TY - JOUR
T1 - Discrimination in Medical Settings across Populations
T2 - Evidence From the All of Us Research Program
AU - Wang, Vivian Hsing Chun
AU - Cuevas, Adolfo G.
AU - Osokpo, Onome Henry
AU - Chang, Ji Eun
AU - Zhang, Donglan
AU - Hu, Anqing
AU - Yun, Jeongwook
AU - Lee, Adaora
AU - Du, Shilei
AU - Williams, David R.
AU - Pagán, José A.
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/10
Y1 - 2024/10
N2 - Introduction: Discrimination in medical settings (DMS) contributes to healthcare disparities in the United States, but few studies have determined the extent of DMS in a large national sample and across different populations. This study estimated the national prevalence of DMS and described demographic and health-related characteristics associated with experiencing DMS in seven different situations. Methods: Survey data from 41,875 adults participating in the All of Us Research Program collected in 2021–2022 and logistic regression were used to examine the association between sociodemographic and health-related characteristics and self-reported DMS among adults engaged with a healthcare provider within the past 12 months. Statistical analysis was performed in 2023–2024. Results: About 36.89% of adults reported having experienced at least one DMS situation. Adults with relative social and medical disadvantages had higher prevalence of experiencing DMS. Compared to their counterparts, respondents with higher odds of experiencing DMS in at least one situation identified as female, non-Hispanic Black, having at least some college, living in the South, renter, having other living arrangement, being publicly insured, not having a usual source of care, having multiple chronic conditions, having any disability, and reporting fair or poor health, p<0.05. Conclusions: The findings indicate a high prevalence of DMS, particularly among some population groups. Characterizing DMS may be a valuable tool for identifying populations at risk within the healthcare system and optimizing the overall patient care experience. Implementing relevant policies remains an essential strategy for mitigating the prevalence of DMS and reducing healthcare disparities.
AB - Introduction: Discrimination in medical settings (DMS) contributes to healthcare disparities in the United States, but few studies have determined the extent of DMS in a large national sample and across different populations. This study estimated the national prevalence of DMS and described demographic and health-related characteristics associated with experiencing DMS in seven different situations. Methods: Survey data from 41,875 adults participating in the All of Us Research Program collected in 2021–2022 and logistic regression were used to examine the association between sociodemographic and health-related characteristics and self-reported DMS among adults engaged with a healthcare provider within the past 12 months. Statistical analysis was performed in 2023–2024. Results: About 36.89% of adults reported having experienced at least one DMS situation. Adults with relative social and medical disadvantages had higher prevalence of experiencing DMS. Compared to their counterparts, respondents with higher odds of experiencing DMS in at least one situation identified as female, non-Hispanic Black, having at least some college, living in the South, renter, having other living arrangement, being publicly insured, not having a usual source of care, having multiple chronic conditions, having any disability, and reporting fair or poor health, p<0.05. Conclusions: The findings indicate a high prevalence of DMS, particularly among some population groups. Characterizing DMS may be a valuable tool for identifying populations at risk within the healthcare system and optimizing the overall patient care experience. Implementing relevant policies remains an essential strategy for mitigating the prevalence of DMS and reducing healthcare disparities.
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U2 - 10.1016/j.amepre.2024.05.018
DO - 10.1016/j.amepre.2024.05.018
M3 - Article
C2 - 38844146
AN - SCOPUS:85197615412
SN - 0749-3797
VL - 67
SP - 568
EP - 580
JO - American journal of preventive medicine
JF - American journal of preventive medicine
IS - 4
ER -