Reducing Physical Therapy Consults for Patients With High Functional Mobility in the Acute Medical Inpatient Setting: A Difference-in-Difference Analysis.

OBJECTIVE: To evaluate the effectiveness of clinical decision support for reducing misallocation of physical therapy (PT) consults. DESIGN: A prospective quasi-experimental study. Between October 2018 and November 2021, routinely documented data on functional status and physical therapy referrals were collected from electronic medical records. SETTING: Hospital Medicine and General Internal Medicine service lines at a large quaternary academic medical center. PARTICIPANTS: 20,810 adult patients hospitalized on any of the included treatment (hospital medicine) or control (general internal medicine) service lines. MAIN OUTCOME MEASURE: The primary outcome was "change in proportion of misallocated PT consults" measured as likelihood of PT consults for patients admitted with high functional mobility scores. Changes in the primary outcome from the pre-intervention to post-intervention period were compared in the control and treatment groups using propensity score-weighted difference-in-differences multivariable logit regression adjusting for clinically relevant covariates. INTERVENTION: The intervention period was measured for 20 months and consisted of a clinical decision support tool embedded in the daily note templates for hospital medicine providers. The tool provided education on patient mobility scores and their relation to need for PT consult. The tool was rolled out without any further announcements or education. RESULTS: Our cohort included 20,810 unique admissions (mean age 58.9, 55% women, 83% Black). Post-intervention, the likelihood of PT referrals for patients with high baseline mobility (AM-PAC >18) decreased by 7.3% (P<.001) for the treatment group compared with control, adjusted for age, sex, race, ethnicity, length-of-stay, and mobility change. CONCLUSION: Mobility score-based clinical decision support can decrease unneeded PT consults in the inpatient setting. This could help allocate therapy time for at-risk patients while also having a positive effect on health care systems.

Effect of gamification with a support partner to increase physical activity in older adults at risk for Alzheimer's disease: The STEP 4Life randomized clinical trial.

INTRODUCTION: Physical activity is associated with reduced risk of cognitive and functional decline but scalable, sustainable interventions for populations at risk for Alzheimer's disease (AD) and AD and related dementias (ADRD) are lacking. METHODS: A 12-week randomized-controlled trial was conducted with a 3-week follow-up using a national AD prevention registry (GeneMatch). The control group (n = 50) set step goals and received daily feedback. The intervention group (n = 44) also received a behaviorally designed game based on achieving step goals and reinforced by a support partner. RESULTS: Intervention participants (94 participants, mean age 70, 78% female) had greater change in mean daily step count than control of 1699 steps/day (95% confidence interval [CI], 1149-2249), P < 0.0001, which was sustained in the follow-up period at 1219 steps/day (95% CI, 455-1983), P = 0.0018. Carriers of the apolipoprotein E ε4 gene (high risk) did not perform differently than non-carriers; however, high self-reported risk perception was associated with higher activity. DISCUSSION: A gamified intervention was effective in promoting and sustaining higher physical activity in older adults at genetic risk for AD/ADRD. HIGHLIGHTS: A simple game played with a support partner increased walking in older adults at risk for Alzheimer's disease (AD). The game also increased minutes of moderate-to-vigorous physical activity per day. Perception of lifelong AD risk was associated with increased activity but genetic risk (apolipoprotein E ε4+) was not. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05069155.

Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19.

BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation.

A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure.

