Affiliations
Department of Pediatrics, University of Cincinnati College of Medicine
Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
Given name(s)
Angela
Family name
Statile
Degrees
MD, MEd

Improving the readability of pediatric hospital medicine discharge instructions

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Improving the readability of pediatric hospital medicine discharge instructions

The transition from hospital to home can be overwhelming for caregivers.1 Stress of hospitalization coupled with the expectation of families to execute postdischarge care plans make understandable discharge communication critical. Communication failures, inadequate education, absence of caregiver confidence, and lack of clarity regarding care plans may prohibit smooth transitions and lead to adverse postdischarge outcomes.2-4

Health literacy plays a pivotal role in caregivers’ capacity to navigate the healthcare system, comprehend, and execute care plans. An estimated 90 million Americans have limited health literacy that may negatively impact the provision of safe and quality care5,6 and be a risk factor for poor outcomes, including increased emergency department (ED) utilization and readmission rates.7-9 Readability strongly influences the effectiveness of written materials.10 However, written medical information for patients and families are frequently between the 10th and 12th grade reading levels; more than 75% of all pediatric health information is written at or above 10th grade reading level.11 Government agencies recommend between a 6th and 8th grade reading level, for written material;5,12,13 written discharge instructions have been identified as an important quality metric for hospital-to-home transitions.14-16

At our center, we found that discharge instructions were commonly written at high reading levels and often incomplete.17 Poor discharge instructions may contribute to increased readmission rates and unnecessary ED visits.9,18 Our global aim targeted improved health-literate written information, including understandability and completeness.

Our specific aim was to increase the percentage of discharge instructions written at or below the 7th grade level for hospital medicine (HM) patients on a community hospital pediatric unit from 13% to 80% in 6 months.

METHODS

Context

The improvement work took place at a 42-bed inpatient pediatric unit at a community satellite of our large, urban, academic hospital. The unit is staffed by medical providers including attendings, fellows, nurse practitioners (NPs), and senior pediatric residents, and had more than 1000 HM discharges in fiscal year 2016. Children with common general pediatric diagnoses are admitted to this service; postsurgical patients are not admitted primarily to the HM service. In Cincinnati, the neighborhood-level high school drop-out rates are as high as 64%.19 Discharge instructions are written by medical providers in the electronic health record (EHR). A printed copy is given to families and verbally reviewed by a bedside nurse prior to discharge. Quality improvement (QI) efforts focused on discharge instructions were ignited by a prior review of 200 discharge instructions that showed they were difficult to read (median reading level of 10th grade), poorly understandable (36% of instructions met the threshold of understandability as measured by the Patient Education Materials Assessment Tool20) and were missing key elements of information.17

 

 

Improvement Team

The improvement team consisted of 4 pediatric hospitalists, 2 NPs, 1 nurse educator with health literacy expertise, 1 pediatric resident, 1 fourth-year medical student, 1 QI consultant, and 2 parents who had first-hand experience on the HM service. The improvement team observed the discharge process, including roles of the provider, nurse and family, outlined a process map, and created a modified failure mode and effect analysis.21 Prior to our work, discharge instructions written by providers often occurred as a last step, and the content was created as free text or from nonstandardized templates. Key drivers that informed interventions were determined and revised over time (Figure 1). The study was reviewed by our institutional review board and deemed not human subjects research.

Key driver diagram.
Figure 1
Improvement Activities

Key drivers were identified, and interventions were executed using Plan-Do Study-Act cycles.22 The key drivers thought to be critical for the success of the QI efforts were family engagement; standardization of discharge instructions; medical staff engagement; and audit and feedback of data. The corresponding interventions were as follows:

Family Engagement

Understanding the discharge information families desired. Prior to testing, 10 families admitted to the HM service were asked about the discharge experience. We asked families about information they wanted in written discharge instructions: 1) reasons to call your primary doctor or return to the hospital; 2) when to see your primary doctor for a follow-up visit; 3) the phone number to reach your child’s doctor; 4) more information about why your child was admitted; 5) information about new medications; and 6) what to do to help your child continue to recover at home.

Development of templates. We engaged families throughout the process of creating general and disease-specific discharge templates. After a specific template was created and reviewed by the parents on our team, it was sent to members of the institutional Patient Education Committee, which includes parents and local health literacy experts, to review and critique. Feedback from the reviewers was incorporated into the templates prior to use in the EHR.

Postdischarge phone calls.A convenience sample of families discharged from the satellite campus was called 24 to 48 hours after discharge over a 2-week period in January, 2016. A member of our improvement team solicited feedback from families about the quality of the discharge instructions. Families were asked if discharge instructions were reviewed with them prior to going home, if they were given a copy of the instructions, how they would rate the ability to read and use the information, and if there were additional pieces of information that would have improved the instructions.

Standardization of Instructions

Education. A presentation was created and shared with medical providers; it was re-disseminated monthly to new residents rotating onto the service and to the attendings, fellows, and NPs scheduled for shifts during the month. This education continued for the duration of the study. The presentation included the definition of health literacy, scope of the problem, examples of poorly written discharge instructions, and tips on how to write readable and understandable instructions. Laminated cards that included tips on how to write instructions were also placed on work stations.

Disease-specific discharge instruction template.
Figure 2
Creation of discharge instruction templates in the EHR.A general discharge instruction template that was initially created and tested in the EHR (Figure 2) included text written below the 7th grade and employed 14 point font, bolded words for emphasis, and lists with bullet points. Asterisks were used to indicate where providers needed to include patient-specific information. The sections included in the general template were informed by feedback from providers and parents prior to testing, parents on the improvement team, and parents of patients admitted to our satellite campus. The sections reflect components critical to successful postdischarge care: discharge diagnosis and its brief description, postdischarge care information, new medications, signs and symptoms that would warrant escalation of care to the patient’s primary care provider or the ED, and follow-up instructions and contact information for the patent’s primary care doctor.

While the general template was an important first step, the content relied heavily on free text by providers, which could still lead to instructions written at a high reading level. Thus, disease-specific discharge instruction templates were created with prepopulated information that was written at a reading level at or below 7th grade level (Figure 2). The diseases were prioritized based on the most common diagnoses on our HM service. Each template included information under each of the subheadings noted in the general template. Twelve disease-specific templates were tested and ultimately embedded in the EHR; the general template remained for use when the discharge diagnosis was not covered by a disease-specific template.

 

 

Medical Staff Engagement

Previously described tests of change also aimed to enhance staff engagement. These included frequent e-mails, discussion of the QI efforts at specific team meetings, and the creation of visual cues posted at computer work stations, which prompted staff to begin to work on discharge instructions soon after admission.

Audit and Feedback of Data

Weekly phone calls. One team updated clinicians through a regularly scheduled bi-weekly phone conference. The phone conference was established prior to our work and was designed to relay pertinent information to attendings and NPs who work at the satellite hospital. During the phone conferences, clinicians were notified of current performance on discharge instruction readability and specific tests of change for the week. Additionally, providers gave feedback about the improvement efforts. These updates continued for the first 6 months of the project until sustained improvements were observed.

E-mails. Weekly e-mails were sent to all providers scheduled for clinical time at the satellite campus. The e-mail contained information on current tests of change, a list of discharge instruction templates that were available in the EHR, and the annotated run chart illustrating readability levels over time.

Additionally, individual e-mails were sent to each provider after review of the written discharge instructions for the week. Providers were given information on the number of discharge instructions they personally composed, the percentage of those instructions that were written at or below 7th grade level, and specific feedback on how their written instructions could be improved. We also encouraged feedback from each provider to better identify barriers to achieving our goal.

Study of the Interventions

Baseline data included a review of all instructions for patients discharged from the satellite campus from the end of April 2015 through mid-September 2015. The time period for testing of interventions during the fall and winter months allowed for rapid cycle learning due to higher patient census and predictability of admissions for specific diagnosis (ie, asthma and bronchiolitis). An automated report was generated from the EHR weekly with specific demographics and identifiers for patient discharged over the past 7 days, including patient age, gender, length of stay, discharge diagnosis, and insurance classification. Data was collected during the intervention period via structured review of the discharge instructions in the EHR by the principal investigator or a trained research coordinator. Discharge instructions for medically cleared mental health patients admitted to hospital medicine while awaiting psychiatric bed availability and patients and parents who were non-English speaking were excluded from review. All other instructions for patients discharged from the HM service at our Liberty Campus were included for review.

Measures

Readability, our primary measure of interest, was calculated using the mean score from the following formulas: Flesch Kincaid Grade Level,23 Simple Measure of Gobbledygook Index,24 Coleman-Liau Index,25 Gunning-Fog Index,26 and Automated Readability Index27 by means of an online platform (https://readability-score.com).28 This platform was chosen because it incorporated a variety of formulas, was user-friendly, and required minimal data cleaning. Each of the readability formulas have been used to assesses readability of health information given to patients and families.29,30 The threshold of 7th grade is in alignment with our institutional policy for educational materials and with recommendations from several government agencies.5,12

Analysis

A statistical process control p-chart was used to analyze our primary measure of readability, dichotomized as percent discharge instructions written at or below 7th grade level. Run charts were used to follow mean reading level of discharge instructions and our process measure of percent of discharge instruction written with a general or disease-specific standardized template. Run chart and control chart rules for identifying special cause were used for midline shifts.31

Patient Characteristics
Table

RESULTS

The Table includes the demographic and clinical information of patients included in our analyses. Through sequential interventions, the percentage of discharge instructions written at or below 7th grade readability level increased from a mean of 13% to more than 80% in 3 months (Figure 3). Furthermore, the mean was sustained above 90% for 10 months and at 98% for the last 4 months. The use of 1 of the 13 EHR templates increased from 0% to 96% and was associated with the largest impact on the overall improvements (Supplemental Figure 1). Additionally, the average reading level of the discharge instructions decreased from 10th grade to 6th grade level (Supplemental Figure 2).

Percentage of discharge instructions written at or below 7th grade readability level.
Figure 3

Qualitative comments from providers about the discharge instructions included:

“Are these [discharge instructions] available at base??  Great resource for interns.”
“These [discharge] instructions make the [discharge] process so easy!!! Love these...”
“Also feel like they have helped my discharge teaching in the room!”

Qualitative comments from families postdischarge included:
“I thought the instructions were very clear and easy to read. I especially thought that highlighting the important areas really helped.”
“I think this form looks great, and I really like the idea of having your child’s name on it.”

 

 

DISCUSSION

Through sequential Plan-Do Study-Act cycles, we increased the percentage of discharge instructions written at or below 7th grade reading level from 13% to 98%. Our most impactful intervention was the creation and dissemination of standardized disease-specific discharge instruction templates. Our findings complement evidence in the adult and pediatric literature that the use of standardized, disease-specific discharge instruction templates may improve readability of instructions.32,33 And, while quality improvement efforts have been employed to improve the discharge process for patients,34-36 this is the first study in the inpatient setting that, to our knowledge, specifically addresses discharge instructions using quality improvement methods.

Our work targeted the critical intersection between individual health literacy, an individual’s capacity to acquire, interpret, and use health information, and the necessary changes needed within our healthcare system to ensure that appropriately written instructions are given to patients and families.17,37 Our efforts focused on improving discharge instructions answer the call to consider health literacy a modifiable clinical risk factor.37 Furthermore, we address the 6 aims for quality healthcare delivery: 1) safe, timely, efficient and equitable delivery of care through the creation and dissemination of standardized instructions that are written at the appropriate reading level for families to ease hospital-to-home transitions and streamline the workflow of medical providers; 2) effective education of medical providers on health literacy concepts; and 3) family-centeredness through the involvement of families in our QI efforts. While previous QI efforts to improve hospital-to-home transitions have focused on medication reconciliation, communication with primary care physicians, follow-up appointments, and timely discharges of patients, none have specifically focused on the quality of discharge instructions.34-36

Most physicians do not receive education about how to write information that is readable and understandable; more than half of providers desired more education in this area.38 Furthermore, pediatric providers may overestimate parental health literacy levels,39 which may contribute to variability in the readability of written health materials. While education alone can contribute to a provider’s ability to create readable instructions, we note the improvement after the introduction of disease templates to demonstrate the importance of workflow-integrated higher reliability interventions to sustain improvements.

Our baseline poor readability rates were due to limited knowledge by frontline providers composing the instructions and a system in which an important element for successful hospital-to-home transitions was not tackled until patients were ready for discharge. Streamlining of the discharge process, including the creation of discharge instructions, may lead to improved efficiency, fewer discrepancies, more effective communication, and an enhanced family experience. Moreover, the success of our improvement work was due to key stakeholders, including parents, being a part of the team and the notable buy-in from providers.

Our work was not without limitations. We excluded non-English speaking families from the study. We were unable to measure reading level of our population directly and instead based our goals on national estimates. Our primary measure was readability, which is only 1 piece contributing to quality discharge instructions. Understandability and actionability are also important considerations; 17,20,29,40 however, improvements in these areas were limited by our design options within the EHR. Our efforts focused on children with common general pediatric diagnoses, and it is unclear how our interventions would generalize to medically complex patients with more volume of information to communicate at discharge and with uncommon diagnoses that are less readily incorporated into standardized templates. Relatedly, our work occurred at the satellite campus of our tertiary care center and may not represent generalizable material or methods to implement templates at our main campus location or at other hospitals. To begin to better understand this, we have spread to HM patients at our main campus, including medically complex patients with technology dependence and/or neurological impairments. Standardized, disease-specific templates most relevant to this population as well as several patient specific templates, for those with frequent readmissions due to medical complexity, have been created and are actively being tested.

CONCLUSION

In conclusion, in using interventions targeted at standardization of discharge instructions and timely feedback to staff, we saw rapid, dramatic, and sustained improvement in the readability of discharge instructions. Next steps include adaptation and spread to other patient populations and care teams, collaborations with other centers, and assessing the impact of effectively written discharge instructions on patient outcomes, such as adverse drug events, readmission rates, and family experience.

Disclosure

No external funding was secured for this study. Dr. Brady is supported by a Patient-Centered Outcomes Research Mentored Clinical Investigator Award from the Agency for Healthcare Research and Quality, Award Number K08HS023827. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. The funding organization had no role in the design, preparation, review, or approval of this paper; nor the decision to submit the manuscript for publication. The authors have no financial relationships relevant to this article to disclose.

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References

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home transitions: a qualitative study. Pediatrics. 2015;136:e1539-e1549. PubMed
2. Engel KG, Buckley BA, Forth VE, et al. Patient understanding of emergency
department discharge instructions: where are knowledge deficits greatest? Acad
Emerg Med. 2012;19:E1035-E1044. PubMed
3. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients:
a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8:
36-41. PubMed
4. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V.
Health literacy and the quality of physician-patient communication during hospitalization.
J Hosp Med. 2010;5:269-275. PubMed
5. Institute of Medicine Committee on Health Literacy. Kindig D, Alfonso D, Chudler
E, et al, eds. Health Literacy: A Prescription to End Confusion. Washington,
DC: National Academies Press; 2004. 
6. Yin HS, Johnson M, Mendelsohn AL, Abrams MA, Sanders LM, Dreyer BP. The
health literacy of parents in the United States: a nationally representative study.
Pediatrics. 2009;124(suppl 3):S289-S298. PubMed
7. Rak EC, Hooper SR, Belsante MJ, et al. Caregiver word reading literacy and
health outcomes among children treated in a pediatric nephrology practice. Clin
Kid J. 2016;9:510-515. PubMed
8. Morrison AK, Schapira MM, Gorelick MH, Hoffmann RG, Brousseau DC. Low
caregiver health literacy is associated with higher pediatric emergency department
use and nonurgent visits. Acad Pediatr. 2014;14:309-314. PubMed
9. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From
discharge to readmission: Understanding the process from the patient perspective.
J Hosp Med. 2016;11:407-412. PubMed
10. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed.
Philadelphia PA: J.B. Lippincott; 1996. PubMed
11. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and
outcomes: an updated systematic review. Evid Rep/Technol Assess. 2011;199:1-941. PubMed
12. Prevention CfDCa. Health Literacy for Public Health Professionals. In: Prevention
CfDCa, ed. Atlanta, GA2009. 
13. “What Did the Doctor Say?” Improving Health Literacy to Protect Patient Safety.
Oakbrook Terrace, IL: The Joint Commission, 2007. 
14. Desai AD, Burkhart Q, Parast L, et al. Development and pilot testing of caregiver-
reported pediatric quality measures for transitions between sites of care. Acad
Pediatr. 2016;16:760-769. PubMed
15. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions
for hospitalized children. Pediatrics. 2016;138(2). PubMed
16. Akinsola B, Cheng J, Zmitrovich A, Khan N, Jain S. Improving discharge instructions
in a pediatric emergency department: impact of a quality initiative. Pediatr
Emerg Care. 2017;33:10-13. PubMed
17. Unaka NI, Statile AM, Haney J, Beck AF, Brady PW, Jerardi K. Assessment of
the readability, understandability and completeness of pediatric hospital medicine
discharge instructions J Hosp Med. In press. PubMed
18. Stella SA, Allyn R, Keniston A, et al. Postdischarge problems identified by telephone
calls to an advice line. J Hosp Med. 2014;9:695-699. PubMed
19. Maloney M, Auffrey C. The social areas of Cincinnati.
20. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide:
An Instrument To Assess the Understandability and Actionability of Print and
Audiovisual Patient Education Materials. Available at: http://www.ahrq.gov/
professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Accessed
November 27, 2013.
21. Cohen MR, Senders J, Davis NM. Failure mode and effects analysis: a novel
approach to avoiding dangerous medication errors and accidents. Hosp Pharm.
1994;29:319-30. PubMed
22. Langley GJ, Moen R, Nolan KM, Nolan TW, Norman CL, Provost LP. The Improvement
Guide: A Practical Approach to Enhancing Organizational Performance.
San Franciso, CA: John Wiley & Sons; 2009. 
23. Flesch R. A new readability yardstick. J Appl Psychol. 1948;32:221-233. PubMed
24. McLaughlin GH. SMOG grading-a new readability formula. J Reading.
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25. Coleman M, Liau TL. A computer readability formula designed for machine scoring.
J Appl Psych. 1975;60:283. 
26. Gunning R. {The Technique of Clear Writing}. 1952.
27. Smith EA, Senter R. Automated readability index. AMRL-TR Aerospace Medical
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28. How readable is your writing. 2011. https://readability-score.com. Accessed September
23, 2016.
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29. Yin HS, Gupta RS, Tomopoulos S, et al. Readability, suitability, and characteristics
of asthma action plans: examination of factors that may impair understanding.
Pediatrics. 2013;131:e116-E126. PubMed
30. Brigo F, Otte WM, Igwe SC, Tezzon F, Nardone R. Clearly written, easily comprehended?
The readability of websites providing information on epilepsy. Epilepsy
Behav. 2015;44:35-39. PubMed
31. Benneyan JC. Use and interpretation of statistical quality control charts. Int J
Qual Health Care. 1998;10:69-73. PubMed
32. Mueller SK, Giannelli K, Boxer R, Schnipper JL. Readability of patient discharge
instructions with and without the use of electronically available disease-specific
templates. J Am Med Inform Assoc. 2015;22:857-863. PubMed
33. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC.
Implementation of standardized instructions for insulin at hospital discharge.
J Hosp Med. 2009;4:E41-E42. PubMed
34. Tuso P, Huynh DN, Garofalo L, et al. The readmission reduction program of
Kaiser Permanente Southern California-knowledge transfer and performance improvement.
Perm J. 2013;17:58-63. PubMed
35. White CM, Statile AM, White DL, et al. Using quality improvement to optimise
paediatric discharge efficiency. BMJ Qual Saf. 2014;23:428-436. PubMed
36. Mussman GM, Vossmeyer MT, Brady PW, Warrick DM, Simmons JM, White CM.
Improving the reliability of verbal communication between primary care physicians
and pediatric hospitalists at hospital discharge. J Hosp Med. 2015;10:574-
580. PubMed
37. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy
and quality: focus on chronic illness care and patient safety. Pediatrics
2009;124(suppl 3):S315-S326. PubMed
38. Turner T, Cull WL, Bayldon B, et al. Pediatricians and health literacy: descriptive
results from a national survey. Pediatrics. 2009;124(suppl 3):S299-S305. PubMed
39. Harrington KF, Haven KM, Bailey WC, Gerald LB. Provider perceptions of parent
health literacy and effect on asthma treatment: recommendations and instructions.
Pediatr Allergy immunol Pulmonol. 2013;26:69-75. PubMed
40. Yin HS, Parker RM, Wolf MS, et al. Health literacy assessment of labeling of
pediatric nonprescription medications: examination of characteristics that may
impair parent understanding. Acad Pediatr. 2012;12:288-296. PubMed

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The transition from hospital to home can be overwhelming for caregivers.1 Stress of hospitalization coupled with the expectation of families to execute postdischarge care plans make understandable discharge communication critical. Communication failures, inadequate education, absence of caregiver confidence, and lack of clarity regarding care plans may prohibit smooth transitions and lead to adverse postdischarge outcomes.2-4

Health literacy plays a pivotal role in caregivers’ capacity to navigate the healthcare system, comprehend, and execute care plans. An estimated 90 million Americans have limited health literacy that may negatively impact the provision of safe and quality care5,6 and be a risk factor for poor outcomes, including increased emergency department (ED) utilization and readmission rates.7-9 Readability strongly influences the effectiveness of written materials.10 However, written medical information for patients and families are frequently between the 10th and 12th grade reading levels; more than 75% of all pediatric health information is written at or above 10th grade reading level.11 Government agencies recommend between a 6th and 8th grade reading level, for written material;5,12,13 written discharge instructions have been identified as an important quality metric for hospital-to-home transitions.14-16

At our center, we found that discharge instructions were commonly written at high reading levels and often incomplete.17 Poor discharge instructions may contribute to increased readmission rates and unnecessary ED visits.9,18 Our global aim targeted improved health-literate written information, including understandability and completeness.

