Data Disaggregation with American Indian/Alaska Native Population Data

Tara Becker (), Susan H. Babey, Rashida Dorsey and Ninez A. Ponce
Additional contact information
Tara Becker: UCLA Center for Health Policy Research, University of California
Susan H. Babey: UCLA Center for Health Policy Research, University of California
Rashida Dorsey: U.S. Equal Employment Opportunities Commission
Ninez A. Ponce: UCLA Center for Health Policy Research, University of California

Population Research and Policy Review, 2021, vol. 40, issue 1, No 6, 103-125

Abstract: 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.

Keywords: American Indian and Alaska Native; Survey methodology; Data collection; Racial/ethnic disparities; Federal surveys (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11113-020-09635-2 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:poprpr:v:40:y:2021:i:1:d:10.1007_s11113-020-09635-2

Ordering information: This journal article can be ordered from
http://www.springer. ... es/journal/11113/PS2

DOI: 10.1007/s11113-020-09635-2

Access Statistics for this article

Population Research and Policy Review is currently edited by D.A. Swanson

More articles in Population Research and Policy Review from Springer, Southern Demographic Association (SDA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().