ABSTRACT
BACKGROUND
Racial and ethnically minoritized individuals and women are underrepresented in leadership
roles in academic medicine. Little is known about whether and to what extent these
racial and sex disparities exist in graduate medical education (GME).
OBJECTIVE
To determine whether race-ethnicity and/or the intersection of race-ethnicity and
sex impacts the likelihood of selection as chief resident (CR) in obstetrics and gynecology
(OBGYN) residency programs.
STUDY DESIGN
We performed cross-sectional analyses using data from GME Track, a national resident
database and tracking system. Those included in this analysis were final-year OBGYN
residents in U.S.-based residency programs from 2015-2018. Exposure variables were
self-reported race-ethnicity and sex. The outcome was designation as CR. Logistic
regression was used to estimate the odds of being CR. We tested the following variables
for potential confounding: survey year, U.S. citizenship, medical school type, geographic
region of residency, and Alpha Omega Alpha (AOA) status.
RESULTS
There were 5,128 residents included. Black residents were 21% less likely to be selected
as CR compared to White residents (OR 0.79, 95% CI 0.65-0.96). Females were 19% more
likely to be CR than males (OR 1.19, 95% CI 1.02-1.38). When examining the intersection
of race-ethnicity by sex subgroup, the results revealed some heterogeneity: Among
males, Black individuals had the lowest odds of being CR (OR 0.32, 95% CI 0.17-0.63;
referent White males), while among females, Hispanic individuals were the least likely
to be CR (OR 0.69, 95% CI 0.52-0.92; referent White females). White females were almost
4 times more likely to be CR compared to Black males (OR 3.79, 95% CI 1.97-7.29).
CONCLUSIONS
The odds of being selected chief resident differ significantly by race-ethnicity,
sex and their intersectionality.
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Article info
Publication history
Accepted:
March 1,
2023
Received in revised form:
February 19,
2023
Received:
December 5,
2022
Publication stage
In Press Accepted ManuscriptIdentification
Copyright
© 2023 Elsevier Inc. All rights reserved.
