Age Suppresses the Association Between Traumatic Brain Injury Severity and Functional Outcomes: A Study Using the NIDILRR TBIMS Dataset.

OBJECTIVES: Recovery from traumatic brain injury (TBI) is extremely difficult to predict, with TBI severity usually demonstrating weak predictive validity for functional or other outcomes. A possible explanation may lie in the statistical phenomenon called suppression, according to which a third variable masks the true association between predictor and outcome, making it appear weaker than it actually is. Age at injury is a strong candidate as a suppressor because of its well-established main and moderating effects on TBI outcomes. We tested age at injury as a possible suppressor in the predictive chain of effects between TBI severity and functional disability, up to 10 years post-TBI. SETTING: Follow-up interviews were conducted during telephone interviews. PARTICIPANTS: We used data from the 2020 NDILRR Model Systems National Dataset for 4 successive follow-up interviews: year 1 (n = 10,734), year 2 (n = 9174), year 5 (n = 6,201), and year 10 (n = 3027). DESIGN: Successive cross-sectional multiple regression analyses. MAIN MEASURES: Injury severity was operationalized using a categorical variable representing duration of posttrauma amnesia. The Glasgow Outcomes Scale-Extended (GOS-E) operationally defined functioning. Sociodemographic characteristics having significant bivariate correlations with GOS-E were included. RESULTS: Entry of age at injury into the regression models significantly increases the association between TBI severity and functioning up to 10 years post-TBI. CONCLUSIONS: Age at injury is a suppressor variable, masking the true effect of injury severity on functional outcomes. Identifying the mediators of this suppression effect is an important direction for TBI rehabilitation research.

American Association of Nurse Practitioners Research Agenda, 2023-2028.

ABSTRACT: This report highlights the 2023-2028 American Association of Nurse Practitioners Research Agenda (AANP-RA), which focuses on the research goals of AANP as an organization and is based on its mission and strategic plan. The purpose of the AANP Research Agenda is to outline research priorities that advance the AANP Strategic Plan and concurrently address gaps in nursing science. American Association of Nurse Practitioners supports research studies that are rigorously designed and conducted using quantitative, qualitative, and mixed-methods approaches, as well as implementation science with the potential to positively impact both NP practice and patient health outcomes. The AANP-RA strategy is guided by the PEARL acronym: examining NP Practice, Education, policy Advocacy, Research, and Leadership. A discussion of each area is presented along with suggested topics.

A Systematic Review of Interventions That Address Food Insecurity for Persons With Prediabetes or Diabetes Using the RE-AIM Framework.

PURPOSE: The purpose of this study is to systematically review interventions that address food insecurity for persons with prediabetes or type 2 diabetes using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. METHODS: Six databases (OVIDMEDLINE, OVIDEMBASE, OVID APA PsycINFO, Web of Science, Cochrane Central Registry of Controlled Trials, and EBSCO CINAHL Complete) were searched through January 2023. Research team members independently performed screening of abstracts and full texts, data abstraction, and risk assessment. RESULTS: In all, 3,139 unique citations were identified, and 20 studies met inclusion criteria. Interventions included medically tailored meals/groceries (n = 10) or produce prescriptions/vouchers (n = 10). Reach and effectiveness were the highest reported RE-AIM elements. Interventions reached a high-risk population via food banks, community-based outreach, and federally qualified health centers. A majority of participants identified as female, Black, or Hispanic/Latinx and were living below the federal poverty level. Most studies reported at least 1 diabetes outcome (ie, A1C, hypoglycemia, diabetes distress, diabetes self-management). Seventeen studies reported impact on A1C, with the majority reporting a decrease in A1C and 53% (9/17) of studies demonstrating a decrease over time. Self-management improved in 50% (3/6) of studies that evaluated this outcome. Self-efficacy improved in 40% (2/5) of studies, and improvements were seen in depressive symptoms/diabetes distress (4/7 studies) and quality of life (5/5 studies). Seven studies reported statistically significant improvements in food insecurity. CONCLUSION: Food insecurity has been associated with higher risks and adverse clinical outcomes in adults with diabetes. Implementing interventions that address food insecurity among adults with or at risk for diabetes can enhance food security and clinically important diabetes-related outcomes. Additional research dedicated to the sustainability of interventions is needed.