Our specific aim was to increase the percentage of discharge instructions written at or below the 7th grade level for hospital medicine (HM) patients on a community hospital pediatric unit from 13% to 80% in 6 months.

METHODS

Context

The improvement work took place at a 42-bed inpatient pediatric unit at a community satellite of our large, urban, academic hospital. The unit is staffed by medical providers including attendings, fellows, nurse practitioners (NPs), and senior pediatric residents, and had more than 1000 HM discharges in fiscal year 2016. Children with common general pediatric diagnoses are admitted to this service; postsurgical patients are not admitted primarily to the HM service. In Cincinnati, the neighborhood-level high school drop-out rates are as high as 64%.19 Discharge instructions are written by medical providers in the electronic health record (EHR). A printed copy is given to families and verbally reviewed by a bedside nurse prior to discharge. Quality improvement (QI) efforts focused on discharge instructions were ignited by a prior review of 200 discharge instructions that showed they were difficult to read (median reading level of 10th grade), poorly understandable (36% of instructions met the threshold of understandability as measured by the Patient Education Materials Assessment Tool20) and were missing key elements of information.17

 

 

Improvement Team

The improvement team consisted of 4 pediatric hospitalists, 2 NPs, 1 nurse educator with health literacy expertise, 1 pediatric resident, 1 fourth-year medical student, 1 QI consultant, and 2 parents who had first-hand experience on the HM service. The improvement team observed the discharge process, including roles of the provider, nurse and family, outlined a process map, and created a modified failure mode and effect analysis.21 Prior to our work, discharge instructions written by providers often occurred as a last step, and the content was created as free text or from nonstandardized templates. Key drivers that informed interventions were determined and revised over time (Figure 1). The study was reviewed by our institutional review board and deemed not human subjects research.

Key driver diagram.
Figure 1
Improvement Activities

Key drivers were identified, and interventions were executed using Plan-Do Study-Act cycles.22 The key drivers thought to be critical for the success of the QI efforts were family engagement; standardization of discharge instructions; medical staff engagement; and audit and feedback of data. The corresponding interventions were as follows:

Family Engagement

Understanding the discharge information families desired. Prior to testing, 10 families admitted to the HM service were asked about the discharge experience. We asked families about information they wanted in written discharge instructions: 1) reasons to call your primary doctor or return to the hospital; 2) when to see your primary doctor for a follow-up visit; 3) the phone number to reach your child’s doctor; 4) more information about why your child was admitted; 5) information about new medications; and 6) what to do to help your child continue to recover at home.

Development of templates. We engaged families throughout the process of creating general and disease-specific discharge templates. After a specific template was created and reviewed by the parents on our team, it was sent to members of the institutional Patient Education Committee, which includes parents and local health literacy experts, to review and critique. Feedback from the reviewers was incorporated into the templates prior to use in the EHR.

Postdischarge phone calls.A convenience sample of families discharged from the satellite campus was called 24 to 48 hours after discharge over a 2-week period in January, 2016. A member of our improvement team solicited feedback from families about the quality of the discharge instructions. Families were asked if discharge instructions were reviewed with them prior to going home, if they were given a copy of the instructions, how they would rate the ability to read and use the information, and if there were additional pieces of information that would have improved the instructions.

Standardization of Instructions

Education. A presentation was created and shared with medical providers; it was re-disseminated monthly to new residents rotating onto the service and to the attendings, fellows, and NPs scheduled for shifts during the month. This education continued for the duration of the study. The presentation included the definition of health literacy, scope of the problem, examples of poorly written discharge instructions, and tips on how to write readable and understandable instructions. Laminated cards that included tips on how to write instructions were also placed on work stations.

Disease-specific discharge instruction template.
Figure 2
Creation of discharge instruction templates in the EHR.A general discharge instruction template that was initially created and tested in the EHR (Figure 2) included text written below the 7th grade and employed 14 point font, bolded words for emphasis, and lists with bullet points. Asterisks were used to indicate where providers needed to include patient-specific information. The sections included in the general template were informed by feedback from providers and parents prior to testing, parents on the improvement team, and parents of patients admitted to our satellite campus. The sections reflect components critical to successful postdischarge care: discharge diagnosis and its brief description, postdischarge care information, new medications, signs and symptoms that would warrant escalation of care to the patient’s primary care provider or the ED, and follow-up instructions and contact information for the patent’s primary care doctor.

While the general template was an important first step, the content relied heavily on free text by providers, which could still lead to instructions written at a high reading level. Thus, disease-specific discharge instruction templates were created with prepopulated information that was written at a reading level at or below 7th grade level (Figure 2). The diseases were prioritized based on the most common diagnoses on our HM service. Each template included information under each of the subheadings noted in the general template. Twelve disease-specific templates were tested and ultimately embedded in the EHR; the general template remained for use when the discharge diagnosis was not covered by a disease-specific template.

 

 

Medical Staff Engagement

Previously described tests of change also aimed to enhance staff engagement. These included frequent e-mails, discussion of the QI efforts at specific team meetings, and the creation of visual cues posted at computer work stations, which prompted staff to begin to work on discharge instructions soon after admission.

Audit and Feedback of Data

Weekly phone calls. One team updated clinicians through a regularly scheduled bi-weekly phone conference. The phone conference was established prior to our work and was designed to relay pertinent information to attendings and NPs who work at the satellite hospital. During the phone conferences, clinicians were notified of current performance on discharge instruction readability and specific tests of change for the week. Additionally, providers gave feedback about the improvement efforts. These updates continued for the first 6 months of the project until sustained improvements were observed.

E-mails. Weekly e-mails were sent to all providers scheduled for clinical time at the satellite campus. The e-mail contained information on current tests of change, a list of discharge instruction templates that were available in the EHR, and the annotated run chart illustrating readability levels over time.

Additionally, individual e-mails were sent to each provider after review of the written discharge instructions for the week. Providers were given information on the number of discharge instructions they personally composed, the percentage of those instructions that were written at or below 7th grade level, and specific feedback on how their written instructions could be improved. We also encouraged feedback from each provider to better identify barriers to achieving our goal.

Study of the Interventions

Baseline data included a review of all instructions for patients discharged from the satellite campus from the end of April 2015 through mid-September 2015. The time period for testing of interventions during the fall and winter months allowed for rapid cycle learning due to higher patient census and predictability of admissions for specific diagnosis (ie, asthma and bronchiolitis). An automated report was generated from the EHR weekly with specific demographics and identifiers for patient discharged over the past 7 days, including patient age, gender, length of stay, discharge diagnosis, and insurance classification. Data was collected during the intervention period via structured review of the discharge instructions in the EHR by the principal investigator or a trained research coordinator. Discharge instructions for medically cleared mental health patients admitted to hospital medicine while awaiting psychiatric bed availability and patients and parents who were non-English speaking were excluded from review. All other instructions for patients discharged from the HM service at our Liberty Campus were included for review.

Measures

Readability, our primary measure of interest, was calculated using the mean score from the following formulas: Flesch Kincaid Grade Level,23 Simple Measure of Gobbledygook Index,24 Coleman-Liau Index,25 Gunning-Fog Index,26 and Automated Readability Index27 by means of an online platform (https://readability-score.com).28 This platform was chosen because it incorporated a variety of formulas, was user-friendly, and required minimal data cleaning. Each of the readability formulas have been used to assesses readability of health information given to patients and families.29,30 The threshold of 7th grade is in alignment with our institutional policy for educational materials and with recommendations from several government agencies.5,12

Analysis

A statistical process control p-chart was used to analyze our primary measure of readability, dichotomized as percent discharge instructions written at or below 7th grade level. Run charts were used to follow mean reading level of discharge instructions and our process measure of percent of discharge instruction written with a general or disease-specific standardized template. Run chart and control chart rules for identifying special cause were used for midline shifts.31

Patient Characteristics
Table

RESULTS

The Table includes the demographic and clinical information of patients included in our analyses. Through sequential interventions, the percentage of discharge instructions written at or below 7th grade readability level increased from a mean of 13% to more than 80% in 3 months (Figure 3). Furthermore, the mean was sustained above 90% for 10 months and at 98% for the last 4 months. The use of 1 of the 13 EHR templates increased from 0% to 96% and was associated with the largest impact on the overall improvements (Supplemental Figure 1). Additionally, the average reading level of the discharge instructions decreased from 10th grade to 6th grade level (Supplemental Figure 2).

Percentage of discharge instructions written at or below 7th grade readability level.
Figure 3

Qualitative comments from providers about the discharge instructions included:

“Are these [discharge instructions] available at base??  Great resource for interns.”
“These [discharge] instructions make the [discharge] process so easy!!! Love these...”
“Also feel like they have helped my discharge teaching in the room!”

Qualitative comments from families postdischarge included:
“I thought the instructions were very clear and easy to read. I especially thought that highlighting the important areas really helped.”
“I think this form looks great, and I really like the idea of having your child’s name on it.”

 

 

DISCUSSION

Through sequential Plan-Do Study-Act cycles, we increased the percentage of discharge instructions written at or below 7th grade reading level from 13% to 98%. Our most impactful intervention was the creation and dissemination of standardized disease-specific discharge instruction templates. Our findings complement evidence in the adult and pediatric literature that the use of standardized, disease-specific discharge instruction templates may improve readability of instructions.32,33 And, while quality improvement efforts have been employed to improve the discharge process for patients,34-36 this is the first study in the inpatient setting that, to our knowledge, specifically addresses discharge instructions using quality improvement methods.

Our work targeted the critical intersection between individual health literacy, an individual’s capacity to acquire, interpret, and use health information, and the necessary changes needed within our healthcare system to ensure that appropriately written instructions are given to patients and families.17,37 Our efforts focused on improving discharge instructions answer the call to consider health literacy a modifiable clinical risk factor.37 Furthermore, we address the 6 aims for quality healthcare delivery: 1) safe, timely, efficient and equitable delivery of care through the creation and dissemination of standardized instructions that are written at the appropriate reading level for families to ease hospital-to-home transitions and streamline the workflow of medical providers; 2) effective education of medical providers on health literacy concepts; and 3) family-centeredness through the involvement of families in our QI efforts. While previous QI efforts to improve hospital-to-home transitions have focused on medication reconciliation, communication with primary care physicians, follow-up appointments, and timely discharges of patients, none have specifically focused on the quality of discharge instructions.34-36

Most physicians do not receive education about how to write information that is readable and understandable; more than half of providers desired more education in this area.38 Furthermore, pediatric providers may overestimate parental health literacy levels,39 which may contribute to variability in the readability of written health materials. While education alone can contribute to a provider’s ability to create readable instructions, we note the improvement after the introduction of disease templates to demonstrate the importance of workflow-integrated higher reliability interventions to sustain improvements.

Our baseline poor readability rates were due to limited knowledge by frontline providers composing the instructions and a system in which an important element for successful hospital-to-home transitions was not tackled until patients were ready for discharge. Streamlining of the discharge process, including the creation of discharge instructions, may lead to improved efficiency, fewer discrepancies, more effective communication, and an enhanced family experience. Moreover, the success of our improvement work was due to key stakeholders, including parents, being a part of the team and the notable buy-in from providers.

Our work was not without limitations. We excluded non-English speaking families from the study. We were unable to measure reading level of our population directly and instead based our goals on national estimates. Our primary measure was readability, which is only 1 piece contributing to quality discharge instructions. Understandability and actionability are also important considerations; 17,20,29,40 however, improvements in these areas were limited by our design options within the EHR. Our efforts focused on children with common general pediatric diagnoses, and it is unclear how our interventions would generalize to medically complex patients with more volume of information to communicate at discharge and with uncommon diagnoses that are less readily incorporated into standardized templates. Relatedly, our work occurred at the satellite campus of our tertiary care center and may not represent generalizable material or methods to implement templates at our main campus location or at other hospitals. To begin to better understand this, we have spread to HM patients at our main campus, including medically complex patients with technology dependence and/or neurological impairments. Standardized, disease-specific templates most relevant to this population as well as several patient specific templates, for those with frequent readmissions due to medical complexity, have been created and are actively being tested.

CONCLUSION

In conclusion, in using interventions targeted at standardization of discharge instructions and timely feedback to staff, we saw rapid, dramatic, and sustained improvement in the readability of discharge instructions. Next steps include adaptation and spread to other patient populations and care teams, collaborations with other centers, and assessing the impact of effectively written discharge instructions on patient outcomes, such as adverse drug events, readmission rates, and family experience.

Disclosure

No external funding was secured for this study. Dr. Brady is supported by a Patient-Centered Outcomes Research Mentored Clinical Investigator Award from the Agency for Healthcare Research and Quality, Award Number K08HS023827. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. The funding organization had no role in the design, preparation, review, or approval of this paper; nor the decision to submit the manuscript for publication. The authors have no financial relationships relevant to this article to disclose.

The transition from hospital to home can be overwhelming for caregivers.1 Stress of hospitalization coupled with the expectation of families to execute postdischarge care plans make understandable discharge communication critical. Communication failures, inadequate education, absence of caregiver confidence, and lack of clarity regarding care plans may prohibit smooth transitions and lead to adverse postdischarge outcomes.2-4

Health literacy plays a pivotal role in caregivers’ capacity to navigate the healthcare system, comprehend, and execute care plans. An estimated 90 million Americans have limited health literacy that may negatively impact the provision of safe and quality care5,6 and be a risk factor for poor outcomes, including increased emergency department (ED) utilization and readmission rates.7-9 Readability strongly influences the effectiveness of written materials.10 However, written medical information for patients and families are frequently between the 10th and 12th grade reading levels; more than 75% of all pediatric health information is written at or above 10th grade reading level.11 Government agencies recommend between a 6th and 8th grade reading level, for written material;5,12,13 written discharge instructions have been identified as an important quality metric for hospital-to-home transitions.14-16

At our center, we found that discharge instructions were commonly written at high reading levels and often incomplete.17 Poor discharge instructions may contribute to increased readmission rates and unnecessary ED visits.9,18 Our global aim targeted improved health-literate written information, including understandability and completeness.

Our specific aim was to increase the percentage of discharge instructions written at or below the 7th grade level for hospital medicine (HM) patients on a community hospital pediatric unit from 13% to 80% in 6 months.

METHODS

Context

The improvement work took place at a 42-bed inpatient pediatric unit at a community satellite of our large, urban, academic hospital. The unit is staffed by medical providers including attendings, fellows, nurse practitioners (NPs), and senior pediatric residents, and had more than 1000 HM discharges in fiscal year 2016. Children with common general pediatric diagnoses are admitted to this service; postsurgical patients are not admitted primarily to the HM service. In Cincinnati, the neighborhood-level high school drop-out rates are as high as 64%.19 Discharge instructions are written by medical providers in the electronic health record (EHR). A printed copy is given to families and verbally reviewed by a bedside nurse prior to discharge. Quality improvement (QI) efforts focused on discharge instructions were ignited by a prior review of 200 discharge instructions that showed they were difficult to read (median reading level of 10th grade), poorly understandable (36% of instructions met the threshold of understandability as measured by the Patient Education Materials Assessment Tool20) and were missing key elements of information.17

 

 

Improvement Team

The improvement team consisted of 4 pediatric hospitalists, 2 NPs, 1 nurse educator with health literacy expertise, 1 pediatric resident, 1 fourth-year medical student, 1 QI consultant, and 2 parents who had first-hand experience on the HM service. The improvement team observed the discharge process, including roles of the provider, nurse and family, outlined a process map, and created a modified failure mode and effect analysis.21 Prior to our work, discharge instructions written by providers often occurred as a last step, and the content was created as free text or from nonstandardized templates. Key drivers that informed interventions were determined and revised over time (Figure 1). The study was reviewed by our institutional review board and deemed not human subjects research.

Key driver diagram.
Figure 1
Improvement Activities

Key drivers were identified, and interventions were executed using Plan-Do Study-Act cycles.22 The key drivers thought to be critical for the success of the QI efforts were family engagement; standardization of discharge instructions; medical staff engagement; and audit and feedback of data. The corresponding interventions were as follows:

Family Engagement

Understanding the discharge information families desired. Prior to testing, 10 families admitted to the HM service were asked about the discharge experience. We asked families about information they wanted in written discharge instructions: 1) reasons to call your primary doctor or return to the hospital; 2) when to see your primary doctor for a follow-up visit; 3) the phone number to reach your child’s doctor; 4) more information about why your child was admitted; 5) information about new medications; and 6) what to do to help your child continue to recover at home.

Development of templates. We engaged families throughout the process of creating general and disease-specific discharge templates. After a specific template was created and reviewed by the parents on our team, it was sent to members of the institutional Patient Education Committee, which includes parents and local health literacy experts, to review and critique. Feedback from the reviewers was incorporated into the templates prior to use in the EHR.

Postdischarge phone calls.A convenience sample of families discharged from the satellite campus was called 24 to 48 hours after discharge over a 2-week period in January, 2016. A member of our improvement team solicited feedback from families about the quality of the discharge instructions. Families were asked if discharge instructions were reviewed with them prior to going home, if they were given a copy of the instructions, how they would rate the ability to read and use the information, and if there were additional pieces of information that would have improved the instructions.

Standardization of Instructions

Education. A presentation was created and shared with medical providers; it was re-disseminated monthly to new residents rotating onto the service and to the attendings, fellows, and NPs scheduled for shifts during the month. This education continued for the duration of the study. The presentation included the definition of health literacy, scope of the problem, examples of poorly written discharge instructions, and tips on how to write readable and understandable instructions. Laminated cards that included tips on how to write instructions were also placed on work stations.

Disease-specific discharge instruction template.
Figure 2
Creation of discharge instruction templates in the EHR.A general discharge instruction template that was initially created and tested in the EHR (Figure 2) included text written below the 7th grade and employed 14 point font, bolded words for emphasis, and lists with bullet points. Asterisks were used to indicate where providers needed to include patient-specific information. The sections included in the general template were informed by feedback from providers and parents prior to testing, parents on the improvement team, and parents of patients admitted to our satellite campus. The sections reflect components critical to successful postdischarge care: discharge diagnosis and its brief description, postdischarge care information, new medications, signs and symptoms that would warrant escalation of care to the patient’s primary care provider or the ED, and follow-up instructions and contact information for the patent’s primary care doctor.

While the general template was an important first step, the content relied heavily on free text by providers, which could still lead to instructions written at a high reading level. Thus, disease-specific discharge instruction templates were created with prepopulated information that was written at a reading level at or below 7th grade level (Figure 2). The diseases were prioritized based on the most common diagnoses on our HM service. Each template included information under each of the subheadings noted in the general template. Twelve disease-specific templates were tested and ultimately embedded in the EHR; the general template remained for use when the discharge diagnosis was not covered by a disease-specific template.

 

 

Medical Staff Engagement

Previously described tests of change also aimed to enhance staff engagement. These included frequent e-mails, discussion of the QI efforts at specific team meetings, and the creation of visual cues posted at computer work stations, which prompted staff to begin to work on discharge instructions soon after admission.

Audit and Feedback of Data

Weekly phone calls. One team updated clinicians through a regularly scheduled bi-weekly phone conference. The phone conference was established prior to our work and was designed to relay pertinent information to attendings and NPs who work at the satellite hospital. During the phone conferences, clinicians were notified of current performance on discharge instruction readability and specific tests of change for the week. Additionally, providers gave feedback about the improvement efforts. These updates continued for the first 6 months of the project until sustained improvements were observed.

E-mails. Weekly e-mails were sent to all providers scheduled for clinical time at the satellite campus. The e-mail contained information on current tests of change, a list of discharge instruction templates that were available in the EHR, and the annotated run chart illustrating readability levels over time.

Additionally, individual e-mails were sent to each provider after review of the written discharge instructions for the week. Providers were given information on the number of discharge instructions they personally composed, the percentage of those instructions that were written at or below 7th grade level, and specific feedback on how their written instructions could be improved. We also encouraged feedback from each provider to better identify barriers to achieving our goal.

Study of the Interventions

Baseline data included a review of all instructions for patients discharged from the satellite campus from the end of April 2015 through mid-September 2015. The time period for testing of interventions during the fall and winter months allowed for rapid cycle learning due to higher patient census and predictability of admissions for specific diagnosis (ie, asthma and bronchiolitis). An automated report was generated from the EHR weekly with specific demographics and identifiers for patient discharged over the past 7 days, including patient age, gender, length of stay, discharge diagnosis, and insurance classification. Data was collected during the intervention period via structured review of the discharge instructions in the EHR by the principal investigator or a trained research coordinator. Discharge instructions for medically cleared mental health patients admitted to hospital medicine while awaiting psychiatric bed availability and patients and parents who were non-English speaking were excluded from review. All other instructions for patients discharged from the HM service at our Liberty Campus were included for review.

