Abstract

A pronounced gender imbalance is evident among orthopaedic surgeons. In the field of arthroplasty, there exists a dearth of comprehensive data regarding gender representation. This study aimed to analyze the gender diversity, or lack thereof, within the field of total hip arthroplasty (THA). In addition, this study used literature review to identify possible reasons for the gender disparity among THA surgeons and identify the best next steps to promote gender equity within orthopaedics. A retrospective analysis was conducted using the Medicare Provider Utilization and Payment Data: Physician and Other Practitioners data set to quantify orthopaedic surgeons who performed primary THA procedures from 2013 to 2020. To assess trends in the number of hip surgeons by sex and the evolving female-to-male ratio, two-sided correlated Mann-Kendall tests were conducted. Overall, 3,853 to 4,550 surgeons billed for primary THA annually. Of this number, an average of 1.7% was female. The mean number of services billed for by male surgeons was 31.62 ± 24.78 per year and by female surgeons was 26.43 ± 19.49 per year. Trend analysis of female-to-male ratio demonstrated an increasing trend of statistical significance (P = 0.009). The average number of procedures by female surgeons annually remained stable throughout the study, whereas there was a steady increase in that for male surgeons. Results showed a notable and sustained upward trajectory from 2013 to 2020 in the number of female surgeons billing for THA along with the female-to-male ratio. However, female surgeons constitute a mere 2% of surgeons engaging in primary THA billing. Furthermore, the annual average number of THAs conducted by female surgeons exhibited constancy, whereas there was a gradual increase in the median number of annual procedures performed by their male counterparts. Future studies should aim to identify and resolve specific barriers prohibiting female medical students from pursuing and obtaining a career as an orthopaedic THA surgeon. Retrospective analysis using the Medicare Provider Utilization and Payment Data: Physician and Other Practitioners data set.

Full Text
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