Discrepancies in Gender Representation Between Integrated and Independent Plastic Surgery Programs

Despite increasing female representation in integrated plastic surgery training programs, independent programs have lower representation and slow improvement in female enrollment. Self-reported resident data were used to investigate trends of female representation in integrated and independent programs.

Data were collected from Accreditation Council of Graduate Medical Education resources of active residents' characteristics. Self-reported gender data were collected for integrated, independent, and general surgery programs from annual reports since 2009. χ2 analysis was conducted to compare female enrollment of integrated programs, independent programs, general surgery programs, and general surgery programs with matriculation-year adjustment.

In 2008, 89 independent programs had nearly identical percentage of female enrollment with 30 integrated programs at 23.8% and 23.1%, respectively. Differences in representation between independent and integrated programs became significant in 2012, with independent programs demonstrating 25.1% female enrollment compared with 30.5% in integrated programs. This trend of higher female representation in integrated programs has persisted since 2012. To correct for preexisting disparity in general surgery programs, we compared female enrollment of independent programs with female enrollment of that class' general surgery matriculation-year 5 years earlier. In all examined years, general surgery still had proportionally higher female enrollment compared with independent programs, even with conservative 5-year matriculation adjustment.

Dramatic differences in female enrollment were found between integrated and independent programs, with representation in integrated programs rising more quickly. Adjustments for previous rates of female enrollment in general surgery did not yield explanation for low independent program enrollment. Increasing female representation in independent training models will continue to create a more diverse workforce.