Affiliations
Division of General Pediatrics, Mattel Children's Hospital, David Geffen School of Medicine at University of California, Los Angeles (UCLA), Los Angeles, California
Given name(s)
Paul J.
Family name
Chung
Degrees
MD, MS

Journal of Hospital Medicine – Jan. 2018

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Changed
Fri, 09/14/2018 - 11:55
Transitioning from general pediatric to adult-oriented inpatient care: National survey of U.S. children’s hospitals

 

BACKGROUND: Hospital charges and lengths of stay may be greater when adults with chronic conditions are admitted to children’s hospitals. Despite multiple efforts to improve pediatric-adult health care transitions, little guidance exists for transitioning inpatient care.

OBJECTIVE: This study sought to characterize pediatric-adult inpatient care transitions across general pediatric services at U.S. children’s hospitals.

DESIGN and SETTING: National survey of inpatient general pediatric service leaders at U.S. children’s hospitals from January 2016 to July 2016.

MEASUREMENT: Questionnaires assessed institutional characteristics, presence of inpatient transition initiatives (having a specific process and/or leader), and 22 inpatient transition activities. Scales of highly correlated activities were created using exploratory factor analysis. Logistic regression identified associations among institutional characteristics, transition activities, and presence of an inpatient transition initiative.

RESULTS: Of 195 children’s hospitals, 96 responded (49.2% response rate). Transition initiatives were present at 38% of children’s hospitals, more often where there were providers who were trained in both internal medicine and pediatrics or where there were outpatient transition processes. Specific activities were infrequent and varied widely from 2.1% (systems to track youth in transition) to 40.5% (addressing potential insurance problems). Institutions with initiatives more often consistently performed the majority of activities, including using checklists and creating patient-centered transition care plans. Of remaining activities, half involved transition planning, the essential step between readiness and transfer.

CONCLUSION: Relatively few inpatient general pediatric services at U.S. children’s hospitals have leaders or dedicated processes to shepherd transitions to adult-oriented inpatient care. Across institutions, there is wide variability in performance of activities to facilitate this transition. Feasible process and outcome measures are needed.

Also in JHM this month

Characterizing hospitalist practice and perceptions of critical care delivery

AUTHORS: Joseph R. Sweigart, MD, FACP, FHM; David Aymond, MD; Alfred Burger, MD, FACP, SFHM; Andy Kelly, MAS, MS; Nick Marzano, Med; Thomas McIlraith, MD, SFHM; Peter Morris, MD; Mark V. Williams, MD, FACP, MHM; and Eric M. Siegal, MD, SFHM, FCCM

Clinical decision making: Observing the smartphone user an observational study in predicting acute surgical patients’ suitability for discharge

AUTHORS: Richard Hoffmann, MBBS; Simon Harley, MBBS; Samuel Ellison, MBBS; and Peter G. Devitt, MBBS, FRACS

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Transitioning from general pediatric to adult-oriented inpatient care: National survey of U.S. children’s hospitals
Transitioning from general pediatric to adult-oriented inpatient care: National survey of U.S. children’s hospitals

 

BACKGROUND: Hospital charges and lengths of stay may be greater when adults with chronic conditions are admitted to children’s hospitals. Despite multiple efforts to improve pediatric-adult health care transitions, little guidance exists for transitioning inpatient care.

OBJECTIVE: This study sought to characterize pediatric-adult inpatient care transitions across general pediatric services at U.S. children’s hospitals.

DESIGN and SETTING: National survey of inpatient general pediatric service leaders at U.S. children’s hospitals from January 2016 to July 2016.

MEASUREMENT: Questionnaires assessed institutional characteristics, presence of inpatient transition initiatives (having a specific process and/or leader), and 22 inpatient transition activities. Scales of highly correlated activities were created using exploratory factor analysis. Logistic regression identified associations among institutional characteristics, transition activities, and presence of an inpatient transition initiative.

RESULTS: Of 195 children’s hospitals, 96 responded (49.2% response rate). Transition initiatives were present at 38% of children’s hospitals, more often where there were providers who were trained in both internal medicine and pediatrics or where there were outpatient transition processes. Specific activities were infrequent and varied widely from 2.1% (systems to track youth in transition) to 40.5% (addressing potential insurance problems). Institutions with initiatives more often consistently performed the majority of activities, including using checklists and creating patient-centered transition care plans. Of remaining activities, half involved transition planning, the essential step between readiness and transfer.

CONCLUSION: Relatively few inpatient general pediatric services at U.S. children’s hospitals have leaders or dedicated processes to shepherd transitions to adult-oriented inpatient care. Across institutions, there is wide variability in performance of activities to facilitate this transition. Feasible process and outcome measures are needed.

Also in JHM this month

Characterizing hospitalist practice and perceptions of critical care delivery

AUTHORS: Joseph R. Sweigart, MD, FACP, FHM; David Aymond, MD; Alfred Burger, MD, FACP, SFHM; Andy Kelly, MAS, MS; Nick Marzano, Med; Thomas McIlraith, MD, SFHM; Peter Morris, MD; Mark V. Williams, MD, FACP, MHM; and Eric M. Siegal, MD, SFHM, FCCM

Clinical decision making: Observing the smartphone user an observational study in predicting acute surgical patients’ suitability for discharge

AUTHORS: Richard Hoffmann, MBBS; Simon Harley, MBBS; Samuel Ellison, MBBS; and Peter G. Devitt, MBBS, FRACS

 

BACKGROUND: Hospital charges and lengths of stay may be greater when adults with chronic conditions are admitted to children’s hospitals. Despite multiple efforts to improve pediatric-adult health care transitions, little guidance exists for transitioning inpatient care.

OBJECTIVE: This study sought to characterize pediatric-adult inpatient care transitions across general pediatric services at U.S. children’s hospitals.

DESIGN and SETTING: National survey of inpatient general pediatric service leaders at U.S. children’s hospitals from January 2016 to July 2016.

MEASUREMENT: Questionnaires assessed institutional characteristics, presence of inpatient transition initiatives (having a specific process and/or leader), and 22 inpatient transition activities. Scales of highly correlated activities were created using exploratory factor analysis. Logistic regression identified associations among institutional characteristics, transition activities, and presence of an inpatient transition initiative.

RESULTS: Of 195 children’s hospitals, 96 responded (49.2% response rate). Transition initiatives were present at 38% of children’s hospitals, more often where there were providers who were trained in both internal medicine and pediatrics or where there were outpatient transition processes. Specific activities were infrequent and varied widely from 2.1% (systems to track youth in transition) to 40.5% (addressing potential insurance problems). Institutions with initiatives more often consistently performed the majority of activities, including using checklists and creating patient-centered transition care plans. Of remaining activities, half involved transition planning, the essential step between readiness and transfer.

CONCLUSION: Relatively few inpatient general pediatric services at U.S. children’s hospitals have leaders or dedicated processes to shepherd transitions to adult-oriented inpatient care. Across institutions, there is wide variability in performance of activities to facilitate this transition. Feasible process and outcome measures are needed.

Also in JHM this month

Characterizing hospitalist practice and perceptions of critical care delivery

AUTHORS: Joseph R. Sweigart, MD, FACP, FHM; David Aymond, MD; Alfred Burger, MD, FACP, SFHM; Andy Kelly, MAS, MS; Nick Marzano, Med; Thomas McIlraith, MD, SFHM; Peter Morris, MD; Mark V. Williams, MD, FACP, MHM; and Eric M. Siegal, MD, SFHM, FCCM

Clinical decision making: Observing the smartphone user an observational study in predicting acute surgical patients’ suitability for discharge

AUTHORS: Richard Hoffmann, MBBS; Simon Harley, MBBS; Samuel Ellison, MBBS; and Peter G. Devitt, MBBS, FRACS

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Transitioning from General Pediatric to Adult-Oriented Inpatient Care: National Survey of US Children’s Hospitals

Article Type
Changed
Tue, 01/22/2019 - 11:50

Over 90% of children with chronic diseases now survive into adulthood.1,2 Clinical advances overcoming diseases previously fatal in childhood create new challenges for health systems with limited capacity to manage young adults with complicated and unfamiliar childhood-onset conditions. Consequently, improving the transition from pediatric to adult-oriented care has become a national priority.

Although major pediatric-adult transition initiatives—such as the Six Core Elements Framework,3 a technical brief from the Agency for Healthcare Research and Quality,4 and joint statements from major medical societies5,6—outline key transition recommendations generally and for outpatients, they contain limited or no guidance specifically devoted to transitioning inpatient hospital care from pediatric to adult-oriented settings. Key unknowns include whether, when, and how to transition inpatient care from children’s to nonchildren’s hospitals and how this can be integrated into comprehensive youth-adult transition care.

Nevertheless, the number of discharges of 18- to 21-year-old patients with chronic conditions admitted to children’s hospitals is increasing at a faster rate than discharges of other age groups,7 suggesting both that the population is growing in size and that there are important barriers to transitioning these patients into nonchildren’s hospital settings. Spending on adult patients 18 years or older admitted to children’s hospitals has grown to $1 billion annually.8 Hospitalizations are a commonly proposed outcome measure of pediatric-adult transition work.1,9,10 For example, higher rates of avoidable hospitalizations during early adulthood have been observed for 15- to 22-year-olds with kidney failure cared for exclusively in adult-oriented facilities and during the years immediately after transfer to adult care.11

While research is beginning to describe outcomes of adult-aged patients with childhood-onset chronic conditions admitted to children’s hospitals,7,12,13 there has been no comprehensive description of efforts within children’s hospitals to transition such patients into adult-oriented inpatient settings. This information is necessary to outline institutional needs, delineate opportunities for improvement, and help clinicians strategically organize services for patients requiring this transition.

We sought to characterize the current state of the transition from pediatric- to adult-oriented inpatient care across general pediatric inpatient services at US children’s hospitals. We hypothesized that only a limited and inconsistent set of activities would be practiced. We also hypothesized that institutions having formal outpatient transition processes or providers with specialization to care for this age group, such as dual-trained internal medicine–pediatrics (med–peds) physicians, would report performing more activities.

METHODS

Study Design, Setting, Participants

We conducted a national survey of leaders of inpatient general pediatrics services at US children’s hospitals from January 2016 to July 2016. Hospitals were identified using the online Children’s Hospital Association directory. Hospitals without inpatient general pediatrics services (eg, rehabilitation or subspecialty-only facilities) were excluded.

We identified a single respondent from each of the 195 remaining children’s hospitals using a structured protocol. Phone numbers and e-mail addresses of potential respondents were gathered from hospital or medical school directories. Following a standard script, study team members contacted potential respondents to describe the purpose of the study and to confirm their contact information. Hospitals were also allowed to designate a different individual with more specific expertise to participate, when relevant (eg, specific faculty member leading a related quality improvement initiative). The goal was to identify a leader of inpatient care with the most knowledge of institutional practices related to the transition to adult inpatient care. Examples of respondent roles included director of inpatient pediatrics, chief of hospital medicine or general pediatrics, medical director, and similar titles.

Survey Elements

As part of a larger quality improvement initiative at our institution, a multidisciplinary team of pediatric and internal medicine healthcare providers (physicians, nurse practitioners, nurses, case managers, social workers, child life specialists), as well as parents and patients, developed an “ideal state” with this transition and a consensus-based conceptual framework of key patient and institutional determinants of a formal inpatient transition initiative for children with chronic conditions within a children’s hospital (Figure).

Based on this model, we developed a novel survey instrument to assess the current state of inpatient transition from general services across US children’s hospitals. The instrument was refined and finalized after pilot testing with 5 pediatricians not involved in the study, at 3 institutions. Refinements centered on questionnaire formatting, ie, clarifying instructions, definitions, and question stems to minimize ambiguity and improve efficiency when completing the survey.

 

 

Institutional Context and Factors Influencing Inpatient Transitions

The following hospital characteristics were assessed: administrative structure (free-standing, hospital-within-hospital, or “free-leaning,” ie, separate physical structure but same administrative structure as a general hospital), urban versus rural, academic versus nonacademic, presence of an inpatient adolescent unit, presence of subspecialty admitting services, and providers with med–peds or family medicine training. The following provider group characteristics were assessed: number of full-time equivalents (FTEs), scope of practice (inpatient only, combination inpatient/outpatient), proportion of providers at a “senior” level (ie, at least 7 years posttraining or at an associate professor rank), estimated number of discharges per week, and proportion of patients cared for without resident physicians.

Inpatient Transition Initiative

Each institution was categorized as having or not having an inpatient transition initiative by whether they indicated having either (1) an institutional leader of the transition from pediatric to adult-oriented inpatient settings or (2) an inpatient transition process, for which “process” was defined as “a standard, organized, and predictable set of transition activities that may or may not be documented, but the steps are generally agreed upon.”

Specific Inpatient Transition Activities

Respondents indicated whether 22 activities occurred consistently, defined as at least 50% of the time. To facilitate description, activities were grouped into categories using the labels from the Six Core Elements framework3 (Table 1): Policy, Tracking and Monitoring, Readiness, Planning, Transfer of Care, and Transfer Completion. Respondents were also asked whether outpatient pediatric-adult transition activities existed at their institution and whether they were linked to inpatient transition activities.

Data Collection

After verifying contact information, respondents received an advanced priming phone call followed by a mailed request to participate with a printed uniform resource locator (URL) to the web survey. Two email reminders containing the URL were sent to nonresponders at 5 and 10 days after the initial mailing. Remaining nonresponders then received a reminder phone call, followed by a mailed paper copy of the survey questionnaire to be completed by hand approximately 2 weeks after the last emailed request. The survey was administered using the Qualtrics web survey platform (www.qualtrics.com). Data collection occurred between January 2016 and July 2016. Participants received a $20 incentive.

Statistical Analysis

Descriptive statistics summarized the current state of inpatient transition at general pediatrics services across US children’s hospitals. Exploratory factor analysis assessed whether individual activities were sufficiently correlated to allow grouping items and constructing scales. Differences in institutional or respondent characteristics between hospitals that did and did not report having an inpatient initiative were compared using t tests for continuous data. Fisher’s exact test was used for categorical data because some cell sizes were ≤5. Bivariate logistic regression quantified associations between presence versus absence of specific transition activities and presence versus absence of an inpatient transition initiative. Analyses were completed in STATA (SE version 14.0; StataCorp, College Station, Texas). The institutional review board at our institution approved this study.

RESULTS

Responses were received from 96 of 195 children’s hospitals (49.2% response rate). Responding institution characteristics are summarized in Table 2. Free-standing children’s hospitals made up just over one-third of the sample (36%), while the remaining were free-leaning (22%) or hospital-within-hospital (43%). Most children’s hospitals (58%) did not have a specific adult-oriented hospital identified to receive transitioning patients. Slightly more than 10% had an inpatient adolescent unit. The majority of institutions were academic medical centers (78%) in urban locations (88%). Respondents represented small (<5 FTE, 21%), medium (6-10 FTE, 36%), and large provider groups (11+ FTE, 44%). Although 70% of respondents described their groups as “hospitalist only,” meaning providers only practiced inpatient general pediatrics, nearly 30% had providers practicing inpatient and outpatient general pediatrics. Just over 40% of respondents reported having med–peds providers. Pediatric-adult transition processes for outpatient care were present at 45% of institutions.

Transition Activities

Thirty-eight percent of children’s hospitals had an inpatient transition initiative using our study definition—31% by having a set of generally agreed upon activities, 19% by having a leader, and 11% having both. Inpatient transition leaders included pediatric hospitalists (43%), pediatric subspecialists and primary care providers (14% each), med–peds providers (11%), or case managers (7%). Respondent and institutional characteristics were similar at institutions that did and did not have an inpatient transition initiative (Table 2); however, children’s hospitals with inpatient transition initiatives more often had med–peds providers (P = .04). Institutions with pediatric-adult outpatient care transition processes more often had an inpatient initiative (71% and 29%, respectively; P = .001).

Exploratory factor analysis identified 2 groups of well-correlated items, which we grouped into “preparation” and “transfer initiation” scales (supplementary Appendix). The preparation scale was composed of the following 5 items (Cronbach α = 0.84): proactive identification of patients anticipated to need transition, proactive identification of patients overdue for transition, readiness formally assessed, timing discussed with family, and patient and/or family informed that the next stay would be at the adult facility. The transfer initiation scale comprised the following 6 items (Cronbach α = 0.72): transition education provided to families, primary care–subspecialist agreement on timing, subspecialist–subspecialist agreement on timing, patient decision-making ability established, adult facility tour, and standardized handoff communication between healthcare providers. While these items were analyzed only in this scale, other activities were analyzed as independent variables. In this analysis, 40.9% of institutions had a preparation scale score of 0 (no items performed), while 13% had all 5 items performed. Transfer initiation scale scores ranged from 0 (47%) to 6 (2%).

Specific activities varied widely across institutions, and none of the activities occurred at a majority of children’s hospitals (Table 3). Only 11% of children’s hospital transition policies referenced transitions of inpatient care. The activity most commonly reported across children’s hospitals was addressing potential insurance problems (41%). The least common inpatient transition activities were having child life consult during the first adult hospital stay (6%) or having a system to track and monitor youth in the inpatient transition process (2%). Transition processes and policies were relatively new among institutions that had them—average years an inpatient transition process had been in place was 1.2 (SD 0.4), and average years with a transition policy, including inpatient care, was 1.3 (SD 0.4).

 

 

Transition Activities at Hospitals With and Without an Inpatient Transition Initiative

Most activities assessed in this study (both scales plus 5 of 11 individual activities) were significantly more common in children’s hospitals with an inpatient transition initiative (Table 3). The most common activity was addressing potential insurance problems (46%), and the least common activity was having a system to track and monitor youth in the inpatient transition process (3%). The majority of institutions without an inpatient transition initiative (53%) performed 0 transfer initiation scale items. Large effect sizes between hospitals with and without a transition initiative were observed for use of a checklist to complete tasks (odds ratio [OR] 9.6, P = .04) and creation of a transition care plan (OR 9.0, P = .008). Of the 6 activities performed at similarly low frequencies at institutions with and without an initiative, half involved transition planning, the essential step after readiness but before actual transfer of care.

DISCUSSION

We conducted the first national survey describing the policies and procedures of the transition of general inpatient care from children’s to adult-oriented hospitals for youth and young adults with chronic conditions. Our main findings demonstrate that a relatively small number of general inpatient services at children’s hospitals have leaders or dedicated processes to shepherd this transition, and a minority have a specific adult hospital identified to receive their patients. Even among institutions with inpatient transition initiatives, there is wide variability in the performance of activities to facilitate transitioning out of US children’s hospitals. In these institutions, performance seems to be more lacking in later links of the transition chain. Results from this work can serve as a baseline and identify organizational needs and opportunities for future work.

Children’s hospital general services with and without an inpatient pediatric-adult transition initiative had largely similar characteristics; however, the limited sample size may lack power to detect some differences. Perhaps not surprisingly, having med–peds providers and outpatient transition processes were the characteristics most associated with having an inpatient pediatric-adult transition initiative. The observation that over 70% of hospitals with an outpatient process had an inpatient transition leader or dedicated process makes us optimistic that as general transition efforts expand, more robust inpatient transition activities may be achievable.

We appreciate that the most appropriate location to care for hospitalized young adults with childhood-onset chronic conditions is neither known nor answered with this study. Both options face challenges—adult-oriented hospitals may not be equipped to care for adult manifestations of childhood-onset conditions,14,15 while children’s hospitals may lack the resources and expertise to provide comprehensive care to adults.7 Although hospital charges and lengths of stay may be greater when adults with childhood-onset chronic conditions are admitted to children’s compared with adult hospitals,12,13,16 important confounders such as severity of illness could explain why adult-aged patients may both remain in children’s hospitals at older ages and simultaneously have worse outcomes than peers. Regardless, at some point, transitioning care into an adult-oriented hospital may be in patients’ best interests. If so, families and providers need guidance on (1) the important aspects of this transition and (2) how to effectively implement the transition.

Because the most important inpatient transition care activities are not empirically known, we designed our survey to assess a broad set of desirable activities emerging from our multidisciplinary quality improvement work. We mapped these activities to the categories used by the Six Core Elements framework.3 Addressing insurance issues was one of the most commonly reported activities, although still fewer than 50% of hospitals reported addressing these problems. It was notable that the majority of institutions without a transition initiative performed none of the transfer initiation scale items. In addition, 2 features of transition efforts highlighted by advocates nationally—use of a checklist and creation of a transition care plan— were 9 times more likely when sites had transition initiatives. Such findings may be motivating for institutions that are considering establishing a transition initiative. Overall, we were not surprised with hospitals’ relatively low performance across most transition activities because only about 40% of US families of children with special healthcare needs report receiving the general services they need to transition to adult healthcare.17

We suspect that a number of the studied inpatient transition activities may be uncommon for structural reasons. For example, having child life consultation during an initial adult stay was rare. In fact, we observed post hoc that it occurred only in hospital-within-hospital systems, an expected finding because adult-only facilities are unlikely to have child life personnel. Other barriers, however, are less obviously structural. Almost no respondents indicated providing a tour of an adult facility, which was true whether the children’s hospital was free-standing or hospital-within-hospital. Given that hospitals with med–peds providers more often had inpatient transition initiatives, it would be interesting to examine whether institutions with med–peds training programs are able to overcome more of these barriers because of the bridges inherently created between departments even when at physically separated sites.

Having a system to track and/or monitor youth going through the transition process was also uncommon. This presumably valuable activity is one of the Six Core Elements3 and is reminiscent of population management strategies increasingly common in primary care.18 Pediatric hospitalists might benefit from adopting a similar philosophy for certain patient populations. Determining whether this activity would be most appropriately managed by inpatient providers versus being integrated into a comprehensive tracking and/or monitoring strategy (ie, inpatient care plus primary care, subspecialty care, school, employment, insurance, etc.) is worth continued consideration.

