Comparison of Alternative Approaches to Using Race-and-Ethnicity Data in Estimating Differences in Health Care and Social Determinants of Health
Researchers may want to consider AM over MEC when modeling outcomes by race-and-ethnicity given that AM outperforms MEC in predicting racial-and-ethnic differences in proxy SDOH characteristics and is comparably accurate in predicting differences in patient experience. Unlike MEC, AM does not assume that every multiracial person has similar outcomes and that Hispanic persons have similar outcomes irrespective of race.
Authors
- Terrence D. Hill (ORCID: https://orcid.org/0000-0003-3798-7753)
- Robert Weech‐Maldonado (ORCID: https://orcid.org/0000-0002-5005-0909)
- Marc N. Elliott (ORCID: https://orcid.org/0000-0002-7147-5535)
- Amelia M. Haviland (ORCID: https://orcid.org/0000-0003-1068-4031)
- Steven C. Martino (ORCID: https://orcid.org/0000-0002-1514-4133)
- Katrin Hambarsoomian
- Jacob W. Dembosky (ORCID: https://orcid.org/0000-0002-8229-7914)
- Megan K. Beckett
Institutions
- RAND Corporation (US)
- University of Alabama at Birmingham (US)
- Centers for Medicare and Medicaid Services (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- Medical Care
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1097/mlr.0000000000002108
- Citations
- 2
- Primary Topic
- Food Security and Health in Diverse Populations
- Type
- article
- Field-Weighted Citation Impact
- 1.70