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Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort.
Etingen, Bella; Amante, Daniel J; Martinez, Rachael N; Smith, Bridget M; Shimada, Stephanie L; Richardson, Lorilei; Patterson, Angela; Houston, Thomas K; Frisbee, Kathleen L; Hogan, Timothy P.
Afiliación
  • Etingen B; eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.
  • Amante DJ; Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States.
  • Martinez RN; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
  • Smith BM; eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.
  • Shimada SL; Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States.
  • Richardson L; eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.
  • Patterson A; Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States.
  • Houston TK; Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
  • Frisbee KL; eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.
  • Hogan TP; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
J Particip Med ; 12(3): e21214, 2020 Sep 30.
Article en En | MEDLINE | ID: mdl-33044944
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prevalence_studies Idioma: En Revista: J Particip Med Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prevalence_studies Idioma: En Revista: J Particip Med Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos