Objective The purpose of this study was to describe perceptions of weight loss strategies, benefits, and barriers among persons with serious mental illness who lost weight in the ACHIEVE behavioral weight loss intervention. Methods Semi-structured interviews with 20 ACHIEVE participants were conducted and analyzed using an inductive coding approach. Results Participants perceived tailored exercise sessions, social support, and dietary strategies taught in ACHIEVE – such as reducing portion sizes and avoiding sugar-sweetened beverages – as useful weight loss strategies. Health benefits, improved physical appearance, self-efficacy, and enhanced ability to perform activities of daily living were commonly cited benefits of intervention participation and weight loss. Some participants reported challenges with giving up snack food and reducing portion sizes, and barriers to exercise related to medical conditions. Conclusions and Implications for Practice There is emerging evidence that behavioral weight loss interventions can lead to clinically meaningful reductions in body weight among persons with serious mental illness. The perspective of persons with serious mental illness regarding strategies for, benefits of, and barriers to weight loss during participation in behavioral weight loss programs provide insight into which elements of multicomponent interventions such as ACHIEVE are most effective. The results of this study suggest that tailored exercise programs, social support, and emphasis on non-clinical benefits of intervention participation, such as improvements in self-efficacy and the ability to participate more actively in family and community activities, are promising facilitators of engagement and success in behavioral weight loss interventions for the population with serious mental illness.

Background: The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. Methods: This study analyzes data from CMS, the American Hospital Association (AHA) and the American Community Survey (ACS) for 3,168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. Results: Our results indicate that the probability of being penalized increases with the percentage of Black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital’s share of Medicaid patients and the percent of persons without a high school diploma in the HSA. Conclusions: By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.

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