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Agreement Between Administrative Data and Patients’ Self-Reports of Race/Ethnicity
Open accessAbstract
Objectives. We examined agreement of administrative data with self-reported race/ethnicity and identified correlates of agreement. Methods. We used Veterans Affairs administrative data and VA 1999 Large Health survey race/ethnicity data. Results. Relatively low rates of agreement (approximately 60%) between data sources were largely the result of administrative data from patients whose race/ethnicity was unknown, with least agreement for Native American, Asian, and Pacific Islander patients. After exclusion of patients with missing race/ethnicity, agreement improved except for Native Americans. Agreement did not increase substantially after inclusion of data from individuals indicating multiple race/ethnicities. Patients for whom there was better agreement between data sources tended to be less educated, non–solitary living, younger, and White; to have sufficient food; and to use more inpatient Department of Veterans Affairs (VA) care. Conclusions. Better reporting of race/ethnicity data will improve agreement between data sources. Previous studies using VA administrative data may have underestimated racial disparities.
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“For example, several studies found that the plausibility of the patient race/ethnicity information in their dataset was questionable because the data were incomplete; in other words, plausibility was low because a patient’s race was reported correctly in one area, but as “other” in another.21,86,87”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [86]
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Race and ethnicity of mothers with Spanish surnames
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“In 2003, a study conducted in a Veterans Administration Health System demonstrated that the race and ethnicity assigned by the hospital using surnames corresponded with patients’ self-report status in only 60% of the time (Kressin et al., 2003).”
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Metadata
- Authors
- Kressin, N. R., Chang, B.-H., Hendricks, A., & Kazis, L. E.
- Affiliations
- Boston University (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2003-10
- Volume
- 93
- Issue
- 10
- Pages
- 1734-1739
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC1448042
- OpenAlex
- W2145841259
- Cited by
- 234
- References
- 0
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 7 · 2023: 10 · 2022: 10 · 2021: 11 · 2020: 6 · 2019: 6 · 2018: 5 · 2017: 5 · 2016: 8 · 2015: 18 · 2014: 15 · 2013: 13 · 2012: 11
- FWCI
- 30.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Social Sciences › Anthropology › Race, Genetics, and Society
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- race and ethnicity, self-report, administrative data, data source agreement, veterans, racial disparities, Native Americans, sociodemographic correlates
- MeSH terms
- Demography, Ethnicity, Health Services Research, Hospitals, Veterans, Humans, Patients, Self Concept, Socioeconomic Factors, United States, United States Department of Veterans Affairs, Veterans, Reproducibility of Results, Databases, Factual, Public Health Informatics
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