analysis is required to determine the value of intensivists in the management of critically ill patients.

Citation: Levy MM, Rapoport J, Lemeshow S, Chalfin DB, Phillips G, Danis M. Association between critical care physician management and patient mortality in the intensive care unit. Ann Int Med 2008; 148: 801-809.

What is the frequency of iatrogenic drug overdose in patients with renal insufficiency?

Background: The Institute of Medicine Report, “To Err is Human” suggested 7,000 deaths occur annually because of medication errors. Renal insufficiency is relatively common in hospitalized patients. Previous studies have suggested overdose of medications is frequent in patients with renal insufficiency. There is a lack of large-scale studies identifying the most commonly overdosed medications and the predictive physician factors for these errors.

Study design: Retrospective observational study.

Setting: A single 1,080-bed tertiary teaching hospital

Synopsis: A clinical data mart was constructed that contained 48 months of prescription data, serum creatinine levels, along with physician characteristics. 28,954 patients with renal insufficiency had 431,119 prescription orders to analyze. 3.5% of drug doses were found excessive. The overdose rate in patients with moderate to severe renal insufficiency was 28.2%. 10 drugs accounted for 85.4% of the overdoses. There was a negative correlation between physician clinical experience and overdose rate.

Study results are limited by the study’s retrospective nature. Further, the prescribed dose was presumed to be the dose actually administered, and there were no data on the actual doses given to patients. The study was limited to a single institution and may not be generalizable.

Bottom line: Iatrogenic drug overdose is quite common among inpatients with renal insufficiency. Only a few drugs are commonly responsible. The physicians’ clinical experience, workload of prescriptions, and patients’ renal function correlated with overdose.

Citation: Sheen SS, Choi JE, Park RW, Kim EY, Lee YH, Kang UG. Overdoser rate of drugs requiring renal dose adjustment: data analysis of 4 years prescriptions at a tertiary teaching hospital. J Gen Intern Med 2007;23(4):423-8

Will a national education program based on the “Surviving Sepsis Campaign” guidelines improve survival and processes of care?

Background: Sepsis is one of the most prevalent diseases and one of the main causes of death among hospitalized patients. Several single-center studies have suggested quality improvement efforts based on the Surviving Sepsis Guidelines were associated with better outcomes.

Study design: Prospective multicenter before-and-after study design.

Setting: 59 medical and surgical ICUs throughout Spain.

Synopsis: 854 patients with severe sepsis were enrolled in the pre–intervention group. The intervention consisted of education on the use of bundles of care. The treatment was organized into two bundles: a resuscitation bundle (six tasks to be performed within six hours) and a management bundle (four tasks to be completed within 24 hours). 1,465 patients were enrolled in the post-training period. Hospital mortality, adherence to the bundles, ICU mortality, 28-day mortality, hospital and ICU length of stay were measured.

Patients in the post-intervention group had lower mortality (44.0% vs. 39.5% P=0.04) and better compliance with the bundles improved. No other outcomes improved. One year later, mortality gains persisted but compliance with the resuscitation bundle had lapsed.

 

 

This study did not employ a control group, making it difficult to ascribe the improvement in compliance solely to the training given (some improvement in processes may have occurred independent of the training).

Bottom line: A national education effort to promote bundles of care for severe sepsis and septic shock was associated with improved guideline compliance and lower hospital mortality.

Citation: Ferrer R, Artigas A, Levy MM, et al. Improvement in process of care and outcomes after a multicenter severe sepsis educational program in Spain. JAMA 2008;299(19):2294-2303.

Can SSRI and problem-solving therapy reduce the incidence of depression in non-depressed patients with a recent stroke?

Background: Depression occurs in more than half of previously non-depressed patients after a stroke. Post-stroke depression is associated with impaired recovery and increased mortality.

Study design: A multicenter randomized controlled trial.

Setting: Two urban university-affiliated hospitals and a suburban rehabilitation hospital in the U.S.

Synopsis: 178 patients age 50 to 90 were enrolled within three months of an index stroke in a 12-month trial. The patients were randomized into three groups of a double-blind placebo control comparison of escitalopram with placebo, and non-blinded problem-solving therapy group.

During the period of the trial, patients on escitalopram experienced significant reductions in the incidence of depression versus placebo (23.1% vs. 34.5%). Problem-solving therapy did not result in significant benefit over the placebo.

The study results were limited by several factors. The study did not include all patients with acute stroke, employed a relatively small sample size, used a non-blinded psychological problem-solving therapy group, and had a high drop out rate.

Bottom line: Consider SSRI use to prevent depression in post-stroke patients.

Citation: Robinson RG, Jorge RE, Moser DJ, et. al. Escitalopram and problem-solving therapy for prevention of post stroke depression: a randomized controlled trial. JAMA 2008;299 (20):2391-2400

CLINICAL SHORTS

By Kenneth Epstein, MD, Brian Donovan, MD, Augustine Osagie, MD, Richard Otto, MD, Marium Steele, MD

SUBCUTANEOUS METHYLNALTREXONE RAPIDLY REVERSES THE EFFECT OF OPIOID-INDUCED CONSTIPATION

A double-blind randomized trial of patients with opioid-induced constipation demonstrated that methylnaltrexone was more successful than placebo in inducing defecation within four hours, without affecting analgesia or causing opioid withdrawal.

