Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
In this cross-sectional study, area-based measures predicted health outcomes better than individual socioeconomic measures, and generally predicted health equitably across subpopulations; thus, their use should be considered in conjunction or instead of using individual-level measures for selected health policy applications.
Authors
- Nicole Gladish (ORCID: https://orcid.org/0000-0001-6039-7001)
- Robert L. Phillips (ORCID: https://orcid.org/0000-0001-7882-1560)
- Victoria Udalova (ORCID: https://orcid.org/0000-0003-2239-1439)
- David H. Rehkopf (ORCID: https://orcid.org/0000-0002-7597-6513)
- Aubrey Limburg (ORCID: https://orcid.org/0000-0002-0437-913X)
Institutions
- American Academy of Family Physicians (US)
- United States Census Bureau (US)
- Stanford Health Care (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- JAMA Health Forum
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1001/jamahealthforum.2025.2669
- Citations
- 8
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 17.34