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Agreement between Administrative Data and Patients' Self-Reports of Race/Ethnicity

Author

Listed:
  • Kressin, N.R.
  • Chang, B.-H.
  • Hendricks, A.
  • Kazis, L.E.

Abstract

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.

Suggested Citation

  • Kressin, N.R. & Chang, B.-H. & Hendricks, A. & Kazis, L.E., 2003. "Agreement between Administrative Data and Patients' Self-Reports of Race/Ethnicity," American Journal of Public Health, American Public Health Association, vol. 93(10), pages 1734-1739.
    • Handle: RePEc:aph:ajpbhl:2003:93:10:1734-1739_0
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    Cited by:

    1. Eric Jensen & Nicholas Jones, 2024. "Measuring the Racial and Ethnic Composition and Diversity of the United States Population: Historical Challenges and Contemporary Opportunities," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    2. Leticia E. Fernandez & Sonya Rastogi & Sharon R. Ennis & James M. Noon, 2015. "Evaluating Race and Hispanic Origin Responses of Medicaid Participants Using Census Data," CARRA Working Papers 2015-01, Center for Economic Studies, U.S. Census Bureau.
    3. Heather J H Edgar & Shamsi Daneshvari & Edward F Harris & Philip J Kroth, 2011. "Inter-Observer Agreement on Subjects' Race and Race-Informative Characteristics," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-8, August.

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