Measures

Readability, our primary measure of interest, was calculated using the mean score from the following formulas: Flesch Kincaid Grade Level,23 Simple Measure of Gobbledygook Index,24 Coleman-Liau Index,25 Gunning-Fog Index,26 and Automated Readability Index27 by means of an online platform (https://readability-score.com).28 This platform was chosen because it incorporated a variety of formulas, was user-friendly, and required minimal data cleaning. Each of the readability formulas have been used to assesses readability of health information given to patients and families.29,30 The threshold of 7th grade is in alignment with our institutional policy for educational materials and with recommendations from several government agencies.5,12

Analysis

A statistical process control p-chart was used to analyze our primary measure of readability, dichotomized as percent discharge instructions written at or below 7th grade level. Run charts were used to follow mean reading level of discharge instructions and our process measure of percent of discharge instruction written with a general or disease-specific standardized template. Run chart and control chart rules for identifying special cause were used for midline shifts.31

Patient Characteristics
Table

RESULTS

The Table includes the demographic and clinical information of patients included in our analyses. Through sequential interventions, the percentage of discharge instructions written at or below 7th grade readability level increased from a mean of 13% to more than 80% in 3 months (Figure 3). Furthermore, the mean was sustained above 90% for 10 months and at 98% for the last 4 months. The use of 1 of the 13 EHR templates increased from 0% to 96% and was associated with the largest impact on the overall improvements (Supplemental Figure 1). Additionally, the average reading level of the discharge instructions decreased from 10th grade to 6th grade level (Supplemental Figure 2).

Percentage of discharge instructions written at or below 7th grade readability level.
Figure 3

Qualitative comments from providers about the discharge instructions included:

“Are these [discharge instructions] available at base??  Great resource for interns.”
“These [discharge] instructions make the [discharge] process so easy!!! Love these...”
“Also feel like they have helped my discharge teaching in the room!”

Qualitative comments from families postdischarge included:
“I thought the instructions were very clear and easy to read. I especially thought that highlighting the important areas really helped.”
“I think this form looks great, and I really like the idea of having your child’s name on it.”

 

 

DISCUSSION

Through sequential Plan-Do Study-Act cycles, we increased the percentage of discharge instructions written at or below 7th grade reading level from 13% to 98%. Our most impactful intervention was the creation and dissemination of standardized disease-specific discharge instruction templates. Our findings complement evidence in the adult and pediatric literature that the use of standardized, disease-specific discharge instruction templates may improve readability of instructions.32,33 And, while quality improvement efforts have been employed to improve the discharge process for patients,34-36 this is the first study in the inpatient setting that, to our knowledge, specifically addresses discharge instructions using quality improvement methods.

Our work targeted the critical intersection between individual health literacy, an individual’s capacity to acquire, interpret, and use health information, and the necessary changes needed within our healthcare system to ensure that appropriately written instructions are given to patients and families.17,37 Our efforts focused on improving discharge instructions answer the call to consider health literacy a modifiable clinical risk factor.37 Furthermore, we address the 6 aims for quality healthcare delivery: 1) safe, timely, efficient and equitable delivery of care through the creation and dissemination of standardized instructions that are written at the appropriate reading level for families to ease hospital-to-home transitions and streamline the workflow of medical providers; 2) effective education of medical providers on health literacy concepts; and 3) family-centeredness through the involvement of families in our QI efforts. While previous QI efforts to improve hospital-to-home transitions have focused on medication reconciliation, communication with primary care physicians, follow-up appointments, and timely discharges of patients, none have specifically focused on the quality of discharge instructions.34-36

Most physicians do not receive education about how to write information that is readable and understandable; more than half of providers desired more education in this area.38 Furthermore, pediatric providers may overestimate parental health literacy levels,39 which may contribute to variability in the readability of written health materials. While education alone can contribute to a provider’s ability to create readable instructions, we note the improvement after the introduction of disease templates to demonstrate the importance of workflow-integrated higher reliability interventions to sustain improvements.

Our baseline poor readability rates were due to limited knowledge by frontline providers composing the instructions and a system in which an important element for successful hospital-to-home transitions was not tackled until patients were ready for discharge. Streamlining of the discharge process, including the creation of discharge instructions, may lead to improved efficiency, fewer discrepancies, more effective communication, and an enhanced family experience. Moreover, the success of our improvement work was due to key stakeholders, including parents, being a part of the team and the notable buy-in from providers.

Our work was not without limitations. We excluded non-English speaking families from the study. We were unable to measure reading level of our population directly and instead based our goals on national estimates. Our primary measure was readability, which is only 1 piece contributing to quality discharge instructions. Understandability and actionability are also important considerations; 17,20,29,40 however, improvements in these areas were limited by our design options within the EHR. Our efforts focused on children with common general pediatric diagnoses, and it is unclear how our interventions would generalize to medically complex patients with more volume of information to communicate at discharge and with uncommon diagnoses that are less readily incorporated into standardized templates. Relatedly, our work occurred at the satellite campus of our tertiary care center and may not represent generalizable material or methods to implement templates at our main campus location or at other hospitals. To begin to better understand this, we have spread to HM patients at our main campus, including medically complex patients with technology dependence and/or neurological impairments. Standardized, disease-specific templates most relevant to this population as well as several patient specific templates, for those with frequent readmissions due to medical complexity, have been created and are actively being tested.

CONCLUSION

In conclusion, in using interventions targeted at standardization of discharge instructions and timely feedback to staff, we saw rapid, dramatic, and sustained improvement in the readability of discharge instructions. Next steps include adaptation and spread to other patient populations and care teams, collaborations with other centers, and assessing the impact of effectively written discharge instructions on patient outcomes, such as adverse drug events, readmission rates, and family experience.

Disclosure

No external funding was secured for this study. Dr. Brady is supported by a Patient-Centered Outcomes Research Mentored Clinical Investigator Award from the Agency for Healthcare Research and Quality, Award Number K08HS023827. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. The funding organization had no role in the design, preparation, review, or approval of this paper; nor the decision to submit the manuscript for publication. The authors have no financial relationships relevant to this article to disclose.

References

1. Solan LG, Beck AF, Brunswick SA, et al. The family perspective on hospital to
home transitions: a qualitative study. Pediatrics. 2015;136:e1539-e1549. PubMed
2. Engel KG, Buckley BA, Forth VE, et al. Patient understanding of emergency
department discharge instructions: where are knowledge deficits greatest? Acad
Emerg Med. 2012;19:E1035-E1044. PubMed
3. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients:
a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8:
36-41. PubMed
4. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V.
Health literacy and the quality of physician-patient communication during hospitalization.
J Hosp Med. 2010;5:269-275. PubMed
5. Institute of Medicine Committee on Health Literacy. Kindig D, Alfonso D, Chudler
E, et al, eds. Health Literacy: A Prescription to End Confusion. Washington,
DC: National Academies Press; 2004. 
6. Yin HS, Johnson M, Mendelsohn AL, Abrams MA, Sanders LM, Dreyer BP. The
health literacy of parents in the United States: a nationally representative study.
Pediatrics. 2009;124(suppl 3):S289-S298. PubMed
7. Rak EC, Hooper SR, Belsante MJ, et al. Caregiver word reading literacy and
health outcomes among children treated in a pediatric nephrology practice. Clin
Kid J. 2016;9:510-515. PubMed
8. Morrison AK, Schapira MM, Gorelick MH, Hoffmann RG, Brousseau DC. Low
caregiver health literacy is associated with higher pediatric emergency department
use and nonurgent visits. Acad Pediatr. 2014;14:309-314. PubMed
9. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From
discharge to readmission: Understanding the process from the patient perspective.
J Hosp Med. 2016;11:407-412. PubMed
10. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed.
Philadelphia PA: J.B. Lippincott; 1996. PubMed
11. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and
outcomes: an updated systematic review. Evid Rep/Technol Assess. 2011;199:1-941. PubMed
12. Prevention CfDCa. Health Literacy for Public Health Professionals. In: Prevention
CfDCa, ed. Atlanta, GA2009. 
13. “What Did the Doctor Say?” Improving Health Literacy to Protect Patient Safety.
Oakbrook Terrace, IL: The Joint Commission, 2007. 
14. Desai AD, Burkhart Q, Parast L, et al. Development and pilot testing of caregiver-
reported pediatric quality measures for transitions between sites of care. Acad
Pediatr. 2016;16:760-769. PubMed
15. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions
for hospitalized children. Pediatrics. 2016;138(2). PubMed
16. Akinsola B, Cheng J, Zmitrovich A, Khan N, Jain S. Improving discharge instructions
in a pediatric emergency department: impact of a quality initiative. Pediatr
Emerg Care. 2017;33:10-13. PubMed
17. Unaka NI, Statile AM, Haney J, Beck AF, Brady PW, Jerardi K. Assessment of
the readability, understandability and completeness of pediatric hospital medicine
discharge instructions J Hosp Med. In press. PubMed
18. Stella SA, Allyn R, Keniston A, et al. Postdischarge problems identified by telephone
calls to an advice line. J Hosp Med. 2014;9:695-699. PubMed
19. Maloney M, Auffrey C. The social areas of Cincinnati.
20. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide:
An Instrument To Assess the Understandability and Actionability of Print and
Audiovisual Patient Education Materials. Available at: http://www.ahrq.gov/
professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Accessed
November 27, 2013.
21. Cohen MR, Senders J, Davis NM. Failure mode and effects analysis: a novel
approach to avoiding dangerous medication errors and accidents. Hosp Pharm.
1994;29:319-30. PubMed
22. Langley GJ, Moen R, Nolan KM, Nolan TW, Norman CL, Provost LP. The Improvement
Guide: A Practical Approach to Enhancing Organizational Performance.
San Franciso, CA: John Wiley & Sons; 2009. 
23. Flesch R. A new readability yardstick. J Appl Psychol. 1948;32:221-233. PubMed
24. McLaughlin GH. SMOG grading-a new readability formula. J Reading.
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25. Coleman M, Liau TL. A computer readability formula designed for machine scoring.
J Appl Psych. 1975;60:283. 
26. Gunning R. {The Technique of Clear Writing}. 1952.
27. Smith EA, Senter R. Automated readability index. AMRL-TR Aerospace Medical
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of asthma action plans: examination of factors that may impair understanding.
Pediatrics. 2013;131:e116-E126. PubMed
30. Brigo F, Otte WM, Igwe SC, Tezzon F, Nardone R. Clearly written, easily comprehended?
The readability of websites providing information on epilepsy. Epilepsy
Behav. 2015;44:35-39. PubMed
31. Benneyan JC. Use and interpretation of statistical quality control charts. Int J
Qual Health Care. 1998;10:69-73. PubMed
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instructions with and without the use of electronically available disease-specific
templates. J Am Med Inform Assoc. 2015;22:857-863. PubMed
33. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC.
Implementation of standardized instructions for insulin at hospital discharge.
J Hosp Med. 2009;4:E41-E42. PubMed
34. Tuso P, Huynh DN, Garofalo L, et al. The readmission reduction program of
Kaiser Permanente Southern California-knowledge transfer and performance improvement.
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35. White CM, Statile AM, White DL, et al. Using quality improvement to optimise
paediatric discharge efficiency. BMJ Qual Saf. 2014;23:428-436. PubMed
36. Mussman GM, Vossmeyer MT, Brady PW, Warrick DM, Simmons JM, White CM.
Improving the reliability of verbal communication between primary care physicians
and pediatric hospitalists at hospital discharge. J Hosp Med. 2015;10:574-
580. PubMed
37. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy
and quality: focus on chronic illness care and patient safety. Pediatrics
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results from a national survey. Pediatrics. 2009;124(suppl 3):S299-S305. PubMed
39. Harrington KF, Haven KM, Bailey WC, Gerald LB. Provider perceptions of parent
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Pediatr Allergy immunol Pulmonol. 2013;26:69-75. PubMed
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impair parent understanding. Acad Pediatr. 2012;12:288-296. PubMed

References

1. Solan LG, Beck AF, Brunswick SA, et al. The family perspective on hospital to
home transitions: a qualitative study. Pediatrics. 2015;136:e1539-e1549. PubMed
2. Engel KG, Buckley BA, Forth VE, et al. Patient understanding of emergency
department discharge instructions: where are knowledge deficits greatest? Acad
Emerg Med. 2012;19:E1035-E1044. PubMed
3. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients:
a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8:
36-41. PubMed
4. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V.
Health literacy and the quality of physician-patient communication during hospitalization.
J Hosp Med. 2010;5:269-275. PubMed
5. Institute of Medicine Committee on Health Literacy. Kindig D, Alfonso D, Chudler
E, et al, eds. Health Literacy: A Prescription to End Confusion. Washington,
DC: National Academies Press; 2004. 
6. Yin HS, Johnson M, Mendelsohn AL, Abrams MA, Sanders LM, Dreyer BP. The
health literacy of parents in the United States: a nationally representative study.
Pediatrics. 2009;124(suppl 3):S289-S298. PubMed
7. Rak EC, Hooper SR, Belsante MJ, et al. Caregiver word reading literacy and
health outcomes among children treated in a pediatric nephrology practice. Clin
Kid J. 2016;9:510-515. PubMed
8. Morrison AK, Schapira MM, Gorelick MH, Hoffmann RG, Brousseau DC. Low
caregiver health literacy is associated with higher pediatric emergency department
use and nonurgent visits. Acad Pediatr. 2014;14:309-314. PubMed
9. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From
discharge to readmission: Understanding the process from the patient perspective.
J Hosp Med. 2016;11:407-412. PubMed
10. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed.
Philadelphia PA: J.B. Lippincott; 1996. PubMed
11. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and
outcomes: an updated systematic review. Evid Rep/Technol Assess. 2011;199:1-941. PubMed
12. Prevention CfDCa. Health Literacy for Public Health Professionals. In: Prevention
CfDCa, ed. Atlanta, GA2009. 
13. “What Did the Doctor Say?” Improving Health Literacy to Protect Patient Safety.
Oakbrook Terrace, IL: The Joint Commission, 2007. 
14. Desai AD, Burkhart Q, Parast L, et al. Development and pilot testing of caregiver-
reported pediatric quality measures for transitions between sites of care. Acad
Pediatr. 2016;16:760-769. PubMed
15. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions
for hospitalized children. Pediatrics. 2016;138(2). PubMed
16. Akinsola B, Cheng J, Zmitrovich A, Khan N, Jain S. Improving discharge instructions
in a pediatric emergency department: impact of a quality initiative. Pediatr
Emerg Care. 2017;33:10-13. PubMed
17. Unaka NI, Statile AM, Haney J, Beck AF, Brady PW, Jerardi K. Assessment of
the readability, understandability and completeness of pediatric hospital medicine
discharge instructions J Hosp Med. In press. PubMed
18. Stella SA, Allyn R, Keniston A, et al. Postdischarge problems identified by telephone
calls to an advice line. J Hosp Med. 2014;9:695-699. PubMed
19. Maloney M, Auffrey C. The social areas of Cincinnati.
20. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide:
An Instrument To Assess the Understandability and Actionability of Print and
Audiovisual Patient Education Materials. Available at: http://www.ahrq.gov/
professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Accessed
November 27, 2013.
21. Cohen MR, Senders J, Davis NM. Failure mode and effects analysis: a novel
approach to avoiding dangerous medication errors and accidents. Hosp Pharm.
1994;29:319-30. PubMed
22. Langley GJ, Moen R, Nolan KM, Nolan TW, Norman CL, Provost LP. The Improvement
Guide: A Practical Approach to Enhancing Organizational Performance.
San Franciso, CA: John Wiley & Sons; 2009. 
23. Flesch R. A new readability yardstick. J Appl Psychol. 1948;32:221-233. PubMed
24. McLaughlin GH. SMOG grading-a new readability formula. J Reading.
1969;12:639-646.
25. Coleman M, Liau TL. A computer readability formula designed for machine scoring.
J Appl Psych. 1975;60:283. 
26. Gunning R. {The Technique of Clear Writing}. 1952.
27. Smith EA, Senter R. Automated readability index. AMRL-TR Aerospace Medical
Research Laboratories (6570th) 1967:1. PubMed
28. How readable is your writing. 2011. https://readability-score.com. Accessed September
23, 2016.
An Official Publication of the Society of Hospital Medicine Journal of Hospital Medicine Vol 12 | No 7 | July 2017 557
Improving Readability of Discharge Instructions | Unaka et al
29. Yin HS, Gupta RS, Tomopoulos S, et al. Readability, suitability, and characteristics
of asthma action plans: examination of factors that may impair understanding.
Pediatrics. 2013;131:e116-E126. PubMed
30. Brigo F, Otte WM, Igwe SC, Tezzon F, Nardone R. Clearly written, easily comprehended?
The readability of websites providing information on epilepsy. Epilepsy
Behav. 2015;44:35-39. PubMed
31. Benneyan JC. Use and interpretation of statistical quality control charts. Int J
Qual Health Care. 1998;10:69-73. PubMed
32. Mueller SK, Giannelli K, Boxer R, Schnipper JL. Readability of patient discharge
instructions with and without the use of electronically available disease-specific
templates. J Am Med Inform Assoc. 2015;22:857-863. PubMed
33. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC.
Implementation of standardized instructions for insulin at hospital discharge.
J Hosp Med. 2009;4:E41-E42. PubMed
34. Tuso P, Huynh DN, Garofalo L, et al. The readmission reduction program of
Kaiser Permanente Southern California-knowledge transfer and performance improvement.
Perm J. 2013;17:58-63. PubMed
35. White CM, Statile AM, White DL, et al. Using quality improvement to optimise
paediatric discharge efficiency. BMJ Qual Saf. 2014;23:428-436. PubMed
36. Mussman GM, Vossmeyer MT, Brady PW, Warrick DM, Simmons JM, White CM.
Improving the reliability of verbal communication between primary care physicians
and pediatric hospitalists at hospital discharge. J Hosp Med. 2015;10:574-
580. PubMed
37. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy
and quality: focus on chronic illness care and patient safety. Pediatrics
2009;124(suppl 3):S315-S326. PubMed
38. Turner T, Cull WL, Bayldon B, et al. Pediatricians and health literacy: descriptive
results from a national survey. Pediatrics. 2009;124(suppl 3):S299-S305. PubMed
39. Harrington KF, Haven KM, Bailey WC, Gerald LB. Provider perceptions of parent
health literacy and effect on asthma treatment: recommendations and instructions.
Pediatr Allergy immunol Pulmonol. 2013;26:69-75. PubMed
40. Yin HS, Parker RM, Wolf MS, et al. Health literacy assessment of labeling of
pediatric nonprescription medications: examination of characteristics that may
impair parent understanding. Acad Pediatr. 2012;12:288-296. PubMed

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Assessment of readability, understandability, and completeness of pediatric hospital medicine discharge instructions

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Assessment of readability, understandability, and completeness of pediatric hospital medicine discharge instructions

The average American adult reads at an 8th-grade level.1 Limited general literacy can affect health literacy, which is defined as the “degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions.”2,3 Adults with limited health literacy are at risk for poorer outcomes, including overuse of the emergency department and lower adherence to preventive care recommendations.4

Children transitioning from hospital to home depend on their adult caregivers (and their caregivers’ health literacy) to carry out discharge instructions. During the immediate postdischarge period, complex care needs can involve new or changed medications, follow-up instructions, home care instructions, and suggestions regarding when and why to seek additional care.

The discharge education provided to patients in the hospital is often subpar because of lack of standardization and divided responsibility among providers.5 Communication of vital information to patients with low health literacy has been noted to be particularly poor,6 as many patient education materials are written at 10th-, 11th-, and 12th-grade reading levels.4 Evidence supports providing materials written at 6th-grade level or lower to increase comprehension.7 Several studies have evaluated the quality and readability of discharge instructions for hospitalized adults,8,9 and one study found a link between poorly written instructions for adult patients and readmission risk.10 Less is known about readability in pediatrics, in which education may be more important for families of children most commonly hospitalized for acute illness.

We conducted a study to describe readability levels, understandability scores, and completeness of written instructions given to families at hospital discharge.

METHODS

Study Design and Setting

In this study, we performed a cross-sectional review of discharge instructions within electronic health records at Cincinnati Children’s Hospital Medical Center (CCHMC). The study was reviewed and approved by CCHMC’s Institutional Review Board. Charts were randomly selected from all hospital medicine service discharges during two 3-month periods of high patient volume: January-March 2014 and January-March 2015.

CCHMC is a large urban academic referral center that is the sole provider of general, subspecialty, and critical pediatric inpatient care for a large geographical area. CCHMC, which has 600 beds, provides cares for many children who live in impoverished settings. Its hospital medicine service consists of 4 teams that care for approximately 7000 children hospitalized with general pediatric illnesses each year. Each team consists of 5 or 6 pediatric residents supervised by a hospital medicine attending.

Providers, most commonly pediatric interns, generate discharge instructions in electronic health records. In this nonautomated process, they use free-text or nonstandardized templates to create content. At discharge, instructions are printed as part of the postvisit summary, which includes updates on medications and scheduled follow-up appointments. Bedside nurses verbally review the instructions with families and provide printed copies for home use.

 

 

Data Collection and Analysis

A random sequence generator was used to select charts for review. Instructions written in a language other than English were excluded. Written discharge instructions and clinical information, including age, sex, primary diagnosis, insurance type, number of discharge medications, number of scheduled appointments at discharge, and hospital length of stay, were abstracted from electronic health records and anonymized before analysis. The primary outcomes assessed were discharge instruction readability, understandability, and completeness. Readability was calculated with Fry Readability Scale (FRS) scores,11 which range from 1 to 17 and correspond to reading levels (score 1 = 1st-grade reading level). Health literacy experts have used the FRS to assess readability in health care environments.12

Understandability was measured with the Patient Education Materials Assessment Tool (PEMAT), a validated scoring system provided by the Agency for Healthcare Research and Quality.13 The PEMAT measures the understandability of print materials on a scale ranging from 0% to 100%. Higher scores indicate increased understandability, and scores under 70% indicate instructions are difficult to understand.