Although the activities we studied spanned many important dimensions, the most important transition activities in any given context may differ based on institutional resources and those of nearby adult healthcare providers.16 For example, an activity may be absent at a children’s hospital because it is already readily handled in primary care within that health system. Understanding how local resources and patient needs influence the relationship between transition activities and outcomes is an important next step in this line of work. Such research could inform how institutions adapt effective transition activities (eg, developing care plans) to most efficiently meet the needs of their patients and families.

Our findings align with and advance the limited work published on this aspect of transition. A systematic literature review of general healthcare transition interventions found that meeting adult providers prior to transitioning out of the pediatric system was associated with less concern about admission to the adult hospital floor.9 Formally recognizing inpatient care as a part of a comprehensive approach to transition may help adults with childhood-onset chronic conditions progress into adult-oriented hospitals. Inpatient and outpatient providers can educate one another on critical aspects of transition that span across settings. The Cystic Fibrosis (CF) Foundation has established a set of processes to facilitate the transition to adult care and specifically articulates the transfer to adult inpatient settings.19,20 Perhaps as a result, CF is also one of few conditions with fewer adult patients being admitted to children’s hospitals7 despite the increasing number of adults living with the condition.19 Adapting the CF Foundation approach to other chronic conditions may be an effective approach.

Our study has important limitations. Most pertinently, the list of transition activities was developed at a single institution. Although drawing on accepted national guidelines and a diverse local quality improvement group, our listed activities could not be exhaustive. Care plan development and posttransition follow-up activities may benefit from ongoing development in subsequent work. Continuing to identify and integrate approaches taken at other children’s hospitals will also be informative. For example, some children’s hospitals have introduced adult medicine consultative services to focus on transition, attending children’s hospital safety rounds, and sharing standard care protocols for adult patients still cared for in pediatric settings (eg, stroke and myocardial infarction).16

In addition, our findings are limited to generalist teams at children’s hospitals and may not be applicable to inpatient subspecialty services. We could not compare differences in respondents versus nonrespondents to determine whether important selection bias exists. Respondent answers could not be verified. Despite our attempt to identify the most informed respondent at each hospital, responses may have differed with other hospital respondents. We used a novel instrument with unknown psychometric properties. Our data provide only the children’s hospital perspective, and perspectives of others (eg, families, primary care pediatricians or internists, subspecialists, etc.) will be valuable to explore in subsequent research. Subsequent research should investigate the relative importance and feasibility of specific inpatient transition activities, ideal timing, as well as the expected outcomes of high-quality inpatient transition. An important question for future work is to identify which patients are most likely to benefit by having inpatient care as part of their transition plan.

 

 

CONCLUSIONS

Nevertheless, the clinical and health services implications of this facet of transition appear to be substantial.16 To meet the Maternal and Child Health Bureau (MCHB) core outcome for children with special healthcare needs to receive “the services necessary to make transitions to adult healthcare,”21 development, validation, and implementation of effective inpatient-specific transition activities and a set of measurable processes and outcomes are needed. A key direction for the healthcare transitions field, with respect to inpatient care, is to determine the activities most effective at improving relevant patient and family outcomes. Ultimately, we advocate that the transition of inpatient care be integrated into comprehensive approaches to transitional care.

Disclosure: The project described was supported in part by the Clinical and Translational Science Award (CTSA) program, through the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS), grant UL1TR000427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The project was also supported by the University of Wisconsin Departments of Pediatrics and Medicine. The authors have no financial or other relationships relevant to this article to disclose.

 

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References

1. Vaks Y, Bensen R, Steidtmann D, et al. Better health, less spending: Redesigning the transition from pediatric to adult healthcare for youth with chronic illness. Healthc (Amst). 2016;4(1):57-68.
2. Bensen R, Steidtmann D, Vaks Y. A Triple Aim Approach to Transition from Pediatric to Adult Health Care for Youth with Special Health Care Needs. Palo Alto, CA: Lucile Packard Foundation for Children’s Health; 2014.
3. Got Transition. Center for Health Care Transition Improvement 2016; http://www.gottransition.org/. Accessed April 4, 2016.
4. McPheeters M, Davis AM, Taylor JL, Brown RF, Potter SA, Epstein RA. Transition Care for Children with Special Health Needs. Technical Brief No. 15. Rockville, MD: Agency for Healthcare Research and Quality; 2014.
5. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians, Transitions Clinical Report Authoring Group, Cooley WC, Sagerman PJ. Supporting the health care transition from adolescence to adulthood in the medical home. Pediatrics. 2011;128(1):182-200.
6. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians-American Society of Internal Medicine. A consensus statement on health care transitions for young adults with special health care needs. Pediatrics. 2002;110(6 Pt 2):1304-1306.
7. Goodman DM, Hall M, Levin A, et al. Adults with chronic health conditions originating in childhood: inpatient experience in children’s hospitals. Pediatrics. 2011;128(1):5-13.
8. Goodman DM, Mendez E, Throop C, Ogata ES. Adult survivors of pediatric illness: the impact on pediatric hospitals. Pediatrics. 2002;110(3):583-589.
9. Bloom SR, Kuhlthau K, Van Cleave J, Knapp AA, Newacheck P, Perrin JM. Health care transition for youth with special health care needs. J Adolesc Health. 2012;51(3):213-219.
10. Fair C, Cuttance J, Sharma N, et al. International and Interdisciplinary Identification of Health Care Transition Outcomes. JAMA Pediatr. 2016;170(3):205-211.
11. Samuel SM, Nettel-Aguirre A, Soo A, Hemmelgarn B, Tonelli M, Foster B. Avoidable hospitalizations in youth with kidney failure after transfer to or with only adult care. Pediatrics. 2014;133(4):e993-e1000.
12. Okumura MJ, Campbell AD, Nasr SZ, Davis MM. Inpatient health care use among adult survivors of chronic childhood illnesses in the United States. Arch Pediatr Adolesc Med. 2006;160(10):1054-1060.
13. Edwards JD, Houtrow AJ, Vasilevskis EE, Dudley RA, Okumura MJ. Multi-institutional profile of adults admitted to pediatric intensive care units. JAMA Pediatr. 2013;167(5):436-443.
14. Peter NG, Forke CM, Ginsburg KR, Schwarz DF. Transition from pediatric to adult care: internists’ perspectives. Pediatrics. 2009;123(2):417-423.
15. Okumura MJ, Heisler M, Davis MM, Cabana MD, Demonner S, Kerr EA. Comfort of general internists and general pediatricians in providing care for young adults with chronic illnesses of childhood. J Gen Intern Med. 2008;23(10):1621-1627.
16. Kinnear B, O’Toole JK. Care of Adults in Children’s Hospitals: Acknowledging the Aging Elephant in the Room. JAMA Pediatr. 2015;169(12):1081-1082.
17. McManus MA, Pollack LR, Cooley WC, et al. Current status of transition preparation among youth with special needs in the United States. Pediatrics. 2013;131(6):1090-1097.
18. Kelleher KJ, Cooper J, Deans K, et al. Cost saving and quality of care in a pediatric accountable care organization. Pediatrics. 2015;135(3):e582-e589.
19. Tuchman LK, Schwartz LA, Sawicki GS, Britto MT. Cystic fibrosis and transition to adult medical care. Pediatrics. 2010;125(3):566-573.
20. Yankaskas JR, Marshall BC, Sufian B, Simon RH, Rodman D. Cystic fibrosis adult care: consensus conference report. Chest. 2004;125(1 Suppl):1S-39S.
21. CSHCN Core System Outcomes: Goals for a System of Care. The National Survey of Children with Special Health Care Needs Chartbook 2009-2010. http://mchb.hrsa.gov/cshcn0910/core/co.html Accessed November 30, 2016.

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Over 90% of children with chronic diseases now survive into adulthood.1,2 Clinical advances overcoming diseases previously fatal in childhood create new challenges for health systems with limited capacity to manage young adults with complicated and unfamiliar childhood-onset conditions. Consequently, improving the transition from pediatric to adult-oriented care has become a national priority.

Although major pediatric-adult transition initiatives—such as the Six Core Elements Framework,3 a technical brief from the Agency for Healthcare Research and Quality,4 and joint statements from major medical societies5,6—outline key transition recommendations generally and for outpatients, they contain limited or no guidance specifically devoted to transitioning inpatient hospital care from pediatric to adult-oriented settings. Key unknowns include whether, when, and how to transition inpatient care from children’s to nonchildren’s hospitals and how this can be integrated into comprehensive youth-adult transition care.

Nevertheless, the number of discharges of 18- to 21-year-old patients with chronic conditions admitted to children’s hospitals is increasing at a faster rate than discharges of other age groups,7 suggesting both that the population is growing in size and that there are important barriers to transitioning these patients into nonchildren’s hospital settings. Spending on adult patients 18 years or older admitted to children’s hospitals has grown to $1 billion annually.8 Hospitalizations are a commonly proposed outcome measure of pediatric-adult transition work.1,9,10 For example, higher rates of avoidable hospitalizations during early adulthood have been observed for 15- to 22-year-olds with kidney failure cared for exclusively in adult-oriented facilities and during the years immediately after transfer to adult care.11

While research is beginning to describe outcomes of adult-aged patients with childhood-onset chronic conditions admitted to children’s hospitals,7,12,13 there has been no comprehensive description of efforts within children’s hospitals to transition such patients into adult-oriented inpatient settings. This information is necessary to outline institutional needs, delineate opportunities for improvement, and help clinicians strategically organize services for patients requiring this transition.

We sought to characterize the current state of the transition from pediatric- to adult-oriented inpatient care across general pediatric inpatient services at US children’s hospitals. We hypothesized that only a limited and inconsistent set of activities would be practiced. We also hypothesized that institutions having formal outpatient transition processes or providers with specialization to care for this age group, such as dual-trained internal medicine–pediatrics (med–peds) physicians, would report performing more activities.

METHODS

Study Design, Setting, Participants

We conducted a national survey of leaders of inpatient general pediatrics services at US children’s hospitals from January 2016 to July 2016. Hospitals were identified using the online Children’s Hospital Association directory. Hospitals without inpatient general pediatrics services (eg, rehabilitation or subspecialty-only facilities) were excluded.

We identified a single respondent from each of the 195 remaining children’s hospitals using a structured protocol. Phone numbers and e-mail addresses of potential respondents were gathered from hospital or medical school directories. Following a standard script, study team members contacted potential respondents to describe the purpose of the study and to confirm their contact information. Hospitals were also allowed to designate a different individual with more specific expertise to participate, when relevant (eg, specific faculty member leading a related quality improvement initiative). The goal was to identify a leader of inpatient care with the most knowledge of institutional practices related to the transition to adult inpatient care. Examples of respondent roles included director of inpatient pediatrics, chief of hospital medicine or general pediatrics, medical director, and similar titles.

Survey Elements

As part of a larger quality improvement initiative at our institution, a multidisciplinary team of pediatric and internal medicine healthcare providers (physicians, nurse practitioners, nurses, case managers, social workers, child life specialists), as well as parents and patients, developed an “ideal state” with this transition and a consensus-based conceptual framework of key patient and institutional determinants of a formal inpatient transition initiative for children with chronic conditions within a children’s hospital (Figure).

Based on this model, we developed a novel survey instrument to assess the current state of inpatient transition from general services across US children’s hospitals. The instrument was refined and finalized after pilot testing with 5 pediatricians not involved in the study, at 3 institutions. Refinements centered on questionnaire formatting, ie, clarifying instructions, definitions, and question stems to minimize ambiguity and improve efficiency when completing the survey.

 

 

Institutional Context and Factors Influencing Inpatient Transitions

The following hospital characteristics were assessed: administrative structure (free-standing, hospital-within-hospital, or “free-leaning,” ie, separate physical structure but same administrative structure as a general hospital), urban versus rural, academic versus nonacademic, presence of an inpatient adolescent unit, presence of subspecialty admitting services, and providers with med–peds or family medicine training. The following provider group characteristics were assessed: number of full-time equivalents (FTEs), scope of practice (inpatient only, combination inpatient/outpatient), proportion of providers at a “senior” level (ie, at least 7 years posttraining or at an associate professor rank), estimated number of discharges per week, and proportion of patients cared for without resident physicians.

Inpatient Transition Initiative

Each institution was categorized as having or not having an inpatient transition initiative by whether they indicated having either (1) an institutional leader of the transition from pediatric to adult-oriented inpatient settings or (2) an inpatient transition process, for which “process” was defined as “a standard, organized, and predictable set of transition activities that may or may not be documented, but the steps are generally agreed upon.”

Specific Inpatient Transition Activities

Respondents indicated whether 22 activities occurred consistently, defined as at least 50% of the time. To facilitate description, activities were grouped into categories using the labels from the Six Core Elements framework3 (Table 1): Policy, Tracking and Monitoring, Readiness, Planning, Transfer of Care, and Transfer Completion. Respondents were also asked whether outpatient pediatric-adult transition activities existed at their institution and whether they were linked to inpatient transition activities.

Data Collection

After verifying contact information, respondents received an advanced priming phone call followed by a mailed request to participate with a printed uniform resource locator (URL) to the web survey. Two email reminders containing the URL were sent to nonresponders at 5 and 10 days after the initial mailing. Remaining nonresponders then received a reminder phone call, followed by a mailed paper copy of the survey questionnaire to be completed by hand approximately 2 weeks after the last emailed request. The survey was administered using the Qualtrics web survey platform (www.qualtrics.com). Data collection occurred between January 2016 and July 2016. Participants received a $20 incentive.

Statistical Analysis

Descriptive statistics summarized the current state of inpatient transition at general pediatrics services across US children’s hospitals. Exploratory factor analysis assessed whether individual activities were sufficiently correlated to allow grouping items and constructing scales. Differences in institutional or respondent characteristics between hospitals that did and did not report having an inpatient initiative were compared using t tests for continuous data. Fisher’s exact test was used for categorical data because some cell sizes were ≤5. Bivariate logistic regression quantified associations between presence versus absence of specific transition activities and presence versus absence of an inpatient transition initiative. Analyses were completed in STATA (SE version 14.0; StataCorp, College Station, Texas). The institutional review board at our institution approved this study.

RESULTS

Responses were received from 96 of 195 children’s hospitals (49.2% response rate). Responding institution characteristics are summarized in Table 2. Free-standing children’s hospitals made up just over one-third of the sample (36%), while the remaining were free-leaning (22%) or hospital-within-hospital (43%). Most children’s hospitals (58%) did not have a specific adult-oriented hospital identified to receive transitioning patients. Slightly more than 10% had an inpatient adolescent unit. The majority of institutions were academic medical centers (78%) in urban locations (88%). Respondents represented small (<5 FTE, 21%), medium (6-10 FTE, 36%), and large provider groups (11+ FTE, 44%). Although 70% of respondents described their groups as “hospitalist only,” meaning providers only practiced inpatient general pediatrics, nearly 30% had providers practicing inpatient and outpatient general pediatrics. Just over 40% of respondents reported having med–peds providers. Pediatric-adult transition processes for outpatient care were present at 45% of institutions.

Transition Activities

Thirty-eight percent of children’s hospitals had an inpatient transition initiative using our study definition—31% by having a set of generally agreed upon activities, 19% by having a leader, and 11% having both. Inpatient transition leaders included pediatric hospitalists (43%), pediatric subspecialists and primary care providers (14% each), med–peds providers (11%), or case managers (7%). Respondent and institutional characteristics were similar at institutions that did and did not have an inpatient transition initiative (Table 2); however, children’s hospitals with inpatient transition initiatives more often had med–peds providers (P = .04). Institutions with pediatric-adult outpatient care transition processes more often had an inpatient initiative (71% and 29%, respectively; P = .001).

Exploratory factor analysis identified 2 groups of well-correlated items, which we grouped into “preparation” and “transfer initiation” scales (supplementary Appendix). The preparation scale was composed of the following 5 items (Cronbach α = 0.84): proactive identification of patients anticipated to need transition, proactive identification of patients overdue for transition, readiness formally assessed, timing discussed with family, and patient and/or family informed that the next stay would be at the adult facility. The transfer initiation scale comprised the following 6 items (Cronbach α = 0.72): transition education provided to families, primary care–subspecialist agreement on timing, subspecialist–subspecialist agreement on timing, patient decision-making ability established, adult facility tour, and standardized handoff communication between healthcare providers. While these items were analyzed only in this scale, other activities were analyzed as independent variables. In this analysis, 40.9% of institutions had a preparation scale score of 0 (no items performed), while 13% had all 5 items performed. Transfer initiation scale scores ranged from 0 (47%) to 6 (2%).

Specific activities varied widely across institutions, and none of the activities occurred at a majority of children’s hospitals (Table 3). Only 11% of children’s hospital transition policies referenced transitions of inpatient care. The activity most commonly reported across children’s hospitals was addressing potential insurance problems (41%). The least common inpatient transition activities were having child life consult during the first adult hospital stay (6%) or having a system to track and monitor youth in the inpatient transition process (2%). Transition processes and policies were relatively new among institutions that had them—average years an inpatient transition process had been in place was 1.2 (SD 0.4), and average years with a transition policy, including inpatient care, was 1.3 (SD 0.4).

 

 

Transition Activities at Hospitals With and Without an Inpatient Transition Initiative

Most activities assessed in this study (both scales plus 5 of 11 individual activities) were significantly more common in children’s hospitals with an inpatient transition initiative (Table 3). The most common activity was addressing potential insurance problems (46%), and the least common activity was having a system to track and monitor youth in the inpatient transition process (3%). The majority of institutions without an inpatient transition initiative (53%) performed 0 transfer initiation scale items. Large effect sizes between hospitals with and without a transition initiative were observed for use of a checklist to complete tasks (odds ratio [OR] 9.6, P = .04) and creation of a transition care plan (OR 9.0, P = .008). Of the 6 activities performed at similarly low frequencies at institutions with and without an initiative, half involved transition planning, the essential step after readiness but before actual transfer of care.

DISCUSSION

We conducted the first national survey describing the policies and procedures of the transition of general inpatient care from children’s to adult-oriented hospitals for youth and young adults with chronic conditions. Our main findings demonstrate that a relatively small number of general inpatient services at children’s hospitals have leaders or dedicated processes to shepherd this transition, and a minority have a specific adult hospital identified to receive their patients. Even among institutions with inpatient transition initiatives, there is wide variability in the performance of activities to facilitate transitioning out of US children’s hospitals. In these institutions, performance seems to be more lacking in later links of the transition chain. Results from this work can serve as a baseline and identify organizational needs and opportunities for future work.

Children’s hospital general services with and without an inpatient pediatric-adult transition initiative had largely similar characteristics; however, the limited sample size may lack power to detect some differences. Perhaps not surprisingly, having med–peds providers and outpatient transition processes were the characteristics most associated with having an inpatient pediatric-adult transition initiative. The observation that over 70% of hospitals with an outpatient process had an inpatient transition leader or dedicated process makes us optimistic that as general transition efforts expand, more robust inpatient transition activities may be achievable.

We appreciate that the most appropriate location to care for hospitalized young adults with childhood-onset chronic conditions is neither known nor answered with this study. Both options face challenges—adult-oriented hospitals may not be equipped to care for adult manifestations of childhood-onset conditions,14,15 while children’s hospitals may lack the resources and expertise to provide comprehensive care to adults.7 Although hospital charges and lengths of stay may be greater when adults with childhood-onset chronic conditions are admitted to children’s compared with adult hospitals,12,13,16 important confounders such as severity of illness could explain why adult-aged patients may both remain in children’s hospitals at older ages and simultaneously have worse outcomes than peers. Regardless, at some point, transitioning care into an adult-oriented hospital may be in patients’ best interests. If so, families and providers need guidance on (1) the important aspects of this transition and (2) how to effectively implement the transition.

Because the most important inpatient transition care activities are not empirically known, we designed our survey to assess a broad set of desirable activities emerging from our multidisciplinary quality improvement work. We mapped these activities to the categories used by the Six Core Elements framework.3 Addressing insurance issues was one of the most commonly reported activities, although still fewer than 50% of hospitals reported addressing these problems. It was notable that the majority of institutions without a transition initiative performed none of the transfer initiation scale items. In addition, 2 features of transition efforts highlighted by advocates nationally—use of a checklist and creation of a transition care plan— were 9 times more likely when sites had transition initiatives. Such findings may be motivating for institutions that are considering establishing a transition initiative. Overall, we were not surprised with hospitals’ relatively low performance across most transition activities because only about 40% of US families of children with special healthcare needs report receiving the general services they need to transition to adult healthcare.17

We suspect that a number of the studied inpatient transition activities may be uncommon for structural reasons. For example, having child life consultation during an initial adult stay was rare. In fact, we observed post hoc that it occurred only in hospital-within-hospital systems, an expected finding because adult-only facilities are unlikely to have child life personnel. Other barriers, however, are less obviously structural. Almost no respondents indicated providing a tour of an adult facility, which was true whether the children’s hospital was free-standing or hospital-within-hospital. Given that hospitals with med–peds providers more often had inpatient transition initiatives, it would be interesting to examine whether institutions with med–peds training programs are able to overcome more of these barriers because of the bridges inherently created between departments even when at physically separated sites.

Having a system to track and/or monitor youth going through the transition process was also uncommon. This presumably valuable activity is one of the Six Core Elements3 and is reminiscent of population management strategies increasingly common in primary care.18 Pediatric hospitalists might benefit from adopting a similar philosophy for certain patient populations. Determining whether this activity would be most appropriately managed by inpatient providers versus being integrated into a comprehensive tracking and/or monitoring strategy (ie, inpatient care plus primary care, subspecialty care, school, employment, insurance, etc.) is worth continued consideration.