Exposing Undergraduate Nursing Students to Older Adults: A Qualitative Analysis.

ABSTRACT: Care of the older adult can be complex and influenced by ageism. The purpose of this pilot study was to expose nursing students to older adults earlier in the undergraduate curriculum. This study examined the experiences of student participation in caring for older adults. Qualitative analysis of student logs was conducted. Themes that emerged included age-related changes, environmental considerations, psychosocial needs and changes, consideration of gerontology as a career choice, and existing bias. Early experiences are vital in the curriculum and provide enhanced engagement in gerontology.

Digital Health and Community Health Worker Support for Diabetes Management: a Randomized Controlled Trial.

OBJECTIVE: The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes. DESIGN: Randomized controlled trial. SETTING: Urban outpatient clinic. PARTICIPANTS: Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%. INTERVENTION: Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels. MAIN MEASURES: The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months. KEY RESULTS: A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69. CONCLUSION: There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C. TRIAL REGISTRATION: This trial is registered with clinicaltrials.gov identifier: NCT03939793.

The Relationship of Fear of Falling and Quality of Life: The Mediating Effects of Frailty and Depression.

PURPOSE: To examine the sequential explanatory roles of frailty and depression in the relationship between fear of falling (FOF) and health-related quality of life (HRQoL) in older adults. DESIGN: Secondary data analysis. METHODS: Path models were constructed hypothesizing frailty and depression as serial mediators of the relationship between FoF and HRQoL. FINDINGS: Depression independently and along with frailty serially mediated the relationship between FoF and mental HRQoL. CONCLUSIONS: Frailty and depression are not typically considered when assessing the effect of FOF on HRQoL. CLINICAL EVIDENCE: Understanding the mediating effects and common risk factors on FOF and HRQoL may be an area for interventional development for older adults.

Unmet Caregiving Needs Among Sepsis Survivors Receiving Home Health Care: The Need for Caregiver Training.

Unmet needs for family caregiver assistance threaten patient outcomes during Medicare home health care (HHC). Sepsis survivors represent a growing proportion of the HHC patient population, but little is known regarding their risk for unmet caregiving needs. We describe prevalence and underlying cause of unmet caregiving needs for sepsis survivors receiving HHC, using HHC patient assessment data for 85,851 older sepsis survivors receiving post-acute HHC in 2013-2014. Unmet caregiving needs were most common for assistance with Activities of Daily Living (ADLs) (28%) and medication administration (27%). Caregivers' need for training accounted for more than three-fourths of all unmet caregiving needs. Those who experienced decline/no improvement in cognitive function were more likely to experience unmet caregiving needs. Findings highlight the potential value of expanding family caregiver training to improve HHC outcomes for sepsis survivors and indicate that caregivers of sepsis survivors with poor cognitive function may benefit most.

The experience of baccalaureate clinical nursing faculty transitioning to emergency remote clinical teaching during the COVID-19 pandemic: Lessons for the future.

BACKGROUND: Experiential clinical learning in undergraduate nursing education allows for fusion of nursing knowledge with practice to ensure the development of competent graduate nurses. The global COVID-19 pandemic necessitated an abrupt transition from in-person clinical educational experiences to emergency remote clinical teaching. OBJECTIVES: The purpose of this study was to describe the experiences of baccalaureate nursing clinical faculty who transitioned from in-person clinical to emergency remote clinical teaching during the COVID-19 pandemic in spring 2020. DESIGN: A qualitative descriptive design was used. SETTING: The study took place in the United States. PARTICIPANTS: Nineteen baccalaureate nursing clinical faculty participated in the study. METHODS: Participants engaged in semi-structured, in-depth, online interviews. RESULTS: Five themes emerged from the data: transition, collaboration and support, the joy of teaching, authentic professional experience, and the overarching primary theme, stress of the moment. CONCLUSIONS: The transition to emergency remote clinical teaching during the COVID-19 pandemic caused stress and anxiety. However, there were important lessons learned about how to best support students and faculty while providing a robust online learning experience. Understanding the experiences of clinical nursing faculty during this abrupt transition can support recommendations for best practices in the future.