Citation: Thomas J, Karver S, Cooney GA, Chamberlain BH, Watt CK, et al. Methylnaltrexone for opioid-induced constipation in advanced illness. N Engl J Med. 2008;358:2332-43.

PRUCALOPRIDE IMPROVES BOWEL FUNCTION IN PATIENTS WITH SEVERE CONSTIPATION

Multicenter, randomized, placebo controlled, parallel-group phase 3 trial of prucalopride in patients with severe constipation demonstrated significant improvement in bowel function versus placebo.

Citation: Camilleri M, Kerstens R, Rykx A, Vandeplassche L. A placebo controlled trial of prucalopride for severe chronic constipation. N Engl J Med. 2008;358:2344-2354

SURVEILLANCE CULTURES FOR METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS (MRSA) IN ICU PATIENTS DO NOT IMPROVE OUTCOMES.

A systematic review of the literature on the use of surveillance cultures and control of MRSA infection found no high quality articles to support this strategy.

Citation: McGingle KL, Gourley ML, Buchanan IB. The use of active surveillance cultures in adult intensive care units to reduce methicillin-resistant Staphylococcus aureus-related morbidity, mortality, and costs: A systematic review. Clin Infect Dis 2008;46:1717-25.

OSTEOPOROSIS MEDICATION USE LOW IN OSTEOPOROTIC NURSING HOME PATIENTS

A 10-year observational study demonstrated that only 11.5% of patients admitted to a nursing home after suffering hip, wrist or humeral fracture received osteoporosis medications.

Citation: Parikh S, Mogun H, Avorn J, Solomon DH. Osteoporosis medication use in nursing home patients with fractures in 1 US state. Arch Intern Med. 2008;168(10):1111-1115

LOW DIABETIC NUMERACY SKILL ASSOCIATED WITH POOR GLYCEMIC CONTROL

A cross-sectional survey of diabetics showed that low diabetic numeracy skills were associated with possibly poorer glycemic control, including hemoglobin A1c levels of 7.65% versus 7.1%.

Citation: Cavanaugh K, Hulzinga MM, Wallston KA, et.al. Association of numeracy and diabetes control. Ann Intern Med. 2008;148(10):737-746.

INADEQUATE KNOWLEDGE OF ACS IN PATIENTS WITH CORONARY ARTERY DISEASE

A survey of patients with a history of acute myocardial infarction or invasive cardiac procedures for ischemic heart disease showed their knowledge of acute coronary syndrome symptoms and treatment options remained poor.

Citation: Dracup K, McKinley S, Doering LV, et.al. Acute coronary syndrome: What do patients know? Arch Intern Med. 2008;168(10):1049-1054.

POOR ACADEMIC AND BEHAVIORAL PERFORMANCE DURING RESIDENCY PREDICTS LICENSING BOARD ACTION

A retrospective cohort study found low ABIM test scores and poor professionalism ratings during internal medicine residency correlated on a continuum basis with future state licensing board actions.

Citation: Papadakis MA, Arnold GK, Blank LL. Holmboe ES, Lipner RS. Performance during internal medicine residency training and subsequent disciplinary action by state licensing boards. Ann Intern Med. 2008;148:869-876.

MEASUREMENT OF URINARY NEUTROPHIL GELATINASE-ASSOCIATED LIPOCALIN (NGAL) PREDICTS ACUTE KIDNEY INJURY

Prospective cohort study compared the measurement of NGAL with other proteins and serum creatinine and found the measurement of NGAL better predicts renal injury and poor patient outcomes.

Citation: Nickolas TL, O’Rourke MJ, Yang J, et al. Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med. 2008;148:810-819

PATIENTS SEEM LESS CONCERNED ABOUT PHYSICIAN FATIGUE AND MEDICAL CONTINUITY OF CARE THAN THE MEDIA SUGGESTS

A survey revealed most patients did not worry about the fatigue of their doctors or the discontinuity of medical care as implied by ACGME requirement of resident work hours.

Citation: Fletcher K, Wiest F, Halasyamani L, et al. How do hospitalized patients feel about resident work hours fatigue, and discontinuity of care? J Gen Intern Med. 2008;23(5):623-8.

RAPID RESUSCITATION WITH ACTUAL PERFORMANCE INTEGRATED DEBRIEFING IMPROVES QUALITY OF CPR

Evaluating the quality of CPR by feedback defibrillators and performance debriefing improved the return of spontaneous circulation but did not result in a significant difference of survival at discharge.

Citation: Edelson D, Litzinger B, Arora V, et al. Improving in-hospital cardiac arrest process and outcome with performance debriefing. Arch Intern Med. 2008;168(10):1063-1069.

 

 

Do stop orders for indwelling urinary catheters reduce the duration of inappropriate urinary catheterization and incidence of urinary tract infection?

