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US hospital engagement in cross-sector partnerships for population health improvement in socioeconomically distressed counties.
Noh, E; Begun, J W; White, K M; Potthoff, S J.
Afiliação
  • Noh E; Institute of Health Policy and Management, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. Electronic address: enoh4110@snu.ac.kr.
  • Begun JW; Division of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. S.E., Minneapolis, MN, 55455, USA. Electronic address: begun001@umn.edu.
  • White KM; Division of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. S.E., Minneapolis, MN, 55455, USA. Electronic address: kmwhite@umn.edu.
  • Potthoff SJ; Division of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. S.E., Minneapolis, MN, 55455, USA. Electronic address: potth001@umn.edu.
Public Health ; 205: 55-57, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35235880
ABSTRACT

OBJECTIVES:

This study identifies the internal characteristics of hospitals located in counties with poor socioeconomic conditions that develop collaborative partnerships with a wide range of community organizations, including non-health organizations. STUDY

DESIGN:

Cross-sectional study that conducted Chi-square and logistic regression analyses.

METHODS:

Chi-square tests and logistic regression analyses were performed in this cross-sectional research to identify the internal hospital characteristics associated with non-health sector partnership development for hospitals located in U.S. counties in the worst quartile of performance across three socioeconomic conditions. The 2015 American Hospital Association Population Health Survey provided data on hospitals' collaborative arrangements and internal characteristics, including hospital size, teaching status, ownership type, and system affiliation (n = 1,238). The 2014 County Health Rankings were used to identify counties in the worst quartile of performance on educational attainment, unemployment, and child poverty.

RESULTS:

Chi-square analyses show that larger hospitals, teaching hospitals, hospitals that belong to a system, and not-for profit hospitals are significantly and positively correlated with non-health sector collaborative partnerships across one or more of the county indicators of poor socioeconomic conditions. Logistic regression results show that the only significant internal hospital characteristic associated with such partnerships is hospital size, in counties with poor educational attainment and those with high child poverty.

CONCLUSION:

Larger hospitals are more likely to have the resources and strategic perspectives to address community health in counties with poor socioeconomic conditions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde da População Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde da População Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article