Design of a randomized controlled trial of digital health and community health worker support for diabetes management among low-income patients.

BACKGROUND: Insulin-dependent diabetes is a challenging disease to manage and involves complex behaviors, such as self-monitoring of blood glucose. This can be especially challenging in the face of socioeconomic barriers and in the wake of the COVID-19 pandemic. Digital health self-monitoring interventions and community health worker support are promising and complementary best practices for improving diabetes-related health behaviors and outcomes. Yet, these strategies have not been tested in combination. This protocol paper describes the rationale and design of a trial that measures the combined effect of digital health and community health worker support on glucose self-monitoring and glycosylated hemoglobin. METHODS: The study population was uninsured or publicly insured; lived in high-poverty, urban neighborhoods; and had poorly controlled diabetes mellitus with insulin dependence. The study consisted of three arms: usual diabetes care; digital health self-monitoring; or combined digital health and community health worker support. The primary outcome was adherence to blood glucose self-monitoring. The exploratory outcome was change in glycosylated hemoglobin. CONCLUSION: The design of this trial was grounded in social justice and community engagement. The study protocols were designed in collaboration with frontline community health workers, the study aim was explicit about furthering knowledge useful for advancing health equity, and the population was focused on low-income people. This trial will advance knowledge of whether combining digital health and community health worker interventions can improve glucose self-monitoring and diabetes-related outcomes in a high-risk population.

Economic impact and health care utilization outcomes of diabetes self-management education and support interventions for persons with diabetes: a systematic review protocol.

OBJECTIVE: The aim of this systematic review is to summarize and synthesize existing research on the economic impact of diabetes self-management education and support. INTRODUCTION: Diabetes self-management education and support is an essential component of diabetes care, yet it continues to be underutilized. A gap exists regarding the true measured economic impact of this intervention. INCLUSION CRITERIA: This review will consider studies that report the measured economic impact and health care utilization of diabetes self-management education and support for persons with diabetes or their caregivers. The inclusion criteria are as follows: quantitative studies providing measured data on the economic outcomes and health care utilization of diabetes self-management education and support interventions that include at least one of the Association for Diabetes Care and Education Specialists Seven Self-Care Behaviors. METHODS: The review will search the following databases: MEDLINE Epub Ahead of Print, In-Process and Other Non-Indexed Citations, Daily and Versions; Embase; Scopus; CINAHL; ERIC, Cochrane Database of Systematic Reviews; and the Cochrane Register of Controlled Trials. Additionally, a search of gray literature will be performed using Google Scholar. Date limitations will be from January 2006 to May 2020. Two members of the research team will independently screen abstracts and full texts, and extract data. The screening process will be described using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Articles will be assessed for risk of bias using the JBI critical appraisal tools. Data will be narratively summarized. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (CRD42020166743).

MIRROR-TCM: Multisite Replication of a Randomized Controlled Trial - Transitional Care Model.

In the U.S., older adults hospitalized with acute episodes of chronic conditions often are rehospitalized within 30 days of discharge. Numerous studies reveal that poor management of the complex needs of this population remains the norm. METHODS: This prospective, intent-to-treat, randomized controlled trial (RCT) will assess the effects of replicating the rigorously studied Transitional Care Model (TCM) in four U.S. healthcare systems. The TCM is an advanced practice registered nurse led, team-based, care management intervention that supports older adults throughout vulnerable care episodes that span hospital to home. This RCT will compare health and economic outcomes demonstrated by at-risk older adults hospitalized with heart failure, chronic obstructive pulmonary disease or pneumonia randomized to receive usual discharge planning (control group, N = 800) to those observed by a similar group of older adults randomized to receive the TCM protocol (N = 800). The primary outcome is number of rehospitalizations at 12 months post-discharge, with secondary resource use outcomes measured at multiple intervals. Patient experience with care, health and quality of life outcomes will be assessed at 90 days post-discharge. DISCUSSION: Based on health and economic benefits demonstrated in multiple NIH funded RCTs, the study team hypothesizes that the intervention group, both within and across participating health systems, will have decreased acute care resource use and costs at 12 months and better ratings of the care experience and health and quality of life through 90 days post-discharge compared to the control group. The impact of COVID-19 on implementation of this study also is discussed.

