Comparing Predictive Power of Area-Level Socioeconomic Status Indices Across Health Outcomes and Geographic Levels
Across a range of health outcomes, we find similar predictive power for SDI, SVI, and standardized ADI, ideally measured at census tract level. SDI has the value of being more parsimonious, with similar performance. Non-standardized ADI cannot be recommended.
Authors
- John Meurer (ORCID: https://orcid.org/0000-0001-7139-1289)
- Ronald T. Ackermann (ORCID: https://orcid.org/0000-0002-4006-0070)
- Benjamin W. Weston (ORCID: https://orcid.org/0000-0002-8352-6037)
- Jeff Whittle
- Bernard S. Black (ORCID: https://orcid.org/0000-0002-6499-0600)
- Natalia Barreto (ORCID: https://orcid.org/0000-0001-9832-2873)
- Anna Chorniy
- Lorenzo Franchi (ORCID: https://orcid.org/0009-0007-0916-1723)
- Francesco Maria Rossi
Institutions
- Northwestern University (US)
- University of Illinois Urbana-Champaign (US)
- Medical College of Wisconsin (US)
- Washington University in St. Louis (US)
- Kellogg's (Canada) (CA)
- Northwestern University (PH)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Medical Care
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1097/mlr.0000000000002272
- Citations
- 1
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.17