Although recent efforts have focused on the development of quality metrics for hospital-to-home transitions of pediatric patients,14 during our study there were no standard items to include in pediatric discharge instructions. Five criteria for completeness were determined by consensus of 3 pediatric hospital medicine faculty and were informed by qualitative results of work performed at our institution—work in which families noted challenges with information overload and a desire for pertinent and usable information that would enhance caregiver confidence and discharge preparedness.15 The criteria included statement of diagnosis, description of diagnosis, signs and symptoms indicative of the need for escalation of care (warning signs), the person caregivers should call if worried, and contact information for the primary care provider, subspecialist, and/or emergency department. Each set of discharge instructions was manually evaluated for completeness (presence of each individual component, number of components present, presence of all components). All charts were scored by the same investigator. A convenience sample of 20 charts was evaluated by a different investigator to ensure rating parameters were clear and classification was consistent (defined as perfect agreement). If the primary rater was undecided on a discharge instruction score, the secondary rater rated the instruction, and consensus was reached.

Means, medians, and ranges were calculated to enumerate the distribution of readability levels, understandability scores, and completeness of discharge instructions. Instructions were classified as readable if the FRS score was 6 or under, as understandable if the PEMAT score was under 70%, and as complete if all 5 criteria were satisfied. Descriptive statistics were generated for all demographic and clinical variables.

Demographics of Patients Whose Discharge Instructions Were Reviewed
Table 1

RESULTS

Of the study period’s 3819 discharges, 200 were randomly selected for review. Table 1 lists the demographic and clinical information of patients included in the analyses. Median FRS score was 10, indicating a 10th-grade reading level (interquartile range, 8-12; range, 1-13) (Table 2). Only 14 (7%) of 200 discharge instructions had a score of 6 or under. Median PEMAT understandability score was 73% (interquartile range, 64%-82%), and 36% of instructions had a PEMAT score under 70%. No instruction satisfied all 5 of the defined characteristics of complete discharge instructions (Table 2).

 

Descriptive Statistics of Written Discharge Instructions
Table 2

DISCUSSION

To our knowledge, this is the first study of the readability, understandability, and completeness of discharge instructions in a pediatric population. We found that the majority of discharge instruction readability levels were 10th grade or higher, that many instructions were difficult to understand, and that important information was missing from many instructions.

Discharge instruction readability levels were higher than the literacy level of many families in surrounding communities. The high school dropout rates in Cincinnati are staggering; they range from 22% to 64% in the 10 neighborhoods with the largest proportion of residents not completing high school.16 However, such findings are not unique to Cincinnati; low literacy is prevalent throughout the United States. Caregivers with limited literacy skills may struggle to navigate complex health systems, understand medical instructions and anticipatory guidance, perform child care and self-care tasks, and understand issues related to consent, medical authorization, and risk communication.17

Although readability is important, other factors also correlate with comprehension and execution of discharge tasks.18 Information must be understandable, or presented in a way that makes sense and can inform appropriate action. In many cases in our study, instructions were incomplete, despite previous investigators’ emphasizing caregivers’ desire and need for written instructions that are complete, informative, and inclusive of clearly outlined contingency plans.15,19 In addition, families may differ in the level of support needed after discharge; standardizing elements and including families in the development of discharge instructions may improve communication.8

This study had several limitations. First, the discharge instructions randomly selected for review were all written during the winter months. As the census on the hospital medicine teams is particularly high during that time, authors with competing responsibilities may not have had enough time to write effective discharge instructions then. We selected the winter period in order to capture real-world instructions written during a busy clinical time, when providers care for a high volume of patients. Second, caregiver health literacy and English-language proficiency were not assessed, and information regarding caregivers’ race/ethnicity, educational attainment, and socioeconomic status was unavailable. Third, interrater agreement was not formally evaluated. Fourth, this was a single-center study with results that may not be generalizable.

In conclusion, discharge instructions for pediatric patients are often difficult to read and understand, and incomplete. Efforts to address these communication gaps—including educational initiatives for physician trainees focused on health literacy, and quality improvement work directed at standardization and creation of readable, understandable, and complete discharge instructions—are crucial in providing safe, high-value care. Researchers need to evaluate the relationship between discharge instruction quality and outcomes, including unplanned office visits, emergency department visits, and readmissions.

 

 

Disclosure

Nothing to report.

 

References

1. Kutner MA, Greenberg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy. Washington, DC: US Dept of Education, National Center for Education Statistics; 2006. NCES publication 2006-483. https://nces.ed.gov/pubs2006/2006483.pdf. Published September 2006. Accessed December 21, 2016.
2. Ratzan SC, Parker RM. Introduction. In: Selden CR, Zorn M, Ratzan S, Parker RM, eds. National Library of Medicine Current Bibliographies in Medicine: Health Literacy. Bethesda, MD: US Dept of Health and Human Services, National Institutes of Health; 2000:v-vi. NLM publication CBM 2000-1. https://www.nlm.nih.gov/archive//20061214/pubs/cbm/hliteracy.pdf. Published February 2000. Accessed December 21, 2016.
3. Arora VM, Schaninger C, D’Arcy M, et al. Improving inpatients’ identification of their doctors: use of FACE cards. Jt Comm J Qual Patient Saf. 2009;35(12):613-619. PubMed
4. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep). 2011;(199):1-941. PubMed
5. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients: a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8(1):36-41. PubMed
6. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V. Health literacy and the quality of physician–patient communication during hospitalization. J Hosp Med. 2010;5(5):269-275. PubMed
7. Nielsen-Bohlman L, Panzer AM, Kindig DA, eds; Committee on Health Literacy, Board on Neuroscience and Behavioral Health, Institute of Medicine. Health Literacy: A Prescription to End Confusion. Washington, DC: National Academies Press; 2004.
8. Hahn-Goldberg S, Okrainec K, Huynh T, Zahr N, Abrams H. Co-creating patient-oriented discharge instructions with patients, caregivers, and healthcare providers. J Hosp Med. 2015;10(12):804-807. PubMed
9. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC. Implementation of standardized instructions for insulin at hospital discharge. J Hosp Med. 2009;4(8):E41-E42. PubMed
10. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From discharge to readmission: understanding the process from the patient perspective. J Hosp Med. 2016;11(6):407-412. PubMed
11. Fry E. A readability formula that saves time. J Reading. 1968;11:513-516, 575-578. 
12. D’Alessandro DM, Kingsley P, Johnson-West J. The readability of pediatric patient education materials on the World Wide Web. Arch Pediatr Adolesc Med. 2001;155(7):807-812. PubMed
13. Shoemaker SJ, Wolf MS, Brach C. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide: An Instrument to Assess the Understandability and Actionability of Print and Audiovisual Patient Education Materials. Rockville, MD: US Dept of Health and Human Services, Agency for Healthcare Research and Quality; 2013. http://www.ahrq.gov/professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Published October 2013. Accessed November 27, 2013.
14. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions for hospitalized children. Pediatrics. 2016;138(2). PubMed
15. Solan LG, Beck AF, Brunswick SA, et al; H2O Study Group. The family perspective on hospital to home transitions: a qualitative study. Pediatrics. 2015;136(6):e1539-e1549. PubMed
16. Maloney M, Auffrey C. The Social Areas of Cincinnati: An Analysis of Social Needs: Patterns for Five Census Decades. 5th ed. Cincinnati, OH: University of Cincinnati School of Planning/United Way/University of Cincinnati Community Research Collaborative; 2013. http://www.socialareasofcincinnati.org/files/FifthEdition/SASBook.pdf. Published April 2013. Accessed December 21, 2016.
17. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy and quality: focus on chronic illness care and patient safety. Pediatrics. 2009;124(suppl 3):S315-S326. PubMed
18. Moon RY, Cheng TL, Patel KM, Baumhaft K, Scheidt PC. Parental literacy level and understanding of medical information. Pediatrics. 1998;102(2):e25. PubMed
19. Desai AD, Durkin LK, Jacob-Files EA, Mangione-Smith R. Caregiver perceptions of hospital to home transitions according to medical complexity: a qualitative study. Acad Pediatr. 2016;16(2):136-144. PubMed

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The average American adult reads at an 8th-grade level.1 Limited general literacy can affect health literacy, which is defined as the “degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions.”2,3 Adults with limited health literacy are at risk for poorer outcomes, including overuse of the emergency department and lower adherence to preventive care recommendations.4

Children transitioning from hospital to home depend on their adult caregivers (and their caregivers’ health literacy) to carry out discharge instructions. During the immediate postdischarge period, complex care needs can involve new or changed medications, follow-up instructions, home care instructions, and suggestions regarding when and why to seek additional care.

The discharge education provided to patients in the hospital is often subpar because of lack of standardization and divided responsibility among providers.5 Communication of vital information to patients with low health literacy has been noted to be particularly poor,6 as many patient education materials are written at 10th-, 11th-, and 12th-grade reading levels.4 Evidence supports providing materials written at 6th-grade level or lower to increase comprehension.7 Several studies have evaluated the quality and readability of discharge instructions for hospitalized adults,8,9 and one study found a link between poorly written instructions for adult patients and readmission risk.10 Less is known about readability in pediatrics, in which education may be more important for families of children most commonly hospitalized for acute illness.

We conducted a study to describe readability levels, understandability scores, and completeness of written instructions given to families at hospital discharge.

METHODS

Study Design and Setting

In this study, we performed a cross-sectional review of discharge instructions within electronic health records at Cincinnati Children’s Hospital Medical Center (CCHMC). The study was reviewed and approved by CCHMC’s Institutional Review Board. Charts were randomly selected from all hospital medicine service discharges during two 3-month periods of high patient volume: January-March 2014 and January-March 2015.

CCHMC is a large urban academic referral center that is the sole provider of general, subspecialty, and critical pediatric inpatient care for a large geographical area. CCHMC, which has 600 beds, provides cares for many children who live in impoverished settings. Its hospital medicine service consists of 4 teams that care for approximately 7000 children hospitalized with general pediatric illnesses each year. Each team consists of 5 or 6 pediatric residents supervised by a hospital medicine attending.

Providers, most commonly pediatric interns, generate discharge instructions in electronic health records. In this nonautomated process, they use free-text or nonstandardized templates to create content. At discharge, instructions are printed as part of the postvisit summary, which includes updates on medications and scheduled follow-up appointments. Bedside nurses verbally review the instructions with families and provide printed copies for home use.

 

 

Data Collection and Analysis

A random sequence generator was used to select charts for review. Instructions written in a language other than English were excluded. Written discharge instructions and clinical information, including age, sex, primary diagnosis, insurance type, number of discharge medications, number of scheduled appointments at discharge, and hospital length of stay, were abstracted from electronic health records and anonymized before analysis. The primary outcomes assessed were discharge instruction readability, understandability, and completeness. Readability was calculated with Fry Readability Scale (FRS) scores,11 which range from 1 to 17 and correspond to reading levels (score 1 = 1st-grade reading level). Health literacy experts have used the FRS to assess readability in health care environments.12

Understandability was measured with the Patient Education Materials Assessment Tool (PEMAT), a validated scoring system provided by the Agency for Healthcare Research and Quality.13 The PEMAT measures the understandability of print materials on a scale ranging from 0% to 100%. Higher scores indicate increased understandability, and scores under 70% indicate instructions are difficult to understand.

Although recent efforts have focused on the development of quality metrics for hospital-to-home transitions of pediatric patients,14 during our study there were no standard items to include in pediatric discharge instructions. Five criteria for completeness were determined by consensus of 3 pediatric hospital medicine faculty and were informed by qualitative results of work performed at our institution—work in which families noted challenges with information overload and a desire for pertinent and usable information that would enhance caregiver confidence and discharge preparedness.15 The criteria included statement of diagnosis, description of diagnosis, signs and symptoms indicative of the need for escalation of care (warning signs), the person caregivers should call if worried, and contact information for the primary care provider, subspecialist, and/or emergency department. Each set of discharge instructions was manually evaluated for completeness (presence of each individual component, number of components present, presence of all components). All charts were scored by the same investigator. A convenience sample of 20 charts was evaluated by a different investigator to ensure rating parameters were clear and classification was consistent (defined as perfect agreement). If the primary rater was undecided on a discharge instruction score, the secondary rater rated the instruction, and consensus was reached.

Means, medians, and ranges were calculated to enumerate the distribution of readability levels, understandability scores, and completeness of discharge instructions. Instructions were classified as readable if the FRS score was 6 or under, as understandable if the PEMAT score was under 70%, and as complete if all 5 criteria were satisfied. Descriptive statistics were generated for all demographic and clinical variables.

Demographics of Patients Whose Discharge Instructions Were Reviewed
Table 1

RESULTS

Of the study period’s 3819 discharges, 200 were randomly selected for review. Table 1 lists the demographic and clinical information of patients included in the analyses. Median FRS score was 10, indicating a 10th-grade reading level (interquartile range, 8-12; range, 1-13) (Table 2). Only 14 (7%) of 200 discharge instructions had a score of 6 or under. Median PEMAT understandability score was 73% (interquartile range, 64%-82%), and 36% of instructions had a PEMAT score under 70%. No instruction satisfied all 5 of the defined characteristics of complete discharge instructions (Table 2).

 

Descriptive Statistics of Written Discharge Instructions
Table 2

DISCUSSION

To our knowledge, this is the first study of the readability, understandability, and completeness of discharge instructions in a pediatric population. We found that the majority of discharge instruction readability levels were 10th grade or higher, that many instructions were difficult to understand, and that important information was missing from many instructions.

Discharge instruction readability levels were higher than the literacy level of many families in surrounding communities. The high school dropout rates in Cincinnati are staggering; they range from 22% to 64% in the 10 neighborhoods with the largest proportion of residents not completing high school.16 However, such findings are not unique to Cincinnati; low literacy is prevalent throughout the United States. Caregivers with limited literacy skills may struggle to navigate complex health systems, understand medical instructions and anticipatory guidance, perform child care and self-care tasks, and understand issues related to consent, medical authorization, and risk communication.17

Although readability is important, other factors also correlate with comprehension and execution of discharge tasks.18 Information must be understandable, or presented in a way that makes sense and can inform appropriate action. In many cases in our study, instructions were incomplete, despite previous investigators’ emphasizing caregivers’ desire and need for written instructions that are complete, informative, and inclusive of clearly outlined contingency plans.15,19 In addition, families may differ in the level of support needed after discharge; standardizing elements and including families in the development of discharge instructions may improve communication.8

This study had several limitations. First, the discharge instructions randomly selected for review were all written during the winter months. As the census on the hospital medicine teams is particularly high during that time, authors with competing responsibilities may not have had enough time to write effective discharge instructions then. We selected the winter period in order to capture real-world instructions written during a busy clinical time, when providers care for a high volume of patients. Second, caregiver health literacy and English-language proficiency were not assessed, and information regarding caregivers’ race/ethnicity, educational attainment, and socioeconomic status was unavailable. Third, interrater agreement was not formally evaluated. Fourth, this was a single-center study with results that may not be generalizable.

In conclusion, discharge instructions for pediatric patients are often difficult to read and understand, and incomplete. Efforts to address these communication gaps—including educational initiatives for physician trainees focused on health literacy, and quality improvement work directed at standardization and creation of readable, understandable, and complete discharge instructions—are crucial in providing safe, high-value care. Researchers need to evaluate the relationship between discharge instruction quality and outcomes, including unplanned office visits, emergency department visits, and readmissions.

 

 

Disclosure

Nothing to report.

 

The average American adult reads at an 8th-grade level.1 Limited general literacy can affect health literacy, which is defined as the “degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions.”2,3 Adults with limited health literacy are at risk for poorer outcomes, including overuse of the emergency department and lower adherence to preventive care recommendations.4

Children transitioning from hospital to home depend on their adult caregivers (and their caregivers’ health literacy) to carry out discharge instructions. During the immediate postdischarge period, complex care needs can involve new or changed medications, follow-up instructions, home care instructions, and suggestions regarding when and why to seek additional care.

The discharge education provided to patients in the hospital is often subpar because of lack of standardization and divided responsibility among providers.5 Communication of vital information to patients with low health literacy has been noted to be particularly poor,6 as many patient education materials are written at 10th-, 11th-, and 12th-grade reading levels.4 Evidence supports providing materials written at 6th-grade level or lower to increase comprehension.7 Several studies have evaluated the quality and readability of discharge instructions for hospitalized adults,8,9 and one study found a link between poorly written instructions for adult patients and readmission risk.10 Less is known about readability in pediatrics, in which education may be more important for families of children most commonly hospitalized for acute illness.

We conducted a study to describe readability levels, understandability scores, and completeness of written instructions given to families at hospital discharge.

METHODS

Study Design and Setting

In this study, we performed a cross-sectional review of discharge instructions within electronic health records at Cincinnati Children’s Hospital Medical Center (CCHMC). The study was reviewed and approved by CCHMC’s Institutional Review Board. Charts were randomly selected from all hospital medicine service discharges during two 3-month periods of high patient volume: January-March 2014 and January-March 2015.

CCHMC is a large urban academic referral center that is the sole provider of general, subspecialty, and critical pediatric inpatient care for a large geographical area. CCHMC, which has 600 beds, provides cares for many children who live in impoverished settings. Its hospital medicine service consists of 4 teams that care for approximately 7000 children hospitalized with general pediatric illnesses each year. Each team consists of 5 or 6 pediatric residents supervised by a hospital medicine attending.

Providers, most commonly pediatric interns, generate discharge instructions in electronic health records. In this nonautomated process, they use free-text or nonstandardized templates to create content. At discharge, instructions are printed as part of the postvisit summary, which includes updates on medications and scheduled follow-up appointments. Bedside nurses verbally review the instructions with families and provide printed copies for home use.

 

 

Data Collection and Analysis

A random sequence generator was used to select charts for review. Instructions written in a language other than English were excluded. Written discharge instructions and clinical information, including age, sex, primary diagnosis, insurance type, number of discharge medications, number of scheduled appointments at discharge, and hospital length of stay, were abstracted from electronic health records and anonymized before analysis. The primary outcomes assessed were discharge instruction readability, understandability, and completeness. Readability was calculated with Fry Readability Scale (FRS) scores,11 which range from 1 to 17 and correspond to reading levels (score 1 = 1st-grade reading level). Health literacy experts have used the FRS to assess readability in health care environments.12

Understandability was measured with the Patient Education Materials Assessment Tool (PEMAT), a validated scoring system provided by the Agency for Healthcare Research and Quality.13 The PEMAT measures the understandability of print materials on a scale ranging from 0% to 100%. Higher scores indicate increased understandability, and scores under 70% indicate instructions are difficult to understand.

Although recent efforts have focused on the development of quality metrics for hospital-to-home transitions of pediatric patients,14 during our study there were no standard items to include in pediatric discharge instructions. Five criteria for completeness were determined by consensus of 3 pediatric hospital medicine faculty and were informed by qualitative results of work performed at our institution—work in which families noted challenges with information overload and a desire for pertinent and usable information that would enhance caregiver confidence and discharge preparedness.15 The criteria included statement of diagnosis, description of diagnosis, signs and symptoms indicative of the need for escalation of care (warning signs), the person caregivers should call if worried, and contact information for the primary care provider, subspecialist, and/or emergency department. Each set of discharge instructions was manually evaluated for completeness (presence of each individual component, number of components present, presence of all components). All charts were scored by the same investigator. A convenience sample of 20 charts was evaluated by a different investigator to ensure rating parameters were clear and classification was consistent (defined as perfect agreement). If the primary rater was undecided on a discharge instruction score, the secondary rater rated the instruction, and consensus was reached.

Means, medians, and ranges were calculated to enumerate the distribution of readability levels, understandability scores, and completeness of discharge instructions. Instructions were classified as readable if the FRS score was 6 or under, as understandable if the PEMAT score was under 70%, and as complete if all 5 criteria were satisfied. Descriptive statistics were generated for all demographic and clinical variables.

Demographics of Patients Whose Discharge Instructions Were Reviewed
Table 1

RESULTS

Of the study period’s 3819 discharges, 200 were randomly selected for review. Table 1 lists the demographic and clinical information of patients included in the analyses. Median FRS score was 10, indicating a 10th-grade reading level (interquartile range, 8-12; range, 1-13) (Table 2). Only 14 (7%) of 200 discharge instructions had a score of 6 or under. Median PEMAT understandability score was 73% (interquartile range, 64%-82%), and 36% of instructions had a PEMAT score under 70%. No instruction satisfied all 5 of the defined characteristics of complete discharge instructions (Table 2).

 

Descriptive Statistics of Written Discharge Instructions
Table 2

DISCUSSION

To our knowledge, this is the first study of the readability, understandability, and completeness of discharge instructions in a pediatric population. We found that the majority of discharge instruction readability levels were 10th grade or higher, that many instructions were difficult to understand, and that important information was missing from many instructions.

Discharge instruction readability levels were higher than the literacy level of many families in surrounding communities. The high school dropout rates in Cincinnati are staggering; they range from 22% to 64% in the 10 neighborhoods with the largest proportion of residents not completing high school.16 However, such findings are not unique to Cincinnati; low literacy is prevalent throughout the United States. Caregivers with limited literacy skills may struggle to navigate complex health systems, understand medical instructions and anticipatory guidance, perform child care and self-care tasks, and understand issues related to consent, medical authorization, and risk communication.17

Although readability is important, other factors also correlate with comprehension and execution of discharge tasks.18 Information must be understandable, or presented in a way that makes sense and can inform appropriate action. In many cases in our study, instructions were incomplete, despite previous investigators’ emphasizing caregivers’ desire and need for written instructions that are complete, informative, and inclusive of clearly outlined contingency plans.15,19 In addition, families may differ in the level of support needed after discharge; standardizing elements and including families in the development of discharge instructions may improve communication.8

This study had several limitations. First, the discharge instructions randomly selected for review were all written during the winter months. As the census on the hospital medicine teams is particularly high during that time, authors with competing responsibilities may not have had enough time to write effective discharge instructions then. We selected the winter period in order to capture real-world instructions written during a busy clinical time, when providers care for a high volume of patients. Second, caregiver health literacy and English-language proficiency were not assessed, and information regarding caregivers’ race/ethnicity, educational attainment, and socioeconomic status was unavailable. Third, interrater agreement was not formally evaluated. Fourth, this was a single-center study with results that may not be generalizable.