Background: About 25% of hospitalized patients have an indwelling urinary catheter inserted, and in 30% to 50% of these patients, urinary catheters are not indicated. Approximately 50% of patients with a catheter inserted for five days or more will develop bacteriuria with about 80% of hospital-acquired urinary tract infections occurring in patients with a urinary catheter.

Study design: A randomized controlled study.

Setting: Three tertiary care hospitals in Ontario, Canada.

Synopsis: 692 patients with indwelling urinary catheters admitted to seven general medical units in three tertiary care hospitals from January 2004 to June 2006 were randomized into two groups: 269 in the stop-order group, and 252 in the usual care group. Patients in the stop-order group had fewer days of inappropriate and total urinary catheter used (2.20 days) compared with the usual care group (3.89 days). There was no difference in the incidence of urinary tract infection between both groups.

Study results were limited by several factors, including a lack of control for exposure of participants to antimicrobials, missing urine cultures, and lack of evaluation of the effect of reducing urinary catheter use on mobility and quality of life. The 1.34-day reduction in the duration of catheterization may not be sufficient to significantly reduce bacteriuria.

Bottom line: Consider using stop orders in all patients with indwelling urinary catheters.

Citation: Loeb M, Hunt D, O’Halloran K, et. al. Stop orders to reduce inappropriate urinary catheterization in hospitalized patients: a randomized control trial. J Gen Intern Med 2008;23(6):816-820.

Does interrupting anticoagulation in patients with atrial fibrillation undergoing surgery cause an increased rate of thromboembolism?

Background: There is a known risk of thromboembolism (between 0.5% and 20% annually) in patients with atrial fibrillation. Studies are limited regarding the risk of thromboembolism with holding anticoagulation in the perioperative period for nonvalvular atrial fibrillation. This study attempted to answer this question.

Study design: Prospective cohort.

Setting: Thromboembolism clinic of the Mayo Clinic.

Synopsis: 345 patients with nonvalvular atrial fibrillation whose anticoagulation was perioperatively held were monitored for three months after surgery for thromboembolic events. Warfarin therapy was held for 5.3 days +/- three days before surgery and restarted 1.3 days +/- 3.4 days after surgery. Bridging heparin therapy was used for 204/386 procedures.

Four patients suffered six thromboembolic events; two patients while receiving bridging heparin therapy and two without heparin. The total incidence of thromboembolic events was 1.1%. This is compared with an expected incidence of 0.09% to 2.07% for patients with atrial fibrillation on warfarin. Bleeding complications rates were also low.

The authors recognized a possible selection bias and the fact patients who received bridging heparin therapy were not randomized. Despite these potential flaws, there seems to be minimal risk of holding anticoagulation in the perioperative period. Bridging heparin therapy added no additional benefit.

Bottom line: There is no increased risk of thromboembolism if anticoagulation is interrupted without bridging therapy in nonvalvular atrial fibrillation patients undergoing surgery.

Citation: Wysokinski WE, McBane RD, Daniels PR, et al. Periprocedural anticoagulation management of patients with nonvalvular atrial fibrillation. Mayo Clinic Proceedings 2008;83(6):639-645.

Are obese patients under-dosed when prescribed intravenous vancomycin?

Background: Weight-based vancomycin dosing has been recommended by the Infectious Diseases Society of America, yet flat dosing is still commonly employed. Flat dosing has the potential of increasing resistance and having adverse clinical effects.

Study design: Retrospective cohort.

Setting: Two tertiary care medical centers without pharmacy-guided vancomycin dosing programs.

 

 

Synopsis: A retrospective review was done of pharmacy prescription files at two tertiary care medical centers that did not have pharmacy-guided vancomycin programs. Patients were divided into cohorts based on their body mass index: underweight (<18.5 kg/sqm) normal weight (18.5-24.9 kg/sqm) overweight (25.0-29.9 kg/sqm) and obese (>29.9 kg/sqm). Each class was studied for rates of adequate vancomycin dosing which was defined as >10 mg/kg/dose. A total of 421 patients were included. There were no other dissimilar baseline characteristics. Total daily dose was similar for all groups with adequate initial dosing achieved in 100%, 99.0%, 93.9% and 27.7% for underweight, normal weight, overweight and obese patients, respectively.

Bottom line: Use weight-based dosing of vancomycin to limit the possibility of under-dosing in obese patients.

Citation: Hall RG, Payne KD, Bain AB, et al. Multicenter evaluation of vancomycin dosing: emphasis on obesity. Am J of Med. 2008;121:515-518.

What is the rate of adverse events with short-term antipsychotic therapy in elderly demented patients?

Study design: Population-based retrospective cohort study.

Setting: Community-dwelling cohort and nursing home cohort.

Synopsis: A cohort of patients from Ontario age 66 and older with the diagnosis of dementia and a prescription for an anti-psychotic drug between April 1, 1997, and March 31, 2004, were divided into two groups by where they lived (community or nursing home). Each cohort was further divided into three groups based on antipsychotic exposure of none, atypical, or conventional.