Although the activities we studied spanned many important dimensions, the most important transition activities in any given context may differ based on institutional resources and those of nearby adult healthcare providers.16 For example, an activity may be absent at a children’s hospital because it is already readily handled in primary care within that health system. Understanding how local resources and patient needs influence the relationship between transition activities and outcomes is an important next step in this line of work. Such research could inform how institutions adapt effective transition activities (eg, developing care plans) to most efficiently meet the needs of their patients and families.

Our findings align with and advance the limited work published on this aspect of transition. A systematic literature review of general healthcare transition interventions found that meeting adult providers prior to transitioning out of the pediatric system was associated with less concern about admission to the adult hospital floor.9 Formally recognizing inpatient care as a part of a comprehensive approach to transition may help adults with childhood-onset chronic conditions progress into adult-oriented hospitals. Inpatient and outpatient providers can educate one another on critical aspects of transition that span across settings. The Cystic Fibrosis (CF) Foundation has established a set of processes to facilitate the transition to adult care and specifically articulates the transfer to adult inpatient settings.19,20 Perhaps as a result, CF is also one of few conditions with fewer adult patients being admitted to children’s hospitals7 despite the increasing number of adults living with the condition.19 Adapting the CF Foundation approach to other chronic conditions may be an effective approach.

Our study has important limitations. Most pertinently, the list of transition activities was developed at a single institution. Although drawing on accepted national guidelines and a diverse local quality improvement group, our listed activities could not be exhaustive. Care plan development and posttransition follow-up activities may benefit from ongoing development in subsequent work. Continuing to identify and integrate approaches taken at other children’s hospitals will also be informative. For example, some children’s hospitals have introduced adult medicine consultative services to focus on transition, attending children’s hospital safety rounds, and sharing standard care protocols for adult patients still cared for in pediatric settings (eg, stroke and myocardial infarction).16

In addition, our findings are limited to generalist teams at children’s hospitals and may not be applicable to inpatient subspecialty services. We could not compare differences in respondents versus nonrespondents to determine whether important selection bias exists. Respondent answers could not be verified. Despite our attempt to identify the most informed respondent at each hospital, responses may have differed with other hospital respondents. We used a novel instrument with unknown psychometric properties. Our data provide only the children’s hospital perspective, and perspectives of others (eg, families, primary care pediatricians or internists, subspecialists, etc.) will be valuable to explore in subsequent research. Subsequent research should investigate the relative importance and feasibility of specific inpatient transition activities, ideal timing, as well as the expected outcomes of high-quality inpatient transition. An important question for future work is to identify which patients are most likely to benefit by having inpatient care as part of their transition plan.

 

 

CONCLUSIONS

Nevertheless, the clinical and health services implications of this facet of transition appear to be substantial.16 To meet the Maternal and Child Health Bureau (MCHB) core outcome for children with special healthcare needs to receive “the services necessary to make transitions to adult healthcare,”21 development, validation, and implementation of effective inpatient-specific transition activities and a set of measurable processes and outcomes are needed. A key direction for the healthcare transitions field, with respect to inpatient care, is to determine the activities most effective at improving relevant patient and family outcomes. Ultimately, we advocate that the transition of inpatient care be integrated into comprehensive approaches to transitional care.

Disclosure: The project described was supported in part by the Clinical and Translational Science Award (CTSA) program, through the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS), grant UL1TR000427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The project was also supported by the University of Wisconsin Departments of Pediatrics and Medicine. The authors have no financial or other relationships relevant to this article to disclose.

 

Over 90% of children with chronic diseases now survive into adulthood.1,2 Clinical advances overcoming diseases previously fatal in childhood create new challenges for health systems with limited capacity to manage young adults with complicated and unfamiliar childhood-onset conditions. Consequently, improving the transition from pediatric to adult-oriented care has become a national priority.

Although major pediatric-adult transition initiatives—such as the Six Core Elements Framework,3 a technical brief from the Agency for Healthcare Research and Quality,4 and joint statements from major medical societies5,6—outline key transition recommendations generally and for outpatients, they contain limited or no guidance specifically devoted to transitioning inpatient hospital care from pediatric to adult-oriented settings. Key unknowns include whether, when, and how to transition inpatient care from children’s to nonchildren’s hospitals and how this can be integrated into comprehensive youth-adult transition care.

Nevertheless, the number of discharges of 18- to 21-year-old patients with chronic conditions admitted to children’s hospitals is increasing at a faster rate than discharges of other age groups,7 suggesting both that the population is growing in size and that there are important barriers to transitioning these patients into nonchildren’s hospital settings. Spending on adult patients 18 years or older admitted to children’s hospitals has grown to $1 billion annually.8 Hospitalizations are a commonly proposed outcome measure of pediatric-adult transition work.1,9,10 For example, higher rates of avoidable hospitalizations during early adulthood have been observed for 15- to 22-year-olds with kidney failure cared for exclusively in adult-oriented facilities and during the years immediately after transfer to adult care.11

While research is beginning to describe outcomes of adult-aged patients with childhood-onset chronic conditions admitted to children’s hospitals,7,12,13 there has been no comprehensive description of efforts within children’s hospitals to transition such patients into adult-oriented inpatient settings. This information is necessary to outline institutional needs, delineate opportunities for improvement, and help clinicians strategically organize services for patients requiring this transition.

We sought to characterize the current state of the transition from pediatric- to adult-oriented inpatient care across general pediatric inpatient services at US children’s hospitals. We hypothesized that only a limited and inconsistent set of activities would be practiced. We also hypothesized that institutions having formal outpatient transition processes or providers with specialization to care for this age group, such as dual-trained internal medicine–pediatrics (med–peds) physicians, would report performing more activities.

METHODS

Study Design, Setting, Participants

We conducted a national survey of leaders of inpatient general pediatrics services at US children’s hospitals from January 2016 to July 2016. Hospitals were identified using the online Children’s Hospital Association directory. Hospitals without inpatient general pediatrics services (eg, rehabilitation or subspecialty-only facilities) were excluded.

We identified a single respondent from each of the 195 remaining children’s hospitals using a structured protocol. Phone numbers and e-mail addresses of potential respondents were gathered from hospital or medical school directories. Following a standard script, study team members contacted potential respondents to describe the purpose of the study and to confirm their contact information. Hospitals were also allowed to designate a different individual with more specific expertise to participate, when relevant (eg, specific faculty member leading a related quality improvement initiative). The goal was to identify a leader of inpatient care with the most knowledge of institutional practices related to the transition to adult inpatient care. Examples of respondent roles included director of inpatient pediatrics, chief of hospital medicine or general pediatrics, medical director, and similar titles.

Survey Elements

As part of a larger quality improvement initiative at our institution, a multidisciplinary team of pediatric and internal medicine healthcare providers (physicians, nurse practitioners, nurses, case managers, social workers, child life specialists), as well as parents and patients, developed an “ideal state” with this transition and a consensus-based conceptual framework of key patient and institutional determinants of a formal inpatient transition initiative for children with chronic conditions within a children’s hospital (Figure).

Based on this model, we developed a novel survey instrument to assess the current state of inpatient transition from general services across US children’s hospitals. The instrument was refined and finalized after pilot testing with 5 pediatricians not involved in the study, at 3 institutions. Refinements centered on questionnaire formatting, ie, clarifying instructions, definitions, and question stems to minimize ambiguity and improve efficiency when completing the survey.

 

 

Institutional Context and Factors Influencing Inpatient Transitions

The following hospital characteristics were assessed: administrative structure (free-standing, hospital-within-hospital, or “free-leaning,” ie, separate physical structure but same administrative structure as a general hospital), urban versus rural, academic versus nonacademic, presence of an inpatient adolescent unit, presence of subspecialty admitting services, and providers with med–peds or family medicine training. The following provider group characteristics were assessed: number of full-time equivalents (FTEs), scope of practice (inpatient only, combination inpatient/outpatient), proportion of providers at a “senior” level (ie, at least 7 years posttraining or at an associate professor rank), estimated number of discharges per week, and proportion of patients cared for without resident physicians.

Inpatient Transition Initiative

Each institution was categorized as having or not having an inpatient transition initiative by whether they indicated having either (1) an institutional leader of the transition from pediatric to adult-oriented inpatient settings or (2) an inpatient transition process, for which “process” was defined as “a standard, organized, and predictable set of transition activities that may or may not be documented, but the steps are generally agreed upon.”

Specific Inpatient Transition Activities

Respondents indicated whether 22 activities occurred consistently, defined as at least 50% of the time. To facilitate description, activities were grouped into categories using the labels from the Six Core Elements framework3 (Table 1): Policy, Tracking and Monitoring, Readiness, Planning, Transfer of Care, and Transfer Completion. Respondents were also asked whether outpatient pediatric-adult transition activities existed at their institution and whether they were linked to inpatient transition activities.

Data Collection

After verifying contact information, respondents received an advanced priming phone call followed by a mailed request to participate with a printed uniform resource locator (URL) to the web survey. Two email reminders containing the URL were sent to nonresponders at 5 and 10 days after the initial mailing. Remaining nonresponders then received a reminder phone call, followed by a mailed paper copy of the survey questionnaire to be completed by hand approximately 2 weeks after the last emailed request. The survey was administered using the Qualtrics web survey platform (www.qualtrics.com). Data collection occurred between January 2016 and July 2016. Participants received a $20 incentive.

Statistical Analysis

Descriptive statistics summarized the current state of inpatient transition at general pediatrics services across US children’s hospitals. Exploratory factor analysis assessed whether individual activities were sufficiently correlated to allow grouping items and constructing scales. Differences in institutional or respondent characteristics between hospitals that did and did not report having an inpatient initiative were compared using t tests for continuous data. Fisher’s exact test was used for categorical data because some cell sizes were ≤5. Bivariate logistic regression quantified associations between presence versus absence of specific transition activities and presence versus absence of an inpatient transition initiative. Analyses were completed in STATA (SE version 14.0; StataCorp, College Station, Texas). The institutional review board at our institution approved this study.

RESULTS

Responses were received from 96 of 195 children’s hospitals (49.2% response rate). Responding institution characteristics are summarized in Table 2. Free-standing children’s hospitals made up just over one-third of the sample (36%), while the remaining were free-leaning (22%) or hospital-within-hospital (43%). Most children’s hospitals (58%) did not have a specific adult-oriented hospital identified to receive transitioning patients. Slightly more than 10% had an inpatient adolescent unit. The majority of institutions were academic medical centers (78%) in urban locations (88%). Respondents represented small (<5 FTE, 21%), medium (6-10 FTE, 36%), and large provider groups (11+ FTE, 44%). Although 70% of respondents described their groups as “hospitalist only,” meaning providers only practiced inpatient general pediatrics, nearly 30% had providers practicing inpatient and outpatient general pediatrics. Just over 40% of respondents reported having med–peds providers. Pediatric-adult transition processes for outpatient care were present at 45% of institutions.

Transition Activities

Thirty-eight percent of children’s hospitals had an inpatient transition initiative using our study definition—31% by having a set of generally agreed upon activities, 19% by having a leader, and 11% having both. Inpatient transition leaders included pediatric hospitalists (43%), pediatric subspecialists and primary care providers (14% each), med–peds providers (11%), or case managers (7%). Respondent and institutional characteristics were similar at institutions that did and did not have an inpatient transition initiative (Table 2); however, children’s hospitals with inpatient transition initiatives more often had med–peds providers (P = .04). Institutions with pediatric-adult outpatient care transition processes more often had an inpatient initiative (71% and 29%, respectively; P = .001).

Exploratory factor analysis identified 2 groups of well-correlated items, which we grouped into “preparation” and “transfer initiation” scales (supplementary Appendix). The preparation scale was composed of the following 5 items (Cronbach α = 0.84): proactive identification of patients anticipated to need transition, proactive identification of patients overdue for transition, readiness formally assessed, timing discussed with family, and patient and/or family informed that the next stay would be at the adult facility. The transfer initiation scale comprised the following 6 items (Cronbach α = 0.72): transition education provided to families, primary care–subspecialist agreement on timing, subspecialist–subspecialist agreement on timing, patient decision-making ability established, adult facility tour, and standardized handoff communication between healthcare providers. While these items were analyzed only in this scale, other activities were analyzed as independent variables. In this analysis, 40.9% of institutions had a preparation scale score of 0 (no items performed), while 13% had all 5 items performed. Transfer initiation scale scores ranged from 0 (47%) to 6 (2%).

Specific activities varied widely across institutions, and none of the activities occurred at a majority of children’s hospitals (Table 3). Only 11% of children’s hospital transition policies referenced transitions of inpatient care. The activity most commonly reported across children’s hospitals was addressing potential insurance problems (41%). The least common inpatient transition activities were having child life consult during the first adult hospital stay (6%) or having a system to track and monitor youth in the inpatient transition process (2%). Transition processes and policies were relatively new among institutions that had them—average years an inpatient transition process had been in place was 1.2 (SD 0.4), and average years with a transition policy, including inpatient care, was 1.3 (SD 0.4).

 

 

Transition Activities at Hospitals With and Without an Inpatient Transition Initiative

Most activities assessed in this study (both scales plus 5 of 11 individual activities) were significantly more common in children’s hospitals with an inpatient transition initiative (Table 3). The most common activity was addressing potential insurance problems (46%), and the least common activity was having a system to track and monitor youth in the inpatient transition process (3%). The majority of institutions without an inpatient transition initiative (53%) performed 0 transfer initiation scale items. Large effect sizes between hospitals with and without a transition initiative were observed for use of a checklist to complete tasks (odds ratio [OR] 9.6, P = .04) and creation of a transition care plan (OR 9.0, P = .008). Of the 6 activities performed at similarly low frequencies at institutions with and without an initiative, half involved transition planning, the essential step after readiness but before actual transfer of care.

DISCUSSION

We conducted the first national survey describing the policies and procedures of the transition of general inpatient care from children’s to adult-oriented hospitals for youth and young adults with chronic conditions. Our main findings demonstrate that a relatively small number of general inpatient services at children’s hospitals have leaders or dedicated processes to shepherd this transition, and a minority have a specific adult hospital identified to receive their patients. Even among institutions with inpatient transition initiatives, there is wide variability in the performance of activities to facilitate transitioning out of US children’s hospitals. In these institutions, performance seems to be more lacking in later links of the transition chain. Results from this work can serve as a baseline and identify organizational needs and opportunities for future work.

Children’s hospital general services with and without an inpatient pediatric-adult transition initiative had largely similar characteristics; however, the limited sample size may lack power to detect some differences. Perhaps not surprisingly, having med–peds providers and outpatient transition processes were the characteristics most associated with having an inpatient pediatric-adult transition initiative. The observation that over 70% of hospitals with an outpatient process had an inpatient transition leader or dedicated process makes us optimistic that as general transition efforts expand, more robust inpatient transition activities may be achievable.

We appreciate that the most appropriate location to care for hospitalized young adults with childhood-onset chronic conditions is neither known nor answered with this study. Both options face challenges—adult-oriented hospitals may not be equipped to care for adult manifestations of childhood-onset conditions,14,15 while children’s hospitals may lack the resources and expertise to provide comprehensive care to adults.7 Although hospital charges and lengths of stay may be greater when adults with childhood-onset chronic conditions are admitted to children’s compared with adult hospitals,12,13,16 important confounders such as severity of illness could explain why adult-aged patients may both remain in children’s hospitals at older ages and simultaneously have worse outcomes than peers. Regardless, at some point, transitioning care into an adult-oriented hospital may be in patients’ best interests. If so, families and providers need guidance on (1) the important aspects of this transition and (2) how to effectively implement the transition.

Because the most important inpatient transition care activities are not empirically known, we designed our survey to assess a broad set of desirable activities emerging from our multidisciplinary quality improvement work. We mapped these activities to the categories used by the Six Core Elements framework.3 Addressing insurance issues was one of the most commonly reported activities, although still fewer than 50% of hospitals reported addressing these problems. It was notable that the majority of institutions without a transition initiative performed none of the transfer initiation scale items. In addition, 2 features of transition efforts highlighted by advocates nationally—use of a checklist and creation of a transition care plan— were 9 times more likely when sites had transition initiatives. Such findings may be motivating for institutions that are considering establishing a transition initiative. Overall, we were not surprised with hospitals’ relatively low performance across most transition activities because only about 40% of US families of children with special healthcare needs report receiving the general services they need to transition to adult healthcare.17

We suspect that a number of the studied inpatient transition activities may be uncommon for structural reasons. For example, having child life consultation during an initial adult stay was rare. In fact, we observed post hoc that it occurred only in hospital-within-hospital systems, an expected finding because adult-only facilities are unlikely to have child life personnel. Other barriers, however, are less obviously structural. Almost no respondents indicated providing a tour of an adult facility, which was true whether the children’s hospital was free-standing or hospital-within-hospital. Given that hospitals with med–peds providers more often had inpatient transition initiatives, it would be interesting to examine whether institutions with med–peds training programs are able to overcome more of these barriers because of the bridges inherently created between departments even when at physically separated sites.

Having a system to track and/or monitor youth going through the transition process was also uncommon. This presumably valuable activity is one of the Six Core Elements3 and is reminiscent of population management strategies increasingly common in primary care.18 Pediatric hospitalists might benefit from adopting a similar philosophy for certain patient populations. Determining whether this activity would be most appropriately managed by inpatient providers versus being integrated into a comprehensive tracking and/or monitoring strategy (ie, inpatient care plus primary care, subspecialty care, school, employment, insurance, etc.) is worth continued consideration.

Although the activities we studied spanned many important dimensions, the most important transition activities in any given context may differ based on institutional resources and those of nearby adult healthcare providers.16 For example, an activity may be absent at a children’s hospital because it is already readily handled in primary care within that health system. Understanding how local resources and patient needs influence the relationship between transition activities and outcomes is an important next step in this line of work. Such research could inform how institutions adapt effective transition activities (eg, developing care plans) to most efficiently meet the needs of their patients and families.

Our findings align with and advance the limited work published on this aspect of transition. A systematic literature review of general healthcare transition interventions found that meeting adult providers prior to transitioning out of the pediatric system was associated with less concern about admission to the adult hospital floor.9 Formally recognizing inpatient care as a part of a comprehensive approach to transition may help adults with childhood-onset chronic conditions progress into adult-oriented hospitals. Inpatient and outpatient providers can educate one another on critical aspects of transition that span across settings. The Cystic Fibrosis (CF) Foundation has established a set of processes to facilitate the transition to adult care and specifically articulates the transfer to adult inpatient settings.19,20 Perhaps as a result, CF is also one of few conditions with fewer adult patients being admitted to children’s hospitals7 despite the increasing number of adults living with the condition.19 Adapting the CF Foundation approach to other chronic conditions may be an effective approach.

Our study has important limitations. Most pertinently, the list of transition activities was developed at a single institution. Although drawing on accepted national guidelines and a diverse local quality improvement group, our listed activities could not be exhaustive. Care plan development and posttransition follow-up activities may benefit from ongoing development in subsequent work. Continuing to identify and integrate approaches taken at other children’s hospitals will also be informative. For example, some children’s hospitals have introduced adult medicine consultative services to focus on transition, attending children’s hospital safety rounds, and sharing standard care protocols for adult patients still cared for in pediatric settings (eg, stroke and myocardial infarction).16

In addition, our findings are limited to generalist teams at children’s hospitals and may not be applicable to inpatient subspecialty services. We could not compare differences in respondents versus nonrespondents to determine whether important selection bias exists. Respondent answers could not be verified. Despite our attempt to identify the most informed respondent at each hospital, responses may have differed with other hospital respondents. We used a novel instrument with unknown psychometric properties. Our data provide only the children’s hospital perspective, and perspectives of others (eg, families, primary care pediatricians or internists, subspecialists, etc.) will be valuable to explore in subsequent research. Subsequent research should investigate the relative importance and feasibility of specific inpatient transition activities, ideal timing, as well as the expected outcomes of high-quality inpatient transition. An important question for future work is to identify which patients are most likely to benefit by having inpatient care as part of their transition plan.

 

 

CONCLUSIONS

Nevertheless, the clinical and health services implications of this facet of transition appear to be substantial.16 To meet the Maternal and Child Health Bureau (MCHB) core outcome for children with special healthcare needs to receive “the services necessary to make transitions to adult healthcare,”21 development, validation, and implementation of effective inpatient-specific transition activities and a set of measurable processes and outcomes are needed. A key direction for the healthcare transitions field, with respect to inpatient care, is to determine the activities most effective at improving relevant patient and family outcomes. Ultimately, we advocate that the transition of inpatient care be integrated into comprehensive approaches to transitional care.

Disclosure: The project described was supported in part by the Clinical and Translational Science Award (CTSA) program, through the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS), grant UL1TR000427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The project was also supported by the University of Wisconsin Departments of Pediatrics and Medicine. The authors have no financial or other relationships relevant to this article to disclose.

