Evaluating an Interprofessional Trauma-Based Education Course to Advance the Care and Health of Refugees.

Refugee patients benefit from interdisciplinary approaches that address trauma-related migration in culturally responsive ways. This qualitative evaluation assessed the interdisciplinary trauma-based course for refugee populations. The qualitative data comes from focus groups and surveys to evaluate medical, social work, and public health students' perceptions of the interprofessional education course of refugee patient care. The evaluators analyzed qualitative data through a thematic content analysis method. Following key themes emerged from students' reflections: (1) collaboration in interdisciplinary learning, (2) role of clinical learning, (3) skills and knowledge related to refugee population care, (4) improvements for interprofessional education, and (5) strengths of the interprofessional education course. The Interprofessional Refugee Health Elective course enhanced their knowledge and competence in refugee health care. Educators, students, and the patient population will benefit from investing in interprofessional education courses that focus on specific needs and complex care management for refugee patients.

Advanced Diabetes Technology Remains Underutilized in Underserved Populations: Early Hybrid Closed-Loop System Experience at an Academic Safety Net Hospital.

We retrospectively evaluated outcomes of the Minimed Medtronic 670G system in an academic urban safety-net population of adults with type 1 diabetes, between September 2016 and January 2020. Among 32 patients prescribed the 670G, the majority were female (69%), white (69%), achieved advanced degrees (56%), were commercially insured (94%), and were experienced pump users (84%). Patients who initiated auto-mode demonstrated significant improvement in A1c after 1 year. However, 31% of patients never initiated auto-mode. Black and Hispanic patients comprised 50% of this group, despite similar insurance coverage, diabetes duration, educational level, and prior pump use. Hence, traditional barriers to technology use do not explain these racial/ethnic disparities. Of 22 patients who initiated auto-mode, 5 discontinued within 1 year. The most common reason for discontinuation was frustration with pump-sensor interactions. Future studies identifying barriers to and strategies for increasing use of advanced insulin delivery systems in underserved populations are needed.

Comparison of Factors Identified by Patients and Physicians Associated with Hospital Readmission (COMPARE2).

OBJECTIVE: Factors contributing to hospital readmission have rarely been sought from the patient perspective. Furthermore, it is unclear how patients and physicians compare in identifying factors contributing to readmission. The objective of the study was to identify and compare factors contributing to hospital readmission identified by patients and physicians by surveying participants upon hospital readmission to a teaching medicine service. METHODS: Patients 18 years and older who were discharged and readmitted to the same service within 30 days and the physicians caring for these patients were surveyed to identify factors contributing to readmission. Secondary outcomes included comparing responses between groups and determining level of agreement. Patients could be surveyed multiple times on subsequent readmissions; physicians could be surveyed for multiple patients. RESULTS: A total of 131 patients and 37 physicians were consented. The mean patient age was 60.1 years (standard deviation 16.8 years) and 55.6% were female; 56.4% were white, and 42.1% were black/African American. In total, 179 patient surveys identified "multiple medical problems" (48.6%), "trouble completing daily activities" (45.8%), and "discharged too soon" (43.6%) most frequently as contributing factors; 231 physician surveys identified "multiple medical problems" (45.0%) and "medical condition too difficult to care for at home" (35.6%) most frequently as contributing factors. Paired survey results were available for 135 readmissions and showed fair agreement for only 1 factor but no agreement for 5 factors. CONCLUSIONS: Patients identified previously unknown factors contributing to readmission. Little agreement existed between patients and physicians. Additional research is needed to determine how best to address patient-identified factors contributing to readmission.

Are Patients Frequently Readmitted to the Hospital Different from the Other Admitted Patients?

INTRODUCTION: Although the characteristics of readmitted patients associated with a family medicine inpatient service have been reported, differing characteristics between groups of patients based on readmission rates have not been studied. The aim of this project was to examine patients with differing rates of readmission. METHODS: Patients admitted to a family medicine inpatient service were classified into 1 of 3 groups based on the number of admission and readmissions in a given year. Demographic data and other characteristics of these patients were collected and used in analysis. Descriptive statistics were used to characterize the 3 groups of admissions. Differences in characteristics of groups were compared using Wilcoxon rank sum test for continuous variables and χ2 test or Fisher exact test for categoric variables. Multivariate logistic regressions were used for predicting high-frequency readmission. RESULTS: Patients in the high-frequency readmission group more commonly had a psychiatric, substance abuse, and chronic pain diagnosis. The primary discharge diagnoses among the 3 groups were similar. Age-group, Charlson severity index, Morse Fall Scale medication list, and problem list were significant for predicting high frequency of readmission. Annually, patients in the high-frequency readmission group had about an 80% turnover rate. CONCLUSIONS: Although this study examined patient care data from only one large academic health center hospital, the results found that patients who experience 3 or more readmissions in a calendar are associated with specific characteristics. In addition, the list of specific individual patients considered to be high utilizers for hospital readmissions was dynamic and significantly changed during 3 consecutive years.

What Are the Characteristics of Fourth-Year Medical Students With Higher Levels of Resilience?

INTRODUCTION: Burnout during medical training, including medical school, has gained attention in recent years. Resiliency may be an important characteristic for medical students to have or obtain. The aim of this study was to examine the level of resiliency in fourth-year medical students and whether certain characteristics were associated with students who have higher levels of resiliency. METHODS: Subjects were fourth-year medical students who completed a survey during a required end-of-year rotation. The survey collected subjects' demographic information including age, gender, race, ethnicity, marital status, and chosen specialty. They were also asked to complete the Brief Resilience Scale (BRS) and answer questions that assessed personal characteristics. RESULTS: The response rate was 92.4%. Most respondents had personal time for themselves after school (92.6%), exercise or participate in physical activity for at least 30 minutes most days of the week (67.2%), were able to stop thinking about medical school after leaving for the day (58.2%), and had current financial stress (51.6%). No differences were noted in demographic information among students across specialty categories. A higher BRS score was associated with being male and having the ability to stop thinking about school. CONCLUSIONS: BRS scores in medical students are associated with specific demographic characteristics and the ability to stop thinking about school. Addressing the modifiable activities may assist students with increasing their resiliency and potentially decreasing their risk of burnout.