Implicit and explicit racial prejudice among medical professionals: updated estimates from a population-based studyResearch in context

Summary: Background: Prior research provides evidence of implicit and explicit anti-Black prejudice among US physicians. However, we know little about whether racialized prejudice varies among physicians and non-physician healthcare workers relative to the general population. Methods: Using ordinary...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Tiffany L. Green (Author), Hoa Vu (Author), Laura E.T. Swan (Author), Dian Luo (Author), Ellen Hickman (Author), Marie Plaisime (Author), Nao Hagiwara (Author)
বিন্যাস: গ্রন্থ
প্রকাশিত: Elsevier, 2023-05-01T00:00:00Z.
বিষয়গুলি:
অনলাইন ব্যবহার করুন:Connect to this object online.
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_ccf84b35e2d648ce93c8580b7e5a569f
042 |a dc 
100 1 0 |a Tiffany L. Green  |e author 
700 1 0 |a Hoa Vu  |e author 
700 1 0 |a Laura E.T. Swan  |e author 
700 1 0 |a Dian Luo  |e author 
700 1 0 |a Ellen Hickman  |e author 
700 1 0 |a Marie Plaisime  |e author 
700 1 0 |a Nao Hagiwara  |e author 
245 0 0 |a Implicit and explicit racial prejudice among medical professionals: updated estimates from a population-based studyResearch in context 
260 |b Elsevier,   |c 2023-05-01T00:00:00Z. 
500 |a 2667-193X 
500 |a 10.1016/j.lana.2023.100489 
520 |a Summary: Background: Prior research provides evidence of implicit and explicit anti-Black prejudice among US physicians. However, we know little about whether racialized prejudice varies among physicians and non-physician healthcare workers relative to the general population. Methods: Using ordinary least squares models and data from Harvard's Project Implicit (2007-2019), we assessed the associations between self-reported occupational status (physician, non-physician healthcare worker) and implicit (N = 1,500,268) and explicit prejudice (N = 1,429,677) toward Black, Arab-Muslim, Asian, and Native American populations, net of demographic characteristics. We used STATA 17 for all statistical analyses. Findings: Physicians and non-physician healthcare workers exhibited more implicit and explicit anti-Black and anti-Arab-Muslim prejudice than the general population. After controlling for demographics, these differences became non-significant for physicians but remained for non-physician healthcare workers (β = 0.027 and 0.030, p < 0.01). Demographic controls largely explained anti-Asian prejudice among both groups, and physicians and non-physician healthcare workers exhibited comparatively lower (β = −0.124, p < 0.01) and similar levels of anti-Native implicit prejudice, respectively. Finally, white non-physician healthcare workers exhibited the highest levels of anti-Black prejudice. Interpretation: Demographic characteristics explained racialized prejudice among physicians, but not fully among non-physician healthcare workers. More research is needed to understand the causes and consequences of elevated levels of prejudice among non-physician healthcare workers. By acknowledging implicit and explicit prejudice as important reflections of systemic racism, this study highlights the need to understand the role of healthcare providers and systems in generating health disparities. Funding: UW-Madison Centennial Scholars Program, Society of Family Planning Research Fund, UW Center for Demography and Ecology, the County Health Rankings and Roadmaps Program and the National Institutes of Health (NIH). 
546 |a EN 
690 |a Structural racism 
690 |a Implicit prejudice 
690 |a Explicit prejudice 
690 |a Discrimination 
690 |a Healthcare 
690 |a Health disparities 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n The Lancet Regional Health. Americas, Vol 21, Iss , Pp 100489- (2023) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2667193X23000637 
787 0 |n https://doaj.org/toc/2667-193X 
856 4 1 |u https://doaj.org/article/ccf84b35e2d648ce93c8580b7e5a569f  |z Connect to this object online.