Factors associated with matching into retina fellowship: A San Francisco match analysis

Document Type

Article

Department

Medical College Pakistan

Abstract

Purpose: The retina subspecialty has previously shown the lowest rate of matched female and underrepresented in medicine (URiM) applicants. This study was conducted to examine trends in gender and racial/ethnic diversity in retina fellowship applicants and match outcomes from 2021 to 2023.
Methods: Anonymized data of fellowship applicants from 2021-2023 San Francisco match was obtained and stratified by gender, racial/ethnic background, and URiM status. Continuous variables were summarized as median (IQR); categorical variables as counts and percentages. We compared groups with chi square or Fisher exact tests and Wilcoxon rank sum tests. A multivariable logistic regression model was used to assess the association of applicant characteristics with match outcomes.
Results: Among 583 applicants, 172 (29.5%) were female, and 74 (12.7%) were from URiM backgrounds. 398 applicants matched; 106 (26.6%) were female, and 47 (11.8%) had URiM status, with match rates of 61.6% for women and 71.3% for men. Matched applicants submitted more applications (median 34 vs 11, p< 0.001) and completed more interviews (median 14 vs 2, p< 0.001) than those who did not match. The proportion of matched female applicants declined from 38 (30.6%) in 2021 to 33 (23.6%) in 2023, with match rates declining from 62.3% to 56.9%. Female gender (OR 0.52, p = 0.002) was associated with decreased likelihood of matching.
Conclusion: Disparities in the retina fellowship match exist, with under-representation of women and URiM applicants. Monitoring trends can inform efforts to improve representation.

Comments

Pagination, volume and issue no. are not provided by author/publisher

Publication (Name of Journal)

Retina (Philadelphia, Pa.)

DOI

10.1097/IAE.0000000000004997

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