The increasing diversity in the US population is reflected in the patients who healthcare professionals treat. Unfortunately, this diversity is not always represented by the demographic characteristics of healthcare professionals themselves. Patients from underrepresented groups in the United States can experience the effects of unintentional cognitive (unconscious) biases that derive from cultural stereotypes in ways that perpetuate health inequities. Unconscious bias can also affect healthcare professionals in many ways, including patient-clinician interactions, hiring and promotion, and their own interprofessional interactions. The strategies described in this article can help us recognize and mitigate unconscious bias and can help create an equitable environment in healthcare, including the field of infectious diseases.
As educators, researchers, clinicians, and administrators, faculty serve pivotal roles in academic medical centers (AMCs). Thus, the quality of faculty members’ experiences is inseparable from an AMC’s success. In seeking new methods to assess equity in advancement in academic medicine, the authors developed the Rank Equity Index (REI)—adapted from the Executive Parity Index, a scale previously implemented within the business sector—to examine national data on gender and racial/ethnic equity across faculty ranks. The REI was employed on self-reported demographic data, collected by the Association of American Medical Colleges, from U.S. medical school faculty in 2017, to make pairwise rank comparisons of the professoriate by demographic characteristics and department. Overall results indicated that women did not attain parity at any pairwise rank comparison, while men were above parity at all ranks. Similar results were observed across all departments surveyed: women in the basic sciences had REIs closest to parity, women in pediatrics had the highest representation but had REIs that were further from parity than REIs in the basic sciences, and women in surgery demonstrated the lowest REIs. Nationally, REIs were below 1.00 for all racial/ethnic group rank comparisons except for White and, in one case, multiple-race non-Hispanic/Latinx. Across all analyzed departments, Black/African American, Asian, Hispanic/Latinx, and multiple-race Hispanic/Latinx faculty had REIs below parity at all ranks except in 2 cases. In a comparison of 2017 and 2007 data, REIs across both race/ethnicity and gender were lower in 2007 for nearly all groups. REI analyses can highlight inequities in faculty rank that may be masked when using aggregate faculty proportions, which do not account for rank. The REI provides AMCs with a new tool to better analyze institutional data to inform efforts to increase parity across all faculty ranks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.