 

References

1. Vaks Y, Bensen R, Steidtmann D, et al. Better health, less spending: Redesigning the transition from pediatric to adult healthcare for youth with chronic illness. Healthc (Amst). 2016;4(1):57-68.
2. Bensen R, Steidtmann D, Vaks Y. A Triple Aim Approach to Transition from Pediatric to Adult Health Care for Youth with Special Health Care Needs. Palo Alto, CA: Lucile Packard Foundation for Children’s Health; 2014.
3. Got Transition. Center for Health Care Transition Improvement 2016; http://www.gottransition.org/. Accessed April 4, 2016.
4. McPheeters M, Davis AM, Taylor JL, Brown RF, Potter SA, Epstein RA. Transition Care for Children with Special Health Needs. Technical Brief No. 15. Rockville, MD: Agency for Healthcare Research and Quality; 2014.
5. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians, Transitions Clinical Report Authoring Group, Cooley WC, Sagerman PJ. Supporting the health care transition from adolescence to adulthood in the medical home. Pediatrics. 2011;128(1):182-200.
6. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians-American Society of Internal Medicine. A consensus statement on health care transitions for young adults with special health care needs. Pediatrics. 2002;110(6 Pt 2):1304-1306.
7. Goodman DM, Hall M, Levin A, et al. Adults with chronic health conditions originating in childhood: inpatient experience in children’s hospitals. Pediatrics. 2011;128(1):5-13.
8. Goodman DM, Mendez E, Throop C, Ogata ES. Adult survivors of pediatric illness: the impact on pediatric hospitals. Pediatrics. 2002;110(3):583-589.
9. Bloom SR, Kuhlthau K, Van Cleave J, Knapp AA, Newacheck P, Perrin JM. Health care transition for youth with special health care needs. J Adolesc Health. 2012;51(3):213-219.
10. Fair C, Cuttance J, Sharma N, et al. International and Interdisciplinary Identification of Health Care Transition Outcomes. JAMA Pediatr. 2016;170(3):205-211.
11. Samuel SM, Nettel-Aguirre A, Soo A, Hemmelgarn B, Tonelli M, Foster B. Avoidable hospitalizations in youth with kidney failure after transfer to or with only adult care. Pediatrics. 2014;133(4):e993-e1000.
12. Okumura MJ, Campbell AD, Nasr SZ, Davis MM. Inpatient health care use among adult survivors of chronic childhood illnesses in the United States. Arch Pediatr Adolesc Med. 2006;160(10):1054-1060.
13. Edwards JD, Houtrow AJ, Vasilevskis EE, Dudley RA, Okumura MJ. Multi-institutional profile of adults admitted to pediatric intensive care units. JAMA Pediatr. 2013;167(5):436-443.
14. Peter NG, Forke CM, Ginsburg KR, Schwarz DF. Transition from pediatric to adult care: internists’ perspectives. Pediatrics. 2009;123(2):417-423.
15. Okumura MJ, Heisler M, Davis MM, Cabana MD, Demonner S, Kerr EA. Comfort of general internists and general pediatricians in providing care for young adults with chronic illnesses of childhood. J Gen Intern Med. 2008;23(10):1621-1627.
16. Kinnear B, O’Toole JK. Care of Adults in Children’s Hospitals: Acknowledging the Aging Elephant in the Room. JAMA Pediatr. 2015;169(12):1081-1082.
17. McManus MA, Pollack LR, Cooley WC, et al. Current status of transition preparation among youth with special needs in the United States. Pediatrics. 2013;131(6):1090-1097.
18. Kelleher KJ, Cooper J, Deans K, et al. Cost saving and quality of care in a pediatric accountable care organization. Pediatrics. 2015;135(3):e582-e589.
19. Tuchman LK, Schwartz LA, Sawicki GS, Britto MT. Cystic fibrosis and transition to adult medical care. Pediatrics. 2010;125(3):566-573.
20. Yankaskas JR, Marshall BC, Sufian B, Simon RH, Rodman D. Cystic fibrosis adult care: consensus conference report. Chest. 2004;125(1 Suppl):1S-39S.
21. CSHCN Core System Outcomes: Goals for a System of Care. The National Survey of Children with Special Health Care Needs Chartbook 2009-2010. http://mchb.hrsa.gov/cshcn0910/core/co.html Accessed November 30, 2016.

References

1. Vaks Y, Bensen R, Steidtmann D, et al. Better health, less spending: Redesigning the transition from pediatric to adult healthcare for youth with chronic illness. Healthc (Amst). 2016;4(1):57-68.
2. Bensen R, Steidtmann D, Vaks Y. A Triple Aim Approach to Transition from Pediatric to Adult Health Care for Youth with Special Health Care Needs. Palo Alto, CA: Lucile Packard Foundation for Children’s Health; 2014.
3. Got Transition. Center for Health Care Transition Improvement 2016; http://www.gottransition.org/. Accessed April 4, 2016.
4. McPheeters M, Davis AM, Taylor JL, Brown RF, Potter SA, Epstein RA. Transition Care for Children with Special Health Needs. Technical Brief No. 15. Rockville, MD: Agency for Healthcare Research and Quality; 2014.
5. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians, Transitions Clinical Report Authoring Group, Cooley WC, Sagerman PJ. Supporting the health care transition from adolescence to adulthood in the medical home. Pediatrics. 2011;128(1):182-200.
6. American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians-American Society of Internal Medicine. A consensus statement on health care transitions for young adults with special health care needs. Pediatrics. 2002;110(6 Pt 2):1304-1306.
7. Goodman DM, Hall M, Levin A, et al. Adults with chronic health conditions originating in childhood: inpatient experience in children’s hospitals. Pediatrics. 2011;128(1):5-13.
8. Goodman DM, Mendez E, Throop C, Ogata ES. Adult survivors of pediatric illness: the impact on pediatric hospitals. Pediatrics. 2002;110(3):583-589.
9. Bloom SR, Kuhlthau K, Van Cleave J, Knapp AA, Newacheck P, Perrin JM. Health care transition for youth with special health care needs. J Adolesc Health. 2012;51(3):213-219.
10. Fair C, Cuttance J, Sharma N, et al. International and Interdisciplinary Identification of Health Care Transition Outcomes. JAMA Pediatr. 2016;170(3):205-211.
11. Samuel SM, Nettel-Aguirre A, Soo A, Hemmelgarn B, Tonelli M, Foster B. Avoidable hospitalizations in youth with kidney failure after transfer to or with only adult care. Pediatrics. 2014;133(4):e993-e1000.
12. Okumura MJ, Campbell AD, Nasr SZ, Davis MM. Inpatient health care use among adult survivors of chronic childhood illnesses in the United States. Arch Pediatr Adolesc Med. 2006;160(10):1054-1060.
13. Edwards JD, Houtrow AJ, Vasilevskis EE, Dudley RA, Okumura MJ. Multi-institutional profile of adults admitted to pediatric intensive care units. JAMA Pediatr. 2013;167(5):436-443.
14. Peter NG, Forke CM, Ginsburg KR, Schwarz DF. Transition from pediatric to adult care: internists’ perspectives. Pediatrics. 2009;123(2):417-423.
15. Okumura MJ, Heisler M, Davis MM, Cabana MD, Demonner S, Kerr EA. Comfort of general internists and general pediatricians in providing care for young adults with chronic illnesses of childhood. J Gen Intern Med. 2008;23(10):1621-1627.
16. Kinnear B, O’Toole JK. Care of Adults in Children’s Hospitals: Acknowledging the Aging Elephant in the Room. JAMA Pediatr. 2015;169(12):1081-1082.
17. McManus MA, Pollack LR, Cooley WC, et al. Current status of transition preparation among youth with special needs in the United States. Pediatrics. 2013;131(6):1090-1097.
18. Kelleher KJ, Cooper J, Deans K, et al. Cost saving and quality of care in a pediatric accountable care organization. Pediatrics. 2015;135(3):e582-e589.
19. Tuchman LK, Schwartz LA, Sawicki GS, Britto MT. Cystic fibrosis and transition to adult medical care. Pediatrics. 2010;125(3):566-573.
20. Yankaskas JR, Marshall BC, Sufian B, Simon RH, Rodman D. Cystic fibrosis adult care: consensus conference report. Chest. 2004;125(1 Suppl):1S-39S.
21. CSHCN Core System Outcomes: Goals for a System of Care. The National Survey of Children with Special Health Care Needs Chartbook 2009-2010. http://mchb.hrsa.gov/cshcn0910/core/co.html Accessed November 30, 2016.

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Ryan J. Coller, MD, MPH, Department of Pediatrics, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792; Telephone: 608-265-5545; Fax: 608-265-9243; E-mail: [email protected]
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Hospital Handoffs and Readmissions in Children

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Discharge handoff communication and pediatric readmissions

Although much has been written about pediatric discharge and readmissions1-5 over the past several years, surprisingly little is known about which care practices are most effective at preventing postdischarge utilization.5 Major collaborations across the U.S. are currently focused on improving pediatric discharge processes,6-8 although the impact that these efforts will have on readmissions remains to be seen.

Research on handoffs between hospitals and primary care has mixed associations with postdischarge utilization. Although some studies observe positive relationships between specific activities and reduced postdischarge utilization,1 others suggest no relationship9-12 or, paradoxically, more utilization.13,14 Brittan et al15 found that outpatient visits were associated with more readmissions when occurring less than 4 days after discharge, but fewer readmissions when occurring 4 days to  29 days after discharge. Most studies, however, investigate single or limited sets of care activities, such as having an outpatient visit,15 timeliness of that visit,16 or receipt of a discharge summary.11 Inclusion of a more comprehensive set of hospital- to primary-care communication practices may better unravel this complex relationship between discharge care and postdischarge outcomes for children.

The purpose of this study was to characterize a set of traditional discharge handoff practices between hospital and primary care providers (PCPs) and to explore their relationships to readmissions. We hypothesized that handoff practices would be associated with fewer unplanned readmissions.

METHODS

Study Design, Setting, Participants

This project was part of a prospective cohort study with 2 aims: to investigate relationships between medical home experience and postdischarge utilization,17 and to identify relationships between common discharge communication practices and postdischarge utilization. This manuscript is focused on the second aim. Randomly selected pediatric patients and their caregivers were enrolled from any medical or surgical service during an acute hospitalization lasting more than 24 hours from October 1, 2012 to January 1, 2014, at a 100-bed tertiary children’s hospital. Patients who transferred to another facility, died, were older than 18 years or in neonatal care (ie, newborn nursery or neonatal intensive care unit) were excluded since their discharge experiences would be significantly distinct from the population of interest. Patients were enrolled once in the study.

Outcome

The study’s primary outcome was 30-day unplanned readmissions, defined as a hospitalization occurring within 30 days of the index (ie, study enrollment) hospitalization, identified through caregiver report or administrative sources.17 Although the study site is a single hospital system, readmissions could have occurred to any hospital reported by caregivers, (ie, readmissions could have occurred within or outside our health system). Readmissions for chemotherapy, radiation, dialysis, rehabilitation, or labor and delivery were excluded. If caregivers reported an admission as planned or chart review of the index discharge summary noted that a rehospitalization was scheduled in the subsequent 30 days, the readmission was labeled “planned” and excluded. 

Discharge Handoff Communication

Transitional care is a set of actions designed to ensure continuity and coordination of healthcare during transfer from 1 location or level of care to another.18,19 The study team, comprised of a division chief of general pediatrics, a division chief of hospital medicine, 2 departmental vice-chairs, and the medical director for quality at the study site, identified 11 common handoff activities and reporting sources. These consensus-based activities were expected by the study team to improve continuity and coordination during hospital-to-home transfer, and included:

  • verifying PCP identity during the hospitalization (caregiver report); 
  • notifying the PCP of admission, discharge, and providing updates during the hospitalization (PCP report); 
  • PCP follow-up appointment set prior to discharge (caregiver report); 
  • documenting planned PCP and subspecialty follow-up in the discharge summary (chart review); 
  • completing the discharge summary within 48 hours (chart review); 
  • providing a verbal or written handoff to the PCP prior to follow-up (PCP report); and 
  • having a PCP follow-up visit within 30 days of discharge (caregiver report). 

We also asked PCPs whether they thought the follow-up interval was appropriate and whether phone follow-up with the patient would have been as appropriate as a face-to-face visit. 

Covariates

Patient demographics that might confound the relationship between handoff practices and readmissions based on pediatric research20,21 were included. Medical complexity was accounted for by length-of-index stay, the number of hospitalizations and emergency department (ED) visits in past 12 months, complex chronic conditions,22,23 and seeing 3 or more subspecialists.24,25 Variables from related work included PCP scope (general pediatrics or subspecialist) and presence of a usual source for well and sick care.17

The Care Transitions Measure-3 (CTM-3), originally developed to assess the patient-centeredness of hospital transition,26,27 can discriminate adult patients at risk for readmission.26 We adapted the original CTM-3 to be answered by caregiver respondents after pilot testing with 5 caregivers not enrolled in the study: 1) “The hospital staff took my preferences and those of my family into account in deciding what my child’s health care needs would be when I left the hospital;” 2) “When I left the hospital, I had a good understanding of the things I was responsible for in managing my child’s health;” and 3) “When I left the hospital, I clearly understood the purpose for giving each of my child’s medications.” We analyzed the adapted CTM-3 on a transformed 0-100 scale as designed,26 initially hypothesizing that the CTM-3 would mediate the relationship between handoff practices and readmissions.

We assessed caregiver confidence to avoid a readmission, based on a strong independent association with readmissions described in Coller et al.17 Using questions developed for this study, caregivers were asked to rate “How confident are you that [child’s name] will stay out of the hospital for the next 30 days?” with instructions to refer to unplanned hospital visits only. Responses were reported on a 4-point Likert scale (1 = very confident, 4 = not very confident). Responses were dichotomized into very confident (ie, “1”) or not very confident (ie, “2-4”).

Enrollment and Data Collection

Computer-generated random numbers were assigned to patients admitted the previous day, and families were enrolled sequentially until the daily enrollment target was reached. Data were obtained from 3 sources: medical record, caregiver report, and PCP report. Trained research assistants systematically extracted chart review data documenting the transitions practices above, while a hospital information technology analyst extracted claims and demographic data to complement what was reported by parents and PCPs. After study conclusion, these medical record data were merged with caregiver and PCP-reported data.

Trained bilingual research assistants collected caregiver- and PCP-reported data using structured questionnaires in English or Spanish, according to preference. Timing of data collection differed by data source; caregiver-reported data were collected immediately after discharge and at 30 days postdischarge; PCP-reported data were collected at 30 days postdischarge. 

Caregiver-reported data were collected through 2 separate phone calls following index discharge: immediately after discharge (caregiver confidence and CTM-3 measures) and at 30 days (readmission measures). Caregiver confidence questions were asked after (rather than immediately before) discharge to avoid biasing clinical care and revisit risk, consistent with previous work.28 

PCP-reported data were collected using structured questionnaires with the PCP who was identified by the family during study enrollment. PCP-reported data were collected by telephone or fax 30 days after discharge, with up to 5 telephone attempts and 3 fax attempts. At the beginning of the questionnaire, PCPs were asked if they agreed with the designation, although they were asked to complete the questionnaire regardless. 

Analyses

Descriptive statistics compared differences in handoff practices and 30-day unplanned readmissions. Exploratory factor analysis assessed whether certain handoff practices were sufficiently correlated to allow grouping of items and construction of scales. Relationships between handoff practices and readmissions were examined using bivariate, followed by multivariate, logistic regression adjusting for the covariates described. Collinearity was tested before constructing final models. Because no relationship was observed between CTM-3 and readmissions, additional mediation analyses were not pursued. All analyses were completed using STATA (SE version 14.0, StataCorp LP, College Station, Texas). This study was approved by the Institutional Review Boards at UCLA (study site) and University of Wisconsin (lead author site).

RESULTS

This study enrolled 701 of 816 eligible participants (85.9%) between October 2012 and January 2014. More than 99% of administrative data and 97% of caregiver questionnaires were complete. Of 685 patients with a reported PCP, we obtained responses from 577 PCPs (84.2%). Patient characteristics and outcomes were not significantly different for patients with and without a responding PCP; however, patients of nonresponding PCPs were more often publicly insured (64.5% vs. 48.2% for responding PCPs, P = 0.004) or seen by a subspecialist as opposed to a generalist (28.1% vs. 13.8% for responding PCPs, P = 0.001). 

The overall population characteristics are summarized in Table 1: 27.4% of the cohort was younger 2 years, 49.2% were Hispanic, and the majority (51.1%) had public insurance. The average length of the index hospitalization for the overall population was 4.8 days (standard deviation = 9.6), and 53.5% had at least 1 complex chronic condition. Eighty-four percent of the cohort reported using a generalist (vs. subspecialist) for primary care. 

Pediatric Patient Characteristics and Unplanned Readmissions
Table 1

Discharge Handoff Communication

Practices varied widely (Figure 1a). Verbal handoffs between hospital-based and PCPs were least common (10.7%), whereas discharge summary completion within 48 hours was most common (84.9%). Of variables measuring direct communication with PCPs, only notification of admission occurred at least half the time (50.8%). 

Exploratory factor analysis identified 5 well-correlated items (Cronbach α = 0.77), which were combined and labeled the Hospital and Primary Care Provider Communication scale (Figure 1b). Items included PCP notification of admission, discharge, and receipt of updates during hospitalization, as well as receipt of verbal and written handoffs prior to follow-up. While these 5 items were analyzed only in this scale, other practices were analyzed as independent variables. In this assessment, 42.1% of patients had a scale score of 0 (no items performed), while 5% had all 5 items completed 

Handoff Communications Practices
Figure 1A-1B

Readmissions

The 30-day unplanned readmission rate to any hospital was 12.4%. Demographic characteristics were similar in patients with and without an unplanned readmission (Table 1); however, patients with a readmission were more often younger (P = 0.03) and used a subspecialist for primary care (P = 0.03). Fewer than 60% of those with an unplanned readmission had a usual source of sick and well care compared with 77.5% of those without a readmission (P < 0.001). The length of index stay was nearly 4 days longer for those with an unplanned readmission (9.3 days vs. 4.4 days, P < 0.001). These patients also had more hospitalizations or ED visits in the past year (P = 0.002 and P = 0.04, respectively) and saw more subspecialists (P < 0.001). 

Handoff Communications Practices and Unplanned Readmissions
Table 2

Frequencies of communication practices between those with and without an unplanned readmission are illustrated in Table 2. Nearly three-quarters of caregivers whose children were readmitted reported having follow-up appointments scheduled before discharge, compared to 48.9% without a readmission (P < 0.001). In 71% of discharges followed by a readmission, caregivers were not very confident about avoiding readmission, vs. 44.8% of discharges with no readmission (P < 0.001). 

Readmissions were largely unrelated to handoff practices in multivariate analyses (Table 3). Having a follow-up visit scheduled prior to discharge was the only activity with a statistically significant association; however, it was actually associated with more than double the odds of readmission (adjusted odds ratio 2.20, 95% confidence interval 1.08-4.46). 

Handoff Communications Practices and Multivariate Associations
Table 3

DISCUSSION

The complex nature of hospital discharge care has led to general optimism that improved handoff processes might reduce readmissions for pediatric patients. Although the current literature linking transition practices to readmissions in pediatrics has mixed results,1,4,5 most studies are fragmented—investigating a single or small number of transitional care activities, such as outpatient follow-up visits, postdischarge caregiver phone calls, or PCP receipt of discharge summaries. Despite finding limited relationships with readmissions, a strength of our study was its inclusion of a more comprehensive set of traditional communication practices that the study team anticipates many primary care and hospital medicine providers would expect to be carried out for most, if not all, patients during the hospital-to-home transition. 

Although our study was developed earlier, the variables in our analyses align with each domain of the conceptual model for readmission risk proposed by the Seamless Transitions and Re(admissions) Network (STARNet).6 This model identifies 7 elements believed to directly impact readmission risk in children: hospital and ED utilization, underlying diseases, ability to care for diseases, access to outpatient care, discharge processes, and discharge readiness. For example, our study included ED and hospital visits in the past year, complex chronic conditions, number of subspecialists, caregiver confidence, having a usual source of care, insurance status, and the 11 consensus-based handoff practices identified by our study team. Therefore, although the included handoff practices we included were a limited set, our models provide a relatively comprehensive analysis of readmission risk, confirming caregiver confidence, usual source of care, and hospitalizations to be associated with unplanned readmissions.

With the exception of having scheduled follow-up appointments before discharge – which was associated with more rather than fewer readmissions—the included care practices were not associated with readmissions. We suspect that these findings likely represent selection bias, with hospital providers taking additional steps in communicating with outpatient providers when they are most concerned about a patient’s vulnerability at discharge, eg, due to severity of illness, sociodemographics, health literacy, access to care, or other factors. Such selection bias could have 2 potential effects: (1) creating associations between the performance of certain handoff practices and higher readmission risk (eg, hospital providers are more likely to set follow-up appointments with the sickest patients who are also most likely to be readmitted, or (2) negating weakly effective communication practices that have small effect sizes. The currently mixed literature suggests that if associations between these handoff practices and postdischarge outcomes exist, they are often opposite to our expectation and likely driven by selection bias. If there are real effects that are hidden by this selection bias, they may be weak or inconsistent.

Recent qualitative research highlights the needs and preferences of caregivers of children with chronic or complex conditions to promote their sense of self-efficacy at discharge.29 Such needs include support from within and beyond the health system, comprehensive discharge education, and written instructions, ultimately leading to confidence and comfort in executing the home-management plan. Consistent with our work,17 a strong independent relationship between caregiver confidence and postdischarge outcomes remained even after accounting for these conventional handoff activities. 

Transitions research in pediatrics has started only recently to move beyond traditional handoff communication between hospital and outpatient providers. Over the last several years, more ambitious conceptualizations of hospital discharge care have evolved2 and include constructs such as family-centeredness,4,28,29 discharge readiness,30 and social determinants of health.31 Interventions targeting these constructs are largely missing from the literature and are greatly needed. If transitions are to have an effect on downstream utilization, their focus likely needs to evolve to address such areas.

Finally, our study underscores the need to identify relevant outcomes of improved transitional care. Although the preventability of postdischarge utilization continues to be debated, most would agree that this should not detract from the importance of high-quality transitional care. The STARNet collaborative provides some examples of outcomes potentially impacted through improved transitional care,6 although the authors note that reliability, validity, and feasibility of the measures are not well understood. High-quality transitional care presumably would lead to improvements in patient and family experience and perhaps safer care. Although caregiver experience measured by an adapted CTM-3 was neither a mediator nor a predictor of postdischarge utilization for children in our study, use of more rigorously developed tools for pediatric patients32 may provide a better assessment of caregiver experience. Finally, given the well-described risks of poor communication between hospital and outpatient providers,33-35 safety events may be a better outcome of high-quality transitional care than readmissions. Investment in transitional care initiatives would be well justified if the positive patient, provider, and health system impacts can be better demonstrated through improved outcomes.