In conclusion, discharge instructions for pediatric patients are often difficult to read and understand, and incomplete. Efforts to address these communication gaps—including educational initiatives for physician trainees focused on health literacy, and quality improvement work directed at standardization and creation of readable, understandable, and complete discharge instructions—are crucial in providing safe, high-value care. Researchers need to evaluate the relationship between discharge instruction quality and outcomes, including unplanned office visits, emergency department visits, and readmissions.

 

 

Disclosure

Nothing to report.

 

References

1. Kutner MA, Greenberg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy. Washington, DC: US Dept of Education, National Center for Education Statistics; 2006. NCES publication 2006-483. https://nces.ed.gov/pubs2006/2006483.pdf. Published September 2006. Accessed December 21, 2016.
2. Ratzan SC, Parker RM. Introduction. In: Selden CR, Zorn M, Ratzan S, Parker RM, eds. National Library of Medicine Current Bibliographies in Medicine: Health Literacy. Bethesda, MD: US Dept of Health and Human Services, National Institutes of Health; 2000:v-vi. NLM publication CBM 2000-1. https://www.nlm.nih.gov/archive//20061214/pubs/cbm/hliteracy.pdf. Published February 2000. Accessed December 21, 2016.
3. Arora VM, Schaninger C, D’Arcy M, et al. Improving inpatients’ identification of their doctors: use of FACE cards. Jt Comm J Qual Patient Saf. 2009;35(12):613-619. PubMed
4. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep). 2011;(199):1-941. PubMed
5. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients: a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8(1):36-41. PubMed
6. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V. Health literacy and the quality of physician–patient communication during hospitalization. J Hosp Med. 2010;5(5):269-275. PubMed
7. Nielsen-Bohlman L, Panzer AM, Kindig DA, eds; Committee on Health Literacy, Board on Neuroscience and Behavioral Health, Institute of Medicine. Health Literacy: A Prescription to End Confusion. Washington, DC: National Academies Press; 2004.
8. Hahn-Goldberg S, Okrainec K, Huynh T, Zahr N, Abrams H. Co-creating patient-oriented discharge instructions with patients, caregivers, and healthcare providers. J Hosp Med. 2015;10(12):804-807. PubMed
9. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC. Implementation of standardized instructions for insulin at hospital discharge. J Hosp Med. 2009;4(8):E41-E42. PubMed
10. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From discharge to readmission: understanding the process from the patient perspective. J Hosp Med. 2016;11(6):407-412. PubMed
11. Fry E. A readability formula that saves time. J Reading. 1968;11:513-516, 575-578. 
12. D’Alessandro DM, Kingsley P, Johnson-West J. The readability of pediatric patient education materials on the World Wide Web. Arch Pediatr Adolesc Med. 2001;155(7):807-812. PubMed
13. Shoemaker SJ, Wolf MS, Brach C. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide: An Instrument to Assess the Understandability and Actionability of Print and Audiovisual Patient Education Materials. Rockville, MD: US Dept of Health and Human Services, Agency for Healthcare Research and Quality; 2013. http://www.ahrq.gov/professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Published October 2013. Accessed November 27, 2013.
14. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions for hospitalized children. Pediatrics. 2016;138(2). PubMed
15. Solan LG, Beck AF, Brunswick SA, et al; H2O Study Group. The family perspective on hospital to home transitions: a qualitative study. Pediatrics. 2015;136(6):e1539-e1549. PubMed
16. Maloney M, Auffrey C. The Social Areas of Cincinnati: An Analysis of Social Needs: Patterns for Five Census Decades. 5th ed. Cincinnati, OH: University of Cincinnati School of Planning/United Way/University of Cincinnati Community Research Collaborative; 2013. http://www.socialareasofcincinnati.org/files/FifthEdition/SASBook.pdf. Published April 2013. Accessed December 21, 2016.
17. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy and quality: focus on chronic illness care and patient safety. Pediatrics. 2009;124(suppl 3):S315-S326. PubMed
18. Moon RY, Cheng TL, Patel KM, Baumhaft K, Scheidt PC. Parental literacy level and understanding of medical information. Pediatrics. 1998;102(2):e25. PubMed
19. Desai AD, Durkin LK, Jacob-Files EA, Mangione-Smith R. Caregiver perceptions of hospital to home transitions according to medical complexity: a qualitative study. Acad Pediatr. 2016;16(2):136-144. PubMed

References

1. Kutner MA, Greenberg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy. Washington, DC: US Dept of Education, National Center for Education Statistics; 2006. NCES publication 2006-483. https://nces.ed.gov/pubs2006/2006483.pdf. Published September 2006. Accessed December 21, 2016.
2. Ratzan SC, Parker RM. Introduction. In: Selden CR, Zorn M, Ratzan S, Parker RM, eds. National Library of Medicine Current Bibliographies in Medicine: Health Literacy. Bethesda, MD: US Dept of Health and Human Services, National Institutes of Health; 2000:v-vi. NLM publication CBM 2000-1. https://www.nlm.nih.gov/archive//20061214/pubs/cbm/hliteracy.pdf. Published February 2000. Accessed December 21, 2016.
3. Arora VM, Schaninger C, D’Arcy M, et al. Improving inpatients’ identification of their doctors: use of FACE cards. Jt Comm J Qual Patient Saf. 2009;35(12):613-619. PubMed
4. Berkman ND, Sheridan SL, Donahue KE, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep). 2011;(199):1-941. PubMed
5. Ashbrook L, Mourad M, Sehgal N. Communicating discharge instructions to patients: a survey of nurse, intern, and hospitalist practices. J Hosp Med. 2013;8(1):36-41. PubMed
6. Kripalani S, Jacobson TA, Mugalla IC, Cawthon CR, Niesner KJ, Vaccarino V. Health literacy and the quality of physician–patient communication during hospitalization. J Hosp Med. 2010;5(5):269-275. PubMed
7. Nielsen-Bohlman L, Panzer AM, Kindig DA, eds; Committee on Health Literacy, Board on Neuroscience and Behavioral Health, Institute of Medicine. Health Literacy: A Prescription to End Confusion. Washington, DC: National Academies Press; 2004.
8. Hahn-Goldberg S, Okrainec K, Huynh T, Zahr N, Abrams H. Co-creating patient-oriented discharge instructions with patients, caregivers, and healthcare providers. J Hosp Med. 2015;10(12):804-807. PubMed
9. Lauster CD, Gibson JM, DiNella JV, DiNardo M, Korytkowski MT, Donihi AC. Implementation of standardized instructions for insulin at hospital discharge. J Hosp Med. 2009;4(8):E41-E42. PubMed
10. Howard-Anderson J, Busuttil A, Lonowski S, Vangala S, Afsar-Manesh N. From discharge to readmission: understanding the process from the patient perspective. J Hosp Med. 2016;11(6):407-412. PubMed
11. Fry E. A readability formula that saves time. J Reading. 1968;11:513-516, 575-578. 
12. D’Alessandro DM, Kingsley P, Johnson-West J. The readability of pediatric patient education materials on the World Wide Web. Arch Pediatr Adolesc Med. 2001;155(7):807-812. PubMed
13. Shoemaker SJ, Wolf MS, Brach C. The Patient Education Materials Assessment Tool (PEMAT) and User’s Guide: An Instrument to Assess the Understandability and Actionability of Print and Audiovisual Patient Education Materials. Rockville, MD: US Dept of Health and Human Services, Agency for Healthcare Research and Quality; 2013. http://www.ahrq.gov/professionals/prevention-chronic-care/improve/self-mgmt/pemat/index.html. Published October 2013. Accessed November 27, 2013.
14. Leyenaar JK, Desai AD, Burkhart Q, et al. Quality measures to assess care transitions for hospitalized children. Pediatrics. 2016;138(2). PubMed
15. Solan LG, Beck AF, Brunswick SA, et al; H2O Study Group. The family perspective on hospital to home transitions: a qualitative study. Pediatrics. 2015;136(6):e1539-e1549. PubMed
16. Maloney M, Auffrey C. The Social Areas of Cincinnati: An Analysis of Social Needs: Patterns for Five Census Decades. 5th ed. Cincinnati, OH: University of Cincinnati School of Planning/United Way/University of Cincinnati Community Research Collaborative; 2013. http://www.socialareasofcincinnati.org/files/FifthEdition/SASBook.pdf. Published April 2013. Accessed December 21, 2016.
17. Rothman RL, Yin HS, Mulvaney S, Co JP, Homer C, Lannon C. Health literacy and quality: focus on chronic illness care and patient safety. Pediatrics. 2009;124(suppl 3):S315-S326. PubMed
18. Moon RY, Cheng TL, Patel KM, Baumhaft K, Scheidt PC. Parental literacy level and understanding of medical information. Pediatrics. 1998;102(2):e25. PubMed
19. Desai AD, Durkin LK, Jacob-Files EA, Mangione-Smith R. Caregiver perceptions of hospital to home transitions according to medical complexity: a qualitative study. Acad Pediatr. 2016;16(2):136-144. PubMed

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Hospital outcomes associated with guideline‐recommended antibiotic therapy for pediatric pneumonia

Community‐acquired pneumonia (CAP) is a common and serious infection in children. With more than 150,000 children requiring hospitalization annually, CAP is the fifth most prevalent and the second most costly diagnosis of all pediatric hospitalizations in the United States.[1, 2, 3]

In August 2011, the Pediatric Infectious Diseases Society (PIDS) and the Infectious Diseases Society of America (IDSA) published an evidence‐based guideline for the management of CAP in children. This guideline recommended that fully immunized children without underlying complications who require hospitalization receive an aminopenicillin as first‐line antibiotic therapy.[4] Additionally, the guideline recommends empirically adding a macrolide to an aminopenicillin when atypical pneumonia is a diagnostic consideration.

This recommendation was a substantial departure from practice for hospitals nationwide, as a multicenter study of children's hospitals (20052010) demonstrated that <10% of patients diagnosed with CAP received aminopenicillins as empiric therapy.[5] Since publication of the PIDS/IDSA guidelines, the use of aminopenicillins has increased significantly across institutions, but the majority of hospitalized patients still receive broad‐spectrum cephalosporin therapy for CAP.[6]

At baseline, 30% of patients hospitalized with CAP received guideline‐recommended antibiotic therapy at our institution. Through the use of quality‐improvement methods, the proportion of patients receiving guideline‐recommended therapy increased to 100%.[7] The objective of this study was to ensure that there were not unintended negative consequences to guideline implementation. Specifically, we sought to identify changes in length of stay (LOS), hospital costs, and treatment failures associated with use of guideline‐recommended antibiotic therapy for children hospitalized with uncomplicated CAP.

METHODS

Study Design and Study Population

This retrospective cohort study included children age 3 months to 18 years, hospitalized with CAP, between May 2, 2011 and July 30, 2012, at Cincinnati Children's Hospital Medical Center (CCHMC), a 512‐bed free‐standing children's hospital. The CCHMC Institutional Review Board approved this study with a waiver of informed consent.

Patients were eligible for inclusion if they were admitted to the hospital for inpatient or observation level care with a primary or secondary International Classification of Disease, 9th Revision discharge diagnosis code of pneumonia (480.02, 480.89, 481, 482.0, 482.30‐2, 482.41‐2, 482.83, 482.8990, 483.8, 484.3, 485, 486, 487.0) or effusion/empyema (510.0, 510.9, 511.01, 511.89, 513).[8] Patients with complex chronic conditions[9] were excluded. Medical records of eligible patients (n=260) were reviewed by 2 members of the study team to ensure that patients fell into the purview of the guideline. Patients who did not receive antibiotics (n=11) or for whom there was documented concern for aspiration (n=1) were excluded. Additionally, patients with immunodeficiency (n=1) or who had not received age‐appropriate vaccinations (n=2), and patients who required intensive care unit admission on presentation (n=17) or who had a complicated pneumonia, defined by presence of moderate or large pleural effusion at time of admission (n=8), were also excluded.[7] Finally, for patients with multiple pneumonia admissions, only the index visit was included; subsequent visits occurring within 30 days of discharge were considered readmissions.

Treatment Measure

The primary exposure of interest was empiric antibiotic therapy upon hospital admission. Antibiotic therapy was classified as guideline recommended or nonguideline recommended. Guideline‐recommended therapy was defined as follows:

  1. For children without drug allergies: ampicillin (200 mg/kg/day intravenously) or amoxicillin (90 mg/kg/day orally);
  2. For children with penicillin allergy: ceftriaxone (50100 mg/kg/day intravenously or intramuscularly) or cefdinir (14 mg/kg/day orally);
  3. For children with penicillin and cephalosporin allergy: clindamycin (40 mg/kg/day orally or intravenously); and
  4. Or azithromycin (10 mg/kg/day orally or intravenously on day 1) in combination with antibiotic category 1 or 2 or 3 above.

 

Outcome Measures

The primary outcomes examined were hospital LOS, total cost of hospitalization, and inpatient pharmacy costs. LOS was measured in hours and defined as the difference in time between departure from and arrival to the inpatient unit. Total cost of index hospitalization included both direct and indirect costs, obtained from the Centers for Medicare & Medicaid Services' Relative Value Units data for Current Procedural Terminology codes.[10]

Secondary outcomes included broadening of antibiotic therapy during the hospital course, pneumonia‐related emergency department (ED) revisits within 30 days, and pneumonia‐related inpatient readmissions within 30 days. Broadening of antibiotic therapy was defined as addition of a second antibiotic (eg, adding azithromycin on day 3 of hospitalization) or change in empiric antibiotic to a class with broader antimicrobial activity (eg, ampicillin to ceftriaxone) at any time during hospitalization. As our study population included only patients with uncomplicated pneumonia at the time of admission, this outcome was used to capture possible treatment failure. ED revisits and inpatient readmissions were reviewed by 3 investigators to identify pneumonia‐related visits. To encompass all possible treatment failures, all respiratory‐related complaints (eg, wheezing, respiratory distress) were considered as pneumonia‐related. Disagreements were resolved by group discussion.

Covariates

Severity of illness on presentation was evaluated using the Emergency Severity Index version 4,[11] abnormal vital signs on presentation (as defined by Pediatric Advanced Life Support age‐specific criteria[12]), and need for oxygen in the first 24 hours of hospitalization. Supplemental oxygen is administered for saturations <91% per protocol at our institution. The patient's highest Pediatric Early Warning Scale score[13] during hospitalization was used as a proxy for disease severity. Exam findings on presentation (eg, increased respiratory effort, rales, wheezing) were determined through chart review. Laboratory tests and radiologic imaging variables included complete blood cell count, blood culture, chest radiograph, chest ultrasound, and chest computed tomography. Abnormal white blood cell count was defined as <5000 or >15,000 cells/mL, the defined reference range for the CCHMC clinical laboratory.

Data Analysis

Continuous variables were described using median and interquartile range (IQR) and compared across groups using Wilcoxon rank sum test due to non‐normal distributions. Categorical variables were described by counts and frequencies and compared using the 2 test.

Multivariable linear regression analysis was performed to assess the independent effect of receipt of empiric guideline‐recommended antibiotic therapy on outcomes of LOS and costs while adjusting for covariates. As LOS and costs were non‐normally distributed, we logarithmically transformed these values to use as the dependent variables in our models. The resulting coefficients were back‐transformed to reflect the percent change in LOS and costs incurred between subjects who received empiric guideline therapy compared with those who did not.[14] Covariates were chosen a priori due to their clinical and biological relevance to the outcomes of LOS (eg, wheezing on presentation and need for supplemental oxygen), total cost of hospitalization (eg, LOS and need for repeat imaging), and inpatient pharmacy costs (eg, LOS and wheezing on presentation) (Table 1).

Cohort Characteristics
CharacteristicOverall Cohort, n=220Guideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: CT, computed tomography; IQR, interquartile range; PEWS, Pediatric Early Warning Scale. *P<0.05.

Age, y, median (IQR)2.9 (1.36.3)2.5 (1.35.2)5.6 (2.38.8)<0.01*
Male, no. (%)122 (55.5%)89 (53.6%)33 (61.1%)0.34
Emergency Severity Index, no. (%)0.11
290 (40.9%)73 (44.0%)17 (31.5%) 
3116 (52.7%)85 (51.2%)31 (57.4%) 
414 (6.4%)8 (4.8%)6 (11.1%) 
Abnormal vital signs on presentation, no. (%)
Fever99 (45.0%)80 (48.2%)19 (35.2%)0.10
Tachycardia100 (45.5%)76 (45.8%)24 (44.4%)0.86
Tachypnea124 (56.4%)100 (60.2%)24 (44.4%)0.04*
Hypotension000 
Hypoxia27 (12.3%)24 (14.5%)3 (5.6%)0.08
Physical exam on presentation, no. (%)
Increased respiratory effort146 (66.4%)111 (66.9%)35 (64.8%)0.78
Distressed110 (50.0%)86 (51.8%)24 (44.4%)0.35
Retraction103 (46.8%)81 (48.8%)22 (40.7%)0.30
Grunting17 (7.7%)14 (8.4%)3 (5.6%)0.49
Nasal flaring19 (8.6%)17 (10.2%)2 (3.7%)0.14
Rales135 (61.4%)99 (59.6%)36 (66.7%)0.36
Wheeze91 (41.4%)66 (39.8%)25 (46.3%)0.40
Decreased breath sounds89 (40.5%)65 (39.2%)24 (44.4%)0.49
Dehydration21 (9.6%)13 (7.8%)8 (14.8%)0.13
PEWS 5 during admission, no. (%)43 (19.6%)34 (20.5%)9 (16.7%)0.54
Oxygen requirement in first 24 hours, no. (%)114 (51.8%)90 (53.6%)24 (46.2%)0.35
Complete blood count obtained, no. (%)99 (45.0%)72 (43.4%)27 (50.0%)0.40
Abnormal white blood cell count35 (35.7%)23 (32.4%)12 (44.4%)0.27
Blood culture obtained, no. (%)104 (47.3%)80 (48.2%)24 (44.4%)0.63
Positive2 (1.9%)1 (1.3%)1 (4.2%)0.36
Chest radiograph available, no. (%)214 (97.3%)161 (97.0%)53 (98.2%)0.65
Infiltrate178 (83.2%)139 (86.3%)39 (73.6%)0.03*
Bilateral29 (16.3%)20 (14.4%)9 (23.1%)0.19
Multilobar46 (25.8%)33 (23.7%)13 (33.3%)0.23
Effusion24 (11.2%)16 (9.9%)8 (15.1%)0.30
Additional imaging, no. (%)    
Repeat chest radiograph26 (11.8%)17 (10.2%)9 (16.7%)0.20
Chest ultrasound4 (1.8%)3 (1.8%)1 (1.9%)0.98
Chest CT2 (0.9%)1 (0.6%)1 (1.9%)0.40
Antibiotic, no. (%)   <0.01*
Aminopenicillin140 (63.6%)140 (84.3%)0 (0%) 
Third‐generation cephalosporin37 (16.8%)8 (4.8%)29 (53.7%) 
Macrolide monotherapy18 (8.2%)0 (0%)18 (33.3%) 
Clindamycin2 (0.9%)1 (0.6%)1 (1.9%) 
Levofloxacin1 (0.5%)0 (0%)1 (1.9%) 
Aminopenicillin+macrolide16 (7.3%)16 (9.6%)0 (0%) 
Cephalosporin+macrolide6 (2.7%)1 (0.6%)5 (9.3%) 

Secondary outcomes of broadened antibiotic therapy, ED revisits, and hospital readmissions were assessed using the Fisher exact test. Due to the small number of events, we were unable to evaluate these associations in models adjusted for potential confounders.

All analyses were performed with SAS version 9.3 (SAS Institute, Cary, NC), and P values <0.05 were considered significant.

RESULTS

Of the 220 unique patients included, 122 (55%) were male. The median age was 2.9 years (IQR: 1.36.3 years). Empiric guideline‐recommended therapy was prescribed to 168 (76%) patients (Table 1). Aminopenicillins were the most common guideline‐recommended therapy, accounting for 84% of guideline‐recommended antibiotics. An additional 10% of patients received the guideline‐recommended combination therapy with an aminopenicillin and a macrolide. Nonguideline‐recommended therapy included third‐generation cephalosporin antibiotics (54%) and macrolide monotherapy (33%).

Those who received empiric guideline‐recommended antibiotic therapy were similar to those who received nonguideline‐recommended therapy with respect to sex, Emergency Severity Index, physical exam findings on presentation, oxygen requirement in the first 24 hours, abnormal laboratory findings, presence of effusion on chest radiograph, and need for additional imaging (Table 1). However, patients in the guideline‐recommended therapy group were significantly younger (median 2.5 years vs 5.6 years, P0.01), more likely to have elevated respiratory rate on presentation (60.2% vs 44.4%, P=0.04), and more likely to have an infiltrate on chest radiograph (86.3% vs 73.6%, P=0.03) (Table 1). Patients who received nonguideline‐recommended macrolide monotherapy had a median age of 7.4 years (IQR: 5.89.8 years).

