Evidence map›Paper›PMID 34178258›Full record

ArticleJournal of graduate medical education2021

Race and Gender Bias in Internal Medicine Program Director Letters of Recommendation.

Neil Zhang, Sarah Blissett, David Anderson, Patricia O'Sullivan, Atif Qasim

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of Gender Bias in Psychiatry Residency Letters of Recommendation.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
    Article
  4. Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees.MedEdPORTAL : the journal of teaching and learning resources · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Neil Zhangis Clinical Instructor, Department of Medicine, University of California, San Francisco.
Sarah Blissettis Assistant Professor, Division of Cardiology, Department of Medicine, and Centre for Education Research and Innovation, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
David Andersonis a Cardiology Fellow, Division of Cardiology, Department of Medicine, University of California, San Francisco.
Patricia O'Sullivanis Professor, School of Medicine, University of California, San Francisco.
Atif Qasimis Cardiology Fellowship Program Director and Associate Professor, Division of Cardiology, Department of Medicine, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile program director (PD) letters of recommendation (LOR) are subject to bias, especially against those underrepresented in medicine, these letters are one of the most important factors in fellowship selection. Bias manifests in LOR in a number of ways, including biased use of agentic and communal terms, doubt raising language, and description of career trajectory. To reduce bias, specialty organizations have recommended standardized PD LOR.

objectiveThis study examined PD LOR for applicants to a cardiology fellowship program to determine the mechanism of how bias is expressed and whether the 2017 Alliance for Academic Internal Medicine (AAIM) guidelines reduce bias.

methodsFifty-six LOR from applicants selected to interview at a cardiology fellowship during the 2019 and 2020 application cycles were selected using convenience sampling. LOR for underrepresented (Black, Latinx, women) and non-underrepresented applicants were analyzed using directed qualitative content analysis. Two coders used an iteratively refined codebook to code the transcripts. Data were analyzed using outputs from these codes, analytical memos were maintained, and themes summarized.

resultsWith AAIM guidelines, there appeared to be reduced use of communal language for underrepresented applicants, which may represent less bias. However, in both LOR adherent and not adherent to the guidelines, underrepresented applicants were still more likely to be described using communal language, doubt raising language, and career trajectory bias.

conclusionsPDs used language in a biased way to describe underrepresented applicants in LOR. The AAIM guidelines reduced but did not eliminate this bias. We provide recommendations to PDs and the AAIM on how to continue to work to reduce this bias.

Indexed as

Internship and ResidencySexismFellowships and ScholarshipsFemaleHumansInternal MedicineMalePersonnel Selection

Identifiers

PMID34178258
PMCPMC8207902

What OpenQuestion holds

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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.