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1.
Med Care ; 56(11): 934-943, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30256281

RESUMO

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. RESEARCH METHODS AND DATA: This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 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.


Assuntos
Etnicidade/estatística & dados numéricos , Hospitais/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Centers for Medicare and Medicaid Services, U.S./estatística & dados numéricos , Escolaridade , Humanos , Modelos Logísticos , Medicaid/estatística & dados numéricos , Risco Ajustado , Fatores de Risco , Determinantes Sociais da Saúde/etnologia , Fatores Socioeconômicos , Estados Unidos
2.
Health Aff (Millwood) ; 37(10): 1546-1554, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30273026

RESUMO

The State of Maryland implemented the Health Enterprise Zone Initiative in 2013 to improve access to health care and health outcomes in underserved communities and reduce health care costs and avoidable hospital admissions and readmissions. In each community the Health Enterprise Zone Initiative was a collaboration between the local health department or hospital and community-based organizations. The initiative was designed to attract primary care providers to underserved communities and support community efforts to improve health behaviors. It deployed community health workers and provided behavioral health care, dental services, health education, and school-based health services. We found that the initiative was associated with a reduction of 18,562 inpatient stays and an increase of 40,488 emergency department visits in the period 2013-16. The net cost savings from reduced inpatient stays far outweighed the initiative's cost to the state. Implementing such initiatives is a viable way to reduce inpatient admissions and reduce health care costs.


Assuntos
Agentes Comunitários de Saúde , Serviço Hospitalar de Emergência/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde , Custos Hospitalares , Tempo de Internação/estatística & dados numéricos , Área Carente de Assistência Médica , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Maryland , Pessoa de Meia-Idade , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Atenção Primária à Saúde/métodos , Adulto Jovem
3.
Psychiatr Rehabil J ; 39(2): 137-46, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-27054900

RESUMO

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: Semistructured 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 nonclinical 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. (PsycINFO Database Record


Assuntos
Terapia Comportamental , Transtornos Mentais , Redução de Peso , Atividades Cotidianas , Humanos , Pesquisa Qualitativa
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