Median hospital LOS for the total cohort was 1.3 days (IQR: 0.91.9 days) (Table 2). There were no differences in LOS between patients who received and did not receive guideline‐recommended therapy in the unadjusted or the adjusted model (Table 3).

Unadjusted Outcomes
OutcomeGuideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: IQR, interquartile range.

Length of stay, d, median (IQR)1.3 (0.91.9)1.3 (0.92.0)0.74
Total costs, median, (IQR)$4118 ($2,647$6,004)$4045 ($2,829$6,200)0.44
Pharmacy total costs, median, (IQR)$84 ($40$179)$106 ($58$217)0.12
Broadened therapy, no. (%)10 (6.0%)4 (7.4%)0.75
Emergency department revisit, no. (%)7 (4.2%)2 (3.7%)1.00
Readmission, no. (%)1 (0.6%)1 (1.9%)0.43
Univariate and Multivariate Analyses of Receipt of Empiric Guideline‐Recommended Therapy With Length of Stay, Total Costs, and Pharmacy Costs
OutcomeUnadjusted Coefficient (95% CI)Adjusted Coefficient (95% CI)Adjusted % Change in Outcome (95% CI)*
  • NOTE: Abbreviations: CI, confidence interval. *Negative adjusted percent change indicates decrease in outcome associated with guideline‐recommended therapy; positive adjusted percent change indicates increase in outcome associated with guideline‐recommended therapy. Model is adjusted for age, fever on presentation, tachypnea on presentation, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, chest radiograph findings, and need for repeat imaging. Model is adjusted for age, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, need for repeat imaging, and length of stay. Model is adjusted for age, wheezing on presentation, and length of stay.

Length of stay0.06 (0.27 to 0.15)0.06 (0.25 to 0.12)5.8 (22.1 to 12.8)
Total costs0.18 (0.40 to 0.04)0.11 (0.32 to 0.09)10.9 (27.4 to 9.4)
Pharmacy total costs0.44 (0.46 to 0.02)0.16 (0.57 to 0.24)14.8 (43.4 to 27.1)

Median total costs of the index hospitalization for the total cohort were $4097 (IQR: $2657$6054), with median inpatient pharmacy costs of $92 (IQR: $40$183) (Table 2). There were no differences in total or inpatient pharmacy costs for patients who received guideline‐recommended therapy compared with those who did not in unadjusted or adjusted analyses. Fourteen patients (6.4%) had antibiotic therapy broadened during hospitalization, 10 were initially prescribed guideline‐recommended therapy, and 4 were initially prescribed nonguideline‐recommended therapy (Table 4).

Clinical Details of Patients Who Had Antibiotic Therapy Broadened During Initial Hospitalization
Initial TherapyReasons for Antibiotic Change Identified From Chart Review
Guideline=10Ampicillin to ceftriaxone:
1 patient with clinical worsening
1 patient with coincident urinary tract infection due to resistant organism
4 patients without evidence of clinical worsening or documentation of rationale
Addition of a macrolide:
3 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening
Nonguideline=4Ceftriaxone to clindamycin:
1 patient with clinical worsening
Addition of a macrolide:
1 patient with clinical worsening
1 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening

Of the 9 pneumonia‐related ED revisits within 30 days of discharge, 7 occurred in patients prescribed empiric guideline‐recommended therapy (Table 5). No ED revisit resulted in hospital readmission or antibiotic change related to pneumonia. Two ED revisits resulted in new antibiotic prescriptions for diagnoses other than pneumonia.

Clinical Details of Patients With an Emergency Department Revisit or Inpatient Readmission Following Index Hospitalization
RevisitInitial TherapyDay PostdischargeClinical Symptoms at Return VisitClinical DiagnosisAntibiotic Prescription
  • NOTE: Abbreviations: ED, emergency department; IV, intravenous.

EDGuideline3Poor oral intake and feverPneumoniaContinued prior antibiotic
EDGuideline8Recurrent cough and feverResolving pneumoniaContinued prior antibiotic
EDGuideline13Follow‐upResolved pneumoniaNo further antibiotic
EDGuideline16Increased work of breathingReactive airway diseaseNo antibiotic
EDGuideline20Persistent coughViral illnessNo antibiotic
EDGuideline22Recurrent cough and congestionSinusitisAugmentin
EDGuideline26Increased work of breathingReactive airway diseaseNo antibiotic
EDNonguideline16Recurrent feverAcute otitis mediaAmoxicillin
EDNonguideline20Recurrent cough and feverViral illnessNo antibiotic
AdmissionGuideline3Increased work of breathingPneumoniaIV ampicillin
AdmissionNonguideline9Refusal to take oral clindamycinPneumoniaIV clindamycin

Two patients were readmitted for a pneumonia‐related illness within 30 days of discharge; 1 had received guideline‐recommended therapy (Table 5). Both patients were directly admitted to the inpatient ward without an associated ED visit. Antibiotic class was not changed for either patient upon readmission, despite the decision to convert to intravenous form.

DISCUSSION

In this retrospective cohort study, patients who received empiric guideline‐recommended antibiotic therapy on admission for CAP had no difference in LOS, total cost of hospitalization, or inpatient pharmacy costs compared with those who received therapy that varied from guideline recommendations. Our study suggests that prescribing narrow‐spectrum therapy and, in some circumstances, combination therapy, as recommended by the 2011 PIDS/IDSA pneumonia guideline, did not result in negative unintended consequences.

In our study, children receiving guideline‐recommended therapy were younger, more likely to have elevated respiratory rate on presentation, and more likely to have an infiltrate on chest radiograph. We hypothesize the age difference is a reflection of common use of nonguideline macrolide monotherapy in the older, school‐age child, as macrolides are commonly used for coverage of Mycoplasma pneumonia in older children with CAP.[15] Children receiving macrolide monotherapy were older than those receiving guideline‐recommended therapy (median age of 7.4 years and 2.5 years, respectively). We also hypothesize that some providers may prescribe macrolide monotherapy to children deemed less ill than expected for CAP (eg, normal percutaneous oxygen saturation). This hypothesis is supported by the finding that 60% of patients who had a normal respiratory rate and received nonguideline therapy were prescribed macrolide monotherapy. We did control for the characteristics that varied between the two treatment groups in our models to eliminate potential confounding.

One prior study evaluated the effects of guideline implementation in CAP. In evaluation of a clinical practice guideline that recommended ampicillin as first‐line therapy for CAP, no significant difference was found following guideline introduction in the number of treatment failures (defined as the need to broaden therapy or development of complicated pneumonia within 48 hours or 30‐day inpatient readmission).[16] Our study builds on these findings by directly comparing outcomes between recipients of guideline and nonguideline therapy, which was not done in the prestudy or poststudy design of prior work.[16] We believe that classifying patients based on empiric therapy received rather than timing of guideline introduction thoroughly examines the effect of following guideline recommendations. Additionally, outcomes other than treatment failures were examined in our study including LOS, costs, and ED revisits.

Our results are similar to other observational studies that compared narrow‐ and broad‐spectrum antibiotics for children hospitalized with CAP. Using administrative data, Williams et al. found no significant difference in LOS or cost between narrow‐ and broad‐spectrum intravenous antibiotic recipients ages 6 months to 18 years at 43 children's hospitals.[17] Queen et al. compared narrow‐ and broad‐spectrum antibiotic therapy for children ages 2 months to 18 years at 4 children's hospitals.[18] Differences in average daily cost were not significant, but children who received narrow‐spectrum antibiotics had a significantly shorter LOS. Finally, an observational study of 319 Israeli children <2 years of age found no significant difference in duration of oxygen requirement, LOS, or need for change in antibiotic therapy between the 66 children prescribed aminopenicillins and the 253 children prescribed cefuroxime.[19] These studies suggest that prescribing narrow‐spectrum antimicrobial therapy, as per the guideline recommendations, results in similar outcomes to broad‐spectrum antimicrobial therapy.

Our study adds to prior studies that compared narrow‐ and broad‐spectrum therapy by comparing outcomes associated with guideline‐recommended therapy to nonguideline therapy. We considered antibiotic therapy as guideline recommended if appropriately chosen per the guideline, not just by simple classification of antibiotic. For example, the use of a cephalosporin in a patient with aminopenicillin allergy was considered guideline‐recommended therapy. We chose to classify the exposure of empiric antibiotic therapy in this manner to reflect true clinical application of the guideline, as not all children are able to receive aminopenicillins. Additionally, as our study stemmed from our prior improvement work aimed at increasing guideline adherent therapy,[7] we have a higher frequency of narrow‐spectrum antibiotic use than prior studies. In our study, almost two‐thirds of patients received narrow‐spectrum therapy, whereas narrow‐spectrum use in prior studies ranged from 10% to 33%.[17, 18, 19] Finally, we were able to confirm the diagnosis of pneumonia via medical record review and to adjust for severity of illness using clinical variables including vital signs, physical exam findings, and laboratory and radiologic study results.

This study must be interpreted in the context of several limitations. First, our study population was defined through discharge diagnosis codes, and therefore dependent on the accuracy of coding. However, we minimized potential for misclassification through use of a previously validated approach to identify patients with CAP and through medical record review to confirm the diagnosis. Second, we may be unable to detect very small differences in outcomes given limited power, specifically for outcomes of LOS, ED revisits, hospital readmissions, and need to broaden antibiotic therapy. Third, residual confounding may be present. Although we controlled for many clinical variables in our analyses, antibiotic prescribing practices may be influenced by unmeasured factors. The potential of system level confounding is mitigated by standardized care for patients with CAP at our institution. Prior system‐level changes using quality‐improvement science have resulted in a high level of adherence with guideline‐recommended antimicrobials as well as standardized medical discharge criteria.[7, 20] Additionally, nonmedical factors may influence LOS, limiting its use as an outcome measure. This limitation was minimized in our study by standardizing medical discharge criteria. Prior work at our institution demonstrated that the majority of patients, including those with CAP, were discharged within 2 hours of meeting medical discharge criteria.[20] Fourth, discharged patients who experienced adverse outcomes may have received care at a nearby adult emergency department or at their pediatrician's office. Although these events would not have been captured in our electronic health record, serious complications due to treatment failure (eg, empyema) would require hospitalization. As our hospital is the only children's hospital in the Greater Cincinnati metropolitan area, these patents would receive care at our institution. Therefore, any misclassification of revisits or readmissions is likely to be minimal. Finally, study patients were admitted to a large tertiary academic children's hospital, warranting further investigation to determine if these findings can be translated to smaller community settings.

In conclusion, receipt of guideline‐recommended antibiotic therapy for patients hospitalized with CAP was not associated with increases in LOS, total costs of hospitalization, or inpatient pharmacy costs. Our findings highlight the importance of changing antibiotic prescribing practices to reflect guideline recommendations, as there was no evidence of negative unintended consequences with our local practice change.

Acknowledgments

Disclosures: Dr. Ambroggio and Dr. Thomson were supported by funds from the NRSA T32HP10027‐14. Dr. Shah was supported by funds from NIAID K01A173729. The authors report no conflicts of interest.

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References
  1. Kronman MP, Hersh AL, Feng R, Huang YS, Lee GE, Shah SS. Ambulatory visit rates and antibiotic prescribing for children with pneumonia, 1994–2007. Pediatrics. 2011;127(3):411418.
  2. Lee GE, Lorch SA, Sheffler‐Collins S, Kronman MP, Shah SS. National hospitalization trends for pediatric pneumonia and associated complications. Pediatrics. 2010;126(2):204213.
  3. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):11551164.
  4. Bradley JS, Byington CL, Shah SS, et al. The management of community‐acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53(7):e25e76.
  5. Brogan TV, Hall M, Williams DJ, et al. Variability in processes of care and outcomes among children hospitalized with community‐acquired pneumonia. Pediatr Infect Dis J. 2012;31(10):10361041.
  6. Ross RK, Hersh AL, Kronman MP, et al. Impact of IDSA/PIDS guidelines on treatment of community‐acquired pneumonia in hospitalized children. Clin Infect Dis. 2014;58(6):834838.
  7. Ambroggio L, Thomson J, Murtagh Kurowski E, et al. Quality improvement methods increase appropriate antibiotic prescribing for childhood pneumonia. Pediatrics. 2013;131(5):e1623e1631.
  8. Williams DJ, Shah SS, Myers A, et al. Identifying pediatric community‐acquired pneumonia hospitalizations: accuracy of administrative billing codes. JAMA Pediatr. 2013;167(9):851858.
  9. Feudtner C, Hays RM, Haynes G, Geyer JR, Neff JM, Koepsell TD. Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107(6):E99.
  10. Centers for Medicare 2011.
  11. Kleinman ME, Chameides L, Schexnayder SM, et al. Pediatric advanced life support: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Pediatrics. 2010;126(5):e1361e1399.
  12. Tucker KM, Brewer TL, Baker RB, Demeritt B, Vossmeyer MT. Prospective evaluation of a pediatric inpatient early warning scoring system. J Spec Pediatr Nurs. 2009;14(2):7985.
  13. Vittinghoff E, Glidden DV, Shiboski SC, McCulloch CE. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. New York, NY: Springer; 2005.
  14. Biondi E, McCulloh R, Alverson B, Klein A, Dixon A. Treatment of mycoplasma pneumonia: a systematic review. Pediatrics. 2014;133(6):10811090.
  15. Newman RE, Hedican EB, Herigon JC, Williams DD, Williams AR, Newland JG. Impact of a guideline on management of children hospitalized with community‐acquired pneumonia. Pediatrics. 2012;129(3):e597e604.
  16. Williams DJ, Hall M, Shah SS, et al. Narrow vs broad‐spectrum antimicrobial therapy for children hospitalized with pneumonia. Pediatrics. 2013;132(5):e1141e1148.
  17. Queen MA, Myers AL, Hall M, et al. Comparative effectiveness of empiric antibiotics for community‐acquired pneumonia. Pediatrics. 2014;133(1):e23e29.
  18. Dinur‐Schejter Y, Cohen‐Cymberknoh M, Tenenbaum A, et al. Antibiotic treatment of children with community‐acquired pneumonia: comparison of penicillin or ampicillin versus cefuroxime. Pediatr Pulmonol. 2013;48(1):5258.
  19. White CM, Statile AM, White DL, et al. Using quality improvement to optimise paediatric discharge efficiency. BMJ Qual Saf. 2014;23(5):428436.
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Community‐acquired pneumonia (CAP) is a common and serious infection in children. With more than 150,000 children requiring hospitalization annually, CAP is the fifth most prevalent and the second most costly diagnosis of all pediatric hospitalizations in the United States.[1, 2, 3]

In August 2011, the Pediatric Infectious Diseases Society (PIDS) and the Infectious Diseases Society of America (IDSA) published an evidence‐based guideline for the management of CAP in children. This guideline recommended that fully immunized children without underlying complications who require hospitalization receive an aminopenicillin as first‐line antibiotic therapy.[4] Additionally, the guideline recommends empirically adding a macrolide to an aminopenicillin when atypical pneumonia is a diagnostic consideration.

This recommendation was a substantial departure from practice for hospitals nationwide, as a multicenter study of children's hospitals (20052010) demonstrated that <10% of patients diagnosed with CAP received aminopenicillins as empiric therapy.[5] Since publication of the PIDS/IDSA guidelines, the use of aminopenicillins has increased significantly across institutions, but the majority of hospitalized patients still receive broad‐spectrum cephalosporin therapy for CAP.[6]

At baseline, 30% of patients hospitalized with CAP received guideline‐recommended antibiotic therapy at our institution. Through the use of quality‐improvement methods, the proportion of patients receiving guideline‐recommended therapy increased to 100%.[7] The objective of this study was to ensure that there were not unintended negative consequences to guideline implementation. Specifically, we sought to identify changes in length of stay (LOS), hospital costs, and treatment failures associated with use of guideline‐recommended antibiotic therapy for children hospitalized with uncomplicated CAP.

METHODS

Study Design and Study Population

This retrospective cohort study included children age 3 months to 18 years, hospitalized with CAP, between May 2, 2011 and July 30, 2012, at Cincinnati Children's Hospital Medical Center (CCHMC), a 512‐bed free‐standing children's hospital. The CCHMC Institutional Review Board approved this study with a waiver of informed consent.

Patients were eligible for inclusion if they were admitted to the hospital for inpatient or observation level care with a primary or secondary International Classification of Disease, 9th Revision discharge diagnosis code of pneumonia (480.02, 480.89, 481, 482.0, 482.30‐2, 482.41‐2, 482.83, 482.8990, 483.8, 484.3, 485, 486, 487.0) or effusion/empyema (510.0, 510.9, 511.01, 511.89, 513).[8] Patients with complex chronic conditions[9] were excluded. Medical records of eligible patients (n=260) were reviewed by 2 members of the study team to ensure that patients fell into the purview of the guideline. Patients who did not receive antibiotics (n=11) or for whom there was documented concern for aspiration (n=1) were excluded. Additionally, patients with immunodeficiency (n=1) or who had not received age‐appropriate vaccinations (n=2), and patients who required intensive care unit admission on presentation (n=17) or who had a complicated pneumonia, defined by presence of moderate or large pleural effusion at time of admission (n=8), were also excluded.[7] Finally, for patients with multiple pneumonia admissions, only the index visit was included; subsequent visits occurring within 30 days of discharge were considered readmissions.

Treatment Measure

The primary exposure of interest was empiric antibiotic therapy upon hospital admission. Antibiotic therapy was classified as guideline recommended or nonguideline recommended. Guideline‐recommended therapy was defined as follows:

  1. For children without drug allergies: ampicillin (200 mg/kg/day intravenously) or amoxicillin (90 mg/kg/day orally);
  2. For children with penicillin allergy: ceftriaxone (50100 mg/kg/day intravenously or intramuscularly) or cefdinir (14 mg/kg/day orally);
  3. For children with penicillin and cephalosporin allergy: clindamycin (40 mg/kg/day orally or intravenously); and
  4. Or azithromycin (10 mg/kg/day orally or intravenously on day 1) in combination with antibiotic category 1 or 2 or 3 above.

 

Outcome Measures

The primary outcomes examined were hospital LOS, total cost of hospitalization, and inpatient pharmacy costs. LOS was measured in hours and defined as the difference in time between departure from and arrival to the inpatient unit. Total cost of index hospitalization included both direct and indirect costs, obtained from the Centers for Medicare & Medicaid Services' Relative Value Units data for Current Procedural Terminology codes.[10]

Secondary outcomes included broadening of antibiotic therapy during the hospital course, pneumonia‐related emergency department (ED) revisits within 30 days, and pneumonia‐related inpatient readmissions within 30 days. Broadening of antibiotic therapy was defined as addition of a second antibiotic (eg, adding azithromycin on day 3 of hospitalization) or change in empiric antibiotic to a class with broader antimicrobial activity (eg, ampicillin to ceftriaxone) at any time during hospitalization. As our study population included only patients with uncomplicated pneumonia at the time of admission, this outcome was used to capture possible treatment failure. ED revisits and inpatient readmissions were reviewed by 3 investigators to identify pneumonia‐related visits. To encompass all possible treatment failures, all respiratory‐related complaints (eg, wheezing, respiratory distress) were considered as pneumonia‐related. Disagreements were resolved by group discussion.

Covariates

Severity of illness on presentation was evaluated using the Emergency Severity Index version 4,[11] abnormal vital signs on presentation (as defined by Pediatric Advanced Life Support age‐specific criteria[12]), and need for oxygen in the first 24 hours of hospitalization. Supplemental oxygen is administered for saturations <91% per protocol at our institution. The patient's highest Pediatric Early Warning Scale score[13] during hospitalization was used as a proxy for disease severity. Exam findings on presentation (eg, increased respiratory effort, rales, wheezing) were determined through chart review. Laboratory tests and radiologic imaging variables included complete blood cell count, blood culture, chest radiograph, chest ultrasound, and chest computed tomography. Abnormal white blood cell count was defined as <5000 or >15,000 cells/mL, the defined reference range for the CCHMC clinical laboratory.

Data Analysis

Continuous variables were described using median and interquartile range (IQR) and compared across groups using Wilcoxon rank sum test due to non‐normal distributions. Categorical variables were described by counts and frequencies and compared using the 2 test.

Multivariable linear regression analysis was performed to assess the independent effect of receipt of empiric guideline‐recommended antibiotic therapy on outcomes of LOS and costs while adjusting for covariates. As LOS and costs were non‐normally distributed, we logarithmically transformed these values to use as the dependent variables in our models. The resulting coefficients were back‐transformed to reflect the percent change in LOS and costs incurred between subjects who received empiric guideline therapy compared with those who did not.[14] Covariates were chosen a priori due to their clinical and biological relevance to the outcomes of LOS (eg, wheezing on presentation and need for supplemental oxygen), total cost of hospitalization (eg, LOS and need for repeat imaging), and inpatient pharmacy costs (eg, LOS and wheezing on presentation) (Table 1).

Cohort Characteristics
CharacteristicOverall Cohort, n=220Guideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: CT, computed tomography; IQR, interquartile range; PEWS, Pediatric Early Warning Scale. *P<0.05.

