Integrating social and behavioral determinants of health into patient care and population health at Veterans Health Administration: a conceptual framework and an assessment of available individual and population level data sources and evidence-based measurements.

patient care patient-centered medical home population health social and behavioral determinants of health veterans health administration

Journal

AIMS public health
ISSN: 2327-8994
Titre abrégé: AIMS Public Health
Pays: United States
ID NLM: 101635098

Informations de publication

Date de publication:
2019
Historique:
received: 15 05 2019
accepted: 24 06 2019
entrez: 23 10 2019
pubmed: 23 10 2019
medline: 23 10 2019
Statut: epublish

Résumé

The premise of this project was that social and behavioral determinants of health (SBDH) affect the use of healthcare services and outcomes for patients in an integrated healthcare system such as the Veterans Health Administration (VHA), and thus individual patient level socio-behavioral factors in addition to the neighborhood characteristics and geographically linked factors could add information beyond medical factors mostly considered in clinical decision making, patient care, and population health. To help VHA better address SBDH risk factors for the veterans it cares for within its primary care clinics, we proposed a conceptual and analytic framework, a set of evidence-based measures, and their data source. The framework and recommended SBDH metrics can provide a road map for other primary care-centric healthcare organizations wishing to use health analytic tools to better understand how SBDH affect health outcomes.

Identifiants

pubmed: 31637271
doi: 10.3934/publichealth.2019.3.209
pii: publichealth-06-03-209
pmc: PMC6779595
doi:

Types de publication

Journal Article

Langues

eng

Pagination

209-224

Informations de copyright

© 2019 the Author(s), licensee AIMS Press.

Déclaration de conflit d'intérêts

Conflict of interest: Any recommendations put forth in this paper are the views of the authors and do not necessarily represent the views of the US Department of Veterans Affairs. Veterans Affairs (VA) had no disclosure of potential conflicts of interest.

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Auteurs

Elham Hatef (E)

Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Zachary Predmore (Z)

Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Elyse C Lasser (EC)

Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Hadi Kharrazi (H)

Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Karin Nelson (K)

Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Idamay Curtis (I)

Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.

Stephan Fihn (S)

Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Jonathan P Weiner (JP)

Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Classifications MeSH