All serious adverse events (defined as extra-pyramidal symptoms (EPS), cerebrovascular events, and acute care hospital admission or death) were evaluated within 30 days of initiating therapy. In the community group, individuals who received conventional antipsychotic therapy were 3.8 times more likely to have an adverse event compared with the group taking no antipsychotics. The patients prescribed an atypical antipsychotic medicine were 3.2 times more likely to experience an adverse event. In the nursing home group, patients who received conventional and atypical antipsychotic therapy were 2.4 and 1.9 times more likely to have a serious adverse event, respectively.

Bottom line: Serious events are frequent following the short-term use of antipsychotic therapy in older adults with dementia. Serious adverse events were more common among those who received a prescription for conventional rather than atypical antipsychotic drugs.

Citation: Rochon PA, Normand SL, Gomes T, et al. Antipsychotic therapy and short-term serious events in older adults with dementia. Arch Intern Med. 2008;168(10):1090-1096

What is the association between troponin levels and adverse events in hospitalized patients with acute decompensated heart failure?

Background: There were more than 1 million hospitalizations for heart failure in 2007, making it the most costly medical condition based on diagnosis and treatment. Evidence suggests an initial risk stratification process allows for earlier implementation of aggressive therapy, which can affect hospital utilization.

Study design: Retrospective analysis of Acute Decompensated Heart Failure National Registry (ADHERE).

Setting: Hospitalization records from 274 hospitals from October 2001 to January 2004.

Synopsis: Evaluation of the data from ADHERE for outcomes associated with elevated troponin levels in patients with acute decompensated heart failure (ADHF). Patients who had a creatinine level above 2.0 mg per deciliter were excluded.

Cardiac troponin I was measured in 61,379 patients and cardiac troponin T in 7880 patients. Overall, 4,240 patients (6.2%) had an elevated troponin level. Troponin positive patients had a higher rate of in-hospital mortality than troponin negative patients (8.0% vs. 2.7%, P<0.001). The adjusted odds ratio for death among patients with a positive troponin test was 2.55. Ischemic heart failure was present in 53% of the troponin positive patients and was not a useful predictor of troponin status or mortality.

 

 

Bottom line: Measurement of troponin is an important prognostic indicator in the initial evaluation of patients with ADHF. This early assessment of risk should be factored into medical decisions with respect to triage and medical management.

Citation: Peacock FW, De Marco T, Fonarow GC, et al. Cardiac troponin and outcome in acute heart failure. N Engl J Med 2008;358:2117-26

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Frequency of new or worsening symptoms in the posthospitalization period

The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.

At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.

Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.

METHODS

Settings and Participants

IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.

Data Acquisition

Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.

Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.

Statistical Analysis

Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16

Role of the Funding Source

Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.

RESULTS

During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.

A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.

Characteristics of Patients in Study
CharacteristicPatients in StudyPatients Not in StudyP Value*
Number of PatientsPercentage of All PatientsNumber of PatientsPercentage of All Patients
  • P value obtained from Pearson chi‐square testing of the difference in rates for each variable between patients in study versus patients not in study.

  • Patients not in study were not able to complete the survey; therefore health status could not be determined.

All patients15,767 32,101  
Mean age (years)60.1 54.1 <.0001
Sex     
Female898557.0%1722053.7%<.0001
Male651541.3%1433744.7%<.0001
Unknown2671.7%5441.7%.897
Insurance type     
HMO639140.5%1254039.1%<.001
Medicaid10666.8%28158.8%<.0001
Medicare605538.4%977730.4%<.0001
Commercial and other13708.7%349010.9%<.0001
Self‐pay8855.6%347910.9%<.0001
Severity of illness     
Minor674042.7%1467945.7%<.0001
Moderate685443.5%1319741.1%
Major168810.7%30919.6%<.0001
Extreme1180.7%2190.7%.571
Unknown3672.3%9152.9%.001
Health status     
Excellent3432.2%N/A
Very good13928.8%N/A
Good550534.9%N/A
Fair590137.4%N/A
Poor14689.3%N/A
Unknown11587.3%N/A

Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.

Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.

Characteristics of Patients with New or Worsening Symptoms
CharacteristicNumber of Patients with New or Worsening SymptomsPercentage of All Patients with New or Worsening SymptomsP Value for Difference or Trend*
All Patients187611.9% 
Sex  <.0001
Female117013.0% 
Male67210.3% 
Insurance Type   
HMO72211.3%.89
Medicare74812.4%.21
Commercial and other16512.0%.53
Medicaid12812.0%.27
Self‐pay11312.8% 
Severity of illness  .17
Minor74811.1% 
Moderate81411.9% 
Major24714.6% 
Extreme1916.1% 
Health Status  <.0001
Excellent226.4%
Very good856.1% 
Good4297.8% 
Fair72512.3% 
Poor38426.2% 
Prevalence of New Symptoms for the Top 10 DRGs*
DRGDescriptionNumber of PatientsPercentage of PatientsPatients with New or Worsening SymptomsRate of New or Worsening SymptomsP value
  • Results for patients in study only.

