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Data Disaggregation with American Indian/Alaska Native Population Data

Author

Listed:
  • Tara Becker

    (UCLA Center for Health Policy Research, University of California)

  • Susan H. Babey

    (UCLA Center for Health Policy Research, University of California
    University of California)

  • Rashida Dorsey

    (U.S. Equal Employment Opportunities Commission)

  • Ninez A. Ponce

    (UCLA Center for Health Policy Research, University of California
    University of California)

Abstract

More than any other racial group, American Indian/Alaska Natives (AIAN) face the risk of imprecise survey estimates due to survey processes regarding the classification, tabulation, and weighting of race/ethnicity. Variations in approaches to classifying racial and ethnic populations in federal and state health statistics have substantial implications for how we measure health status, access to healthcare, healthcare quality, and health equity. We identify strategies to improve data capacity for AIAN in federal health surveys by exploring current approaches to collecting and coding of AIANs across eight population-based health surveys (seven federal surveys and the California Health Interview Survey). Our analysis assesses how different coding and weighting decisions affect the classification and measurement of the AIAN population by comparing single-race non-Hispanic/Latino AIAN to more expansive classifications that include not only those reporting AIAN race alone, but also individuals reporting AIAN race in combination with other races and/or in combination with Hispanic/Latino ethnicity. Our results provide insight into the representativeness of each survey on the AIAN population and our ability to draw conclusions about the health of the AIAN population and the health disparities they face. The results show considerable variation across surveys in their measurement of the AIAN population based on survey classification, tabulation, and weighting approaches.

Suggested Citation

  • Tara Becker & Susan H. Babey & Rashida Dorsey & Ninez A. Ponce, 2021. "Data Disaggregation with American Indian/Alaska Native Population Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(1), pages 103-125, February.
    • Handle: RePEc:kap:poprpr:v:40:y:2021:i:1:d:10.1007_s11113-020-09635-2
    DOI: 10.1007/s11113-020-09635-2
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    References listed on IDEAS

    as
    1. Wong, C.A. & Gachupin, F.C. & Holman, R.C. & Macdorman, M.F. & Cheek, J.E. & Holve, S. & Singleton, R.J., 2014. "American Indian and Alaska native infant and pediatric mortality, United States, 1999-2009," American Journal of Public Health, American Public Health Association, vol. 104, pages 320-328.
    2. Johnson, P.J. & Blewett, L.A. & Call, K.T. & Davern, M., 2010. "American Indian/Alaska native uninsurance disparities: A comparison of 3 surveys," American Journal of Public Health, American Public Health Association, vol. 100(10), pages 1972-1979.
    3. Wong, C.A. & Gachupin, F.C. & Holman, R.C. & MacDorman, M.F. & Cheek, J.E. & Holve, S. & Singleton, R.J., 2014. "American Indian and Alaska Native infant and pediatric mortality, United States, 1999-2009," American Journal of Public Health, American Public Health Association, vol. 104(S3), pages 320-328.
    4. Jacobs-Wingo, J.L. & Espey, D.K. & Groom, A.V. & Phillips, L.E. & Haverkamp, D.S. & Stanley, S.L., 2016. "Causes and disparities in death rates among Urban American Indian and Alaska native populations, 1999-2009," American Journal of Public Health, American Public Health Association, vol. 106(5), pages 906-914.
    5. Rebecca Newlin Hutchinson & Sonya Shin, 2014. "Systematic Review of Health Disparities for Cardiovascular Diseases and Associated Factors among American Indian and Alaska Native Populations," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
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    Cited by:

    1. Katherine Leggat-Barr & Fumiya Uchikoshi & Noreen Goldman, 2021. "COVID-19 risk factors and mortality among Native Americans," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(39), pages 1185-1218.

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