Future readmissions research should aim to accomplish several goals. Because observational studies will continue to be challenged by the selection biases described above, more rigorously designed and controlled experimental pediatric studies are needed. Family, social, and primary care characteristics should continue to be incorporated into pediatric readmission analyses given their increasingly recognized critical role. These variables, some of which could be modifiable, might represent potential targets for innovative readmission reduction interventions. Recently published conceptual models6,29,36 provide a useful starting framework. 

Limitations

Because of the observational study design, we cannot draw conclusions about causal relationships between handoff practices and the measured outcomes. The tertiary care single-center nature of the study limits generalizability. Response biases are possible given that we often could not verify accuracy of PCP and caregiver responses. As noted above, we suspect that handoff practices were driven by important selection bias, not all of which could be controlled by the measured patient and clinical characteristics. The handoff practices included in this study were a limited set primarily focused on communication between hospital providers and PCPs. Therefore, the study does not rule out the possibility that other aspects of transitional care may reduce readmissions. Subsequent work investigating innovative interventions may find reductions in readmissions and other important outcomes. Additionally, not all practices have standardized definitions, eg, what 1 PCP considers a verbal handoff may be different from that of another provider. Although we assessed whether communication occurred, we were not able to assess the content or quality of communication, which may have important implications for its effectiveness.37,38 

CONCLUSION

Improvements in handoffs between hospital and PCPs may have an important impact on postdischarge outcomes, but it is not clear that unplanned 30-day readmissions is among them. Efforts to reduce postdischarge utilization, if possible, likely need to focus on broader constructs such as caregiver self-efficacy, discharge readiness, and social determinants of health.

Disclosures

This study was supported by a grant from the Lucile Packard Foundation for Children’s Health, Palo Alto, California, as well as grant R40MC25677 Maternal and Child Health Research Program, Maternal and Child Health Bureau (Title V, Social Security Act), Health Resources and Services Administration, Department of Health and Human Services. The authors report no financial conflicts of interest.

References

 

1. Auger KA, Kenyon CC, Feudtner C, Davis MM. Pediatric hospital discharge interventions to reduce subsequent utilization: a systematic review. J Hosp Med. 2014;9:251-260. PubMed

2. Berry JG, Blaine K, Rogers J, et al. A framework of pediatric hospital discharge care informed by legislation, research, and practice. JAMA Pediatr. 2014;168:955-962; quiz 965-956. PubMed

3. Snow V, Beck D, Budnitz T, et al, American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. Transitions of Care Consensus Policy Statement. American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. J Gen Intern Med. 2009;24:971-976. PubMed

4. Desai AD, Popalisky J, Simon TD, Mangione-Smith RM. The effectiveness of family-centered transition processes from hospital settings to home: a review of the literature. Hosp Pediatr. 2015;5:219-231. PubMed

5. Berry JG, Gay JC. Preventing readmissions in children: how do we do that? Hosp Pediatr. 2015;5:602-604. PubMed

6. Auger KA, Simon TD, Cooperberg D, et al. Summary of STARNet: Seamless Transitions and (Re)admissions Network. Pediatrics. 2015;135:164-175. PubMed

7. Value in inpatient pediatrics network projects. American Academy of Pediatrics. Available at: https://www.aap.org/en-us/professional-resources/quality-improvement/Quality-Improvement-Innovation-Networks/Value-in-Inpatient-Pediatrics-Network/Pages/Value-in-Inpatient-Pediatrics-Network.aspx. Accessed May 18, 2015.

8. Ohio Children’s Hospitals. Solutions for patient safety. Available at: http://www.solutionsforpatientsafety.org/about-us/our-goals/. Accessed May 18, 2015.

9. Bell CM, Schnipper JL, Auerbach AD, et al. Association of communication between hospital-based physicians and primary care providers with patient outcomes. J Gen Intern Med. 2009;24:381-386. PubMed

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11. van Walraven C, Seth R, Austin PC, Laupacis A. Effect of discharge summary availability during post-discharge visits on hospital readmission. J Gen Intern Med. 2002;17:186-192. PubMed

12. Kashiwagi DT, Burton MC, Kirkland LL, Cha S, Varkey P. Do timely outpatient follow-up visits decrease hospital readmission rates? Am J Med Qual. 2012;27:11-15. PubMed

13. Coller RJ, Klitzner TS, Lerner CF, Chung PJ. Predictors of 30-day readmission and association with primary care follow-up plans. J Pediatr. 2013;163:1027-1033. PubMed

14. Feudtner C, Pati S, Goodman DM, et al. State-level child health system performance and the likelihood of readmission to children’s hospitals. J Pediatr. 2010;157:98-102. PubMed

15. Brittan MS, Sills MR, Fox D, et al. Outpatient follow-up visits and readmission in medically complex children enrolled in Medicaid. J Pediatr. 2015;166:998-1005. PubMed

16. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397. PubMed

17. Coller RJ, Klitzner TS, Saenz AA, Lerner CF, Nelson BB, Chung PJ. The medical home and hospital readmissions. Pediatrics. 2015;136:e1550-e1560. PubMed

18. Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann Intern Med. 2004;141:533-536. PubMed

19. Coleman EA, Boult C; American Geriatrics Society Health Care Systems Committee. Improving the quality of transitional care for persons with complex care needs. J Am Geriatr Soc. 2003;51:556-557. PubMed

20. Berry JG, Hall DE, Kuo DZ, et al. Hospital utilization and characteristics of patients experiencing recurrent readmissions within children’s hospitals. JAMA. 2011;305:682-690. PubMed

21. Feudtner C, Levin JE, Srivastava R, et al. How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study. Pediatrics. 2009;123:286-293. PubMed

22. Feudtner C, Christakis DA, Connell FA. Pediatric deaths attributable to complex chronic conditions: a population-based study of Washington State, 1980-1997. Pediatrics. 2000;106:205-209. PubMed

23. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. PubMed

24. Berry JG, Agrawal R, Kuo DZ, et al. Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J  Pediatr. 2011;159:284-290. PubMed

25. Kuo DZ, Cohen E, Agrawal R, Berry JG, Casey PH. A national profile of caregiver challenges among more medically complex children with special health care needs. Arch Pediatr Adolesc Med. 2011;165:1020-1026. PubMed

26. Parry C, Mahoney E, Chalmers SA, Coleman EA. Assessing the quality of transitional care: further applications of the care transitions measure. Med Care. 2008;46:317-322. PubMed

27. Coleman EA, Mahoney E, Parry C. Assessing the quality of preparation for posthospital care from the patient’s perspective: the care transitions measure. Med Care. 2005;43:246-255. PubMed

28. Berry JG, Ziniel SI, Freeman L, et al. Hospital readmission and parent perceptions of their child’s hospital discharge. Int J Qual Health Care. 2013;25:573-581. PubMed

29. 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;16:136-144. PubMed

30. Weiss ME, Bobay KL, Bahr SJ, Costa L, Hughes RG, Holland DE. A model for hospital discharge preparation: from case management to care transition. J Nurs Adm. 2015;45:606-614. PubMed

31. Sills MR, Hall M, Colvin JD, et al. Association of social determinants with children’s hospitals’ preventable readmissions performance. JAMA Pediatr. 2016;170:350-358. PubMed

32. Toomey SL, Zaslavsky AM, Elliott MN, et al. The development of a pediatric inpatient experience of care measure: child HCAHPS. Pediatrics. 2015;136:360-369. PubMed

33. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA. 2007;297:831-841. PubMed

34. Harlan G, Srivastava R, Harrison L, McBride G, Maloney C. Pediatric hospitalists and primary care providers: a communication needs assessment. J Hosp Med. 2009;4:187-193. PubMed

35. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170:345-349. PubMed

36. Nakamura MM, Toomey SL, Zaslavsky AM, et al. Measuring pediatric hospital readmission rates to drive quality improvement. Acad Pediatr. 2014;14:S39-S46. PubMed

37. Smith K. Effective communication with primary care providers. Pediatr Clin North Am. 2014;61671-679. PubMed

38. Leyenaar JK, Bergert L, Mallory LA, et al. Pediatric primary care providers’ perspectives regarding hospital discharge communication: a mixed methods analysis. Acad Pediatr. 2015;15:61-68. PubMed

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Although much has been written about pediatric discharge and readmissions1-5 over the past several years, surprisingly little is known about which care practices are most effective at preventing postdischarge utilization.5 Major collaborations across the U.S. are currently focused on improving pediatric discharge processes,6-8 although the impact that these efforts will have on readmissions remains to be seen.

Research on handoffs between hospitals and primary care has mixed associations with postdischarge utilization. Although some studies observe positive relationships between specific activities and reduced postdischarge utilization,1 others suggest no relationship9-12 or, paradoxically, more utilization.13,14 Brittan et al15 found that outpatient visits were associated with more readmissions when occurring less than 4 days after discharge, but fewer readmissions when occurring 4 days to  29 days after discharge. Most studies, however, investigate single or limited sets of care activities, such as having an outpatient visit,15 timeliness of that visit,16 or receipt of a discharge summary.11 Inclusion of a more comprehensive set of hospital- to primary-care communication practices may better unravel this complex relationship between discharge care and postdischarge outcomes for children.

The purpose of this study was to characterize a set of traditional discharge handoff practices between hospital and primary care providers (PCPs) and to explore their relationships to readmissions. We hypothesized that handoff practices would be associated with fewer unplanned readmissions.

METHODS

Study Design, Setting, Participants

This project was part of a prospective cohort study with 2 aims: to investigate relationships between medical home experience and postdischarge utilization,17 and to identify relationships between common discharge communication practices and postdischarge utilization. This manuscript is focused on the second aim. Randomly selected pediatric patients and their caregivers were enrolled from any medical or surgical service during an acute hospitalization lasting more than 24 hours from October 1, 2012 to January 1, 2014, at a 100-bed tertiary children’s hospital. Patients who transferred to another facility, died, were older than 18 years or in neonatal care (ie, newborn nursery or neonatal intensive care unit) were excluded since their discharge experiences would be significantly distinct from the population of interest. Patients were enrolled once in the study.

Outcome

The study’s primary outcome was 30-day unplanned readmissions, defined as a hospitalization occurring within 30 days of the index (ie, study enrollment) hospitalization, identified through caregiver report or administrative sources.17 Although the study site is a single hospital system, readmissions could have occurred to any hospital reported by caregivers, (ie, readmissions could have occurred within or outside our health system). Readmissions for chemotherapy, radiation, dialysis, rehabilitation, or labor and delivery were excluded. If caregivers reported an admission as planned or chart review of the index discharge summary noted that a rehospitalization was scheduled in the subsequent 30 days, the readmission was labeled “planned” and excluded. 

Discharge Handoff Communication

Transitional care is a set of actions designed to ensure continuity and coordination of healthcare during transfer from 1 location or level of care to another.18,19 The study team, comprised of a division chief of general pediatrics, a division chief of hospital medicine, 2 departmental vice-chairs, and the medical director for quality at the study site, identified 11 common handoff activities and reporting sources. These consensus-based activities were expected by the study team to improve continuity and coordination during hospital-to-home transfer, and included:

  • verifying PCP identity during the hospitalization (caregiver report); 
  • notifying the PCP of admission, discharge, and providing updates during the hospitalization (PCP report); 
  • PCP follow-up appointment set prior to discharge (caregiver report); 
  • documenting planned PCP and subspecialty follow-up in the discharge summary (chart review); 
  • completing the discharge summary within 48 hours (chart review); 
  • providing a verbal or written handoff to the PCP prior to follow-up (PCP report); and 
  • having a PCP follow-up visit within 30 days of discharge (caregiver report). 

We also asked PCPs whether they thought the follow-up interval was appropriate and whether phone follow-up with the patient would have been as appropriate as a face-to-face visit. 

Covariates

Patient demographics that might confound the relationship between handoff practices and readmissions based on pediatric research20,21 were included. Medical complexity was accounted for by length-of-index stay, the number of hospitalizations and emergency department (ED) visits in past 12 months, complex chronic conditions,22,23 and seeing 3 or more subspecialists.24,25 Variables from related work included PCP scope (general pediatrics or subspecialist) and presence of a usual source for well and sick care.17

The Care Transitions Measure-3 (CTM-3), originally developed to assess the patient-centeredness of hospital transition,26,27 can discriminate adult patients at risk for readmission.26 We adapted the original CTM-3 to be answered by caregiver respondents after pilot testing with 5 caregivers not enrolled in the study: 1) “The hospital staff took my preferences and those of my family into account in deciding what my child’s health care needs would be when I left the hospital;” 2) “When I left the hospital, I had a good understanding of the things I was responsible for in managing my child’s health;” and 3) “When I left the hospital, I clearly understood the purpose for giving each of my child’s medications.” We analyzed the adapted CTM-3 on a transformed 0-100 scale as designed,26 initially hypothesizing that the CTM-3 would mediate the relationship between handoff practices and readmissions.

We assessed caregiver confidence to avoid a readmission, based on a strong independent association with readmissions described in Coller et al.17 Using questions developed for this study, caregivers were asked to rate “How confident are you that [child’s name] will stay out of the hospital for the next 30 days?” with instructions to refer to unplanned hospital visits only. Responses were reported on a 4-point Likert scale (1 = very confident, 4 = not very confident). Responses were dichotomized into very confident (ie, “1”) or not very confident (ie, “2-4”).

Enrollment and Data Collection

Computer-generated random numbers were assigned to patients admitted the previous day, and families were enrolled sequentially until the daily enrollment target was reached. Data were obtained from 3 sources: medical record, caregiver report, and PCP report. Trained research assistants systematically extracted chart review data documenting the transitions practices above, while a hospital information technology analyst extracted claims and demographic data to complement what was reported by parents and PCPs. After study conclusion, these medical record data were merged with caregiver and PCP-reported data.

Trained bilingual research assistants collected caregiver- and PCP-reported data using structured questionnaires in English or Spanish, according to preference. Timing of data collection differed by data source; caregiver-reported data were collected immediately after discharge and at 30 days postdischarge; PCP-reported data were collected at 30 days postdischarge. 

Caregiver-reported data were collected through 2 separate phone calls following index discharge: immediately after discharge (caregiver confidence and CTM-3 measures) and at 30 days (readmission measures). Caregiver confidence questions were asked after (rather than immediately before) discharge to avoid biasing clinical care and revisit risk, consistent with previous work.28 

PCP-reported data were collected using structured questionnaires with the PCP who was identified by the family during study enrollment. PCP-reported data were collected by telephone or fax 30 days after discharge, with up to 5 telephone attempts and 3 fax attempts. At the beginning of the questionnaire, PCPs were asked if they agreed with the designation, although they were asked to complete the questionnaire regardless. 

Analyses

Descriptive statistics compared differences in handoff practices and 30-day unplanned readmissions. Exploratory factor analysis assessed whether certain handoff practices were sufficiently correlated to allow grouping of items and construction of scales. Relationships between handoff practices and readmissions were examined using bivariate, followed by multivariate, logistic regression adjusting for the covariates described. Collinearity was tested before constructing final models. Because no relationship was observed between CTM-3 and readmissions, additional mediation analyses were not pursued. All analyses were completed using STATA (SE version 14.0, StataCorp LP, College Station, Texas). This study was approved by the Institutional Review Boards at UCLA (study site) and University of Wisconsin (lead author site).

RESULTS

This study enrolled 701 of 816 eligible participants (85.9%) between October 2012 and January 2014. More than 99% of administrative data and 97% of caregiver questionnaires were complete. Of 685 patients with a reported PCP, we obtained responses from 577 PCPs (84.2%). Patient characteristics and outcomes were not significantly different for patients with and without a responding PCP; however, patients of nonresponding PCPs were more often publicly insured (64.5% vs. 48.2% for responding PCPs, P = 0.004) or seen by a subspecialist as opposed to a generalist (28.1% vs. 13.8% for responding PCPs, P = 0.001). 

The overall population characteristics are summarized in Table 1: 27.4% of the cohort was younger 2 years, 49.2% were Hispanic, and the majority (51.1%) had public insurance. The average length of the index hospitalization for the overall population was 4.8 days (standard deviation = 9.6), and 53.5% had at least 1 complex chronic condition. Eighty-four percent of the cohort reported using a generalist (vs. subspecialist) for primary care. 

Pediatric Patient Characteristics and Unplanned Readmissions
Table 1

Discharge Handoff Communication

Practices varied widely (Figure 1a). Verbal handoffs between hospital-based and PCPs were least common (10.7%), whereas discharge summary completion within 48 hours was most common (84.9%). Of variables measuring direct communication with PCPs, only notification of admission occurred at least half the time (50.8%). 

Exploratory factor analysis identified 5 well-correlated items (Cronbach α = 0.77), which were combined and labeled the Hospital and Primary Care Provider Communication scale (Figure 1b). Items included PCP notification of admission, discharge, and receipt of updates during hospitalization, as well as receipt of verbal and written handoffs prior to follow-up. While these 5 items were analyzed only in this scale, other practices were analyzed as independent variables. In this assessment, 42.1% of patients had a scale score of 0 (no items performed), while 5% had all 5 items completed 

Handoff Communications Practices
Figure 1A-1B

Readmissions

The 30-day unplanned readmission rate to any hospital was 12.4%. Demographic characteristics were similar in patients with and without an unplanned readmission (Table 1); however, patients with a readmission were more often younger (P = 0.03) and used a subspecialist for primary care (P = 0.03). Fewer than 60% of those with an unplanned readmission had a usual source of sick and well care compared with 77.5% of those without a readmission (P < 0.001). The length of index stay was nearly 4 days longer for those with an unplanned readmission (9.3 days vs. 4.4 days, P < 0.001). These patients also had more hospitalizations or ED visits in the past year (P = 0.002 and P = 0.04, respectively) and saw more subspecialists (P < 0.001). 

Handoff Communications Practices and Unplanned Readmissions
Table 2

Frequencies of communication practices between those with and without an unplanned readmission are illustrated in Table 2. Nearly three-quarters of caregivers whose children were readmitted reported having follow-up appointments scheduled before discharge, compared to 48.9% without a readmission (P < 0.001). In 71% of discharges followed by a readmission, caregivers were not very confident about avoiding readmission, vs. 44.8% of discharges with no readmission (P < 0.001). 

Readmissions were largely unrelated to handoff practices in multivariate analyses (Table 3). Having a follow-up visit scheduled prior to discharge was the only activity with a statistically significant association; however, it was actually associated with more than double the odds of readmission (adjusted odds ratio 2.20, 95% confidence interval 1.08-4.46). 

Handoff Communications Practices and Multivariate Associations
Table 3

DISCUSSION

The complex nature of hospital discharge care has led to general optimism that improved handoff processes might reduce readmissions for pediatric patients. Although the current literature linking transition practices to readmissions in pediatrics has mixed results,1,4,5 most studies are fragmented—investigating a single or small number of transitional care activities, such as outpatient follow-up visits, postdischarge caregiver phone calls, or PCP receipt of discharge summaries. Despite finding limited relationships with readmissions, a strength of our study was its inclusion of a more comprehensive set of traditional communication practices that the study team anticipates many primary care and hospital medicine providers would expect to be carried out for most, if not all, patients during the hospital-to-home transition. 

Although our study was developed earlier, the variables in our analyses align with each domain of the conceptual model for readmission risk proposed by the Seamless Transitions and Re(admissions) Network (STARNet).6 This model identifies 7 elements believed to directly impact readmission risk in children: hospital and ED utilization, underlying diseases, ability to care for diseases, access to outpatient care, discharge processes, and discharge readiness. For example, our study included ED and hospital visits in the past year, complex chronic conditions, number of subspecialists, caregiver confidence, having a usual source of care, insurance status, and the 11 consensus-based handoff practices identified by our study team. Therefore, although the included handoff practices we included were a limited set, our models provide a relatively comprehensive analysis of readmission risk, confirming caregiver confidence, usual source of care, and hospitalizations to be associated with unplanned readmissions.

With the exception of having scheduled follow-up appointments before discharge – which was associated with more rather than fewer readmissions—the included care practices were not associated with readmissions. We suspect that these findings likely represent selection bias, with hospital providers taking additional steps in communicating with outpatient providers when they are most concerned about a patient’s vulnerability at discharge, eg, due to severity of illness, sociodemographics, health literacy, access to care, or other factors. Such selection bias could have 2 potential effects: (1) creating associations between the performance of certain handoff practices and higher readmission risk (eg, hospital providers are more likely to set follow-up appointments with the sickest patients who are also most likely to be readmitted, or (2) negating weakly effective communication practices that have small effect sizes. The currently mixed literature suggests that if associations between these handoff practices and postdischarge outcomes exist, they are often opposite to our expectation and likely driven by selection bias. If there are real effects that are hidden by this selection bias, they may be weak or inconsistent.

Recent qualitative research highlights the needs and preferences of caregivers of children with chronic or complex conditions to promote their sense of self-efficacy at discharge.29 Such needs include support from within and beyond the health system, comprehensive discharge education, and written instructions, ultimately leading to confidence and comfort in executing the home-management plan. Consistent with our work,17 a strong independent relationship between caregiver confidence and postdischarge outcomes remained even after accounting for these conventional handoff activities. 

Transitions research in pediatrics has started only recently to move beyond traditional handoff communication between hospital and outpatient providers. Over the last several years, more ambitious conceptualizations of hospital discharge care have evolved2 and include constructs such as family-centeredness,4,28,29 discharge readiness,30 and social determinants of health.31 Interventions targeting these constructs are largely missing from the literature and are greatly needed. If transitions are to have an effect on downstream utilization, their focus likely needs to evolve to address such areas.

