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Journal Article

Citation

Benson JM, Ben-Porath EN, Casey LS. Health Serv. Res. 2019; ePub(ePub): ePub.

Affiliation

Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Copyright

(Copyright © 2019, John Wiley and Sons)

DOI

10.1111/1475-6773.13226

PMID

31657001

Abstract

OBJECTIVE: To describe survey methods used to examine reported experiences of discrimination against African Americans, Latinos, Asian Americans, Native Americans, women, and LGBTQ (lesbian, gay, bisexual, transgender, and queer) adults. DATA SOURCE AND STUDY DESIGN: Data came from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017.

METHODS: We examined the survey instrument, sampling design, and weighting of the survey, and present selected survey findings. PRINCIPAL FINDINGS: Examining reported discrimination experienced by multiple groups in a telephone survey requires attention to details of sampling and weighting. In health care settings, 32 percent of African Americans reported discrimination, as did 23 percent of Native Americans, 20 percent of Latinos, 18 percent of women, 16 percent of LGBTQ adults, and 13 percent of Asian Americans. Also, 51 percent of LGBTQ adults, 42 percent of African Americans, and 38 percent of Native Americans reported identity-based violence against themselves or family members; 57 percent of African Americans and 41 percent of women reported discrimination in pay or promotions; 50 percent of African Americans, 29 percent of Native Americans, and 27 percent of Latinos reported being discriminated against in interactions with police.

CONCLUSIONS: Even the small selection of results presented in this article as examples of survey measures show a pattern of substantial reported discrimination against all six groups studied.

© 2019 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust.


Language: en

Keywords

Determinants of Health/Population Health/Socioeconomic Causes of Health; Racial/Ethnic Differences in Health and Health Care; Survey Research and Questionnaire Design

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