Economic Impact and Health Care Utilization Outcomes of Diabetes Self-Management Education and Support Interventions for Persons With Diabetes: A Systematic Review and Recommendations for Future Research.

PURPOSE: Value-driven outcomes are important because health systems determine sustainability of diabetes self-management education and support (DSMES) programming. Health care utilization and clinical outcomes are critical factors when considering the impact of DSMES programs. OBJECTIVE: The aim of this systematic review was to describe studies that report on the economic and health care utilization outcomes of diabetes self-management programs. METHODS: A systematic literature review was performed in multiple databases. Studies reporting economic and health care utilization outcomes related to DSMES and including 1 or more of the ADCES7 Self-Care BehaviorsTM from January 2006 to May 2020 were included. Eligible articles needed to compare the intervention and comparison group and report on economic impact. The methodological quality was assessed with the Joanna Briggs Institute Critical Appraisal Checklist specific to each individual study design. RESULTS: A total of 22 of 14 556 articles published between 2007 and 2020 were included. Cost benefits varied, and there were considerable methodological heterogeneity among design, economic measures, population, perspective, intervention, and biophysical outcomes. CONCLUSION: DSMES interventions may positively impact economic outcomes and/or health care utilization, although not all studies showed consistent benefit. This review highlights an evidence gap, and future health economic evaluations are warranted.

Home-Based Medical Care: High-Value Health Care During Coronavirus Disease 2019 and Beyond.

Ms. H is a 78-year-old woman with a history of congestive heart failure, chronic obstructive pulmonary disease, and recent stroke who was discharged 1 month ago from a subacute rehabilitation facility. She moved in with her son because she now requires a walker and cannot return to her third-floor apartment. One evening, Ms. H develops a low-grade fever and mild shortness of breath intermittently relieved by her albuterol inhaler. Her son is worried, but knows that his mom does not want to return to the hospital.

An Umbrella Review of Text Message Programs for Adults With Type 2 Diabetes.

PURPOSE: The purpose of this umbrella review was to synthesize the evidence from published systematic reviews on the effectiveness of text message programs for adults with type 2 diabetes (T2DM) on glycemic management (A1C), self-management, and other clinical outcomes. The effect of directionality of the program was also explored. METHODS: A systematic search was conducted using multiple databases. Inclusion criteria were systematic review of text message programs for adults with T2DM, evaluated A1C, and English language. Quality assessment was completed using AMSTAR-2 guidelines. Data were extracted by multiple coders, and results were synthesized. RESULTS: The final sample included 9 systematic reviews published between 2011 and 2019, with 72 unique international studies. Text message programs focused on diabetes self-management and reducing health risks through educational and motivational content with some providing personalized feedback. A meta-analysis of program effect on A1C was conducted in 5 reviews with a pooled difference in A1C from -0.38% to -0.8%. Adults with T2DM of shorter duration and lower A1C had better treatment effects. Evidence on unidirectional versus bidirectional programs is conflicting; however, both improve outcomes. Evidence of text message programs targeting medication engagement was inconclusive. Some programs improved blood pressure, lipids, self-management, self-efficacy, and health behaviors. High satisfaction and an average of 9.6% to 18.7% attrition was reported. CONCLUSIONS: Text messaging programs can improve T2DM outcomes, are a highly accessible mode of communication, are relatively inexpensive, and are an underutilized adjunct to clinical care.

Feasibility of Diabetes Self-Management Telehealth Education for Older Adults During Transitions in Care.

