Health inequities are prevalent throughout US society. Within obstetrics and gynecology (OBGYN), Native American or Alaskan Native and non-Hispanic Black women are 3-to 4-fold more likely to have a pregnancy-related death compared with non-Hispanic White women. 1 While addressing these disparities requires multiple strategies, one approach is to increase diversity among health care practitioners, as patient-physician racial/ethnic concordance is associated with increased patient satisfaction and higher levels of trust. 2 Previous research, such as a 2020 study by Nieblas-Bedolla et al, 3 indicates that the OBGYN workforce includes more underrepresented physicians compared with other specialties. By examining current and recent trainees, we can assess recruitment efforts and estimate the future racial and ethnic diversity of the physician workforce. In this cross-sectional study, we examine the contemporary composition and trends in race and ethnicity among OBGYN, surgical, and nonsurgical residents.
MethodsThe University of California, Davis, institutional review board determined that this cross-sectional study was not human participants research; therefore, it was exempt from review and informed consent. We followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.In this cross-sectional study, we abstracted deidentified publicly available data on the race and ethnicity of OBGYN, surgical, and nonsurgical residents from the JAMA Medical Education reports from 2014 to 2019, when multiracial first appeared as a racial category. We utilized the American College of Surgeons definition of a surgical specialty. 4 We analyzed categorical data using χ 2 tests and, for each race and ethnicity, used logistic regression to estimate the dependent variable as the change in odds of a resident identifying as a given race or ethnicity, across year and specialty. Given the small number of residents, we combined Native Hawaiian or Pacific Islander with Native American or Alaskan Native into a single Native category for analysis. We analyzed Hispanic ethnicity separately from race. We used SAS statistical software version 9.4 (SAS Institute) for statistical analysis.