  • Obtained from Pearson chi‐square testing for rate of new/worsening symptoms for each DRG versus the mean.

Total patients in Study 15,767 187611.9% 
143Chest pain13068.3%1289.8%0.027
182Digest disorders with complications8015.1%9211.5%0.767
183Digest disorders without complications6324.0%7812.3%0.783
127Heart failure and shock5443.5%5510.1%0.230
89Pneumonia with complications4262.7%399.2%0.098
88COPD3802.4%4411.6%0.913
278Cellulitis3232.0%329.9%0.313
174GI hemorrhage with complications3202.0%4012.5%0.809
15CVA3021.9%258.3%0.066
175GI hemorrhage without complications2871.8%3411.8%0.948

The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.

Major Symptoms Reported By Patients Post‐Discharge*
CategorySpecific SymptomNumber% 0f Total
  • Only symptoms with greater than 2% prevalence are listed, although symptoms with lower prevalence are included in the category subtotals. Therefore, category subtotals may be greater than the sum of the symptoms listed.

  • Patients complaining of reactions to their medications. Medication issues described in the text refer to problems obtaining or understanding how to take medications (see Appendix).

Gastrointestinal 77124.1%
 Nausea/vomiting2457.7%
 Abdominal pain1625.1%
 Diarrhea1464.6%
 Eating problems1073.3%
 Constipation712.2%
General 52716.5%
 Fatigue or weakness36011.3%
 Dizziness1675.2%
Cardiovascular 38812.1%
 Edema2196.8%
 Chest pain1013.2%
Pain 38211.9%
 Back and neck1183.7%
 Lower exttremity (including hip)1153.6%
 Generalized762.4%
Psychological 2096.5%
 Sleeping problems1253.9%
 Change in mental status/psychiatric symptoms842.6%
Pulmonary 38211.9%
 Dyspnea1344.2%
Neurological 1996.2%
 Headache1183.7%
Infectious 1926.0%
 Fever822.6%
Dermatological 652.0%
Urological 621.9%
ENT 501.6%
Diabetic (problems with blood sugar) 451.4%
Postoperative wound problems 391.2%
Problems with intravenous sites 170.5%
Medication Reaction 140.4%
Bleeding (other than above locations) 140.4%
Gynecological 90.3%
Others 892.8%

The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).

DISCUSSION

Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.

We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.

As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.

Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.

An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.

One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.

Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.

It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.

The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.

Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.

An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.

Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.

The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.

In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.

Acknowledgements

The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.

APPENDIX

0

Survey Questions
References
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  21. Jones PK,Jones SL,Katz J.A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:1620.
  22. Shesser, R.,Smith M,Adams S,Walls R,Paxton M.The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911915.
  23. Nelson JR.The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S44S.
  24. Welch HG,Johnson DJ,Edson R.Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123130.
  25. Bostrom JCaldwell J,McGuire K,Everson D.Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:4752.
Article PDF
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Journal of Hospital Medicine - 2(2)
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58-68
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quality improvement, hospitalist medicine, transition of care, discharge management
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The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.

At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.

Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.

METHODS

Settings and Participants

IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.

Data Acquisition

Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.

Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.

Statistical Analysis

Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16

Role of the Funding Source

Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.

RESULTS

During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.

A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.

Characteristics of Patients in Study
CharacteristicPatients in StudyPatients Not in StudyP Value*
Number of PatientsPercentage of All PatientsNumber of PatientsPercentage of All Patients
  • P value obtained from Pearson chi‐square testing of the difference in rates for each variable between patients in study versus patients not in study.

  • Patients not in study were not able to complete the survey; therefore health status could not be determined.

All patients15,767 32,101  
Mean age (years)60.1 54.1 <.0001
Sex     
Female898557.0%1722053.7%<.0001
Male651541.3%1433744.7%<.0001
Unknown2671.7%5441.7%.897
Insurance type     
HMO639140.5%1254039.1%<.001
Medicaid10666.8%28158.8%<.0001
Medicare605538.4%977730.4%<.0001
Commercial and other13708.7%349010.9%<.0001
Self‐pay8855.6%347910.9%<.0001
Severity of illness     
Minor674042.7%1467945.7%<.0001
Moderate685443.5%1319741.1%
Major168810.7%30919.6%<.0001
Extreme1180.7%2190.7%.571
Unknown3672.3%9152.9%.001
Health status     
Excellent3432.2%N/A
Very good13928.8%N/A
Good550534.9%N/A
Fair590137.4%N/A
Poor14689.3%N/A
Unknown11587.3%N/A

Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.

Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.

Characteristics of Patients with New or Worsening Symptoms
CharacteristicNumber of Patients with New or Worsening SymptomsPercentage of All Patients with New or Worsening SymptomsP Value for Difference or Trend*
All Patients187611.9% 
Sex  <.0001
Female117013.0% 
Male67210.3% 
Insurance Type   
HMO72211.3%.89
Medicare74812.4%.21
Commercial and other16512.0%.53
Medicaid12812.0%.27
Self‐pay11312.8% 
Severity of illness  .17
Minor74811.1% 
Moderate81411.9% 
Major24714.6% 
Extreme1916.1% 
Health Status  <.0001
Excellent226.4%
Very good856.1% 
Good4297.8% 
Fair72512.3% 
Poor38426.2% 
Prevalence of New Symptoms for the Top 10 DRGs*
DRGDescriptionNumber of PatientsPercentage of PatientsPatients with New or Worsening SymptomsRate of New or Worsening SymptomsP value
  • Results for patients in study only.