The current study investigated the feasibility of telehealth-delivered diabetes self-management education and support (DSMES) for older adults with type 2 diabetes mellitus following hospital discharge. The intervention included one in-person home visit and follow-up weekly virtual DSMES for 4 additional weeks. Diabetes knowledge was measured at baseline and completion of the program. The Telehealth Usability Questionnaire was completed following the final session. Hemoglobin A1C (A1C) level was abstracted from the electronic health record at baseline and 3 months post hospital discharge. Hospital re-admissions were measured at 30 days post index hospital stay. Of the 20 patients enrolled, 12 completed the intervention. The most common reason for attrition was discharge to a skilled nursing facility (3/20). Participants who completed the intervention increased their diabetes knowledge scores. A1C values decreased by 1.1%, and there were no hospital readmissions for any patient who completed the program. Participants described the program as useful and were satisfied with the program. These results suggest that it is feasible to identify and enroll patients in a telehealth education program for diabetes during hospital admission. [Research in Gerontological Nursing, 13(3), 138-145.].

Sepsis Survivors Transitioned to Home Health Care: Characteristics and Early Readmission Risk Factors.

OBJECTIVE: To profile the characteristics of growing numbers of sepsis survivors receiving home healthcare (HHC) by type of sepsis before, during, and after a sepsis hospitalization and identify characteristics significantly associated with 7-day readmission. DESIGN: Cross-sectional descriptive study. Data sources included the Outcome and Assessment Information Set (OASIS) and Medicare administrative and claims data. SETTING AND PARTICIPANTS: National sample of Medicare beneficiaries hospitalized for sepsis who were discharged to HHC between July 1, 2013 and June 30, 2014 (N = 165,228). METHODS: We used an indicator distinguishing among 3 types of sepsis: explicitly coded sepsis diagnosis without organ dysfunction; severe sepsis with organ dysfunction; and septic shock. We compared these subgroups' demographic, clinical and functional characteristics, comorbidities, risk factors for rehospitalization, characteristics of the index hospital stay, and predicted 7-day hospital readmission. RESULTS: The majority (80.7%) had severe sepsis, 5.7% had septic shock, and 13.6% had sepsis without acute organ system dysfunction. The medical diagnoses recorded at HHC admission identified sepsis or blood infection only 7% of the time, potentially creating difficulty identifying the sepsis survivor in HHC. Among sepsis types, septic shock survivors had the greatest illness burden profile. This study describes 12 key variables, each of which individually raises the relative 7-day readmission risk by as much as 60%. Increased risk of 7-day rehospitalization was found among those with septic shock, 3 or more previous inpatient stays, index hospital length of stay of >8 days, dyspnea, >6 functional dependencies, and other risk factors. CONCLUSIONS AND IMPLICATIONS: Implications for practice include using our findings to identify sepsis survivors who are at risk for early readmission. Assessment for these factors may profile the at-risk patient, thereby triggering the call for additional acute care intervention such as delayed discharge, or post-acute intervention such as early home visit and outpatient follow-up.

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity. We applied a random forest algorithm on readily available HHC data from the mandated Outcomes and Assessment Information Set (OASIS) with over 100 items from 59,006 HHC patients to identify factors that predict and quantify fall risks. Our ultimate goal is to build clinical decision support for fall prevention. Our model achieves higher precision and balanced accuracy than the commonly used multifactorial Missouri Alliance for Home Care fall risk assessment. This is the first known attempt to determine fall risk factors from the extensive OASIS data from a large sample. Our quantitative prediction of fall risks can aid clinical discussions of risk factors and prevention strategies for lowering fall incidence.

Diabetes Education Impact on Hypoglycemia Outcomes: A Systematic Review of Evidence and Gaps in the Literature.

PURPOSE: The primary purpose of this study is to report a systematic review of evidence and gaps in the literature among well-conducted studies assessing the impact of diabetes education on hypoglycemia outcomes and secondarily reporting the impact on other included target outcomes. METHODS: The authors used a modified Cochrane method to systematically search and review English-language titles, abstracts, and full-text articles published in the United States between January 2001 and December 2017, with diabetes education specified as an intervention and a directly measurable outcome for hypoglycemia risk or events included. RESULTS: Fourteen quasi-experimental, experimental, and case-control studies met the inclusion criteria, with 8 articles reporting a positive impact of diabetes self-management education and support (DSMES) on hypoglycemia outcomes; 2 of the 8 reported decreased hypoglycemia events, and 1 reported decreased events in both the intervention and control groups. In addition, 5 studies targeted change in reported hypoglycemia symptoms, with all 5 reporting a significant decrease. DSMES also demonstrated an impact on intermediate (knowledge gain, behavior change) and long-term (humanistic and economic/utilization) outcomes. An absence of common hypoglycemia measures and terminology and suboptimal descriptions of DSMES programs for content, delivery, duration, practitioner types, and participants were identified as gaps in the literature. CONCLUSIONS: Most retained studies reported that diabetes education positively affected varied measures of hypoglycemia outcomes (number of events, reported symptoms) as well as other targeted outcomes. Diabetes education is an important intervention for reducing hypoglycemia events and/or symptoms and should be included as a component of future hypoglycemia risk mitigation studies.

