Individual and program Characteristics May Drive Variability in Outcomes After Caregivers Participate in a Tailored Support Intervention.

Shepherd-Banigan, Megan; Jones, Kelley A; Sullivan, Caitlin; Wang, Ke; Clark, Amy G; Van Houtven, Courtney; Olsen, Jennifer M

Shepherd-Banigan, Megan; Jones, Kelley A; Sullivan, Caitlin; Wang, Ke; Clark, Amy G; Van Houtven, Courtney; Olsen, Jennifer M.

Afiliación

Shepherd-Banigan M; Durham VA Health Care System, Durham, NC, USA.
Jones KA; Department of Population Health Sciences, Duke University, Durham, NC, USA.
Sullivan C; Duke-Margolis Center for Health Policy, Durham, NC, USA.
Wang K; Department of Population Health Sciences, Duke University, Durham, NC, USA.
Clark AG; Durham VA Health Care System, Durham, NC, USA.
Van Houtven C; Department of Population Health Sciences, Duke University, Durham, NC, USA.
Olsen JM; Rosalynn Carter Institute for Caregivers, Georgia Southwestern State University, Americus, GA, USA.

J Appl Gerontol ; 41(8): 1960-1970, 2022 08.

Article en En | MEDLINE | ID: mdl-35575158

Asunto(s)

Cuidadores; Solución de Problemas; Humanos

Palabras clave

burden; caregiving; depression; health outcomes; intervention; machine learning; problem solving; veterans

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Solución de Problemas / Cuidadores Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Appl Gerontol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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