Finally, our study underscores the need to identify relevant outcomes of improved transitional care. Although the preventability of postdischarge utilization continues to be debated, most would agree that this should not detract from the importance of high-quality transitional care. The STARNet collaborative provides some examples of outcomes potentially impacted through improved transitional care,6 although the authors note that reliability, validity, and feasibility of the measures are not well understood. High-quality transitional care presumably would lead to improvements in patient and family experience and perhaps safer care. Although caregiver experience measured by an adapted CTM-3 was neither a mediator nor a predictor of postdischarge utilization for children in our study, use of more rigorously developed tools for pediatric patients32 may provide a better assessment of caregiver experience. Finally, given the well-described risks of poor communication between hospital and outpatient providers,33-35 safety events may be a better outcome of high-quality transitional care than readmissions. Investment in transitional care initiatives would be well justified if the positive patient, provider, and health system impacts can be better demonstrated through improved outcomes.

Future readmissions research should aim to accomplish several goals. Because observational studies will continue to be challenged by the selection biases described above, more rigorously designed and controlled experimental pediatric studies are needed. Family, social, and primary care characteristics should continue to be incorporated into pediatric readmission analyses given their increasingly recognized critical role. These variables, some of which could be modifiable, might represent potential targets for innovative readmission reduction interventions. Recently published conceptual models6,29,36 provide a useful starting framework. 

Limitations

Because of the observational study design, we cannot draw conclusions about causal relationships between handoff practices and the measured outcomes. The tertiary care single-center nature of the study limits generalizability. Response biases are possible given that we often could not verify accuracy of PCP and caregiver responses. As noted above, we suspect that handoff practices were driven by important selection bias, not all of which could be controlled by the measured patient and clinical characteristics. The handoff practices included in this study were a limited set primarily focused on communication between hospital providers and PCPs. Therefore, the study does not rule out the possibility that other aspects of transitional care may reduce readmissions. Subsequent work investigating innovative interventions may find reductions in readmissions and other important outcomes. Additionally, not all practices have standardized definitions, eg, what 1 PCP considers a verbal handoff may be different from that of another provider. Although we assessed whether communication occurred, we were not able to assess the content or quality of communication, which may have important implications for its effectiveness.37,38 

CONCLUSION

Improvements in handoffs between hospital and PCPs may have an important impact on postdischarge outcomes, but it is not clear that unplanned 30-day readmissions is among them. Efforts to reduce postdischarge utilization, if possible, likely need to focus on broader constructs such as caregiver self-efficacy, discharge readiness, and social determinants of health.

Disclosures

This study was supported by a grant from the Lucile Packard Foundation for Children’s Health, Palo Alto, California, as well as grant R40MC25677 Maternal and Child Health Research Program, Maternal and Child Health Bureau (Title V, Social Security Act), Health Resources and Services Administration, Department of Health and Human Services. The authors report no financial conflicts of interest.

Although much has been written about pediatric discharge and readmissions1-5 over the past several years, surprisingly little is known about which care practices are most effective at preventing postdischarge utilization.5 Major collaborations across the U.S. are currently focused on improving pediatric discharge processes,6-8 although the impact that these efforts will have on readmissions remains to be seen.

Research on handoffs between hospitals and primary care has mixed associations with postdischarge utilization. Although some studies observe positive relationships between specific activities and reduced postdischarge utilization,1 others suggest no relationship9-12 or, paradoxically, more utilization.13,14 Brittan et al15 found that outpatient visits were associated with more readmissions when occurring less than 4 days after discharge, but fewer readmissions when occurring 4 days to  29 days after discharge. Most studies, however, investigate single or limited sets of care activities, such as having an outpatient visit,15 timeliness of that visit,16 or receipt of a discharge summary.11 Inclusion of a more comprehensive set of hospital- to primary-care communication practices may better unravel this complex relationship between discharge care and postdischarge outcomes for children.

The purpose of this study was to characterize a set of traditional discharge handoff practices between hospital and primary care providers (PCPs) and to explore their relationships to readmissions. We hypothesized that handoff practices would be associated with fewer unplanned readmissions.

METHODS

Study Design, Setting, Participants

This project was part of a prospective cohort study with 2 aims: to investigate relationships between medical home experience and postdischarge utilization,17 and to identify relationships between common discharge communication practices and postdischarge utilization. This manuscript is focused on the second aim. Randomly selected pediatric patients and their caregivers were enrolled from any medical or surgical service during an acute hospitalization lasting more than 24 hours from October 1, 2012 to January 1, 2014, at a 100-bed tertiary children’s hospital. Patients who transferred to another facility, died, were older than 18 years or in neonatal care (ie, newborn nursery or neonatal intensive care unit) were excluded since their discharge experiences would be significantly distinct from the population of interest. Patients were enrolled once in the study.

Outcome

The study’s primary outcome was 30-day unplanned readmissions, defined as a hospitalization occurring within 30 days of the index (ie, study enrollment) hospitalization, identified through caregiver report or administrative sources.17 Although the study site is a single hospital system, readmissions could have occurred to any hospital reported by caregivers, (ie, readmissions could have occurred within or outside our health system). Readmissions for chemotherapy, radiation, dialysis, rehabilitation, or labor and delivery were excluded. If caregivers reported an admission as planned or chart review of the index discharge summary noted that a rehospitalization was scheduled in the subsequent 30 days, the readmission was labeled “planned” and excluded. 

Discharge Handoff Communication

Transitional care is a set of actions designed to ensure continuity and coordination of healthcare during transfer from 1 location or level of care to another.18,19 The study team, comprised of a division chief of general pediatrics, a division chief of hospital medicine, 2 departmental vice-chairs, and the medical director for quality at the study site, identified 11 common handoff activities and reporting sources. These consensus-based activities were expected by the study team to improve continuity and coordination during hospital-to-home transfer, and included:

  • verifying PCP identity during the hospitalization (caregiver report); 
  • notifying the PCP of admission, discharge, and providing updates during the hospitalization (PCP report); 
  • PCP follow-up appointment set prior to discharge (caregiver report); 
  • documenting planned PCP and subspecialty follow-up in the discharge summary (chart review); 
  • completing the discharge summary within 48 hours (chart review); 
  • providing a verbal or written handoff to the PCP prior to follow-up (PCP report); and 
  • having a PCP follow-up visit within 30 days of discharge (caregiver report). 

We also asked PCPs whether they thought the follow-up interval was appropriate and whether phone follow-up with the patient would have been as appropriate as a face-to-face visit. 

Covariates

Patient demographics that might confound the relationship between handoff practices and readmissions based on pediatric research20,21 were included. Medical complexity was accounted for by length-of-index stay, the number of hospitalizations and emergency department (ED) visits in past 12 months, complex chronic conditions,22,23 and seeing 3 or more subspecialists.24,25 Variables from related work included PCP scope (general pediatrics or subspecialist) and presence of a usual source for well and sick care.17

The Care Transitions Measure-3 (CTM-3), originally developed to assess the patient-centeredness of hospital transition,26,27 can discriminate adult patients at risk for readmission.26 We adapted the original CTM-3 to be answered by caregiver respondents after pilot testing with 5 caregivers not enrolled in the study: 1) “The hospital staff took my preferences and those of my family into account in deciding what my child’s health care needs would be when I left the hospital;” 2) “When I left the hospital, I had a good understanding of the things I was responsible for in managing my child’s health;” and 3) “When I left the hospital, I clearly understood the purpose for giving each of my child’s medications.” We analyzed the adapted CTM-3 on a transformed 0-100 scale as designed,26 initially hypothesizing that the CTM-3 would mediate the relationship between handoff practices and readmissions.

We assessed caregiver confidence to avoid a readmission, based on a strong independent association with readmissions described in Coller et al.17 Using questions developed for this study, caregivers were asked to rate “How confident are you that [child’s name] will stay out of the hospital for the next 30 days?” with instructions to refer to unplanned hospital visits only. Responses were reported on a 4-point Likert scale (1 = very confident, 4 = not very confident). Responses were dichotomized into very confident (ie, “1”) or not very confident (ie, “2-4”).

Enrollment and Data Collection

Computer-generated random numbers were assigned to patients admitted the previous day, and families were enrolled sequentially until the daily enrollment target was reached. Data were obtained from 3 sources: medical record, caregiver report, and PCP report. Trained research assistants systematically extracted chart review data documenting the transitions practices above, while a hospital information technology analyst extracted claims and demographic data to complement what was reported by parents and PCPs. After study conclusion, these medical record data were merged with caregiver and PCP-reported data.

Trained bilingual research assistants collected caregiver- and PCP-reported data using structured questionnaires in English or Spanish, according to preference. Timing of data collection differed by data source; caregiver-reported data were collected immediately after discharge and at 30 days postdischarge; PCP-reported data were collected at 30 days postdischarge. 

Caregiver-reported data were collected through 2 separate phone calls following index discharge: immediately after discharge (caregiver confidence and CTM-3 measures) and at 30 days (readmission measures). Caregiver confidence questions were asked after (rather than immediately before) discharge to avoid biasing clinical care and revisit risk, consistent with previous work.28 

PCP-reported data were collected using structured questionnaires with the PCP who was identified by the family during study enrollment. PCP-reported data were collected by telephone or fax 30 days after discharge, with up to 5 telephone attempts and 3 fax attempts. At the beginning of the questionnaire, PCPs were asked if they agreed with the designation, although they were asked to complete the questionnaire regardless. 

Analyses

Descriptive statistics compared differences in handoff practices and 30-day unplanned readmissions. Exploratory factor analysis assessed whether certain handoff practices were sufficiently correlated to allow grouping of items and construction of scales. Relationships between handoff practices and readmissions were examined using bivariate, followed by multivariate, logistic regression adjusting for the covariates described. Collinearity was tested before constructing final models. Because no relationship was observed between CTM-3 and readmissions, additional mediation analyses were not pursued. All analyses were completed using STATA (SE version 14.0, StataCorp LP, College Station, Texas). This study was approved by the Institutional Review Boards at UCLA (study site) and University of Wisconsin (lead author site).

RESULTS

This study enrolled 701 of 816 eligible participants (85.9%) between October 2012 and January 2014. More than 99% of administrative data and 97% of caregiver questionnaires were complete. Of 685 patients with a reported PCP, we obtained responses from 577 PCPs (84.2%). Patient characteristics and outcomes were not significantly different for patients with and without a responding PCP; however, patients of nonresponding PCPs were more often publicly insured (64.5% vs. 48.2% for responding PCPs, P = 0.004) or seen by a subspecialist as opposed to a generalist (28.1% vs. 13.8% for responding PCPs, P = 0.001). 

The overall population characteristics are summarized in Table 1: 27.4% of the cohort was younger 2 years, 49.2% were Hispanic, and the majority (51.1%) had public insurance. The average length of the index hospitalization for the overall population was 4.8 days (standard deviation = 9.6), and 53.5% had at least 1 complex chronic condition. Eighty-four percent of the cohort reported using a generalist (vs. subspecialist) for primary care. 

Pediatric Patient Characteristics and Unplanned Readmissions
Table 1

Discharge Handoff Communication

Practices varied widely (Figure 1a). Verbal handoffs between hospital-based and PCPs were least common (10.7%), whereas discharge summary completion within 48 hours was most common (84.9%). Of variables measuring direct communication with PCPs, only notification of admission occurred at least half the time (50.8%). 

Exploratory factor analysis identified 5 well-correlated items (Cronbach α = 0.77), which were combined and labeled the Hospital and Primary Care Provider Communication scale (Figure 1b). Items included PCP notification of admission, discharge, and receipt of updates during hospitalization, as well as receipt of verbal and written handoffs prior to follow-up. While these 5 items were analyzed only in this scale, other practices were analyzed as independent variables. In this assessment, 42.1% of patients had a scale score of 0 (no items performed), while 5% had all 5 items completed 

Handoff Communications Practices
Figure 1A-1B

Readmissions

The 30-day unplanned readmission rate to any hospital was 12.4%. Demographic characteristics were similar in patients with and without an unplanned readmission (Table 1); however, patients with a readmission were more often younger (P = 0.03) and used a subspecialist for primary care (P = 0.03). Fewer than 60% of those with an unplanned readmission had a usual source of sick and well care compared with 77.5% of those without a readmission (P < 0.001). The length of index stay was nearly 4 days longer for those with an unplanned readmission (9.3 days vs. 4.4 days, P < 0.001). These patients also had more hospitalizations or ED visits in the past year (P = 0.002 and P = 0.04, respectively) and saw more subspecialists (P < 0.001). 

Handoff Communications Practices and Unplanned Readmissions
Table 2

Frequencies of communication practices between those with and without an unplanned readmission are illustrated in Table 2. Nearly three-quarters of caregivers whose children were readmitted reported having follow-up appointments scheduled before discharge, compared to 48.9% without a readmission (P < 0.001). In 71% of discharges followed by a readmission, caregivers were not very confident about avoiding readmission, vs. 44.8% of discharges with no readmission (P < 0.001). 

Readmissions were largely unrelated to handoff practices in multivariate analyses (Table 3). Having a follow-up visit scheduled prior to discharge was the only activity with a statistically significant association; however, it was actually associated with more than double the odds of readmission (adjusted odds ratio 2.20, 95% confidence interval 1.08-4.46). 

Handoff Communications Practices and Multivariate Associations
Table 3

DISCUSSION

The complex nature of hospital discharge care has led to general optimism that improved handoff processes might reduce readmissions for pediatric patients. Although the current literature linking transition practices to readmissions in pediatrics has mixed results,1,4,5 most studies are fragmented—investigating a single or small number of transitional care activities, such as outpatient follow-up visits, postdischarge caregiver phone calls, or PCP receipt of discharge summaries. Despite finding limited relationships with readmissions, a strength of our study was its inclusion of a more comprehensive set of traditional communication practices that the study team anticipates many primary care and hospital medicine providers would expect to be carried out for most, if not all, patients during the hospital-to-home transition. 

Although our study was developed earlier, the variables in our analyses align with each domain of the conceptual model for readmission risk proposed by the Seamless Transitions and Re(admissions) Network (STARNet).6 This model identifies 7 elements believed to directly impact readmission risk in children: hospital and ED utilization, underlying diseases, ability to care for diseases, access to outpatient care, discharge processes, and discharge readiness. For example, our study included ED and hospital visits in the past year, complex chronic conditions, number of subspecialists, caregiver confidence, having a usual source of care, insurance status, and the 11 consensus-based handoff practices identified by our study team. Therefore, although the included handoff practices we included were a limited set, our models provide a relatively comprehensive analysis of readmission risk, confirming caregiver confidence, usual source of care, and hospitalizations to be associated with unplanned readmissions.

With the exception of having scheduled follow-up appointments before discharge – which was associated with more rather than fewer readmissions—the included care practices were not associated with readmissions. We suspect that these findings likely represent selection bias, with hospital providers taking additional steps in communicating with outpatient providers when they are most concerned about a patient’s vulnerability at discharge, eg, due to severity of illness, sociodemographics, health literacy, access to care, or other factors. Such selection bias could have 2 potential effects: (1) creating associations between the performance of certain handoff practices and higher readmission risk (eg, hospital providers are more likely to set follow-up appointments with the sickest patients who are also most likely to be readmitted, or (2) negating weakly effective communication practices that have small effect sizes. The currently mixed literature suggests that if associations between these handoff practices and postdischarge outcomes exist, they are often opposite to our expectation and likely driven by selection bias. If there are real effects that are hidden by this selection bias, they may be weak or inconsistent.

Recent qualitative research highlights the needs and preferences of caregivers of children with chronic or complex conditions to promote their sense of self-efficacy at discharge.29 Such needs include support from within and beyond the health system, comprehensive discharge education, and written instructions, ultimately leading to confidence and comfort in executing the home-management plan. Consistent with our work,17 a strong independent relationship between caregiver confidence and postdischarge outcomes remained even after accounting for these conventional handoff activities. 

Transitions research in pediatrics has started only recently to move beyond traditional handoff communication between hospital and outpatient providers. Over the last several years, more ambitious conceptualizations of hospital discharge care have evolved2 and include constructs such as family-centeredness,4,28,29 discharge readiness,30 and social determinants of health.31 Interventions targeting these constructs are largely missing from the literature and are greatly needed. If transitions are to have an effect on downstream utilization, their focus likely needs to evolve to address such areas.

Finally, our study underscores the need to identify relevant outcomes of improved transitional care. Although the preventability of postdischarge utilization continues to be debated, most would agree that this should not detract from the importance of high-quality transitional care. The STARNet collaborative provides some examples of outcomes potentially impacted through improved transitional care,6 although the authors note that reliability, validity, and feasibility of the measures are not well understood. High-quality transitional care presumably would lead to improvements in patient and family experience and perhaps safer care. Although caregiver experience measured by an adapted CTM-3 was neither a mediator nor a predictor of postdischarge utilization for children in our study, use of more rigorously developed tools for pediatric patients32 may provide a better assessment of caregiver experience. Finally, given the well-described risks of poor communication between hospital and outpatient providers,33-35 safety events may be a better outcome of high-quality transitional care than readmissions. Investment in transitional care initiatives would be well justified if the positive patient, provider, and health system impacts can be better demonstrated through improved outcomes.

Future readmissions research should aim to accomplish several goals. Because observational studies will continue to be challenged by the selection biases described above, more rigorously designed and controlled experimental pediatric studies are needed. Family, social, and primary care characteristics should continue to be incorporated into pediatric readmission analyses given their increasingly recognized critical role. These variables, some of which could be modifiable, might represent potential targets for innovative readmission reduction interventions. Recently published conceptual models6,29,36 provide a useful starting framework. 

Limitations

Because of the observational study design, we cannot draw conclusions about causal relationships between handoff practices and the measured outcomes. The tertiary care single-center nature of the study limits generalizability. Response biases are possible given that we often could not verify accuracy of PCP and caregiver responses. As noted above, we suspect that handoff practices were driven by important selection bias, not all of which could be controlled by the measured patient and clinical characteristics. The handoff practices included in this study were a limited set primarily focused on communication between hospital providers and PCPs. Therefore, the study does not rule out the possibility that other aspects of transitional care may reduce readmissions. Subsequent work investigating innovative interventions may find reductions in readmissions and other important outcomes. Additionally, not all practices have standardized definitions, eg, what 1 PCP considers a verbal handoff may be different from that of another provider. Although we assessed whether communication occurred, we were not able to assess the content or quality of communication, which may have important implications for its effectiveness.37,38 

CONCLUSION

Improvements in handoffs between hospital and PCPs may have an important impact on postdischarge outcomes, but it is not clear that unplanned 30-day readmissions is among them. Efforts to reduce postdischarge utilization, if possible, likely need to focus on broader constructs such as caregiver self-efficacy, discharge readiness, and social determinants of health.

Disclosures

This study was supported by a grant from the Lucile Packard Foundation for Children’s Health, Palo Alto, California, as well as grant R40MC25677 Maternal and Child Health Research Program, Maternal and Child Health Bureau (Title V, Social Security Act), Health Resources and Services Administration, Department of Health and Human Services. The authors report no financial conflicts of interest.

References

 

1. Auger KA, Kenyon CC, Feudtner C, Davis MM. Pediatric hospital discharge interventions to reduce subsequent utilization: a systematic review. J Hosp Med. 2014;9:251-260. PubMed

2. Berry JG, Blaine K, Rogers J, et al. A framework of pediatric hospital discharge care informed by legislation, research, and practice. JAMA Pediatr. 2014;168:955-962; quiz 965-956. PubMed

3. Snow V, Beck D, Budnitz T, et al, American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. Transitions of Care Consensus Policy Statement. American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. J Gen Intern Med. 2009;24:971-976. PubMed

4. Desai AD, Popalisky J, Simon TD, Mangione-Smith RM. The effectiveness of family-centered transition processes from hospital settings to home: a review of the literature. Hosp Pediatr. 2015;5:219-231. PubMed

5. Berry JG, Gay JC. Preventing readmissions in children: how do we do that? Hosp Pediatr. 2015;5:602-604. PubMed

6. Auger KA, Simon TD, Cooperberg D, et al. Summary of STARNet: Seamless Transitions and (Re)admissions Network. Pediatrics. 2015;135:164-175. PubMed

7. Value in inpatient pediatrics network projects. American Academy of Pediatrics. Available at: https://www.aap.org/en-us/professional-resources/quality-improvement/Quality-Improvement-Innovation-Networks/Value-in-Inpatient-Pediatrics-Network/Pages/Value-in-Inpatient-Pediatrics-Network.aspx. Accessed May 18, 2015.

8. Ohio Children’s Hospitals. Solutions for patient safety. Available at: http://www.solutionsforpatientsafety.org/about-us/our-goals/. Accessed May 18, 2015.

