Integrating social and behavioral determinants of health into population health analytics: A conceptual framework and suggested road map

Zachary Predmore, Elham Hatef, Jonathan P. Weiner

Research output: Contribution to journalArticlepeer-review

Abstract

There is growing recognition that social and behavioral risk factors impact population health outcomes. Interventions that target these risk factors can improve health outcomes. This study presents a review of existing literature and proposes a conceptual framework for the integration of social and behavioral data into population health analytics platforms. The authors describe several use cases for these platforms at the patient, health system, and community levels, and align these use cases with the different types of prevention identified by the Centers for Disease Control and Prevention. They then detail the potential benefits of these use cases for different health system stakeholders and explore currently available and potential future sources of social and behavioral domains data. Also noted are several potential roadblocks for these analytic platforms, including limited data interoperability, expense of data acquisition, and a lack of standardized technical terminology for socio-behavioral factors.

Original languageEnglish (US)
Pages (from-to)488-494
Number of pages7
JournalPopulation health management
Volume22
Issue number6
DOIs
StatePublished - Dec 2019

Keywords

  • population health analytics
  • public health informatics
  • risk prediction
  • social and behavioral determinants of health

ASJC Scopus subject areas

  • Leadership and Management
  • Health Policy
  • Public Health, Environmental and Occupational Health

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