Evidence map›Paper›PMID 41501516›Full record

ArticleAcademic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry2026

Evaluation of Gender Bias in Psychiatry Residency Letters of Recommendation.

Dana Raml, Anna Kerlek, Kimberly Benavente, Kristin Escamilla, Ashley Walker, Tianwen Ma, Jeffrey J Rakofsky

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Article in Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dana RamlUniversity of Nebraska Medical Center, Omaha, NE, USA. dana.bell@unmc.edu.ORCID http://orcid.org/0000-0002-6995-9602
Anna KerlekThe Ohio State University College of Medicine, Columbus, OH, USA.
Kimberly BenaventeUT Health San Antonio, San Antonio, TX, USA.
Kristin EscamillaDell Medical School, The University of Texas at Austin, Austin, TX, USA.
Ashley WalkerSchool of Community Medicine, University of Oklahoma, Tulsa, OK, USA.
Tianwen MaRollins School of Public Health, Emory University, Atlanta, GA, USA.
Jeffrey J RakofskyEmory University School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveApplying to psychiatry residency has become increasingly competitive over the last decade. As such, increased weight is placed on each application element, including letters of recommendation (LOR). LOR has been shown to be sources of gender bias for applicants in other specialties. No studies currently exist that analyze gender bias in LOR for psychiatry applicants. This study aimed to evaluate the presence of gender bias in LOR for students applying to psychiatry.

methodsLOR for residency applicants to a small to mid-sized university-based psychiatry program from the 2023-2024 residency match cycle was reviewed using linguistic text analysis. The software identified words in 96 thematic categories and word count. Text mining techniques were applied to determine word frequency for male and female letters. Logistic regression analyses were performed.

resultsA total of 975 traditional LOR for male applicants and 764 LOR for female applicants was analyzed. Only the "female reference" and "male reference" categories demonstrated statistical significance. The word frequency analysis indicated no difference in the top ten words written in LOR for male and female applicants. There was no statistical difference in word count for male or female letters, and logistic regression with least absolute shrinkage and selection operator (LASSO) method failed to identify any categories that would be more likely to predict a female letter vs. a male letter.

conclusionA linguistic text analysis of LOR for those applying to a single psychiatry residency program in the U.S. found no meaningful evidence of gender bias.

Indexed as

Correspondence as TopicInternship and ResidencyPsychiatrySchool Admission CriteriaSexismFemaleHumansMalePsychiatristsGender biasLetter of recommendationResidency application

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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.