9. Bell CM, Schnipper JL, Auerbach AD, et al. Association of communication between hospital-based physicians and primary care providers with patient outcomes. J Gen Intern Med. 2009;24:381-386. PubMed

10. Oduyebo I, Lehmann CU, Pollack CE, et al. Association of self-reported hospital discharge handoffs with 30-day readmissions. JAMA Intern Med. 2013;173:624-629. PubMed

11. van Walraven C, Seth R, Austin PC, Laupacis A. Effect of discharge summary availability during post-discharge visits on hospital readmission. J Gen Intern Med. 2002;17:186-192. PubMed

12. Kashiwagi DT, Burton MC, Kirkland LL, Cha S, Varkey P. Do timely outpatient follow-up visits decrease hospital readmission rates? Am J Med Qual. 2012;27:11-15. PubMed

13. Coller RJ, Klitzner TS, Lerner CF, Chung PJ. Predictors of 30-day readmission and association with primary care follow-up plans. J Pediatr. 2013;163:1027-1033. PubMed

14. Feudtner C, Pati S, Goodman DM, et al. State-level child health system performance and the likelihood of readmission to children’s hospitals. J Pediatr. 2010;157:98-102. PubMed

15. Brittan MS, Sills MR, Fox D, et al. Outpatient follow-up visits and readmission in medically complex children enrolled in Medicaid. J Pediatr. 2015;166:998-1005. PubMed

16. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397. PubMed

17. Coller RJ, Klitzner TS, Saenz AA, Lerner CF, Nelson BB, Chung PJ. The medical home and hospital readmissions. Pediatrics. 2015;136:e1550-e1560. PubMed

18. Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann Intern Med. 2004;141:533-536. PubMed

19. Coleman EA, Boult C; American Geriatrics Society Health Care Systems Committee. Improving the quality of transitional care for persons with complex care needs. J Am Geriatr Soc. 2003;51:556-557. PubMed

20. Berry JG, Hall DE, Kuo DZ, et al. Hospital utilization and characteristics of patients experiencing recurrent readmissions within children’s hospitals. JAMA. 2011;305:682-690. PubMed

21. Feudtner C, Levin JE, Srivastava R, et al. How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study. Pediatrics. 2009;123:286-293. PubMed

22. Feudtner C, Christakis DA, Connell FA. Pediatric deaths attributable to complex chronic conditions: a population-based study of Washington State, 1980-1997. Pediatrics. 2000;106:205-209. PubMed

23. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. PubMed

24. Berry JG, Agrawal R, Kuo DZ, et al. Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J  Pediatr. 2011;159:284-290. PubMed

25. Kuo DZ, Cohen E, Agrawal R, Berry JG, Casey PH. A national profile of caregiver challenges among more medically complex children with special health care needs. Arch Pediatr Adolesc Med. 2011;165:1020-1026. PubMed

26. Parry C, Mahoney E, Chalmers SA, Coleman EA. Assessing the quality of transitional care: further applications of the care transitions measure. Med Care. 2008;46:317-322. PubMed

27. Coleman EA, Mahoney E, Parry C. Assessing the quality of preparation for posthospital care from the patient’s perspective: the care transitions measure. Med Care. 2005;43:246-255. PubMed

28. Berry JG, Ziniel SI, Freeman L, et al. Hospital readmission and parent perceptions of their child’s hospital discharge. Int J Qual Health Care. 2013;25:573-581. PubMed

29. 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;16:136-144. PubMed

30. Weiss ME, Bobay KL, Bahr SJ, Costa L, Hughes RG, Holland DE. A model for hospital discharge preparation: from case management to care transition. J Nurs Adm. 2015;45:606-614. PubMed

31. Sills MR, Hall M, Colvin JD, et al. Association of social determinants with children’s hospitals’ preventable readmissions performance. JAMA Pediatr. 2016;170:350-358. PubMed

32. Toomey SL, Zaslavsky AM, Elliott MN, et al. The development of a pediatric inpatient experience of care measure: child HCAHPS. Pediatrics. 2015;136:360-369. PubMed

33. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA. 2007;297:831-841. PubMed

34. Harlan G, Srivastava R, Harrison L, McBride G, Maloney C. Pediatric hospitalists and primary care providers: a communication needs assessment. J Hosp Med. 2009;4:187-193. PubMed

35. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170:345-349. PubMed

36. Nakamura MM, Toomey SL, Zaslavsky AM, et al. Measuring pediatric hospital readmission rates to drive quality improvement. Acad Pediatr. 2014;14:S39-S46. PubMed

37. Smith K. Effective communication with primary care providers. Pediatr Clin North Am. 2014;61671-679. PubMed

38. Leyenaar JK, Bergert L, Mallory LA, et al. Pediatric primary care providers’ perspectives regarding hospital discharge communication: a mixed methods analysis. Acad Pediatr. 2015;15:61-68. PubMed

References

 

1. Auger KA, Kenyon CC, Feudtner C, Davis MM. Pediatric hospital discharge interventions to reduce subsequent utilization: a systematic review. J Hosp Med. 2014;9:251-260. PubMed

2. Berry JG, Blaine K, Rogers J, et al. A framework of pediatric hospital discharge care informed by legislation, research, and practice. JAMA Pediatr. 2014;168:955-962; quiz 965-956. PubMed

3. Snow V, Beck D, Budnitz T, et al, American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. Transitions of Care Consensus Policy Statement. American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, Society of Academic Emergency Medicine. J Gen Intern Med. 2009;24:971-976. PubMed

4. Desai AD, Popalisky J, Simon TD, Mangione-Smith RM. The effectiveness of family-centered transition processes from hospital settings to home: a review of the literature. Hosp Pediatr. 2015;5:219-231. PubMed

5. Berry JG, Gay JC. Preventing readmissions in children: how do we do that? Hosp Pediatr. 2015;5:602-604. PubMed

6. Auger KA, Simon TD, Cooperberg D, et al. Summary of STARNet: Seamless Transitions and (Re)admissions Network. Pediatrics. 2015;135:164-175. PubMed

7. Value in inpatient pediatrics network projects. American Academy of Pediatrics. Available at: https://www.aap.org/en-us/professional-resources/quality-improvement/Quality-Improvement-Innovation-Networks/Value-in-Inpatient-Pediatrics-Network/Pages/Value-in-Inpatient-Pediatrics-Network.aspx. Accessed May 18, 2015.

8. Ohio Children’s Hospitals. Solutions for patient safety. Available at: http://www.solutionsforpatientsafety.org/about-us/our-goals/. Accessed May 18, 2015.

9. Bell CM, Schnipper JL, Auerbach AD, et al. Association of communication between hospital-based physicians and primary care providers with patient outcomes. J Gen Intern Med. 2009;24:381-386. PubMed

10. Oduyebo I, Lehmann CU, Pollack CE, et al. Association of self-reported hospital discharge handoffs with 30-day readmissions. JAMA Intern Med. 2013;173:624-629. PubMed

11. van Walraven C, Seth R, Austin PC, Laupacis A. Effect of discharge summary availability during post-discharge visits on hospital readmission. J Gen Intern Med. 2002;17:186-192. PubMed

12. Kashiwagi DT, Burton MC, Kirkland LL, Cha S, Varkey P. Do timely outpatient follow-up visits decrease hospital readmission rates? Am J Med Qual. 2012;27:11-15. PubMed

13. Coller RJ, Klitzner TS, Lerner CF, Chung PJ. Predictors of 30-day readmission and association with primary care follow-up plans. J Pediatr. 2013;163:1027-1033. PubMed

14. Feudtner C, Pati S, Goodman DM, et al. State-level child health system performance and the likelihood of readmission to children’s hospitals. J Pediatr. 2010;157:98-102. PubMed

15. Brittan MS, Sills MR, Fox D, et al. Outpatient follow-up visits and readmission in medically complex children enrolled in Medicaid. J Pediatr. 2015;166:998-1005. PubMed

16. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397. PubMed

17. Coller RJ, Klitzner TS, Saenz AA, Lerner CF, Nelson BB, Chung PJ. The medical home and hospital readmissions. Pediatrics. 2015;136:e1550-e1560. PubMed

18. Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann Intern Med. 2004;141:533-536. PubMed

19. Coleman EA, Boult C; American Geriatrics Society Health Care Systems Committee. Improving the quality of transitional care for persons with complex care needs. J Am Geriatr Soc. 2003;51:556-557. PubMed

20. Berry JG, Hall DE, Kuo DZ, et al. Hospital utilization and characteristics of patients experiencing recurrent readmissions within children’s hospitals. JAMA. 2011;305:682-690. PubMed

21. Feudtner C, Levin JE, Srivastava R, et al. How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study. Pediatrics. 2009;123:286-293. PubMed

22. Feudtner C, Christakis DA, Connell FA. Pediatric deaths attributable to complex chronic conditions: a population-based study of Washington State, 1980-1997. Pediatrics. 2000;106:205-209. PubMed

23. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. PubMed

24. Berry JG, Agrawal R, Kuo DZ, et al. Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J  Pediatr. 2011;159:284-290. PubMed

25. Kuo DZ, Cohen E, Agrawal R, Berry JG, Casey PH. A national profile of caregiver challenges among more medically complex children with special health care needs. Arch Pediatr Adolesc Med. 2011;165:1020-1026. PubMed

26. Parry C, Mahoney E, Chalmers SA, Coleman EA. Assessing the quality of transitional care: further applications of the care transitions measure. Med Care. 2008;46:317-322. PubMed

27. Coleman EA, Mahoney E, Parry C. Assessing the quality of preparation for posthospital care from the patient’s perspective: the care transitions measure. Med Care. 2005;43:246-255. PubMed

28. Berry JG, Ziniel SI, Freeman L, et al. Hospital readmission and parent perceptions of their child’s hospital discharge. Int J Qual Health Care. 2013;25:573-581. PubMed

29. 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;16:136-144. PubMed

30. Weiss ME, Bobay KL, Bahr SJ, Costa L, Hughes RG, Holland DE. A model for hospital discharge preparation: from case management to care transition. J Nurs Adm. 2015;45:606-614. PubMed

31. Sills MR, Hall M, Colvin JD, et al. Association of social determinants with children’s hospitals’ preventable readmissions performance. JAMA Pediatr. 2016;170:350-358. PubMed

32. Toomey SL, Zaslavsky AM, Elliott MN, et al. The development of a pediatric inpatient experience of care measure: child HCAHPS. Pediatrics. 2015;136:360-369. PubMed

33. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA. 2007;297:831-841. PubMed

34. Harlan G, Srivastava R, Harrison L, McBride G, Maloney C. Pediatric hospitalists and primary care providers: a communication needs assessment. J Hosp Med. 2009;4:187-193. PubMed

35. Forster AJ, Clark HD, Menard A, et al. Adverse events among medical patients after discharge from hospital. CMAJ. 2004;170:345-349. PubMed

36. Nakamura MM, Toomey SL, Zaslavsky AM, et al. Measuring pediatric hospital readmission rates to drive quality improvement. Acad Pediatr. 2014;14:S39-S46. PubMed

37. Smith K. Effective communication with primary care providers. Pediatr Clin North Am. 2014;61671-679. PubMed

38. Leyenaar JK, Bergert L, Mallory LA, et al. Pediatric primary care providers’ perspectives regarding hospital discharge communication: a mixed methods analysis. Acad Pediatr. 2015;15:61-68. PubMed

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Address for correspondence and reprint requests: Ryan J. Coller, Department of Pediatrics, University of Wisconsin, Madison, 600 Highland Ave, Madison, WI 53792; Telephone: 608-265-5545; Fax: 608-265-8074; E-mail: [email protected]
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Standardized Orders Improve Pediatric Care

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Standardized admission order set improves perceived quality of pediatric inpatient care

For many years physicians have created and used various standardized order forms for patient hospital admissions. The increasing popularity of electronic medical records and forms has led to the use of computerized physician order entry (CPOE) as a means of reducing medication errors.13 Crowley et al.,4 Stucky,5 and Garg et al.,6 along with various committees, have recommended standardized order sets and CPOE as a strategy for reducing medication errors. However, implementation of CPOE systems is expensive and not available in most hospitals. According to a recent survey of hospitals in the US, CPOE was only available to physicians at 16% of the participating institutions.7 Until CPOE becomes widespread, standardized preprinted formatted order sets may serve as an inexpensive alternative.

There is anecdotal evidence that standardized admission order forms may improve quality of care and efficiency, and decrease provider variation.8 However, few rigorous studies exist in the pediatric research literature regarding their ability to actually improve patient care.

In 2005, our institution, a large tertiary‐care academic teaching hospital, developed a standardized preprinted pediatric admission order set (PAOS). We did so for 3 reasons. First, there was a desire to improve completeness of orders. Handwritten orders often missed important elements such as weight, allergies, vital sign parameters, activity, etc. Second, there was a need to save time and improve efficiency. Third, it was important to reduce medical errors and the number of clarification requests by decreasing the necessity to decipher physician handwriting. Our PAOS was a convenience order set as opposed to a best practices order set. In other words, our PAOS did not contain evidence‐based management guidelines or protocols for specific admission diagnoses and was created solely to improve the quality and efficiency of workflow.

Documenting improvement in patient outcomes or reduction of medical errors is ultimately needed to establish the effectiveness of a standardized order set. Secondary outcomes, howeverparticularly the perceptions of the staff who are asked to use the order setare equally important, because they may identify real‐life barriers to use that, regardless of effectiveness, could limit dissemination and uptake. With respect to perceptions, 2 groups become paramount: those who write the orders, and those who respond to them. The purpose of the current study was to examine perceived effects of the new PAOS on inpatient care among those who, in our institution, write the ordersresident physicians.

MATERIALS AND METHODS

The PAOS was created in August 2005 at the University of California, Los Angeles (UCLA) Medical Center by a committee comprising pediatric hospitalists, nurses, pharmacists, residents, and clerks. The PAOS consisted mainly of check boxes (Figure 1). The PAOS was uploaded to the hospital website and made available for printing from all computers in the hospital, emergency room, and clinics.

Figure 1
Pediatric admission order set.

The UCLA Hospital and Medical Center is a nonprofit, 667‐bed tertiary‐care teaching hospital in Los Angeles, California. The pediatric ward has 70 licensed beds with approximately 3,000 admissions per year. The majority of the admissions were done by the pediatric residents. Physicians were free to edit the PAOS to suit a particular patient's needs or to hand‐write orders on a blank order form.

Measures

Fourteen months after the institution of the PAOS, all 97 UCLA pediatric residents (PL‐1, n = 34; PL‐2, n = 33; PL‐3, n = 30) were asked to complete a survey to anonymously evaluate the order set. All residents were US medical school graduates. Resident participation in the research project was voluntary and confidential, and residents were assured that participation would not affect their standing in the pediatric residency program. Each resident completed only 1 survey. Responses were collected October 2006 to June 2007. The residents were asked to rate the PAOS overall and with respect to 9 specific dimensions using a 5‐point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement (Figure 2).

Figure 2
Resident survey of pediatric admission orders.

This study was reviewed and approved by the institutional review board at the UCLA Medical Center.

Statistical Analysis

We used bivariate ordered logistic regression to estimate the association between overall rating and each of the 9 dimensions. Ordered logistic regression, a standard technique for ordered categorical variables, is essentially a weighted average of logistic regressions performed at each potential cut‐point of the outcome variable. For instance, potential cut‐points on our 5‐point Likert scale included strong disagreement versus any other, any disagreement versus nondisagreement, any agreement versus nonagreement, and strong agreement versus any other. We then used multivariate ordered logistic regression to examine which specific dimensions remained independently associated with the overall rating.

RESULTS

From October 2006 to June 2007, 59 residents (from a total of 97 residents; 61%) responded to the survey. Overall, 89% of respondents approved of the PAOS, 58% reported using it 90% of the time, and all said that they would recommend it to their colleagues (Table 1). Eighty‐four percent thought that the PAOS improved inpatient care, and 75% thought that medical errors were reduced. Eighty‐eight percent reported that the POAS saved time; 93% said it was convenient; and most reported less need for clarification with clerks (81%) and nurses (82%).

Resident Evaluation of Pediatric Admission Order Set
 Strongly Agree (%)Agree (%)Other (%)
Specific dimensions   
Looks neat63325
User friendly/convenient60337
Readily available472626
Saves time563212
Comprehensive404019
Reduces medical error403525
Fewer clarification phone calls/errors by clerks473319
Fewer clarification phone calls/errors by nurses473518
Improves overall patient care463916
Overall rating404911

In bivariate analyses, each of the 9 dimensions was strongly associated with the overall rating (P < 0.001 for each). In multivariate analyses, however, only perceived improvement in patient care was independently associated with overall rating (OR, 3.9; P = 0.04).

We then examined whether perceived improvement in patient care itself was independently predicted by the other 8 dimensions. Residents who said that the form was comprehensive (OR, 5.6; P = 0.01), reduced medical errors (OR, 4.1; P = 0.01), or required less need for clarification with nurses (OR, 9.6; P = 0.01) were more likely to perceive that the form improved patient care than residents who did not.

DISCUSSION

A standardized admission order set is a simple, low‐cost intervention that may benefit patients by reducing medical errors and expediting high‐quality care. In general, residents rated the PAOS favorably. Just as importantly, the PAOS scored well across all specific dimensions, which suggests few perceived barriers to use among residents.

Some dimensions, however, appeared potentially more important than others. Residents who perceived an improvement in patient care tended to rate the PAOS favorably. Perceived improvement in patient care, in turn, was linked to the order set's comprehensiveness, perceived reductions in medical errors, and less need for clarification with nurses.

Even though this study did not directly query those most responsible for responding to the order set (ie, nurses, pharmacists, and clerks), the order set was created through a collaborative partnership of physicians, nurses, pharmacists, and clerks. It is reasonable to infer that resident‐perceived reduction in the need for clarification of orders with nurses and clerks might indicate a broad‐based, multidisciplinary improvement in clarity and workflow. Moreover, the fact that less need for clarification with nurses was strongly associated with resident‐perceived improvement in patient care underscores the importance of including nurses, pharmacists, and clerks in the development of these order sets.

Our experience using the standard admission orders over the past 2 years is congruent with other authors' findings. Most studies, however, have examined standardized order forms only in adult populations, and mainly for specific medical conditions. Micek et al.9 demonstrated that use of a standardized physician order set among adults with septic shock lowered 28‐day mortality and reduced hospital stay. Among stroke patients, rates of optimal treatment significantly improved after the introduction of standardized stroke orders.10 For patients with acute myocardial infarction, standardized admission orders increased early administration of aspirin and beta blockers.11, 12 With respect to cancer, implementation of a preprinted chemotherapy prescription form improved order completeness, prevented medication errors, and reduced time spent by pharmacists clarifying orders.13 Finally, standardized trauma admission orders developed in a surgical‐trauma intensive care unit reduced admission laboratory charges and improved order completeness.14 We found only a single pediatric study examining standardized order forms. Kozer et al.15 found that the use of a preprinted structured medication order form cut medication errors nearly in half in a pediatric emergency department.

Whether our results would have been similar had we implemented a series of best practices order sets rather than a single convenience order set is unclear. Although best practices order sets would have facilitated application of evidence‐based guidelines for common diagnoses, they would also have introduced potentially unwelcome logistical heterogeneity (with a separate form and protocol needed for each diagnosis) that might have reduced acceptability and uptake. In addition, there is a risk that best practices order sets would have been perceived as unduly limiting physician professional autonomy.

Our study has limitations. First, our study was performed within a single institution and may not be easily generalized. However, we believe that the basic format of the PAOS lends it to easy adaptability. Second, we did not survey residents before the order set was introduced to assess baseline perceptions. Instead, many of the questions in the survey ask about perceived improvements compared with the previous system. Conducting a formal pre‐post data collection and analysis might have yielded different results. Third, improvement in patient care was measured indirectly based on resident opinion.

In conclusion, our study suggests that our standardized admission order set prompting physicians to initiate comprehensive care is well‐liked by residents and is thought to benefit patients by reducing medical errors and expediting high‐quality care. The next step is to confirm that the resident‐perceived improvement in patient care correlates with actual improvement in patient care. If improvements can be confirmed, then PAOS adoption could be broadly recommended to pediatric hospitals. In the future, the PAOS may also help guide computerized physician order entry templates that can be further tailored to specific common diagnoses.

References
  1. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280(15):13111316.
  2. Kaushal R,Shojania KG,Bates DW.Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.Arch Intern Med.2003;163(12):14091416.
  3. King WJ,Paice N,Rangrej J,Forestell GJ,Swartz R.The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients.Pediatrics.2003;112(3 Pt 1):506509.
  4. Crowley E,Williams R,Cousins D.Medication errors in children: a descriptive summary of medication error reports submitted to the United States Pharmacopoeia.Curr Ther Res Clin Exp.2001;62:627640.
  5. Stucky ER.Prevention of medication errors in the pediatric inpatient setting.Pediatrics.2003;112(2):431436.
  6. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  7. Ash JS,Gorman PN,Seshadri V,Hersh WR.Computerized physician order entry in U.S. hospitals: results of a 2002 survey.J Am Med Inform Assoc.2004;11(2):9599.
  8. White B.Using standardized admit orders to improve inpatient care.Fam Pract Manag.1999;6(10):3032.
  9. Micek S,Roubinian N,Heuring T, et al.Before‐after study of a standardized hospital order set for the management of septic shock.Crit Care Med.2006;34(11):27072713.
  10. California Acute Stroke Pilot Registry Investigators.The impact of standardized stroke orders on adherence to best practices.Neurology.2005;65(3):360365.
  11. Mehta RH,Montoye CK,Gallogly M,Baker P,Blount A,Faul J.Improving quality of care for acute myocardial infarction. The guidelines applied in practice (GAP) initiative.JAMA.2002;287(10):12691276.
  12. Mehta RH,Sugata D,Tsai TT,Nolan E,Keary G,Eagle KA.Quality improvement initiative and its impact on the management of patients with acute myocardial infarction.Arch Intern Med.2000;160:30573061.
  13. Thorn DB,Sexton MG,Lemay AP,Sarigianis JS,Melita DD,Gustafson NJ.Effect of a cancer chemotherapy prescription form on prescription completeness.Am J Hosp Pharm.1989;46(9):18021806.
  14. Schedler PA,Neely S.Standardized trauma admission orders, a pilot project.Int J Trauma Nurs.1996;2(1):1321.
  15. Kozer E,Scolnik D,MacPherson A,Rauchwerger D,Koren G.Using a preprinted order sheet to reduce prescription errors in a pediatric emergency department: a randomized, controlled trial.Pediatrics.2005;116(6):12991302.
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care standardization, computerized physician order entry, medical error, patient safety, quality improvement
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For many years physicians have created and used various standardized order forms for patient hospital admissions. The increasing popularity of electronic medical records and forms has led to the use of computerized physician order entry (CPOE) as a means of reducing medication errors.13 Crowley et al.,4 Stucky,5 and Garg et al.,6 along with various committees, have recommended standardized order sets and CPOE as a strategy for reducing medication errors. However, implementation of CPOE systems is expensive and not available in most hospitals. According to a recent survey of hospitals in the US, CPOE was only available to physicians at 16% of the participating institutions.7 Until CPOE becomes widespread, standardized preprinted formatted order sets may serve as an inexpensive alternative.