  • Obtained from Pearson chi‐square testing for rate of new/worsening symptoms for each DRG versus the mean.

Total patients in Study 15,767 187611.9% 
143Chest pain13068.3%1289.8%0.027
182Digest disorders with complications8015.1%9211.5%0.767
183Digest disorders without complications6324.0%7812.3%0.783
127Heart failure and shock5443.5%5510.1%0.230
89Pneumonia with complications4262.7%399.2%0.098
88COPD3802.4%4411.6%0.913
278Cellulitis3232.0%329.9%0.313
174GI hemorrhage with complications3202.0%4012.5%0.809
15CVA3021.9%258.3%0.066
175GI hemorrhage without complications2871.8%3411.8%0.948

The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.

Major Symptoms Reported By Patients Post‐Discharge*
CategorySpecific SymptomNumber% 0f Total
  • Only symptoms with greater than 2% prevalence are listed, although symptoms with lower prevalence are included in the category subtotals. Therefore, category subtotals may be greater than the sum of the symptoms listed.

  • Patients complaining of reactions to their medications. Medication issues described in the text refer to problems obtaining or understanding how to take medications (see Appendix).

Gastrointestinal 77124.1%
 Nausea/vomiting2457.7%
 Abdominal pain1625.1%
 Diarrhea1464.6%
 Eating problems1073.3%
 Constipation712.2%
General 52716.5%
 Fatigue or weakness36011.3%
 Dizziness1675.2%
Cardiovascular 38812.1%
 Edema2196.8%
 Chest pain1013.2%
Pain 38211.9%
 Back and neck1183.7%
 Lower exttremity (including hip)1153.6%
 Generalized762.4%
Psychological 2096.5%
 Sleeping problems1253.9%
 Change in mental status/psychiatric symptoms842.6%
Pulmonary 38211.9%
 Dyspnea1344.2%
Neurological 1996.2%
 Headache1183.7%
Infectious 1926.0%
 Fever822.6%
Dermatological 652.0%
Urological 621.9%
ENT 501.6%
Diabetic (problems with blood sugar) 451.4%
Postoperative wound problems 391.2%
Problems with intravenous sites 170.5%
Medication Reaction 140.4%
Bleeding (other than above locations) 140.4%
Gynecological 90.3%
Others 892.8%

The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).

DISCUSSION

Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.

We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.

As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.

Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.

An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.

One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.

Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.

It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.

The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.

Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.

An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.

Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.

The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.

In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.

Acknowledgements

The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.

APPENDIX

0

Survey Questions

The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.

At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.

Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.

METHODS

Settings and Participants

IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.

Data Acquisition

Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.

Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.

Statistical Analysis

Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16

Role of the Funding Source

Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.

RESULTS

During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.

A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.

Characteristics of Patients in Study
CharacteristicPatients in StudyPatients Not in StudyP Value*
Number of PatientsPercentage of All PatientsNumber of PatientsPercentage of All Patients
  • P value obtained from Pearson chi‐square testing of the difference in rates for each variable between patients in study versus patients not in study.

  • Patients not in study were not able to complete the survey; therefore health status could not be determined.

All patients15,767 32,101  
Mean age (years)60.1 54.1 <.0001
Sex     
Female898557.0%1722053.7%<.0001
Male651541.3%1433744.7%<.0001
Unknown2671.7%5441.7%.897
Insurance type     
HMO639140.5%1254039.1%<.001
Medicaid10666.8%28158.8%<.0001
Medicare605538.4%977730.4%<.0001
Commercial and other13708.7%349010.9%<.0001
Self‐pay8855.6%347910.9%<.0001
Severity of illness     
Minor674042.7%1467945.7%<.0001
Moderate685443.5%1319741.1%
Major168810.7%30919.6%<.0001
Extreme1180.7%2190.7%.571
Unknown3672.3%9152.9%.001
Health status     
Excellent3432.2%N/A
Very good13928.8%N/A
Good550534.9%N/A
Fair590137.4%N/A
Poor14689.3%N/A
Unknown11587.3%N/A

Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.

Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.

Characteristics of Patients with New or Worsening Symptoms
CharacteristicNumber of Patients with New or Worsening SymptomsPercentage of All Patients with New or Worsening SymptomsP Value for Difference or Trend*
All Patients187611.9% 
Sex  <.0001
Female117013.0% 
Male67210.3% 
Insurance Type   
HMO72211.3%.89
Medicare74812.4%.21
Commercial and other16512.0%.53
Medicaid12812.0%.27
Self‐pay11312.8% 
Severity of illness  .17
Minor74811.1% 
Moderate81411.9% 
Major24714.6% 
Extreme1916.1% 
Health Status  <.0001
Excellent226.4%
Very good856.1% 
Good4297.8% 
Fair72512.3% 
Poor38426.2% 
Prevalence of New Symptoms for the Top 10 DRGs*
DRGDescriptionNumber of PatientsPercentage of PatientsPatients with New or Worsening SymptomsRate of New or Worsening SymptomsP value
  • Results for patients in study only.