Supply-demand mismatch of ward resources ("ward capacity strain") alters care and outcomes. Narrow strain definitions and heterogeneous populations limit strain literature. Evaluate the predictive utility of a large set of candidate strain variables for in-hospital mortality and discharge destination among acute respiratory failure (ARF) survivors. In a retrospective cohort of ARF survivors transferred from intensive care units (ICUs) to wards in five hospitals from 4/2017-12/2019, we applied 11 machine learning (ML) models to identify ward strain measures during the first 24 hours after transfer most predictive of outcomes. Measures spanned patient volume (census, admissions, discharges), staff workload (medications administered, off-ward transports, transfusions, isolation precautions, patients per respiratory therapist and nurse), and average patient acuity (Laboratory Acute Physiology Score version 2, ICU transfers) domains. The cohort included 5,052 visits in 43 wards. Median age was 65 years (IQR 56-73); 2,865 (57%) were male; and 2,865 (57%) were white. 770 (15%) patients died in the hospital or had hospice discharges, and 2,628 (61%) were discharged home and 964 (23%) to skilled nursing facilities (SNFs). Ward admissions, isolation precautions, and hospital admissions most consistently predicted in-hospital mortality across ML models. Patients per nurse most consistently predicted discharge to home and SNF, and medications administered predicted SNF discharge. In this hypothesis-generating analysis of candidate ward strain variables' prediction of outcomes among ARF survivors, several variables emerged as consistently predictive of key outcomes across ML models. These findings suggest targets for future inferential studies to elucidate mechanisms of ward strain's adverse effects.

Discharge Practices for COVID-19 Patients: Rapid Review of Published Guidance and Synthesis of Documents and Practices at 22 US Academic Medical Centers.

BACKGROUND: There are currently no evidence-based guidelines that provide standardized criteria for the discharge of COVID-19 patients from the hospital. OBJECTIVE: To address this gap in practice guidance, we reviewed published guidance and collected discharge protocols and procedures to identify and synthesize common practices. DESIGN: Rapid review of existing guidance from US and non-US public health organizations and professional societies and qualitative review using content analysis of discharge documents collected from a national sample of US academic medical centers with follow-up survey of hospital leaders SETTING AND PARTICIPANTS: We reviewed 65 websites for major professional societies and public health organizations and collected documents from 22 Academic Medical Centers (AMCs) in the US participating in the HOspital MEdicine Reengineering Network (HOMERuN). RESULTS: We synthesized data regarding common practices around 5 major domains: (1) isolation and transmission mitigation; (2) criteria for discharge to non-home settings including skilled nursing, assisted living, or homeless; (3) clinical criteria for discharge including oxygenation levels, fever, and symptom improvement; (4) social support and ability to perform activities of daily living; (5) post-discharge instructions, monitoring, and follow-up. LIMITATIONS: We used streamlined methods for rapid review of published guidance and collected discharge documents only in a focused sample of US academic medical centers. CONCLUSION: AMCs studied showed strong consensus on discharge practices for COVID-19 patients related to post-discharge isolation and transmission mitigation for home and non-home settings. There was high concordance among AMCs that discharge practices should address COVID-19-specific factors in clinical, functional, and post-discharge monitoring domains although definitions and details varied.

Low hospital mobility-resurgence of an old epidemic within a new pandemic and future solutions.

Low mobility during hospitalisation poses risks of functional decline and other poor outcomes for older adults. Given the pervasiveness of this problem, low mobility during hospitalisation was first described as 'dangerous' in 1947 and later described as an epidemic. Hospitals have made considerable progress over the last half-century and the last two decades in particular, however, the COVID-19 pandemic presents serious new challenges that threaten to undermine recent efforts and progress towards a culture of mobility. In this special article, we address the question of how to confront an epidemic of immobility within a pandemic. We identify four specific problems for creating and advancing a culture of mobility posed by COVID-19: social distancing and policies restricting patient movement, personnel constraints, personal protective equipment shortages and increased patient hesitancy to ambulate. We also propose four specific solutions to address these problems. These approaches will help support a culture of healthy mobility during and after hospitalisation and help patients to keep moving during the pandemic and beyond.

Patient Recommendations to Improve the Implementation of and Engagement With Portals in Acute Care: Hospital-Based Qualitative Study.

