Gender-Pay Equity in Academic Neurosurgery at United States Public Universities

摘要

Background Compensation has historically been unequal for men versus women in medical fields, particularly in surgical subspecialties. Objective We analyzed associations between gender and compensation?and identified factors associated with compensation among male and female academic neurosurgeons in the United States (US) public institutions. Methods This is a cross-sectional study of available data for the 2016-2017 fiscal years associated with male and female neurosurgical faculty from public, academic institutions within the US. The data used for analysis included total annual salary, which consisted of the base salary and additional compensation. Other gleaned data included faculty demographics, training, and academic appointments. The male and female neurosurgeons'?data were separated into two respective gender groups and then were compared. Predictors of compensation were identified using univariable?and non-imputed and multiply-imputed multivariable statistical models. Results The cohort was comprised of 460 neurosurgery faculty members (female n=34; male n=426). Total annual salaries were comparable between the genders. Females were more likely to be younger (p=0.001), to have completed neurosurgery training recently (p=0.003), to have had fellowship training (p=0.011), and to have lower?h-indices (p=0.003) compared to males. Males and females differed in academic ranks (p=0.035) and neurosurgical subspecialties (p=0.038). Midwest (a( eta))=-US$337,516.7, p=0.002), South (a( eta)=-US$302,500.5, p=0.003), and West (a( eta)=-US$276,848.8, p=0.005) practices?were independent predictors of lower?annual compensation. Chair position?(a( eta)=US$174,180.3, p=0.019) and associate professorship (a( eta)=US$126,633.4, p=0.037) were?independent predictors of higher?annual compensation. Gender was not a significant predictor of total annual compensation. Conclusions Total salaries were not different between male and female neurosurgeons in public, academic institutions in the US. Gender was not a significant predictor of total annual compensation. This study is applicable to public institutions in states with Freedom of Information Act reporting requirements.