  • Obtained from Pearson chi‐square testing for rate of new/worsening symptoms for each DRG versus the mean.

Total patients in Study 15,767 187611.9% 
143Chest pain13068.3%1289.8%0.027
182Digest disorders with complications8015.1%9211.5%0.767
183Digest disorders without complications6324.0%7812.3%0.783
127Heart failure and shock5443.5%5510.1%0.230
89Pneumonia with complications4262.7%399.2%0.098
88COPD3802.4%4411.6%0.913
278Cellulitis3232.0%329.9%0.313
174GI hemorrhage with complications3202.0%4012.5%0.809
15CVA3021.9%258.3%0.066
175GI hemorrhage without complications2871.8%3411.8%0.948

The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.

Major Symptoms Reported By Patients Post‐Discharge*
CategorySpecific SymptomNumber% 0f Total
  • Only symptoms with greater than 2% prevalence are listed, although symptoms with lower prevalence are included in the category subtotals. Therefore, category subtotals may be greater than the sum of the symptoms listed.

  • Patients complaining of reactions to their medications. Medication issues described in the text refer to problems obtaining or understanding how to take medications (see Appendix).

Gastrointestinal 77124.1%
 Nausea/vomiting2457.7%
 Abdominal pain1625.1%
 Diarrhea1464.6%
 Eating problems1073.3%
 Constipation712.2%
General 52716.5%
 Fatigue or weakness36011.3%
 Dizziness1675.2%
Cardiovascular 38812.1%
 Edema2196.8%
 Chest pain1013.2%
Pain 38211.9%
 Back and neck1183.7%
 Lower exttremity (including hip)1153.6%
 Generalized762.4%
Psychological 2096.5%
 Sleeping problems1253.9%
 Change in mental status/psychiatric symptoms842.6%
Pulmonary 38211.9%
 Dyspnea1344.2%
Neurological 1996.2%
 Headache1183.7%
Infectious 1926.0%
 Fever822.6%
Dermatological 652.0%
Urological 621.9%
ENT 501.6%
Diabetic (problems with blood sugar) 451.4%
Postoperative wound problems 391.2%
Problems with intravenous sites 170.5%
Medication Reaction 140.4%
Bleeding (other than above locations) 140.4%
Gynecological 90.3%
Others 892.8%

The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).

DISCUSSION

Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.

We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.

As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.

Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.

An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.

One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.

Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.

It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.

The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.

Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.

An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.

Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.

The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.

In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.

Acknowledgements

The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.