BACKGROUND: The inclusion of patient portals into electronic health records in the inpatient setting lags behind progress in the outpatient setting. OBJECTIVE: The aim of this study was to understand patient perceptions of using a portal during an episode of acute care and explore patient-perceived barriers and facilitators to portal use during hospitalization. METHODS: We utilized a mixed methods approach to explore patient experiences in using the portal during hospitalization. All patients received a tablet with a brief tutorial, pre- and postuse surveys, and completed in-person semistructured interviews. Qualitative data were coded using thematic analysis to iteratively develop 18 codes that were integrated into 3 themes framed as patient recommendations to hospitals to improve engagement with the portal during acute care. Themes from these qualitative data guided our approach to the analysis of quantitative data. RESULTS: We enrolled 97 participants: 53 (53/97, 55%) women, 44 (44/97, 45%) nonwhite with an average age of 48 years (19-81 years), and the average length of hospitalization was 6.4 days. A total of 47 participants (47/97, 48%) had an active portal account, 59 participants (59/97, 61%) owned a smartphone, and 79 participants (79/97, 81%) accessed the internet daily. In total, 3 overarching themes emerged from the qualitative analysis of interviews with these patients during their hospital stay: (1) hospitals should provide both access to a device and bring-your-own-device platform to access the portal; (2) hospitals should provide an orientation both on how to use the device and how to use the portal; and (3) hospitals should ensure portal content is up to date and easy to understand. CONCLUSIONS: Patients independently and consistently identified basic needs for device and portal access, education, and usability. Hospitals should prioritize these areas to enable successful implementation of inpatient portals to promote greater patient engagement during acute care. TRIAL REGISTRATION: ClinicalTrials.gov NCT00102401; https://clinicaltrials.gov/ct2/show/NCT01970852.

Trends in Before Medically Advised Discharges for Patients With Opioid Use Disorder, 2016-2020.

This study examines discharge trends for opioid-related admissions from 2016-2020 with a focus on admissions with opioid use disorder and an injection-related infection.

Hospitalization-Associated Disability in Adults Admitted to a Safety-Net Hospital.

BACKGROUND: Little is known about hospitalization-associated disability (HAD) in older adults who receive care in safety-net hospitals. OBJECTIVES: To describe HAD and to examine its association with age in adults aged 55 and older hospitalized in a safety-net hospital. DESIGN: Secondary post hoc analysis of a prospective cohort from a discharge intervention trial, the Support from Hospital to Home for Elders. SETTING: Medicine, cardiology, and neurology inpatient services of San Francisco General Hospital, a safety-net hospital. PARTICIPANTS: A total of 583 participants 55 and older who spoke English, Spanish, or Chinese. We determined the incidence of HAD 30 days post-hospitalization and ORs for HAD by age group. MEASUREMENTS: The outcome measure was death or HAD at 30 days after hospital discharge. HAD is defined as a new or additional disability in one or more activities of daily living (ADL) that is present at hospital discharge compared to baseline. Participants' functional status at baseline (2 weeks prior to admission) and 30 days post-discharge was ascertained by self-report of ADL function. RESULTS: Many participants (75.3 %) were functionally independent at baseline. By age group, HAD occurred as follows: 27.4 % in ages 55-59, 22.2 % in ages 60-64, 17.4 % in ages 65-69, 30.3 % in ages 70-79, and 61.7 % in ages 80 or older. Compared to the youngest group, only the adjusted OR for HAD in adults over 80 was significant, at 2.45 (95 % CI 1.17, 5.15). CONCLUSIONS: In adults at a safety-net hospital, HAD occurred in similar proportions among adults aged 55-59 and those aged 70-79, and was highest in the oldest adults, aged ≥ 80. In safety-net hospitals, interventions to reduce HAD among patients 70 years and older should consider expanding age criteria to adults as young as 55.

Online professionalism investigations by state medical boards: first, do no harm.