There is anecdotal evidence that standardized admission order forms may improve quality of care and efficiency, and decrease provider variation.8 However, few rigorous studies exist in the pediatric research literature regarding their ability to actually improve patient care.

In 2005, our institution, a large tertiary‐care academic teaching hospital, developed a standardized preprinted pediatric admission order set (PAOS). We did so for 3 reasons. First, there was a desire to improve completeness of orders. Handwritten orders often missed important elements such as weight, allergies, vital sign parameters, activity, etc. Second, there was a need to save time and improve efficiency. Third, it was important to reduce medical errors and the number of clarification requests by decreasing the necessity to decipher physician handwriting. Our PAOS was a convenience order set as opposed to a best practices order set. In other words, our PAOS did not contain evidence‐based management guidelines or protocols for specific admission diagnoses and was created solely to improve the quality and efficiency of workflow.

Documenting improvement in patient outcomes or reduction of medical errors is ultimately needed to establish the effectiveness of a standardized order set. Secondary outcomes, howeverparticularly the perceptions of the staff who are asked to use the order setare equally important, because they may identify real‐life barriers to use that, regardless of effectiveness, could limit dissemination and uptake. With respect to perceptions, 2 groups become paramount: those who write the orders, and those who respond to them. The purpose of the current study was to examine perceived effects of the new PAOS on inpatient care among those who, in our institution, write the ordersresident physicians.

MATERIALS AND METHODS

The PAOS was created in August 2005 at the University of California, Los Angeles (UCLA) Medical Center by a committee comprising pediatric hospitalists, nurses, pharmacists, residents, and clerks. The PAOS consisted mainly of check boxes (Figure 1). The PAOS was uploaded to the hospital website and made available for printing from all computers in the hospital, emergency room, and clinics.

Figure 1
Pediatric admission order set.

The UCLA Hospital and Medical Center is a nonprofit, 667‐bed tertiary‐care teaching hospital in Los Angeles, California. The pediatric ward has 70 licensed beds with approximately 3,000 admissions per year. The majority of the admissions were done by the pediatric residents. Physicians were free to edit the PAOS to suit a particular patient's needs or to hand‐write orders on a blank order form.

Measures

Fourteen months after the institution of the PAOS, all 97 UCLA pediatric residents (PL‐1, n = 34; PL‐2, n = 33; PL‐3, n = 30) were asked to complete a survey to anonymously evaluate the order set. All residents were US medical school graduates. Resident participation in the research project was voluntary and confidential, and residents were assured that participation would not affect their standing in the pediatric residency program. Each resident completed only 1 survey. Responses were collected October 2006 to June 2007. The residents were asked to rate the PAOS overall and with respect to 9 specific dimensions using a 5‐point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement (Figure 2).

Figure 2
Resident survey of pediatric admission orders.

This study was reviewed and approved by the institutional review board at the UCLA Medical Center.

Statistical Analysis

We used bivariate ordered logistic regression to estimate the association between overall rating and each of the 9 dimensions. Ordered logistic regression, a standard technique for ordered categorical variables, is essentially a weighted average of logistic regressions performed at each potential cut‐point of the outcome variable. For instance, potential cut‐points on our 5‐point Likert scale included strong disagreement versus any other, any disagreement versus nondisagreement, any agreement versus nonagreement, and strong agreement versus any other. We then used multivariate ordered logistic regression to examine which specific dimensions remained independently associated with the overall rating.

RESULTS

From October 2006 to June 2007, 59 residents (from a total of 97 residents; 61%) responded to the survey. Overall, 89% of respondents approved of the PAOS, 58% reported using it 90% of the time, and all said that they would recommend it to their colleagues (Table 1). Eighty‐four percent thought that the PAOS improved inpatient care, and 75% thought that medical errors were reduced. Eighty‐eight percent reported that the POAS saved time; 93% said it was convenient; and most reported less need for clarification with clerks (81%) and nurses (82%).

Resident Evaluation of Pediatric Admission Order Set
 Strongly Agree (%)Agree (%)Other (%)
Specific dimensions   
Looks neat63325
User friendly/convenient60337
Readily available472626
Saves time563212
Comprehensive404019
Reduces medical error403525
Fewer clarification phone calls/errors by clerks473319
Fewer clarification phone calls/errors by nurses473518
Improves overall patient care463916
Overall rating404911

In bivariate analyses, each of the 9 dimensions was strongly associated with the overall rating (P < 0.001 for each). In multivariate analyses, however, only perceived improvement in patient care was independently associated with overall rating (OR, 3.9; P = 0.04).

We then examined whether perceived improvement in patient care itself was independently predicted by the other 8 dimensions. Residents who said that the form was comprehensive (OR, 5.6; P = 0.01), reduced medical errors (OR, 4.1; P = 0.01), or required less need for clarification with nurses (OR, 9.6; P = 0.01) were more likely to perceive that the form improved patient care than residents who did not.

DISCUSSION

A standardized admission order set is a simple, low‐cost intervention that may benefit patients by reducing medical errors and expediting high‐quality care. In general, residents rated the PAOS favorably. Just as importantly, the PAOS scored well across all specific dimensions, which suggests few perceived barriers to use among residents.

Some dimensions, however, appeared potentially more important than others. Residents who perceived an improvement in patient care tended to rate the PAOS favorably. Perceived improvement in patient care, in turn, was linked to the order set's comprehensiveness, perceived reductions in medical errors, and less need for clarification with nurses.

Even though this study did not directly query those most responsible for responding to the order set (ie, nurses, pharmacists, and clerks), the order set was created through a collaborative partnership of physicians, nurses, pharmacists, and clerks. It is reasonable to infer that resident‐perceived reduction in the need for clarification of orders with nurses and clerks might indicate a broad‐based, multidisciplinary improvement in clarity and workflow. Moreover, the fact that less need for clarification with nurses was strongly associated with resident‐perceived improvement in patient care underscores the importance of including nurses, pharmacists, and clerks in the development of these order sets.

Our experience using the standard admission orders over the past 2 years is congruent with other authors' findings. Most studies, however, have examined standardized order forms only in adult populations, and mainly for specific medical conditions. Micek et al.9 demonstrated that use of a standardized physician order set among adults with septic shock lowered 28‐day mortality and reduced hospital stay. Among stroke patients, rates of optimal treatment significantly improved after the introduction of standardized stroke orders.10 For patients with acute myocardial infarction, standardized admission orders increased early administration of aspirin and beta blockers.11, 12 With respect to cancer, implementation of a preprinted chemotherapy prescription form improved order completeness, prevented medication errors, and reduced time spent by pharmacists clarifying orders.13 Finally, standardized trauma admission orders developed in a surgical‐trauma intensive care unit reduced admission laboratory charges and improved order completeness.14 We found only a single pediatric study examining standardized order forms. Kozer et al.15 found that the use of a preprinted structured medication order form cut medication errors nearly in half in a pediatric emergency department.

Whether our results would have been similar had we implemented a series of best practices order sets rather than a single convenience order set is unclear. Although best practices order sets would have facilitated application of evidence‐based guidelines for common diagnoses, they would also have introduced potentially unwelcome logistical heterogeneity (with a separate form and protocol needed for each diagnosis) that might have reduced acceptability and uptake. In addition, there is a risk that best practices order sets would have been perceived as unduly limiting physician professional autonomy.

Our study has limitations. First, our study was performed within a single institution and may not be easily generalized. However, we believe that the basic format of the PAOS lends it to easy adaptability. Second, we did not survey residents before the order set was introduced to assess baseline perceptions. Instead, many of the questions in the survey ask about perceived improvements compared with the previous system. Conducting a formal pre‐post data collection and analysis might have yielded different results. Third, improvement in patient care was measured indirectly based on resident opinion.

In conclusion, our study suggests that our standardized admission order set prompting physicians to initiate comprehensive care is well‐liked by residents and is thought to benefit patients by reducing medical errors and expediting high‐quality care. The next step is to confirm that the resident‐perceived improvement in patient care correlates with actual improvement in patient care. If improvements can be confirmed, then PAOS adoption could be broadly recommended to pediatric hospitals. In the future, the PAOS may also help guide computerized physician order entry templates that can be further tailored to specific common diagnoses.

For many years physicians have created and used various standardized order forms for patient hospital admissions. The increasing popularity of electronic medical records and forms has led to the use of computerized physician order entry (CPOE) as a means of reducing medication errors.13 Crowley et al.,4 Stucky,5 and Garg et al.,6 along with various committees, have recommended standardized order sets and CPOE as a strategy for reducing medication errors. However, implementation of CPOE systems is expensive and not available in most hospitals. According to a recent survey of hospitals in the US, CPOE was only available to physicians at 16% of the participating institutions.7 Until CPOE becomes widespread, standardized preprinted formatted order sets may serve as an inexpensive alternative.

There is anecdotal evidence that standardized admission order forms may improve quality of care and efficiency, and decrease provider variation.8 However, few rigorous studies exist in the pediatric research literature regarding their ability to actually improve patient care.

In 2005, our institution, a large tertiary‐care academic teaching hospital, developed a standardized preprinted pediatric admission order set (PAOS). We did so for 3 reasons. First, there was a desire to improve completeness of orders. Handwritten orders often missed important elements such as weight, allergies, vital sign parameters, activity, etc. Second, there was a need to save time and improve efficiency. Third, it was important to reduce medical errors and the number of clarification requests by decreasing the necessity to decipher physician handwriting. Our PAOS was a convenience order set as opposed to a best practices order set. In other words, our PAOS did not contain evidence‐based management guidelines or protocols for specific admission diagnoses and was created solely to improve the quality and efficiency of workflow.

Documenting improvement in patient outcomes or reduction of medical errors is ultimately needed to establish the effectiveness of a standardized order set. Secondary outcomes, howeverparticularly the perceptions of the staff who are asked to use the order setare equally important, because they may identify real‐life barriers to use that, regardless of effectiveness, could limit dissemination and uptake. With respect to perceptions, 2 groups become paramount: those who write the orders, and those who respond to them. The purpose of the current study was to examine perceived effects of the new PAOS on inpatient care among those who, in our institution, write the ordersresident physicians.

MATERIALS AND METHODS

The PAOS was created in August 2005 at the University of California, Los Angeles (UCLA) Medical Center by a committee comprising pediatric hospitalists, nurses, pharmacists, residents, and clerks. The PAOS consisted mainly of check boxes (Figure 1). The PAOS was uploaded to the hospital website and made available for printing from all computers in the hospital, emergency room, and clinics.

Figure 1
Pediatric admission order set.

The UCLA Hospital and Medical Center is a nonprofit, 667‐bed tertiary‐care teaching hospital in Los Angeles, California. The pediatric ward has 70 licensed beds with approximately 3,000 admissions per year. The majority of the admissions were done by the pediatric residents. Physicians were free to edit the PAOS to suit a particular patient's needs or to hand‐write orders on a blank order form.

Measures

Fourteen months after the institution of the PAOS, all 97 UCLA pediatric residents (PL‐1, n = 34; PL‐2, n = 33; PL‐3, n = 30) were asked to complete a survey to anonymously evaluate the order set. All residents were US medical school graduates. Resident participation in the research project was voluntary and confidential, and residents were assured that participation would not affect their standing in the pediatric residency program. Each resident completed only 1 survey. Responses were collected October 2006 to June 2007. The residents were asked to rate the PAOS overall and with respect to 9 specific dimensions using a 5‐point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement (Figure 2).

Figure 2
Resident survey of pediatric admission orders.

This study was reviewed and approved by the institutional review board at the UCLA Medical Center.

Statistical Analysis

We used bivariate ordered logistic regression to estimate the association between overall rating and each of the 9 dimensions. Ordered logistic regression, a standard technique for ordered categorical variables, is essentially a weighted average of logistic regressions performed at each potential cut‐point of the outcome variable. For instance, potential cut‐points on our 5‐point Likert scale included strong disagreement versus any other, any disagreement versus nondisagreement, any agreement versus nonagreement, and strong agreement versus any other. We then used multivariate ordered logistic regression to examine which specific dimensions remained independently associated with the overall rating.

RESULTS

From October 2006 to June 2007, 59 residents (from a total of 97 residents; 61%) responded to the survey. Overall, 89% of respondents approved of the PAOS, 58% reported using it 90% of the time, and all said that they would recommend it to their colleagues (Table 1). Eighty‐four percent thought that the PAOS improved inpatient care, and 75% thought that medical errors were reduced. Eighty‐eight percent reported that the POAS saved time; 93% said it was convenient; and most reported less need for clarification with clerks (81%) and nurses (82%).

Resident Evaluation of Pediatric Admission Order Set
 Strongly Agree (%)Agree (%)Other (%)
Specific dimensions   
Looks neat63325
User friendly/convenient60337
Readily available472626
Saves time563212
Comprehensive404019
Reduces medical error403525
Fewer clarification phone calls/errors by clerks473319
Fewer clarification phone calls/errors by nurses473518
Improves overall patient care463916
Overall rating404911

In bivariate analyses, each of the 9 dimensions was strongly associated with the overall rating (P < 0.001 for each). In multivariate analyses, however, only perceived improvement in patient care was independently associated with overall rating (OR, 3.9; P = 0.04).

We then examined whether perceived improvement in patient care itself was independently predicted by the other 8 dimensions. Residents who said that the form was comprehensive (OR, 5.6; P = 0.01), reduced medical errors (OR, 4.1; P = 0.01), or required less need for clarification with nurses (OR, 9.6; P = 0.01) were more likely to perceive that the form improved patient care than residents who did not.

DISCUSSION

A standardized admission order set is a simple, low‐cost intervention that may benefit patients by reducing medical errors and expediting high‐quality care. In general, residents rated the PAOS favorably. Just as importantly, the PAOS scored well across all specific dimensions, which suggests few perceived barriers to use among residents.

Some dimensions, however, appeared potentially more important than others. Residents who perceived an improvement in patient care tended to rate the PAOS favorably. Perceived improvement in patient care, in turn, was linked to the order set's comprehensiveness, perceived reductions in medical errors, and less need for clarification with nurses.

Even though this study did not directly query those most responsible for responding to the order set (ie, nurses, pharmacists, and clerks), the order set was created through a collaborative partnership of physicians, nurses, pharmacists, and clerks. It is reasonable to infer that resident‐perceived reduction in the need for clarification of orders with nurses and clerks might indicate a broad‐based, multidisciplinary improvement in clarity and workflow. Moreover, the fact that less need for clarification with nurses was strongly associated with resident‐perceived improvement in patient care underscores the importance of including nurses, pharmacists, and clerks in the development of these order sets.

Our experience using the standard admission orders over the past 2 years is congruent with other authors' findings. Most studies, however, have examined standardized order forms only in adult populations, and mainly for specific medical conditions. Micek et al.9 demonstrated that use of a standardized physician order set among adults with septic shock lowered 28‐day mortality and reduced hospital stay. Among stroke patients, rates of optimal treatment significantly improved after the introduction of standardized stroke orders.10 For patients with acute myocardial infarction, standardized admission orders increased early administration of aspirin and beta blockers.11, 12 With respect to cancer, implementation of a preprinted chemotherapy prescription form improved order completeness, prevented medication errors, and reduced time spent by pharmacists clarifying orders.13 Finally, standardized trauma admission orders developed in a surgical‐trauma intensive care unit reduced admission laboratory charges and improved order completeness.14 We found only a single pediatric study examining standardized order forms. Kozer et al.15 found that the use of a preprinted structured medication order form cut medication errors nearly in half in a pediatric emergency department.

Whether our results would have been similar had we implemented a series of best practices order sets rather than a single convenience order set is unclear. Although best practices order sets would have facilitated application of evidence‐based guidelines for common diagnoses, they would also have introduced potentially unwelcome logistical heterogeneity (with a separate form and protocol needed for each diagnosis) that might have reduced acceptability and uptake. In addition, there is a risk that best practices order sets would have been perceived as unduly limiting physician professional autonomy.

Our study has limitations. First, our study was performed within a single institution and may not be easily generalized. However, we believe that the basic format of the PAOS lends it to easy adaptability. Second, we did not survey residents before the order set was introduced to assess baseline perceptions. Instead, many of the questions in the survey ask about perceived improvements compared with the previous system. Conducting a formal pre‐post data collection and analysis might have yielded different results. Third, improvement in patient care was measured indirectly based on resident opinion.

In conclusion, our study suggests that our standardized admission order set prompting physicians to initiate comprehensive care is well‐liked by residents and is thought to benefit patients by reducing medical errors and expediting high‐quality care. The next step is to confirm that the resident‐perceived improvement in patient care correlates with actual improvement in patient care. If improvements can be confirmed, then PAOS adoption could be broadly recommended to pediatric hospitals. In the future, the PAOS may also help guide computerized physician order entry templates that can be further tailored to specific common diagnoses.

References
  1. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280(15):13111316.
  2. Kaushal R,Shojania KG,Bates DW.Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.Arch Intern Med.2003;163(12):14091416.
  3. King WJ,Paice N,Rangrej J,Forestell GJ,Swartz R.The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients.Pediatrics.2003;112(3 Pt 1):506509.
  4. Crowley E,Williams R,Cousins D.Medication errors in children: a descriptive summary of medication error reports submitted to the United States Pharmacopoeia.Curr Ther Res Clin Exp.2001;62:627640.
  5. Stucky ER.Prevention of medication errors in the pediatric inpatient setting.Pediatrics.2003;112(2):431436.
  6. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  7. Ash JS,Gorman PN,Seshadri V,Hersh WR.Computerized physician order entry in U.S. hospitals: results of a 2002 survey.J Am Med Inform Assoc.2004;11(2):9599.
  8. White B.Using standardized admit orders to improve inpatient care.Fam Pract Manag.1999;6(10):3032.
  9. Micek S,Roubinian N,Heuring T, et al.Before‐after study of a standardized hospital order set for the management of septic shock.Crit Care Med.2006;34(11):27072713.
  10. California Acute Stroke Pilot Registry Investigators.The impact of standardized stroke orders on adherence to best practices.Neurology.2005;65(3):360365.
  11. Mehta RH,Montoye CK,Gallogly M,Baker P,Blount A,Faul J.Improving quality of care for acute myocardial infarction. The guidelines applied in practice (GAP) initiative.JAMA.2002;287(10):12691276.
  12. Mehta RH,Sugata D,Tsai TT,Nolan E,Keary G,Eagle KA.Quality improvement initiative and its impact on the management of patients with acute myocardial infarction.Arch Intern Med.2000;160:30573061.
  13. Thorn DB,Sexton MG,Lemay AP,Sarigianis JS,Melita DD,Gustafson NJ.Effect of a cancer chemotherapy prescription form on prescription completeness.Am J Hosp Pharm.1989;46(9):18021806.
  14. Schedler PA,Neely S.Standardized trauma admission orders, a pilot project.Int J Trauma Nurs.1996;2(1):1321.
  15. Kozer E,Scolnik D,MacPherson A,Rauchwerger D,Koren G.Using a preprinted order sheet to reduce prescription errors in a pediatric emergency department: a randomized, controlled trial.Pediatrics.2005;116(6):12991302.
References
  1. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280(15):13111316.
  2. Kaushal R,Shojania KG,Bates DW.Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.Arch Intern Med.2003;163(12):14091416.
  3. King WJ,Paice N,Rangrej J,Forestell GJ,Swartz R.The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients.Pediatrics.2003;112(3 Pt 1):506509.
  4. Crowley E,Williams R,Cousins D.Medication errors in children: a descriptive summary of medication error reports submitted to the United States Pharmacopoeia.Curr Ther Res Clin Exp.2001;62:627640.
  5. Stucky ER.Prevention of medication errors in the pediatric inpatient setting.Pediatrics.2003;112(2):431436.
  6. Garg AX,Adhikari NK,McDonald H, et al.Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.JAMA.2005;293(10):12231238.
  7. Ash JS,Gorman PN,Seshadri V,Hersh WR.Computerized physician order entry in U.S. hospitals: results of a 2002 survey.J Am Med Inform Assoc.2004;11(2):9599.
  8. White B.Using standardized admit orders to improve inpatient care.Fam Pract Manag.1999;6(10):3032.
  9. Micek S,Roubinian N,Heuring T, et al.Before‐after study of a standardized hospital order set for the management of septic shock.Crit Care Med.2006;34(11):27072713.
  10. California Acute Stroke Pilot Registry Investigators.The impact of standardized stroke orders on adherence to best practices.Neurology.2005;65(3):360365.
  11. Mehta RH,Montoye CK,Gallogly M,Baker P,Blount A,Faul J.Improving quality of care for acute myocardial infarction. The guidelines applied in practice (GAP) initiative.JAMA.2002;287(10):12691276.
  12. Mehta RH,Sugata D,Tsai TT,Nolan E,Keary G,Eagle KA.Quality improvement initiative and its impact on the management of patients with acute myocardial infarction.Arch Intern Med.2000;160:30573061.
  13. Thorn DB,Sexton MG,Lemay AP,Sarigianis JS,Melita DD,Gustafson NJ.Effect of a cancer chemotherapy prescription form on prescription completeness.Am J Hosp Pharm.1989;46(9):18021806.
  14. Schedler PA,Neely S.Standardized trauma admission orders, a pilot project.Int J Trauma Nurs.1996;2(1):1321.
  15. Kozer E,Scolnik D,MacPherson A,Rauchwerger D,Koren G.Using a preprinted order sheet to reduce prescription errors in a pediatric emergency department: a randomized, controlled trial.Pediatrics.2005;116(6):12991302.
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Standardized admission order set improves perceived quality of pediatric inpatient care
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Standardized admission order set improves perceived quality of pediatric inpatient care
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care standardization, computerized physician order entry, medical error, patient safety, quality improvement
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care standardization, computerized physician order entry, medical error, patient safety, quality improvement
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