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Best of ARM: Evaluating engagement in multisector community health networks: The case of tribal organizations

OBJECTIVE: To quantify variation in public health system engagement with tribal organizations across a national sample of communities and to identify predictors of engagement. DATA SOURCES: We used 2018 National Longitudinal Survey of Public Health Systems data, a nationally representative cohort of...

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Detalles Bibliográficos
Autores principales: Owsley, Kelsey M., Bauer, Kyla L., Mays, Glen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441273/
https://www.ncbi.nlm.nih.gov/pubmed/35620972
http://dx.doi.org/10.1111/1475-6773.14012
Descripción
Sumario:OBJECTIVE: To quantify variation in public health system engagement with tribal organizations across a national sample of communities and to identify predictors of engagement. DATA SOURCES: We used 2018 National Longitudinal Survey of Public Health Systems data, a nationally representative cohort of the US public health systems. STUDY DESIGN: Social network analysis measures were computed to indicate the extent of tribal organization participation in public health networks and to understand the sectors and social services that engage with tribal organizations in public health activities. Two‐part regression models estimated predictors of tribal engagement. DATA COLLECTION: A stratified random sample of local public health agencies was surveyed, yielding 574 respondents. An additional cohort of oversampled respondents was also surveyed to include jurisdictions from the entire state upon the request of their respective state health departments (n = 154). Analyses were restricted to jurisdictions with a nearby American Indian and Alaska Native (AI/AN) serving health facility, yielding a final sample size of 258 local public health systems. PRINCIPAL FINDINGS: When an AI/AN serving health facility was present in the region, tribal organizations participated in 28% of public health networks and 9% of implemented public health activities. Networks with tribal engagement were more comprehensive in terms of the breadth of sectors and social services participating in the network and the scope of public health activities implemented relative to networks without tribal engagement. The likelihood of tribal engagement increased significantly with the size of the AI/AN population, the presence of a tribal facility with Indian Health Service funding in the region, and geographic proximity to reservation land (p < 0.10). CONCLUSIONS: The vast majority of public health networks do not report engagement with tribal organizations. Even when AI/AN serving health facilities are present, reported engagement of tribal organizations remains low.