Despite recent guidelines promoting online professionalism, consequences for specific violations by physicians have not been explored. In this article, the authors gauged consensus among state medical boards in the United States (response rate, 71%) about the likelihood of investigations for violations of online professionalism by using 10 hypothetical vignettes. High consensus was defined as more than 75% of respondents indicating that investigation was "likely" or "very likely," moderate consensus as 50% to 75% indicating this, and low consensus as fewer than 50% indicating this. Four online vignettes demonstrated high consensus: Citing misleading information about clinical outcomes (81%; 39/48), using patient images without consent (79%; 38/48), misrepresenting credentials (77%; 37/48), and inappropriately contacting patients (77%; 37/48). Three demonstrated moderate consensus for investigation: depicting alcohol intoxication (73%; 35/48), violating patient confidentiality (65%; 31/48), and using discriminatory speech (60%; 29/48). Three demonstrated low consensus: using derogatory speech toward patients (46%; 22/48), showing alcohol use without intoxication (40%; 19/48), and providing clinical narratives without violation of confidentiality (16%; 7/48). Areas of high consensus suggest "online behaviors" that physicians should never engage in, whereas moderate- and low-consensus areas provide useful contextual information about "gray areas." Increased awareness of these specific behaviors may reduce investigations and improve online professionalism for physicians.

An innovative strategy to improve provider engagement through social networking.

In this article, we describe a model for secure, intra-practice social networking using Web-based technology to facilitate continuous provider engagement. The focus is to create and share practice improvement strategies and other professional content in IPC The Hospitalist Company's community. We also summarize lessons learned from seven years of experience with this model including successes, challenges, next steps, and recommendations for how other healthcare organizations can apply our experience to improve their practices. Overall, this model for social networking represents an untapped opportunity for leadership to increase provider engagement.

Pilot Process Evaluation of the Supporting Older Adults at Risk Model: A RE-AIM Approach.

ABSTRACT: Despite evidence supporting transitional care models, hospitals report challenges implementing and sustaining them. The Discharge to Assess (D2A) Model is an innovative solution to this problem but required translation from a national health system context to an U.S.-based context. We translated the central tenets of the D2A model to establish the Supporting Older Adults at Risk (SOAR) Model, which unfolds in three phases: Prepare, Transition, and Support. The purpose of this project was to conduct a process evaluation of the SOAR Model in practice using the RE-AIM Framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance). Forty patients completed all SOAR Model components for a Reach of 21%. Patients averaged 80 years of age, 53% were female, and 64% Black/AA. SOAR significantly improved discharge before noon, time to first home visit, and use of the in-house pharmacy. SOAR also improved length of hospital stay, emergency department visits, and readmissions. Twenty-one of the 26 Implementation measures unfolded with 75% or greater fidelity. Sixteen of the 24 Adoption measures unfolded with 75% or greater fidelity. COVID-19 limited Maintenance. Given the model unfolds across settings over time, requiring adoption from interprofessional team members, patients, and families, future work should focus on improving reach and adoption.

Features of high quality discharge planning for patients following acute myocardial infarction.

BACKGROUND: Hospital discharge planning is required as a Medicare Condition of Participation (CoP), and is essential to the health and safety for all patients. However, there have been no studies examining specific hospital discharge processes, such as patient education and communication with primary care providers, in relation to hospital 30-day risk standardized mortality rates (RSMRs) for patients with acute myocardial infarction (AMI). OBJECTIVE: To identify hospital discharge processes that may be associated with better performance in hospital AMI care as measured by RSMR. DESIGN: We conducted a qualitative study of U.S. Hospitals, which were selected based on their RSMR reported by the Centers for Medicare & Medicaid Services (CMS) Hospital Compare website for the most recent data available (January 1, 2005 - December 31, 2007). We selected hospitals that ranked in the top 5 % and the bottom 5 % of RSMR for the two consecutive years. We focused on hospitals at the extreme ends of the range in RSMR, known as deviant case sampling. We excluded hospitals that did not have the ability to perform percutaneous coronary intervention in order to decrease the heterogeneity in our sample. PARTICIPANTS: Participants included key hospital clinical and administrative staff most involved in discharge planning for patients admitted with AMI. METHODS: We conducted 14 site visits and 57 in-depth interviews using a standard discussion guide. We employed a grounded theory approach and used the constant comparative method to generate recurrent and unifying themes. KEY RESULTS: We identified five broad discharge processes that distinguished higher and lower performing hospitals: 1) initiating discharge planning upon patient admission; 2) using multidisciplinary case management services; 3) ensuring that a follow-up plan is in place prior to discharge; 4) providing focused education sessions for both the patient and family; and 5) contacting the primary care physician regarding the patient's hospitalization and follow-up care plan. CONCLUSION: Comprehensive and more intense discharge processes that start on admission continue during the patient's hospital stay, and follow up with the primary care physician within 2 days post-discharge, may be critical in reducing hospital RSMR for patients with AMI.