Age, y, median (IQR)2.9 (1.36.3)2.5 (1.35.2)5.6 (2.38.8)<0.01*
Male, no. (%)122 (55.5%)89 (53.6%)33 (61.1%)0.34
Emergency Severity Index, no. (%)0.11
290 (40.9%)73 (44.0%)17 (31.5%) 
3116 (52.7%)85 (51.2%)31 (57.4%) 
414 (6.4%)8 (4.8%)6 (11.1%) 
Abnormal vital signs on presentation, no. (%)
Fever99 (45.0%)80 (48.2%)19 (35.2%)0.10
Tachycardia100 (45.5%)76 (45.8%)24 (44.4%)0.86
Tachypnea124 (56.4%)100 (60.2%)24 (44.4%)0.04*
Hypotension000 
Hypoxia27 (12.3%)24 (14.5%)3 (5.6%)0.08
Physical exam on presentation, no. (%)
Increased respiratory effort146 (66.4%)111 (66.9%)35 (64.8%)0.78
Distressed110 (50.0%)86 (51.8%)24 (44.4%)0.35
Retraction103 (46.8%)81 (48.8%)22 (40.7%)0.30
Grunting17 (7.7%)14 (8.4%)3 (5.6%)0.49
Nasal flaring19 (8.6%)17 (10.2%)2 (3.7%)0.14
Rales135 (61.4%)99 (59.6%)36 (66.7%)0.36
Wheeze91 (41.4%)66 (39.8%)25 (46.3%)0.40
Decreased breath sounds89 (40.5%)65 (39.2%)24 (44.4%)0.49
Dehydration21 (9.6%)13 (7.8%)8 (14.8%)0.13
PEWS 5 during admission, no. (%)43 (19.6%)34 (20.5%)9 (16.7%)0.54
Oxygen requirement in first 24 hours, no. (%)114 (51.8%)90 (53.6%)24 (46.2%)0.35
Complete blood count obtained, no. (%)99 (45.0%)72 (43.4%)27 (50.0%)0.40
Abnormal white blood cell count35 (35.7%)23 (32.4%)12 (44.4%)0.27
Blood culture obtained, no. (%)104 (47.3%)80 (48.2%)24 (44.4%)0.63
Positive2 (1.9%)1 (1.3%)1 (4.2%)0.36
Chest radiograph available, no. (%)214 (97.3%)161 (97.0%)53 (98.2%)0.65
Infiltrate178 (83.2%)139 (86.3%)39 (73.6%)0.03*
Bilateral29 (16.3%)20 (14.4%)9 (23.1%)0.19
Multilobar46 (25.8%)33 (23.7%)13 (33.3%)0.23
Effusion24 (11.2%)16 (9.9%)8 (15.1%)0.30
Additional imaging, no. (%)    
Repeat chest radiograph26 (11.8%)17 (10.2%)9 (16.7%)0.20
Chest ultrasound4 (1.8%)3 (1.8%)1 (1.9%)0.98
Chest CT2 (0.9%)1 (0.6%)1 (1.9%)0.40
Antibiotic, no. (%)   <0.01*
Aminopenicillin140 (63.6%)140 (84.3%)0 (0%) 
Third‐generation cephalosporin37 (16.8%)8 (4.8%)29 (53.7%) 
Macrolide monotherapy18 (8.2%)0 (0%)18 (33.3%) 
Clindamycin2 (0.9%)1 (0.6%)1 (1.9%) 
Levofloxacin1 (0.5%)0 (0%)1 (1.9%) 
Aminopenicillin+macrolide16 (7.3%)16 (9.6%)0 (0%) 
Cephalosporin+macrolide6 (2.7%)1 (0.6%)5 (9.3%) 

Secondary outcomes of broadened antibiotic therapy, ED revisits, and hospital readmissions were assessed using the Fisher exact test. Due to the small number of events, we were unable to evaluate these associations in models adjusted for potential confounders.

All analyses were performed with SAS version 9.3 (SAS Institute, Cary, NC), and P values <0.05 were considered significant.

RESULTS

Of the 220 unique patients included, 122 (55%) were male. The median age was 2.9 years (IQR: 1.36.3 years). Empiric guideline‐recommended therapy was prescribed to 168 (76%) patients (Table 1). Aminopenicillins were the most common guideline‐recommended therapy, accounting for 84% of guideline‐recommended antibiotics. An additional 10% of patients received the guideline‐recommended combination therapy with an aminopenicillin and a macrolide. Nonguideline‐recommended therapy included third‐generation cephalosporin antibiotics (54%) and macrolide monotherapy (33%).

Those who received empiric guideline‐recommended antibiotic therapy were similar to those who received nonguideline‐recommended therapy with respect to sex, Emergency Severity Index, physical exam findings on presentation, oxygen requirement in the first 24 hours, abnormal laboratory findings, presence of effusion on chest radiograph, and need for additional imaging (Table 1). However, patients in the guideline‐recommended therapy group were significantly younger (median 2.5 years vs 5.6 years, P0.01), more likely to have elevated respiratory rate on presentation (60.2% vs 44.4%, P=0.04), and more likely to have an infiltrate on chest radiograph (86.3% vs 73.6%, P=0.03) (Table 1). Patients who received nonguideline‐recommended macrolide monotherapy had a median age of 7.4 years (IQR: 5.89.8 years).

Median hospital LOS for the total cohort was 1.3 days (IQR: 0.91.9 days) (Table 2). There were no differences in LOS between patients who received and did not receive guideline‐recommended therapy in the unadjusted or the adjusted model (Table 3).

Unadjusted Outcomes
OutcomeGuideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: IQR, interquartile range.

Length of stay, d, median (IQR)1.3 (0.91.9)1.3 (0.92.0)0.74
Total costs, median, (IQR)$4118 ($2,647$6,004)$4045 ($2,829$6,200)0.44
Pharmacy total costs, median, (IQR)$84 ($40$179)$106 ($58$217)0.12
Broadened therapy, no. (%)10 (6.0%)4 (7.4%)0.75
Emergency department revisit, no. (%)7 (4.2%)2 (3.7%)1.00
Readmission, no. (%)1 (0.6%)1 (1.9%)0.43
Univariate and Multivariate Analyses of Receipt of Empiric Guideline‐Recommended Therapy With Length of Stay, Total Costs, and Pharmacy Costs
OutcomeUnadjusted Coefficient (95% CI)Adjusted Coefficient (95% CI)Adjusted % Change in Outcome (95% CI)*
  • NOTE: Abbreviations: CI, confidence interval. *Negative adjusted percent change indicates decrease in outcome associated with guideline‐recommended therapy; positive adjusted percent change indicates increase in outcome associated with guideline‐recommended therapy. Model is adjusted for age, fever on presentation, tachypnea on presentation, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, chest radiograph findings, and need for repeat imaging. Model is adjusted for age, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, need for repeat imaging, and length of stay. Model is adjusted for age, wheezing on presentation, and length of stay.

Length of stay0.06 (0.27 to 0.15)0.06 (0.25 to 0.12)5.8 (22.1 to 12.8)
Total costs0.18 (0.40 to 0.04)0.11 (0.32 to 0.09)10.9 (27.4 to 9.4)
Pharmacy total costs0.44 (0.46 to 0.02)0.16 (0.57 to 0.24)14.8 (43.4 to 27.1)

Median total costs of the index hospitalization for the total cohort were $4097 (IQR: $2657$6054), with median inpatient pharmacy costs of $92 (IQR: $40$183) (Table 2). There were no differences in total or inpatient pharmacy costs for patients who received guideline‐recommended therapy compared with those who did not in unadjusted or adjusted analyses. Fourteen patients (6.4%) had antibiotic therapy broadened during hospitalization, 10 were initially prescribed guideline‐recommended therapy, and 4 were initially prescribed nonguideline‐recommended therapy (Table 4).

Clinical Details of Patients Who Had Antibiotic Therapy Broadened During Initial Hospitalization
Initial TherapyReasons for Antibiotic Change Identified From Chart Review
Guideline=10Ampicillin to ceftriaxone:
1 patient with clinical worsening
1 patient with coincident urinary tract infection due to resistant organism
4 patients without evidence of clinical worsening or documentation of rationale
Addition of a macrolide:
3 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening
Nonguideline=4Ceftriaxone to clindamycin:
1 patient with clinical worsening
Addition of a macrolide:
1 patient with clinical worsening
1 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening

Of the 9 pneumonia‐related ED revisits within 30 days of discharge, 7 occurred in patients prescribed empiric guideline‐recommended therapy (Table 5). No ED revisit resulted in hospital readmission or antibiotic change related to pneumonia. Two ED revisits resulted in new antibiotic prescriptions for diagnoses other than pneumonia.

Clinical Details of Patients With an Emergency Department Revisit or Inpatient Readmission Following Index Hospitalization
RevisitInitial TherapyDay PostdischargeClinical Symptoms at Return VisitClinical DiagnosisAntibiotic Prescription
  • NOTE: Abbreviations: ED, emergency department; IV, intravenous.

EDGuideline3Poor oral intake and feverPneumoniaContinued prior antibiotic
EDGuideline8Recurrent cough and feverResolving pneumoniaContinued prior antibiotic
EDGuideline13Follow‐upResolved pneumoniaNo further antibiotic
EDGuideline16Increased work of breathingReactive airway diseaseNo antibiotic
EDGuideline20Persistent coughViral illnessNo antibiotic
EDGuideline22Recurrent cough and congestionSinusitisAugmentin
EDGuideline26Increased work of breathingReactive airway diseaseNo antibiotic
EDNonguideline16Recurrent feverAcute otitis mediaAmoxicillin
EDNonguideline20Recurrent cough and feverViral illnessNo antibiotic
AdmissionGuideline3Increased work of breathingPneumoniaIV ampicillin
AdmissionNonguideline9Refusal to take oral clindamycinPneumoniaIV clindamycin

Two patients were readmitted for a pneumonia‐related illness within 30 days of discharge; 1 had received guideline‐recommended therapy (Table 5). Both patients were directly admitted to the inpatient ward without an associated ED visit. Antibiotic class was not changed for either patient upon readmission, despite the decision to convert to intravenous form.

DISCUSSION

In this retrospective cohort study, patients who received empiric guideline‐recommended antibiotic therapy on admission for CAP had no difference in LOS, total cost of hospitalization, or inpatient pharmacy costs compared with those who received therapy that varied from guideline recommendations. Our study suggests that prescribing narrow‐spectrum therapy and, in some circumstances, combination therapy, as recommended by the 2011 PIDS/IDSA pneumonia guideline, did not result in negative unintended consequences.

In our study, children receiving guideline‐recommended therapy were younger, more likely to have elevated respiratory rate on presentation, and more likely to have an infiltrate on chest radiograph. We hypothesize the age difference is a reflection of common use of nonguideline macrolide monotherapy in the older, school‐age child, as macrolides are commonly used for coverage of Mycoplasma pneumonia in older children with CAP.[15] Children receiving macrolide monotherapy were older than those receiving guideline‐recommended therapy (median age of 7.4 years and 2.5 years, respectively). We also hypothesize that some providers may prescribe macrolide monotherapy to children deemed less ill than expected for CAP (eg, normal percutaneous oxygen saturation). This hypothesis is supported by the finding that 60% of patients who had a normal respiratory rate and received nonguideline therapy were prescribed macrolide monotherapy. We did control for the characteristics that varied between the two treatment groups in our models to eliminate potential confounding.

One prior study evaluated the effects of guideline implementation in CAP. In evaluation of a clinical practice guideline that recommended ampicillin as first‐line therapy for CAP, no significant difference was found following guideline introduction in the number of treatment failures (defined as the need to broaden therapy or development of complicated pneumonia within 48 hours or 30‐day inpatient readmission).[16] Our study builds on these findings by directly comparing outcomes between recipients of guideline and nonguideline therapy, which was not done in the prestudy or poststudy design of prior work.[16] We believe that classifying patients based on empiric therapy received rather than timing of guideline introduction thoroughly examines the effect of following guideline recommendations. Additionally, outcomes other than treatment failures were examined in our study including LOS, costs, and ED revisits.

Our results are similar to other observational studies that compared narrow‐ and broad‐spectrum antibiotics for children hospitalized with CAP. Using administrative data, Williams et al. found no significant difference in LOS or cost between narrow‐ and broad‐spectrum intravenous antibiotic recipients ages 6 months to 18 years at 43 children's hospitals.[17] Queen et al. compared narrow‐ and broad‐spectrum antibiotic therapy for children ages 2 months to 18 years at 4 children's hospitals.[18] Differences in average daily cost were not significant, but children who received narrow‐spectrum antibiotics had a significantly shorter LOS. Finally, an observational study of 319 Israeli children <2 years of age found no significant difference in duration of oxygen requirement, LOS, or need for change in antibiotic therapy between the 66 children prescribed aminopenicillins and the 253 children prescribed cefuroxime.[19] These studies suggest that prescribing narrow‐spectrum antimicrobial therapy, as per the guideline recommendations, results in similar outcomes to broad‐spectrum antimicrobial therapy.

Our study adds to prior studies that compared narrow‐ and broad‐spectrum therapy by comparing outcomes associated with guideline‐recommended therapy to nonguideline therapy. We considered antibiotic therapy as guideline recommended if appropriately chosen per the guideline, not just by simple classification of antibiotic. For example, the use of a cephalosporin in a patient with aminopenicillin allergy was considered guideline‐recommended therapy. We chose to classify the exposure of empiric antibiotic therapy in this manner to reflect true clinical application of the guideline, as not all children are able to receive aminopenicillins. Additionally, as our study stemmed from our prior improvement work aimed at increasing guideline adherent therapy,[7] we have a higher frequency of narrow‐spectrum antibiotic use than prior studies. In our study, almost two‐thirds of patients received narrow‐spectrum therapy, whereas narrow‐spectrum use in prior studies ranged from 10% to 33%.[17, 18, 19] Finally, we were able to confirm the diagnosis of pneumonia via medical record review and to adjust for severity of illness using clinical variables including vital signs, physical exam findings, and laboratory and radiologic study results.

This study must be interpreted in the context of several limitations. First, our study population was defined through discharge diagnosis codes, and therefore dependent on the accuracy of coding. However, we minimized potential for misclassification through use of a previously validated approach to identify patients with CAP and through medical record review to confirm the diagnosis. Second, we may be unable to detect very small differences in outcomes given limited power, specifically for outcomes of LOS, ED revisits, hospital readmissions, and need to broaden antibiotic therapy. Third, residual confounding may be present. Although we controlled for many clinical variables in our analyses, antibiotic prescribing practices may be influenced by unmeasured factors. The potential of system level confounding is mitigated by standardized care for patients with CAP at our institution. Prior system‐level changes using quality‐improvement science have resulted in a high level of adherence with guideline‐recommended antimicrobials as well as standardized medical discharge criteria.[7, 20] Additionally, nonmedical factors may influence LOS, limiting its use as an outcome measure. This limitation was minimized in our study by standardizing medical discharge criteria. Prior work at our institution demonstrated that the majority of patients, including those with CAP, were discharged within 2 hours of meeting medical discharge criteria.[20] Fourth, discharged patients who experienced adverse outcomes may have received care at a nearby adult emergency department or at their pediatrician's office. Although these events would not have been captured in our electronic health record, serious complications due to treatment failure (eg, empyema) would require hospitalization. As our hospital is the only children's hospital in the Greater Cincinnati metropolitan area, these patents would receive care at our institution. Therefore, any misclassification of revisits or readmissions is likely to be minimal. Finally, study patients were admitted to a large tertiary academic children's hospital, warranting further investigation to determine if these findings can be translated to smaller community settings.

In conclusion, receipt of guideline‐recommended antibiotic therapy for patients hospitalized with CAP was not associated with increases in LOS, total costs of hospitalization, or inpatient pharmacy costs. Our findings highlight the importance of changing antibiotic prescribing practices to reflect guideline recommendations, as there was no evidence of negative unintended consequences with our local practice change.

Acknowledgments

Disclosures: Dr. Ambroggio and Dr. Thomson were supported by funds from the NRSA T32HP10027‐14. Dr. Shah was supported by funds from NIAID K01A173729. The authors report no conflicts of interest.

Community‐acquired pneumonia (CAP) is a common and serious infection in children. With more than 150,000 children requiring hospitalization annually, CAP is the fifth most prevalent and the second most costly diagnosis of all pediatric hospitalizations in the United States.[1, 2, 3]

In August 2011, the Pediatric Infectious Diseases Society (PIDS) and the Infectious Diseases Society of America (IDSA) published an evidence‐based guideline for the management of CAP in children. This guideline recommended that fully immunized children without underlying complications who require hospitalization receive an aminopenicillin as first‐line antibiotic therapy.[4] Additionally, the guideline recommends empirically adding a macrolide to an aminopenicillin when atypical pneumonia is a diagnostic consideration.

This recommendation was a substantial departure from practice for hospitals nationwide, as a multicenter study of children's hospitals (20052010) demonstrated that <10% of patients diagnosed with CAP received aminopenicillins as empiric therapy.[5] Since publication of the PIDS/IDSA guidelines, the use of aminopenicillins has increased significantly across institutions, but the majority of hospitalized patients still receive broad‐spectrum cephalosporin therapy for CAP.[6]

At baseline, 30% of patients hospitalized with CAP received guideline‐recommended antibiotic therapy at our institution. Through the use of quality‐improvement methods, the proportion of patients receiving guideline‐recommended therapy increased to 100%.[7] The objective of this study was to ensure that there were not unintended negative consequences to guideline implementation. Specifically, we sought to identify changes in length of stay (LOS), hospital costs, and treatment failures associated with use of guideline‐recommended antibiotic therapy for children hospitalized with uncomplicated CAP.

METHODS

Study Design and Study Population

This retrospective cohort study included children age 3 months to 18 years, hospitalized with CAP, between May 2, 2011 and July 30, 2012, at Cincinnati Children's Hospital Medical Center (CCHMC), a 512‐bed free‐standing children's hospital. The CCHMC Institutional Review Board approved this study with a waiver of informed consent.

Patients were eligible for inclusion if they were admitted to the hospital for inpatient or observation level care with a primary or secondary International Classification of Disease, 9th Revision discharge diagnosis code of pneumonia (480.02, 480.89, 481, 482.0, 482.30‐2, 482.41‐2, 482.83, 482.8990, 483.8, 484.3, 485, 486, 487.0) or effusion/empyema (510.0, 510.9, 511.01, 511.89, 513).[8] Patients with complex chronic conditions[9] were excluded. Medical records of eligible patients (n=260) were reviewed by 2 members of the study team to ensure that patients fell into the purview of the guideline. Patients who did not receive antibiotics (n=11) or for whom there was documented concern for aspiration (n=1) were excluded. Additionally, patients with immunodeficiency (n=1) or who had not received age‐appropriate vaccinations (n=2), and patients who required intensive care unit admission on presentation (n=17) or who had a complicated pneumonia, defined by presence of moderate or large pleural effusion at time of admission (n=8), were also excluded.[7] Finally, for patients with multiple pneumonia admissions, only the index visit was included; subsequent visits occurring within 30 days of discharge were considered readmissions.

Treatment Measure

The primary exposure of interest was empiric antibiotic therapy upon hospital admission. Antibiotic therapy was classified as guideline recommended or nonguideline recommended. Guideline‐recommended therapy was defined as follows:

  1. For children without drug allergies: ampicillin (200 mg/kg/day intravenously) or amoxicillin (90 mg/kg/day orally);
  2. For children with penicillin allergy: ceftriaxone (50100 mg/kg/day intravenously or intramuscularly) or cefdinir (14 mg/kg/day orally);
  3. For children with penicillin and cephalosporin allergy: clindamycin (40 mg/kg/day orally or intravenously); and
  4. Or azithromycin (10 mg/kg/day orally or intravenously on day 1) in combination with antibiotic category 1 or 2 or 3 above.

 

Outcome Measures

The primary outcomes examined were hospital LOS, total cost of hospitalization, and inpatient pharmacy costs. LOS was measured in hours and defined as the difference in time between departure from and arrival to the inpatient unit. Total cost of index hospitalization included both direct and indirect costs, obtained from the Centers for Medicare & Medicaid Services' Relative Value Units data for Current Procedural Terminology codes.[10]

Secondary outcomes included broadening of antibiotic therapy during the hospital course, pneumonia‐related emergency department (ED) revisits within 30 days, and pneumonia‐related inpatient readmissions within 30 days. Broadening of antibiotic therapy was defined as addition of a second antibiotic (eg, adding azithromycin on day 3 of hospitalization) or change in empiric antibiotic to a class with broader antimicrobial activity (eg, ampicillin to ceftriaxone) at any time during hospitalization. As our study population included only patients with uncomplicated pneumonia at the time of admission, this outcome was used to capture possible treatment failure. ED revisits and inpatient readmissions were reviewed by 3 investigators to identify pneumonia‐related visits. To encompass all possible treatment failures, all respiratory‐related complaints (eg, wheezing, respiratory distress) were considered as pneumonia‐related. Disagreements were resolved by group discussion.

Covariates

Severity of illness on presentation was evaluated using the Emergency Severity Index version 4,[11] abnormal vital signs on presentation (as defined by Pediatric Advanced Life Support age‐specific criteria[12]), and need for oxygen in the first 24 hours of hospitalization. Supplemental oxygen is administered for saturations <91% per protocol at our institution. The patient's highest Pediatric Early Warning Scale score[13] during hospitalization was used as a proxy for disease severity. Exam findings on presentation (eg, increased respiratory effort, rales, wheezing) were determined through chart review. Laboratory tests and radiologic imaging variables included complete blood cell count, blood culture, chest radiograph, chest ultrasound, and chest computed tomography. Abnormal white blood cell count was defined as <5000 or >15,000 cells/mL, the defined reference range for the CCHMC clinical laboratory.

Data Analysis

Continuous variables were described using median and interquartile range (IQR) and compared across groups using Wilcoxon rank sum test due to non‐normal distributions. Categorical variables were described by counts and frequencies and compared using the 2 test.

