Objective The purpose of this study was to evaluate a homeless medical respite pilot program to determine if program participants had health care utilization pattern changes and improved connection to income, housing, and health care resources post program. Design This is a quantitative descriptive pre‐/post‐program evaluation. Sample A total of 29 patients experiencing homelessness and discharged from an acute care hospital in the southeastern United States were provided with housing and nursing case management. Measurements Demographics including age, sex, race, and ethnicity were collected. Connection to primary care, mental health, substance abuse services, income, insurance, and housing were assessed at program entry and completion. Health care utilization and charge and payment data were collected 1 year prior and 1 year post‐respite stay. Results Participants demonstrated reduced hospital admissions (−36.7%) and when admitted, fewer inpatient days (−70.2%) and increased outpatient provider visits (+192.6%). Health care charges for the cohort decreased by 48.6% from the year prior to the program. Housing and income improved. Conclusions The medical respite pilot program was successful in guiding patients to community resources for more appropriate health care at a demonstrated cost savings. Participants also derived benefits in the form of improved housing and income.

Objectives Homelessness is associated with increased morbidity and mortality, as well as increased rates of hospitalizations. Once hospitalized, homeless patients have longer hospital stays than housed persons, and hospital costs have been found to be increased for homeless patients. We sought to describe hospital discharge delays for nonmedical reasons and their relationship to the housing status of participants. Study Design Retrospective chart review of admissions and discharges between January 1 and June 30, 2009 at a large, urban safety net hospital. Methods All inpatients who experienced discharge delays for nonmedical or external causes were participants, and the main measures included length of and reasons for discharge delay. Results Persons identified as homeless constituted 106 (42.9%) of the discharge delays. Homeless patients were younger, more likely to be male, and more likely to be uninsured than housed patients. The unadjusted median number of delay days was significantly longer for homeless (8 days) than housed patients (4 days) (p<0.001). Multivariate analyses demonstrated that homeless patients without a psychiatric diagnosis had 60.1% longer discharge delays than housed patients without a psychiatric diagnosis (p=0.011). Discussion Among patients without psychiatric diagnoses who are medically ready for discharge, homeless patients experience more frequent and longer discharge delays than housed patients. Medical respite care has the potential to decrease unnecessary hospitalization days and improve access to after-hospital services that have proven to be beneficial for this population. Further prospective study of discharge delays may help to establish the cost-effectiveness of respite care.

Objective Depressive symptoms have been associated with myocardial ischemia induced by mental (MSIMI) and exercise (ESIMI) stress in clinically stable ischemic heart disease (IHD) patients, but the association between positive emotions and inducible ischemia is less well characterized. The objective of this study was to examine the associations between ratings of well-being and stress-induced ischemia. Methods Subjects were adult patients with documented IHD underwent mental and exercise stress testing for the Responses of Myocardial Ischemia to Escitalopram Treatment (REMIT) trial. The General Well-Being Schedule (GWBS), with higher scores reflecting greater subjective well-being, and the Center for Epidemiologic Studies Depression Scale (CES-D) were obtained from the REMIT participants. Echocardiography was used to measure ischemic responses to mental stress and Bruce protocol treadmill exercise testing. Data were analyzed using logistic regression adjusting for age, sex, resting left-ventricular ejection fraction (LVEF), and resting wall motion score index, as well as health-related behaviors. Results GWBS scores were obtained for 210 individuals, with MSIMI present in 92 (43.8%) and ESIMI present in 64 (30.5%). There was a significant inverse correlation between GWBS-PE (Positive Emotion subscale) scores and probability of ESIMI (OR = 0.55 (95%CI 0.36 - 0.83), p = .005). This association persisted after additional control for CESD subscales measuring negative and positive emotions and for variables reflecting health-related behaviors. A similar inverse correlation between GWBS-PE and MSIMI was observed, but did not reach statistical significance (OR = 0.81 (95%CI 0.54 – 1.20), p = .28). Conclusion This is, to our knowledge, the first study demonstrating that greater levels of self-reported positive emotions are associated with a lower likelihood of ESIMI among patients with known IHD. Our results highlight the important interface functions of the central nervous and cardiovascular systems and underscore areas for future investigation.

Background: People experiencing homelessness face significant medical and psychiatric illness, yet few studies have characterized the effects of multimorbidity within this population. This study aimed to (a) delineate unique groups of individuals based on medical, psychiatric, and substance use disorder profiles, and (b) compare clinical outcomes across groups.Methods: We extracted administrative data from a health system electronic health record for adults referred to the Durham Homeless Care Transitions program from July 2016 to June 2020. We used latent class analysis to estimate classes in this cohort based on clinically important medical, psychiatric and substance use disorder diagnoses and compared health care utilization, overdose, and mortality at 12 months after referral.Results: We included 497 patients in the study and found 5 distinct groups: “low morbidity” (referent), “high comorbidity,” “high tri-morbidity,” “high alcohol use,” and “high medical illness.” All groups had greater number of admissions, longer mean duration of admissions, and more ED visits in the 12 months after referral compared to the “low morbidity” group. The “high medical illness” group had greater mortality 12 months after referral compared to the “low morbidity” group (OR, 2.53, 1.03–6.16; 95% CI, 1.03–6.16; p = 0.04). The “high comorbidity” group (OR, 5.23; 95% CI, 1.57–17.39; p &lt; 0.007) and “high tri-morbidity” group (OR, 4.20; 95% CI, 1.26–14.01; p &lt; 0.02) had greater 12-month drug overdose risk after referral compared to the referent group.Conclusions: These data suggest that distinct groups of people experiencing homelessness are affected differently by comorbidities, thus health care programs for this population should address their risk factors accordingly.