Global health experiences of U.S. Physicians: a mixed methods survey of clinician-researchers and health policy leaders.

BACKGROUND: Interest and participation in global health activities among U.S. medical trainees has increased sharply in recent decades, yet the global health activities of physicians who have completed residency training remain understudied. Our objectives were to assess associations between individual characteristics and patterns of post-residency global health activities across the domains of health policy, education, and research. METHODS: Cross-sectional, mixed methods national survey of 521 physicians with formal training in clinical and health services research and policy leadership. Main measures were post-residency global health activity and characteristics of this activity (location, funding, products, and perceived synergy with domestic activities). RESULTS: Most respondents (73%) hold faculty appointments across 84 U.S. medical schools and a strong plurality (46%) are trained in internal medicine. Nearly half of all respondents (44%) reported some global health activity after residency; however, the majority of this group (73%) reported spending ≤10% of professional time on global health in the past year. Among those active in global health, the majority (78%) reported receiving some funding for their global health activities, and most (83%) reported at least one scholarly, educational, or other product resulting from this work. Many respondents perceived synergies between domestic and global health activities, with 85% agreeing with the statement that their global health activities had enhanced the quality of their domestic work and increased their level of involvement with vulnerable populations, health policy advocacy, or research on the social determinants of health. Despite these perceived synergies, qualitative data from in-depth interviews revealed personal and institutional barriers to sustained global health involvement, including work-family balance and a lack of specific avenues for career development in global health. CONCLUSIONS: Post-residency global health activity is common in this diverse, multi-specialty group of physicians. Although those with global health experience describe synergies with their domestic work, the lack of established career development pathways may limit the benefits of this synergy for individuals and their institutions.

Geographic cohorting by clinical care team: a narrative review.

BACKGROUND AND OBJECTIVE: Geographic cohorting refers to localization of inpatients to designated hospital areas (typically a unit or a set of beds) based on specified criteria. One such criterion that has been commonly discussed and studied since the early days of the hospitalist movement in the US is a patient's assigned clinical care team. Because implementing cohorting of this type requires substantial operational investment, it is important to understand the benefits and the tradeoffs associated with bringing patients into closer spatial proximity with their full team of providers and allowing clinicians to work within a defined clinical space. METHODS: We conducted a narrative review of the evidence around geographic cohorting of patients by clinical care team. We performed a comprehensive search of the PubMed, Embase, Cinahl and Scopus databases, identifying relevant English language articles. We used an inductive approach to developing thematic domains for categorization of article content. KEY CONTENT AND FINDINGS: We reviewed eighteen articles published between 2008 and 2022, and identified four thematic outcomes domains: patient-centered outcomes, communication, efficiency, and satisfaction. The existing literature demonstrates associations with improved communication and staff satisfaction. The data regarding patient outcomes and overall work efficiency, on the other hand, are equivocal and, in general, limited by study methodology. CONCLUSIONS: Geographic cohorting of inpatients according to clinical care team offers some promise for improved workplace culture. More rigorously designed studies are needed, however, to understand its impact on patient outcomes, and there should be added attention paid to throughput metrics and tradeoffs that often limit its implementation.

Medical schools in sub-Saharan Africa.