Multivariable linear regression analysis was performed to assess the independent effect of receipt of empiric guideline‐recommended antibiotic therapy on outcomes of LOS and costs while adjusting for covariates. As LOS and costs were non‐normally distributed, we logarithmically transformed these values to use as the dependent variables in our models. The resulting coefficients were back‐transformed to reflect the percent change in LOS and costs incurred between subjects who received empiric guideline therapy compared with those who did not.[14] Covariates were chosen a priori due to their clinical and biological relevance to the outcomes of LOS (eg, wheezing on presentation and need for supplemental oxygen), total cost of hospitalization (eg, LOS and need for repeat imaging), and inpatient pharmacy costs (eg, LOS and wheezing on presentation) (Table 1).

Cohort Characteristics
CharacteristicOverall Cohort, n=220Guideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: CT, computed tomography; IQR, interquartile range; PEWS, Pediatric Early Warning Scale. *P<0.05.

Age, y, median (IQR)2.9 (1.36.3)2.5 (1.35.2)5.6 (2.38.8)<0.01*
Male, no. (%)122 (55.5%)89 (53.6%)33 (61.1%)0.34
Emergency Severity Index, no. (%)0.11
290 (40.9%)73 (44.0%)17 (31.5%) 
3116 (52.7%)85 (51.2%)31 (57.4%) 
414 (6.4%)8 (4.8%)6 (11.1%) 
Abnormal vital signs on presentation, no. (%)
Fever99 (45.0%)80 (48.2%)19 (35.2%)0.10
Tachycardia100 (45.5%)76 (45.8%)24 (44.4%)0.86
Tachypnea124 (56.4%)100 (60.2%)24 (44.4%)0.04*
Hypotension000 
Hypoxia27 (12.3%)24 (14.5%)3 (5.6%)0.08
Physical exam on presentation, no. (%)
Increased respiratory effort146 (66.4%)111 (66.9%)35 (64.8%)0.78
Distressed110 (50.0%)86 (51.8%)24 (44.4%)0.35
Retraction103 (46.8%)81 (48.8%)22 (40.7%)0.30
Grunting17 (7.7%)14 (8.4%)3 (5.6%)0.49
Nasal flaring19 (8.6%)17 (10.2%)2 (3.7%)0.14
Rales135 (61.4%)99 (59.6%)36 (66.7%)0.36
Wheeze91 (41.4%)66 (39.8%)25 (46.3%)0.40
Decreased breath sounds89 (40.5%)65 (39.2%)24 (44.4%)0.49
Dehydration21 (9.6%)13 (7.8%)8 (14.8%)0.13
PEWS 5 during admission, no. (%)43 (19.6%)34 (20.5%)9 (16.7%)0.54
Oxygen requirement in first 24 hours, no. (%)114 (51.8%)90 (53.6%)24 (46.2%)0.35
Complete blood count obtained, no. (%)99 (45.0%)72 (43.4%)27 (50.0%)0.40
Abnormal white blood cell count35 (35.7%)23 (32.4%)12 (44.4%)0.27
Blood culture obtained, no. (%)104 (47.3%)80 (48.2%)24 (44.4%)0.63
Positive2 (1.9%)1 (1.3%)1 (4.2%)0.36
Chest radiograph available, no. (%)214 (97.3%)161 (97.0%)53 (98.2%)0.65
Infiltrate178 (83.2%)139 (86.3%)39 (73.6%)0.03*
Bilateral29 (16.3%)20 (14.4%)9 (23.1%)0.19
Multilobar46 (25.8%)33 (23.7%)13 (33.3%)0.23
Effusion24 (11.2%)16 (9.9%)8 (15.1%)0.30
Additional imaging, no. (%)    
Repeat chest radiograph26 (11.8%)17 (10.2%)9 (16.7%)0.20
Chest ultrasound4 (1.8%)3 (1.8%)1 (1.9%)0.98
Chest CT2 (0.9%)1 (0.6%)1 (1.9%)0.40
Antibiotic, no. (%)   <0.01*
Aminopenicillin140 (63.6%)140 (84.3%)0 (0%) 
Third‐generation cephalosporin37 (16.8%)8 (4.8%)29 (53.7%) 
Macrolide monotherapy18 (8.2%)0 (0%)18 (33.3%) 
Clindamycin2 (0.9%)1 (0.6%)1 (1.9%) 
Levofloxacin1 (0.5%)0 (0%)1 (1.9%) 
Aminopenicillin+macrolide16 (7.3%)16 (9.6%)0 (0%) 
Cephalosporin+macrolide6 (2.7%)1 (0.6%)5 (9.3%) 

Secondary outcomes of broadened antibiotic therapy, ED revisits, and hospital readmissions were assessed using the Fisher exact test. Due to the small number of events, we were unable to evaluate these associations in models adjusted for potential confounders.

All analyses were performed with SAS version 9.3 (SAS Institute, Cary, NC), and P values <0.05 were considered significant.

RESULTS

Of the 220 unique patients included, 122 (55%) were male. The median age was 2.9 years (IQR: 1.36.3 years). Empiric guideline‐recommended therapy was prescribed to 168 (76%) patients (Table 1). Aminopenicillins were the most common guideline‐recommended therapy, accounting for 84% of guideline‐recommended antibiotics. An additional 10% of patients received the guideline‐recommended combination therapy with an aminopenicillin and a macrolide. Nonguideline‐recommended therapy included third‐generation cephalosporin antibiotics (54%) and macrolide monotherapy (33%).

Those who received empiric guideline‐recommended antibiotic therapy were similar to those who received nonguideline‐recommended therapy with respect to sex, Emergency Severity Index, physical exam findings on presentation, oxygen requirement in the first 24 hours, abnormal laboratory findings, presence of effusion on chest radiograph, and need for additional imaging (Table 1). However, patients in the guideline‐recommended therapy group were significantly younger (median 2.5 years vs 5.6 years, P0.01), more likely to have elevated respiratory rate on presentation (60.2% vs 44.4%, P=0.04), and more likely to have an infiltrate on chest radiograph (86.3% vs 73.6%, P=0.03) (Table 1). Patients who received nonguideline‐recommended macrolide monotherapy had a median age of 7.4 years (IQR: 5.89.8 years).

Median hospital LOS for the total cohort was 1.3 days (IQR: 0.91.9 days) (Table 2). There were no differences in LOS between patients who received and did not receive guideline‐recommended therapy in the unadjusted or the adjusted model (Table 3).

Unadjusted Outcomes
OutcomeGuideline Therapy, n=166Nonguideline Therapy, n=54P Value
  • NOTE: Abbreviations: IQR, interquartile range.

Length of stay, d, median (IQR)1.3 (0.91.9)1.3 (0.92.0)0.74
Total costs, median, (IQR)$4118 ($2,647$6,004)$4045 ($2,829$6,200)0.44
Pharmacy total costs, median, (IQR)$84 ($40$179)$106 ($58$217)0.12
Broadened therapy, no. (%)10 (6.0%)4 (7.4%)0.75
Emergency department revisit, no. (%)7 (4.2%)2 (3.7%)1.00
Readmission, no. (%)1 (0.6%)1 (1.9%)0.43
Univariate and Multivariate Analyses of Receipt of Empiric Guideline‐Recommended Therapy With Length of Stay, Total Costs, and Pharmacy Costs
OutcomeUnadjusted Coefficient (95% CI)Adjusted Coefficient (95% CI)Adjusted % Change in Outcome (95% CI)*
  • NOTE: Abbreviations: CI, confidence interval. *Negative adjusted percent change indicates decrease in outcome associated with guideline‐recommended therapy; positive adjusted percent change indicates increase in outcome associated with guideline‐recommended therapy. Model is adjusted for age, fever on presentation, tachypnea on presentation, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, chest radiograph findings, and need for repeat imaging. Model is adjusted for age, wheezing on presentation, need for supplemental oxygen, Pediatric Early Warning Score 5, need for repeat imaging, and length of stay. Model is adjusted for age, wheezing on presentation, and length of stay.

Length of stay0.06 (0.27 to 0.15)0.06 (0.25 to 0.12)5.8 (22.1 to 12.8)
Total costs0.18 (0.40 to 0.04)0.11 (0.32 to 0.09)10.9 (27.4 to 9.4)
Pharmacy total costs0.44 (0.46 to 0.02)0.16 (0.57 to 0.24)14.8 (43.4 to 27.1)

Median total costs of the index hospitalization for the total cohort were $4097 (IQR: $2657$6054), with median inpatient pharmacy costs of $92 (IQR: $40$183) (Table 2). There were no differences in total or inpatient pharmacy costs for patients who received guideline‐recommended therapy compared with those who did not in unadjusted or adjusted analyses. Fourteen patients (6.4%) had antibiotic therapy broadened during hospitalization, 10 were initially prescribed guideline‐recommended therapy, and 4 were initially prescribed nonguideline‐recommended therapy (Table 4).

Clinical Details of Patients Who Had Antibiotic Therapy Broadened During Initial Hospitalization
Initial TherapyReasons for Antibiotic Change Identified From Chart Review
Guideline=10Ampicillin to ceftriaxone:
1 patient with clinical worsening
1 patient with coincident urinary tract infection due to resistant organism
4 patients without evidence of clinical worsening or documentation of rationale
Addition of a macrolide:
3 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening
Nonguideline=4Ceftriaxone to clindamycin:
1 patient with clinical worsening
Addition of a macrolide:
1 patient with clinical worsening
1 patients without evidence of clinical worsening or documentation of rationale
Addition of clindamycin:
1 patient with clinical worsening

Of the 9 pneumonia‐related ED revisits within 30 days of discharge, 7 occurred in patients prescribed empiric guideline‐recommended therapy (Table 5). No ED revisit resulted in hospital readmission or antibiotic change related to pneumonia. Two ED revisits resulted in new antibiotic prescriptions for diagnoses other than pneumonia.

Clinical Details of Patients With an Emergency Department Revisit or Inpatient Readmission Following Index Hospitalization
RevisitInitial TherapyDay PostdischargeClinical Symptoms at Return VisitClinical DiagnosisAntibiotic Prescription
  • NOTE: Abbreviations: ED, emergency department; IV, intravenous.

EDGuideline3Poor oral intake and feverPneumoniaContinued prior antibiotic
EDGuideline8Recurrent cough and feverResolving pneumoniaContinued prior antibiotic
EDGuideline13Follow‐upResolved pneumoniaNo further antibiotic
EDGuideline16Increased work of breathingReactive airway diseaseNo antibiotic
EDGuideline20Persistent coughViral illnessNo antibiotic
EDGuideline22Recurrent cough and congestionSinusitisAugmentin
EDGuideline26Increased work of breathingReactive airway diseaseNo antibiotic
EDNonguideline16Recurrent feverAcute otitis mediaAmoxicillin
EDNonguideline20Recurrent cough and feverViral illnessNo antibiotic
AdmissionGuideline3Increased work of breathingPneumoniaIV ampicillin
AdmissionNonguideline9Refusal to take oral clindamycinPneumoniaIV clindamycin

Two patients were readmitted for a pneumonia‐related illness within 30 days of discharge; 1 had received guideline‐recommended therapy (Table 5). Both patients were directly admitted to the inpatient ward without an associated ED visit. Antibiotic class was not changed for either patient upon readmission, despite the decision to convert to intravenous form.

DISCUSSION

In this retrospective cohort study, patients who received empiric guideline‐recommended antibiotic therapy on admission for CAP had no difference in LOS, total cost of hospitalization, or inpatient pharmacy costs compared with those who received therapy that varied from guideline recommendations. Our study suggests that prescribing narrow‐spectrum therapy and, in some circumstances, combination therapy, as recommended by the 2011 PIDS/IDSA pneumonia guideline, did not result in negative unintended consequences.

In our study, children receiving guideline‐recommended therapy were younger, more likely to have elevated respiratory rate on presentation, and more likely to have an infiltrate on chest radiograph. We hypothesize the age difference is a reflection of common use of nonguideline macrolide monotherapy in the older, school‐age child, as macrolides are commonly used for coverage of Mycoplasma pneumonia in older children with CAP.[15] Children receiving macrolide monotherapy were older than those receiving guideline‐recommended therapy (median age of 7.4 years and 2.5 years, respectively). We also hypothesize that some providers may prescribe macrolide monotherapy to children deemed less ill than expected for CAP (eg, normal percutaneous oxygen saturation). This hypothesis is supported by the finding that 60% of patients who had a normal respiratory rate and received nonguideline therapy were prescribed macrolide monotherapy. We did control for the characteristics that varied between the two treatment groups in our models to eliminate potential confounding.

One prior study evaluated the effects of guideline implementation in CAP. In evaluation of a clinical practice guideline that recommended ampicillin as first‐line therapy for CAP, no significant difference was found following guideline introduction in the number of treatment failures (defined as the need to broaden therapy or development of complicated pneumonia within 48 hours or 30‐day inpatient readmission).[16] Our study builds on these findings by directly comparing outcomes between recipients of guideline and nonguideline therapy, which was not done in the prestudy or poststudy design of prior work.[16] We believe that classifying patients based on empiric therapy received rather than timing of guideline introduction thoroughly examines the effect of following guideline recommendations. Additionally, outcomes other than treatment failures were examined in our study including LOS, costs, and ED revisits.

Our results are similar to other observational studies that compared narrow‐ and broad‐spectrum antibiotics for children hospitalized with CAP. Using administrative data, Williams et al. found no significant difference in LOS or cost between narrow‐ and broad‐spectrum intravenous antibiotic recipients ages 6 months to 18 years at 43 children's hospitals.[17] Queen et al. compared narrow‐ and broad‐spectrum antibiotic therapy for children ages 2 months to 18 years at 4 children's hospitals.[18] Differences in average daily cost were not significant, but children who received narrow‐spectrum antibiotics had a significantly shorter LOS. Finally, an observational study of 319 Israeli children <2 years of age found no significant difference in duration of oxygen requirement, LOS, or need for change in antibiotic therapy between the 66 children prescribed aminopenicillins and the 253 children prescribed cefuroxime.[19] These studies suggest that prescribing narrow‐spectrum antimicrobial therapy, as per the guideline recommendations, results in similar outcomes to broad‐spectrum antimicrobial therapy.

Our study adds to prior studies that compared narrow‐ and broad‐spectrum therapy by comparing outcomes associated with guideline‐recommended therapy to nonguideline therapy. We considered antibiotic therapy as guideline recommended if appropriately chosen per the guideline, not just by simple classification of antibiotic. For example, the use of a cephalosporin in a patient with aminopenicillin allergy was considered guideline‐recommended therapy. We chose to classify the exposure of empiric antibiotic therapy in this manner to reflect true clinical application of the guideline, as not all children are able to receive aminopenicillins. Additionally, as our study stemmed from our prior improvement work aimed at increasing guideline adherent therapy,[7] we have a higher frequency of narrow‐spectrum antibiotic use than prior studies. In our study, almost two‐thirds of patients received narrow‐spectrum therapy, whereas narrow‐spectrum use in prior studies ranged from 10% to 33%.[17, 18, 19] Finally, we were able to confirm the diagnosis of pneumonia via medical record review and to adjust for severity of illness using clinical variables including vital signs, physical exam findings, and laboratory and radiologic study results.

This study must be interpreted in the context of several limitations. First, our study population was defined through discharge diagnosis codes, and therefore dependent on the accuracy of coding. However, we minimized potential for misclassification through use of a previously validated approach to identify patients with CAP and through medical record review to confirm the diagnosis. Second, we may be unable to detect very small differences in outcomes given limited power, specifically for outcomes of LOS, ED revisits, hospital readmissions, and need to broaden antibiotic therapy. Third, residual confounding may be present. Although we controlled for many clinical variables in our analyses, antibiotic prescribing practices may be influenced by unmeasured factors. The potential of system level confounding is mitigated by standardized care for patients with CAP at our institution. Prior system‐level changes using quality‐improvement science have resulted in a high level of adherence with guideline‐recommended antimicrobials as well as standardized medical discharge criteria.[7, 20] Additionally, nonmedical factors may influence LOS, limiting its use as an outcome measure. This limitation was minimized in our study by standardizing medical discharge criteria. Prior work at our institution demonstrated that the majority of patients, including those with CAP, were discharged within 2 hours of meeting medical discharge criteria.[20] Fourth, discharged patients who experienced adverse outcomes may have received care at a nearby adult emergency department or at their pediatrician's office. Although these events would not have been captured in our electronic health record, serious complications due to treatment failure (eg, empyema) would require hospitalization. As our hospital is the only children's hospital in the Greater Cincinnati metropolitan area, these patents would receive care at our institution. Therefore, any misclassification of revisits or readmissions is likely to be minimal. Finally, study patients were admitted to a large tertiary academic children's hospital, warranting further investigation to determine if these findings can be translated to smaller community settings.

In conclusion, receipt of guideline‐recommended antibiotic therapy for patients hospitalized with CAP was not associated with increases in LOS, total costs of hospitalization, or inpatient pharmacy costs. Our findings highlight the importance of changing antibiotic prescribing practices to reflect guideline recommendations, as there was no evidence of negative unintended consequences with our local practice change.

Acknowledgments

Disclosures: Dr. Ambroggio and Dr. Thomson were supported by funds from the NRSA T32HP10027‐14. Dr. Shah was supported by funds from NIAID K01A173729. The authors report no conflicts of interest.

References
  1. Kronman MP, Hersh AL, Feng R, Huang YS, Lee GE, Shah SS. Ambulatory visit rates and antibiotic prescribing for children with pneumonia, 1994–2007. Pediatrics. 2011;127(3):411418.
  2. Lee GE, Lorch SA, Sheffler‐Collins S, Kronman MP, Shah SS. National hospitalization trends for pediatric pneumonia and associated complications. Pediatrics. 2010;126(2):204213.
  3. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):11551164.
  4. Bradley JS, Byington CL, Shah SS, et al. The management of community‐acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53(7):e25e76.
  5. Brogan TV, Hall M, Williams DJ, et al. Variability in processes of care and outcomes among children hospitalized with community‐acquired pneumonia. Pediatr Infect Dis J. 2012;31(10):10361041.
  6. Ross RK, Hersh AL, Kronman MP, et al. Impact of IDSA/PIDS guidelines on treatment of community‐acquired pneumonia in hospitalized children. Clin Infect Dis. 2014;58(6):834838.
  7. Ambroggio L, Thomson J, Murtagh Kurowski E, et al. Quality improvement methods increase appropriate antibiotic prescribing for childhood pneumonia. Pediatrics. 2013;131(5):e1623e1631.
  8. Williams DJ, Shah SS, Myers A, et al. Identifying pediatric community‐acquired pneumonia hospitalizations: accuracy of administrative billing codes. JAMA Pediatr. 2013;167(9):851858.
  9. Feudtner C, Hays RM, Haynes G, Geyer JR, Neff JM, Koepsell TD. Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107(6):E99.
  10. Centers for Medicare 2011.
  11. Kleinman ME, Chameides L, Schexnayder SM, et al. Pediatric advanced life support: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Pediatrics. 2010;126(5):e1361e1399.
  12. Tucker KM, Brewer TL, Baker RB, Demeritt B, Vossmeyer MT. Prospective evaluation of a pediatric inpatient early warning scoring system. J Spec Pediatr Nurs. 2009;14(2):7985.
  13. Vittinghoff E, Glidden DV, Shiboski SC, McCulloch CE. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. New York, NY: Springer; 2005.
  14. Biondi E, McCulloh R, Alverson B, Klein A, Dixon A. Treatment of mycoplasma pneumonia: a systematic review. Pediatrics. 2014;133(6):10811090.
  15. Newman RE, Hedican EB, Herigon JC, Williams DD, Williams AR, Newland JG. Impact of a guideline on management of children hospitalized with community‐acquired pneumonia. Pediatrics. 2012;129(3):e597e604.
  16. Williams DJ, Hall M, Shah SS, et al. Narrow vs broad‐spectrum antimicrobial therapy for children hospitalized with pneumonia. Pediatrics. 2013;132(5):e1141e1148.
  17. Queen MA, Myers AL, Hall M, et al. Comparative effectiveness of empiric antibiotics for community‐acquired pneumonia. Pediatrics. 2014;133(1):e23e29.
  18. Dinur‐Schejter Y, Cohen‐Cymberknoh M, Tenenbaum A, et al. Antibiotic treatment of children with community‐acquired pneumonia: comparison of penicillin or ampicillin versus cefuroxime. Pediatr Pulmonol. 2013;48(1):5258.
  19. White CM, Statile AM, White DL, et al. Using quality improvement to optimise paediatric discharge efficiency. BMJ Qual Saf. 2014;23(5):428436.
References
  1. Kronman MP, Hersh AL, Feng R, Huang YS, Lee GE, Shah SS. Ambulatory visit rates and antibiotic prescribing for children with pneumonia, 1994–2007. Pediatrics. 2011;127(3):411418.
  2. Lee GE, Lorch SA, Sheffler‐Collins S, Kronman MP, Shah SS. National hospitalization trends for pediatric pneumonia and associated complications. Pediatrics. 2010;126(2):204213.
  3. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):11551164.
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Issue
Journal of Hospital Medicine - 10(1)
Issue
Journal of Hospital Medicine - 10(1)
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13-18
Page Number
13-18
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Hospital outcomes associated with guideline‐recommended antibiotic therapy for pediatric pneumonia
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Hospital outcomes associated with guideline‐recommended antibiotic therapy for pediatric pneumonia
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© 2014 Society of Hospital Medicine

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Address for correspondence and reprint requests: Joanna Thomson, MD, Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, ML 9016, Cincinnati, OH, 45220; Telephone: 513‐803‐8092; Fax: 13‐803‐9244; E‐mail: joanna.thomson@cchmc.org
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