Using a Spanish surname match to improve identification of Hispanic women in Medicare administrative data
Open accessAbstract
Objective. To assess the effectiveness of a Spanish surname match for improving the identification of Hispanic women in Medicare administrative data in which Hispanics are historically underrepresented. Data Sources. We collected self‐identified race/ethnicity data (N=2,997) from a mailed survey sent to elderly Medicare beneficiaries who resided in 11 geographic areas consisting of eight metropolitan counties and three nonmetropolitan areas (171 counties) in the fall of 2004. The 1990 Census Spanish Surname list was used to identify Hispanics in the Medicare data. In addition, we used data published on the U.S. Census Bureau website to obtain estimates of elderly Hispanics. Study Design. We used self‐identified race/ethnicity as the gold standard to examine the agreement with Medicare race code alone, and with Medicare race code+Spanish surname match. Additionally, we estimated the proportions of Hispanic women and men, in each of the 11 geographic areas in our survey, using the Medicare race code alone and the Medicare race code+Spanish surname match, and compared those estimates with estimates derived from U.S. Census 2000 data. Principal Findings. The Spanish surname match dramatically increased the accuracy of the Medicare race code for identifying both Hispanic and white women, producing improvements comparable with those seen for men. Conclusions. We recommend the addition of a proxy race code in the Medicare data using the Spanish surname match to improve the accuracy of racial/ethnic representation.
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Imputation was recommended not only as a solution for missing data but also to improve the accuracy of implausible data.
“Imputation was recommended not only as a solution for missing data but also to improve the accuracy of implausible data.29,30,36,37,66,71”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [66]
The Conclusions recommend adding a Spanish-surname-based proxy race code to improve the accuracy of racial and ethnic representation in Medicare data. This supports using a proxy to address inaccurate coding, but the paper does not recommend imputation for missing data or describe the codes as implausible data. (LLM, conf=0.77)
Experimental — accuracy not yet measuredMethods involving Spanish surname coding were investigated in several studies to increase the reliability and consistency of data from Hispanic patients.
“Methods involving Spanish surname coding, a close relative of BISG that uses a patient’s last name to guess their ethnicity, were investigated in several studies to increase the reliability and consistency of data from Hispanic patients.29,36,37,66”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [66]
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The quality of social determinants data in the electronic health record: a systematic review
Cook, L. A., Sachs, J., & Weiskopf, N. G. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab199 · Cited by 153 · see citing works
Derose, S. F., Contreras, R., Coleman, K. J., Koebnick, C., & Jacobsen, S. J. (2013) · Medical Care Research and Review · doi:10.1177/1077558712466293 · Cited by 102 · see citing works
Adjaye‐Gbewonyo, D., Bednarczyk, R. A., Davis, R. L., & Omer, S. B. (2014) · Health Services Research · doi:10.1111/1475-6773.12089 · Cited by 63 · see citing works
- Authors
- Wei, I. I., Virnig, B. A., John, D. A., & Morgan, R. O.
- Affiliations
- Michael E. DeBakey VA Medical Center (US)
- University of Minnesota (US)
- University of Washington (US)
- Corresponding author
- Wei, Iris I.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2006-05-05
- Volume
- 41
- Issue
- 4p1
- Pages
- 1469-1481
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- PMC
- PMC1797094
- OpenAlex
- W2110385097
- Cited by
- 78
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 7 · 2017: 2 · 2016: 5 · 2015: 6 · 2014: 4 · 2013: 8 · 2012: 3
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Services Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Health Services Research and Development
- National Institute on Aging (R01AG019284)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Keywords
- Hispanic women, elderly Medicare beneficiaries
- MeSH terms
- Data Collection, Female, Medicare, Hispanic or Latino, Humans, Male, Names, Sensitivity and Specificity, United States
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