Small numbers of graduates from few medical schools, and emigration of graduates to other countries, contribute to low physician presence in sub-Saharan Africa. The Sub-Saharan African Medical School Study examined the challenges, innovations, and emerging trends in medical education in the region. We identified 168 medical schools; of the 146 surveyed, 105 (72%) responded. Findings from the study showed that countries are prioritising medical education scale-up as part of health-system strengthening, and we identified many innovations in premedical preparation, team-based education, and creative use of scarce research support. The study also drew attention to ubiquitous faculty shortages in basic and clinical sciences, weak physical infrastructure, and little use of external accreditation. Patterns recorded include the growth of private medical schools, community-based education, and international partnerships, and the benefit of research for faculty development. Ten recommendations provide guidance for efforts to strengthen medical education in sub-Saharan Africa.

Understanding transitions in care from hospital to homeless shelter: a mixed-methods, community-based participatory approach.

BACKGROUND: Coordinated transitions from hospital to shelter for homeless patients may improve outcomes, yet patient-centered data to guide interventions are lacking. OBJECTIVES: To understand patients' experiences of transitions from hospital to a homeless shelter, and determine aspects of these experiences associated with perceived quality of these transitions. DESIGNS: Mixed methods with a community-based participatory research approach, in partnership with personnel and clients from a homeless shelter. PARTICIPANTS: Ninety-eight homeless individuals at a shelter who reported at least one acute care visit to an area hospital in the last year. APPROACH: Using semi-structured interviews, we collected quantitative and qualitative data about transitions in care from the hospital to the shelter. We analyzed qualitative data using the constant comparative method to determine patients' perspectives on the discharge experience, and we analyzed quantitative data using frequency analysis to determine factors associated with poor outcomes from patients' perspective. KEY RESULTS: Using qualitative analysis, we found homeless participants with a recent acute care visit perceived an overall lack of coordination between the hospital and shelter at the time of discharge. They also described how expectations of suboptimal coordination exacerbate delays in seeking care, and made three recommendations for improvement: 1) Hospital providers should consider housing a health concern; 2) Hospital and shelter providers should communicate during discharge planning; 3) Discharge planning should include safe transportation. In quantitative analysis of recent hospital experiences, 44 % of participants reported that housing status was assessed and 42 % reported that transportation was discussed. Twenty-seven percent reported discharge occurred after dark; 11 % reported staying on the streets with no shelter on the first night after discharge. CONCLUSIONS: Homeless patients in our community perceived suboptimal coordination in transitions of care from the hospital to the shelter. These patients recommended improved assessment of housing status, communication between hospital and shelter providers, and arrangement of safe transportation to improve discharge safety and avoid discharge to the streets without shelter.

"Learning by doing"--resident perspectives on developing competency in high-quality discharge care.

BACKGROUND: Reducing readmissions and post-discharge adverse events by improving the quality of discharge care has become a national priority, yet we have limited understanding about how physicians learn to provide high-quality discharge care. METHODS: We conducted in-depth, in-person interviews with housestaff physicians with qualitative analysis by a multi-disciplinary team using the constant comparative method to explore learning about high-quality discharge care as a systems-based practice and to identify opportunities to improve training around these concepts. RESULTS: We analyzed interview transcripts from 29 internal medicine residents: 17 (59 %) were interns (PGY-2 or PGY-3), 12 (41 %) seniors, and 17 (59 %) were female. We identified a recurrent theme of lack of formal training about the discharge process, substantial peer-to-peer instruction, and "learning by doing" on the wards. Within this theme, we identified five specific concepts related to systems-based practice and high-quality discharge care which residents learned during residency: (1) teamwork and the interdisciplinary nature of discharge planning; (2) advanced planning strategies to anticipate challenges in the discharge process; (3) patient safety and the concept of a "safe discharge;" (4) patient continuity of care and learning from post-discharge outcomes and; (5) documentation of discharge plans as a valuable skill. CONCLUSIONS: Discharge care is an overlooked opportunity to teach concepts of systems-based practice explicitly as learning about discharge care is unstructured and individual experiences may vary considerably. Educational interventions to standardize learning about discharge care may improve the development of systems-based practice during residency and help improve the overall quality of discharge care at teaching hospitals.