Improving Prediction of Long-Term Care Utilization Through Patient-Reported Measures: Cross-Sectional Analysis of High-Need U.S. Veterans Affairs Patients.

Jacobs, Josephine C; Maciejewski, Matthew L; Wagner, Todd H; Van Houtven, Courtney H; Lo, Jeanie; Greene, Liberty; Zulman, Donna M

Jacobs, Josephine C; Maciejewski, Matthew L; Wagner, Todd H; Van Houtven, Courtney H; Lo, Jeanie; Greene, Liberty; Zulman, Donna M.

Jacobs JC; VA Palo Alto Health Care System, Menlo Park, CA, USA.
Maciejewski ML; Stanford University School of Medicine, Stanford, CA, USA.
Wagner TH; Durham Veterans Affairs Health Care System, NC, USA.
Van Houtven CH; Duke University, Durham, NC, USA.
Lo J; VA Palo Alto Health Care System, Menlo Park, CA, USA.
Greene L; Stanford University School of Medicine, Stanford, CA, USA.
Zulman DM; Durham Veterans Affairs Health Care System, NC, USA.

Med Care Res Rev ; 79(5): 676-686, 2022 10.

Article en En | MEDLINE | ID: mdl-34906010

Asunto(s)

Cuidados a Largo Plazo; Veteranos; Actividades Cotidianas; Estudios Transversales; Humanos; Medición de Resultados Informados por el Paciente; Estados Unidos; United States Department of Veterans Affairs

Palabras clave

administrative data; aging; long-term care; survey research; utilization

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Veteranos / Cuidados a Largo Plazo Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article

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