Dermatology is one of the least racially diverse medical specialties, which extends to Mohs Micrographic Surgery (MMS). Improving representation of diverse racial and ethnic groups within Micrographic Surgery and Dermatologic Oncology (MSDO) fellowships is important for addressing this inequity. The impact of improving diversity in MMS is widespread, and has the potential to improve patient trust, satisfaction, and outcomes in dermatologic oncology care.
This study evaluates racial and ethnic trends among MSDO fellows and program directors in 1996–2000 compared with 2021–2025. The software “rethnicity” was used to predict likely race and ethnicity from the names of all American College of Mohs Surgery (ACMS) fellows and directors listed on the ACMS website from 1996 to 2025. Linear regression was utilized for statistical analysis.
From 1996–2000, 25.1% of Mohs fellows were Asian, compared to 32.6% in 2021–2025, reflecting a statistically significant increase in Asian representation. No statistically significant differences were observed in the proportions of Black (16.4% vs 12.6%), Hispanic (7.2% vs 8.4%), and White (51.3% vs 46.4%) fellows between 1996–2000 vs 2021–2025, respectively. Among program directors, the proportion of Asian directors had a statistically significant increase from 15.5% in 1996–2000 to 25.2% in 2021–2025. Hispanic program directors also increased from 1.4% to 4.5%. Conversely, there was a statistically significant decrease in White program directors, from 70.4% to 54.1%. Among program directors, 12.7% were Black in 1996–2000, while 16.2% were black in 2021–2025, representing no statistically significant difference.
A limitation of this study is the absence of self-reported racial and ethnic backgrounds, as “rethnicity” infers race and ethnicity based on names. Although “rethnicity” has been validated on large voter registration datasets and demonstrates strong predictive accuracy, its probabilistic design may introduce misclassifications. Despite this limitation, name-based inferences provide a practical and reproduceable approach for evaluating large datasets when self-reported demographic data are unavailable, allowing assessment of longitudinal trends that would otherwise remain unexamined.
Our findings underscore the persistently low representation of individuals underrepresented in medicine (URiM) among MSDO fellows and fellowship directors. Efforts to diversify the MMS pipeline must remain a priority as the specialty continues to grow.