WILLIAMS, Jessica H., Gabriel S. TAJEU, Irena ŠTĚPANÍKOVÁ, Lucia D. JUAREZ, April A. AGNE, Jeff STONE a Andrea L. CHERRINGTON. Perceived discrimination in primary care: Does Payer mix matter? Journal of the National Medical Association. National Medical Association, 2023, roč. 115, č. 1, s. 81-89. ISSN 0027-9684. Dostupné z: https://dx.doi.org/10.1016/j.jnma.2022.11.001.
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Základní údaje
Originální název Perceived discrimination in primary care: Does Payer mix matter?
Autoři WILLIAMS, Jessica H., Gabriel S. TAJEU, Irena ŠTĚPANÍKOVÁ (203 Česká republika, domácí), Lucia D. JUAREZ, April A. AGNE, Jeff STONE a Andrea L. CHERRINGTON.
Vydání Journal of the National Medical Association, National Medical Association, 2023, 0027-9684.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30218 General and internal medicine
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.300 v roce 2022
Kód RIV RIV/00216224:14310/23:00133238
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1016/j.jnma.2022.11.001
UT WoS 001054062900001
Klíčová slova anglicky Perceived discrimination; Primary care; Race; Insurance
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 26. 1. 2024 08:39.
Anotace
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.
VytisknoutZobrazeno: 17. 7. 2024 19:23