APPENDIX

0

Survey Questions
References
  1. Kohn LT,Corrigan J,Donaldson M, editors. To Err Is Human: Building a Safer Health System.Washington, DC:National Academy Press;2000:xxi,287.
  2. 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:xx,337.
  3. Lurie JD,Merrens EJ,Lee Splaine ME.An approach to hospital quality improvement.Med Clin North Am.2002;86:825845.
  4. Wachter RM,Goldman L.The hospitalist movement 5 years later.JAMA.2002;287:487494.
  5. Leape L.Making health care safe. Supplement on hospital medicine and patient safety.The Hospitalist.2004:34.
  6. Calkins DR,Davis RB,Reiley P, et al.Patient‐physician communication at hospital discharge and patients' understanding of the postdischarge treatment plan.Arch Intern Med.1997;157:10261030.
  7. Forster AJ,Murff HJ,Peterson JF,Gandhi TK,Bates DW.The incidence and severity of adverse events affecting patients after discharge from the hospital.Ann Intern Med.2003;138:161167.
  8. Forster AJ,Clark HD,Menard A, et al.Adverse events among medical patients after discharge from the hospital.CMAJ.2004;170:345349.
  9. Moore C,Wisnievsky J,Williams S,McGinn T.Medical errors related to discontinuity of care from an inpatient to an outpatient setting.J Gen Intern Med.2003;18:646651.
  10. Wasson J,Gaudette C,Whaley F,Sauvigne A,Baribeau P,Welch HG.Telephone care as a substitute for routine clinic follow‐up.JAMA.1992;267:17881793.
  11. Riegel B,Carlson B,Koop Z,LePetri B,Glasser D,Unger A.Effect of a standardized nurse case‐management telephone intervention on resource use in patients with chronic heart failure.Arch Intern Med.2002;162:705712.
  12. Dudas V,Bookwalter T,Kerr KM,Pantilat SZ.The impact of follow‐up telephone calls to patients after hospitalization.Am J Med.2001;111(9B):26S30S.
  13. Medical Outcomes Trust.How to Score the SF‐12 Short Form Health Survey.Boston:The Medical Outcomes Trust;1992.
  14. Ratner P,Johnson J,Jeffery B.Examining emotional, physical, social, and spiritual health as determinants of self‐rated health status.Am J Health Promot.1998;12:275282.
  15. 3M Health Information Systems, 3M All Patient Refined DRG Software. Available at: http://3m.com/market/healthcare/his/us/products/apr_drg/brochure.html.
  16. Holm S.A simple sequentially rejective Bonferroni test procedure.Scand J Stat.1979;6:6570.
  17. Nelson EA,Maruish ME,Axler JL.Effects of discharge planning and compliance with outpatient appointments on readmission rates.Psychiatr Serv.2000;51:885889.
  18. Forster A.J. Can you prevent adverse drug events after hospital discharge?CMAJ.2006;174:921922.
  19. Chande VT,Exum V.Follow‐up phone calls after an emergency department visit.Pediatrics.1994;93:513514.
  20. Jones J,Clark W,Bradford J,Dougherty J.Efficacy of a telephone follow‐up system in the emergency department.J Emerg Med.1988;6:249254.
  21. Jones PK,Jones SL,Katz J.A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:1620.
  22. Shesser, R.,Smith M,Adams S,Walls R,Paxton M.The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911915.
  23. Nelson JR.The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S44S.
  24. Welch HG,Johnson DJ,Edson R.Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123130.
  25. Bostrom JCaldwell J,McGuire K,Everson D.Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:4752.
References
  1. Kohn LT,Corrigan J,Donaldson M, editors. To Err Is Human: Building a Safer Health System.Washington, DC:National Academy Press;2000:xxi,287.
  2. 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:xx,337.
  3. Lurie JD,Merrens EJ,Lee Splaine ME.An approach to hospital quality improvement.Med Clin North Am.2002;86:825845.
  4. Wachter RM,Goldman L.The hospitalist movement 5 years later.JAMA.2002;287:487494.
  5. Leape L.Making health care safe. Supplement on hospital medicine and patient safety.The Hospitalist.2004:34.
  6. Calkins DR,Davis RB,Reiley P, et al.Patient‐physician communication at hospital discharge and patients' understanding of the postdischarge treatment plan.Arch Intern Med.1997;157:10261030.
  7. Forster AJ,Murff HJ,Peterson JF,Gandhi TK,Bates DW.The incidence and severity of adverse events affecting patients after discharge from the hospital.Ann Intern Med.2003;138:161167.
  8. Forster AJ,Clark HD,Menard A, et al.Adverse events among medical patients after discharge from the hospital.CMAJ.2004;170:345349.
  9. Moore C,Wisnievsky J,Williams S,McGinn T.Medical errors related to discontinuity of care from an inpatient to an outpatient setting.J Gen Intern Med.2003;18:646651.
  10. Wasson J,Gaudette C,Whaley F,Sauvigne A,Baribeau P,Welch HG.Telephone care as a substitute for routine clinic follow‐up.JAMA.1992;267:17881793.
  11. Riegel B,Carlson B,Koop Z,LePetri B,Glasser D,Unger A.Effect of a standardized nurse case‐management telephone intervention on resource use in patients with chronic heart failure.Arch Intern Med.2002;162:705712.
  12. Dudas V,Bookwalter T,Kerr KM,Pantilat SZ.The impact of follow‐up telephone calls to patients after hospitalization.Am J Med.2001;111(9B):26S30S.
  13. Medical Outcomes Trust.How to Score the SF‐12 Short Form Health Survey.Boston:The Medical Outcomes Trust;1992.
  14. Ratner P,Johnson J,Jeffery B.Examining emotional, physical, social, and spiritual health as determinants of self‐rated health status.Am J Health Promot.1998;12:275282.
  15. 3M Health Information Systems, 3M All Patient Refined DRG Software. Available at: http://3m.com/market/healthcare/his/us/products/apr_drg/brochure.html.
  16. Holm S.A simple sequentially rejective Bonferroni test procedure.Scand J Stat.1979;6:6570.
  17. Nelson EA,Maruish ME,Axler JL.Effects of discharge planning and compliance with outpatient appointments on readmission rates.Psychiatr Serv.2000;51:885889.
  18. Forster A.J. Can you prevent adverse drug events after hospital discharge?CMAJ.2006;174:921922.
  19. Chande VT,Exum V.Follow‐up phone calls after an emergency department visit.Pediatrics.1994;93:513514.
  20. Jones J,Clark W,Bradford J,Dougherty J.Efficacy of a telephone follow‐up system in the emergency department.J Emerg Med.1988;6:249254.
  21. Jones PK,Jones SL,Katz J.A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:1620.
  22. Shesser, R.,Smith M,Adams S,Walls R,Paxton M.The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911915.
  23. Nelson JR.The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S44S.
  24. Welch HG,Johnson DJ,Edson R.Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123130.
  25. Bostrom JCaldwell J,McGuire K,Everson D.Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:4752.
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Journal of Hospital Medicine - 2(2)
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Journal of Hospital Medicine - 2(2)
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Frequency of new or worsening symptoms in the posthospitalization period
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