Original Research

Gender Disparities in Income Among Board-Certified Dermatologists

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References

Work Productivity—Statistically significant differences were found between men and women in hours worked per week in direct patient care (P<.0001) and in patient visits per week (P=.0052), with a higher percentage of men working more than 40 hours per week and men seeing an average of approximately 22 more patients per week than women. In the subgroup of all dermatologists working more than 40 hours per week, a statistically significant difference in income persisted between males and females (P=.0001). Hours worked per week and patient visits per week were statistically significant predictors of income on both univariate and multivariate regression analyses (P<.05)(Table).

Education and Fellowship Training—No significant difference existed between males and females in type of undergraduate school attended, namely public or private institutions (P=.1090), but a significant difference existed within type of medical school education, with a higher percentage of females attending private medical schools (53.03%) compared to males (38.24%)(P=.0045). However, type of undergraduate or medical school attended had no impact on income (P=.9103). A higher percentage of males (27.32%) completed additional advanced degrees, such as a master of business administration or a master of public health, compared to females (16.9%)(P=.0122). However, the completion of additional advanced degrees had no significant impact on income (P=.2379). No statistical significance existed between males and females in number of residencies completed (P=.3236), and residencies completed had no significant impact on income (P=.4584).

Of 397 respondents, approximately one-third of respondents completed fellowship training (36.5%). Fellowships included dermatopathology, surgery/cosmetics, and other (encompassing complex medical, research, transplant, and pediatric dermatology). Although similar percentages of men and women completed fellowship training, men and women differed significantly by type of fellowship completed (P=.0188). There were similar rates of dermatopathology and surgical fellowship completion between genders but almost 3 times the number of females who completed other fellowships. Type of fellowship training was a statistically significant predictor of income on both univariate and multivariate regression analyses (P<.00001 and P<.0001, respectively).

Work Activity—Respondents were asked to estimate the amount of time devoted to general dermatology, dermatopathology, Mohs micrographic surgery, cosmetics, and dermatologic surgery in their practices (Table). Women devoted a significantly higher average percentage of time to cosmetics (7.89%) compared to men (4.52%)(P=.0097). The number of cosmetic procedures performed per week was not statistically significantly different between men and women (P=.8035) but was a significant factor for income on univariate regression analysis (P=.0002). Time spent performing dermatologic surgery, general dermatology, or Mohs micrographic surgery did not significantly differ between men and women but was found to significantly influence income.

Academic Dermatology—Among the respondents working in academic settings, χ2 analysis identified a significant difference in the faculty rank between males and females, with a tendency for lower academic rank in females (P=.0508). Assistant professorship was comprised of 35% of men vs 51% of women, whereas full professorship consisted of 26% of men but only 13% of women. Academic rank was found to be a significant predictor of income, with higher rank associated with higher income (P<.0001 on univariate regression analysis). However, when adjusting for other factors, academic rank was no longer a significant predictor of income (P=.0840 on multivariate regression analysis). No significant difference existed between men and women in funding received from the National Institutes of Health, conduction of clinical trials, or authorship of scientific publications, and these factors were not found to have a significant impact on income.

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