Contribution of gender on compensation of Veterans Affairs-affiliated dermatologists: A cross-sectional study.

Abstract

BackgroundGender disparity in research funding, leadership, authorship, and compensation in medicine is well documented, with most parameters favoring men over women. Gender differences in salary in dermatology have not been well studied.ObjectiveThis study aimed to investigate the contribution of gender to dermatologists’ compensation in the Veterans Affairs (VA) health care system.MethodsA retrospective cross-sectional study was conducted by identifying VA-affiliated dermatologists from the U.S. Department of VA website. The contributions of gender, years since graduation, h-index, academic appointment, race, and region on the publicly available salaries were analyzed using a linear-regression model to isolate the effects of gender and interaction with other variables.ResultsThis study included 247 VA dermatologists with publicly available salaries (114 women and 133 men). On univariate analyses, male dermatologists had significantly higher compensation than female dermatologists (p = .0333). However, male dermatologists also had significantly more years since graduation (p < .0001) and higher h-indices (p < .0001). Multivariate analysis showed that gender was not a significant contributor to salary. Instead, years since graduation (p < .0001), h-index (p = .0066), and academic appointment (p < .0001) contributed significantly to VA dermatologists’ salaries. Region and race were not determinants of salary. Gender did not contribute to salary overall, but there was an interactive effect between gender and region (p = .0099). Compared with women, male dermatologists had significantly higher salaries in the Midwest (p < .0018).ConclusionOur study revealed that VA hospitals have maintained gender equality in dermatologist compensation nationally, which could serve as a model to close salary gender gaps in other health care systems. Further research should focus on inclusion of VA physicians from different specialties, as well as across multiple years, to further characterize this observation.