Using a Decision Support Algorithm for Referrals to Post-Acute Care.

OBJECTIVES: Although hospital clinicians strive to effectively refer patients who require post-acute care (PAC), their discharge planning processes often vary greatly, and typically are not evidence-based. DESIGN: Quasi-experimental study employing pre-/postdesign. Aimed at improving patient-centered discharge processes, we examined the effects of the Discharge Referral Expert System for Care Transitions (DIRECT) algorithm that provides clinical decision support (CDS) regarding which patients to refer to PAC and to what level of care (home care or facility). SETTING AND PARTICIPANTS: Conducted in 2 hospitals, DIRECT data elements were collected in the pre-period (control) but discharging clinicians were blinded to the advice and provided usual discharge care. During the postperiod (intervention), referral advice was provided within 24 hours of admission to clinicians, and updated twice daily. Propensity modeling was used to account for differences between the pre-/post patient cohorts. MEASURES: Outcomes compared between the control and the intervention periods included PAC referral rates, patient characteristics, and same-, 7-, 14-, and 30-day readmissions or emergency department visits. RESULTS: Although 24%-25% more patients were recommended for PAC referral by DIRECT algorithm advice, the proportion of patients receiving referrals for PAC did not significantly differ between the control (3302) and intervention (5006) periods. However, the characteristics of patients referred for PAC services differed significantly and inpatient readmission rates decreased significantly across all time intervals when clinicians had DIRECT CDS compared with without. There were no differences observed in return emergency department visits. Largest effects were observed when clinicians agreed with the algorithm to refer (yes/yes). CONCLUSIONS/IMPLICATIONS: Our findings suggest the value of timely, automated, discharge CDS for clinicians to optimize PAC referral for those most likely to benefit. Although overall referral rates did not change with CDS, the algorithm may have identified those patients most in need, resulting in significantly lower inpatient readmission rates.

Intern Transitions of Care Curriculum Through Posthospital Home and Skilled Nursing Facility Visits.

BACKGROUND: Transitions of care pose significant risks for patients with complex medical histories. There are few experiential medical education curricula targeting this important aspect of care. OBJECTIVE: We designed and tested an internal medicine transitions of care experience integrated into interns' ambulatory curriculum. METHODS: The program included 1-hour group didactics, a posthospitalization discharge visit in pairs with a home care nurse (cohort 1: 2011-2012; cohort 2: 2012-2013), and a half-day small-group visit to a skilled nursing facility led by a faculty member in geriatrics (cohort 2 only). Both visits had structured debriefings by faculty in geriatrics. For cohort 1, a quantitative follow-up survey was administered 18 to 20 months after the experience. For cohort 2, reflections were analyzed. RESULTS: Thirty-three of 42 second-year residents (79%) in cohort 1 who participated in didactics and a home visit completed the survey. Seventy-six percent (25 of 33) reported increased knowledge of interprofessional team members' roles and the discharge process for patients with complex medical histories. Seventy-nine percent (26 of 33) reported continued use of medication reconciliation at discharge, and 64% (21 of 33) reported the experience enhanced their ability to identify threats to transitions. Of cohort 2 interns, 88% (42 of 48) participated in the home visit and 69% (33 of 48) in the skilled nursing facility visit. Intern reflections revealed insights gained, incomprehensive discharge plans, posthospital health care teams, and patients' postdischarge experience. CONCLUSIONS: An experiential transitions of care curriculum is feasible and acceptable. Residents reported using the curriculum 18 to 20 months after exposure.