WILLIAMS, Jessica H., Gabriel S. TAJEU, Irena ŠTĚPANÍKOVÁ, Lucia D. JUAREZ, April A. AGNE, Jeff STONE and Andrea L. CHERRINGTON. Perceived discrimination in primary care: Does Payer mix matter? Journal of the National Medical Association. National Medical Association, 2023, vol. 115, No 1, p. 81-89. ISSN 0027-9684. Available from: https://dx.doi.org/10.1016/j.jnma.2022.11.001.
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Basic information
Original name Perceived discrimination in primary care: Does Payer mix matter?
Authors WILLIAMS, Jessica H., Gabriel S. TAJEU, Irena ŠTĚPANÍKOVÁ (203 Czech Republic, belonging to the institution), Lucia D. JUAREZ, April A. AGNE, Jeff STONE and Andrea L. CHERRINGTON.
Edition Journal of the National Medical Association, National Medical Association, 2023, 0027-9684.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30218 General and internal medicine
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.300 in 2022
RIV identification code RIV/00216224:14310/23:00133238
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.jnma.2022.11.001
UT WoS 001054062900001
Keywords in English Perceived discrimination; Primary care; Race; Insurance
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 26/1/2024 08:39.
Abstract
Introduction: Previous literature has explored patient perceptions of discrimination by race and insurance status, but little is known about whether the payer mix of the primary care clinic (i.e., that is majority public insurance vs. majority private insurance clinics) influences patient perceptions of race-or insurance-based discrimination. Methods: Between 2015-2017, we assessed patient satisfaction and perceived race-and insurance-based discrimination using a brief, anonymous post-clinic visit survey. Results: Participants included 3,721 patients from seven primary care clinics-three public clinics and four private clinics. Results from unadjusted logistic regression models suggest higher overall reports of race-and insurance-based discrimination in public clinics compared with private clinics. In mulvariate analyses, increasing age, Black race, lower education and Medicaid insurance were associated with higher odds of reporting race-and insurance-based discrimination in both public and private settings. Conclusion: Reports of race and insurance discrimination are higher in public clinics than private clinics. Sociodemographic variables, such as age, Black race, education level, and type of insurance also influence reports of race and insurance-based discrimination in primary care.
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