ArticleJournal of surgical education2023
Barriers in Ophthalmology Residency Applications for Students Identifying as Underrepresented in Medicine: A San Francisco Match Analysis.
Article in Journal of surgical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Designing and Implementing a Pilot Anti-racism and Structural Competency Assessment for Graduate Medical Admissions.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- The Wicked Problem of Selection and Competency-Based Education: Applying TRIZ Inversion to the Graduate Medical Education Selection Process.Perspectives on medical education · 2026Article
- Representation Quotients to Examine Diversity in Ophthalmology Residency Applicants and Matriculants.JAMA ophthalmology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
objectiveThere is a significant lack of ophthalmologists who self-identify as underrepresented in medicine (URiM) in the physician workforce. Prior literature has revealed bias in traditional metrics for selection relied on by resident programs such as United States Medical Licensing Examination (USMLE) scores, letters of recommendation (LOR), and induction into medical honors societies such as Alpha Omega Alpha (AOA). The purpose of this study was to elucidate race-based differences in word usage within ophthalmology residency letters of recommendation that may disproportionately affect URiM applicants.
designThis was a retrospective, cohort study.
settingThis was a multicenter study across the Wilmer Eye Institute at Johns Hopkins, the University of California San Francisco, and the University of North Carolina at Chapel Hill.
participantsSan Francisco (SF) Match applications submitted to three ophthalmology residency programs between 2018 and 2020 were reviewed. URiM status, USMLE Step 1 score, and AOA membership were recorded. Letters of recommendation were analyzed using text analysis software. T-tests and chi-squared or Fisher's exact tests were used to compare continuous and categorical variables, respectively. Frequency of word/summary term usage in letters of recommendation were the main outcome measures.
resultsRelative to non-URiM applicants, URiM applicants had lower USMLE Step 1 scores (mean difference=7.0; p<0.001). Non-URiM letters of recommendation were more likely to describe applicants as "dependable" (p=0.009) and highlight "research" (p=0.046). URiM letters were more likely to describe applicants as "warm" (p=0.02) and "caring" (p=0.02).
conclusionsThis study identified potential barriers for URiM ophthalmology residency applicants which can help guide future interventions to increase workforce diversity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.