Evidence map›Paper›PMID 38974126›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2024

Decoding the Reference Letter: Strategies to Reduce Unintentional Gender Bias in Letters of Recommendation.

Bethel R Mieso, Jonathan F Barnett, Tiffany M N Otero, Sean W Berquist, Felipe D Perez, Peggy Han, Sumit Bhargava, Anaid Atasuntseva, Lahia Yemane

Abstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees.MedEdPORTAL : the journal of teaching and learning resources · 2026
    Article
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

9 authors.

Bethel R MiesoThird-Year Pediatrics Resident, Department of Pediatrics, Stanford University School of Medicine.ORCID 0000-0002-6542-5398
Jonathan F BarnettClinical Assistant Professor, Division of Pediatric Anesthesiology, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine.ORCID 0000-0003-1980-1767
Tiffany M N OteroAnesthesiologist and Intensivist, Department of Anesthesiology, Ochsner Medical Center.
Sean W BerquistSixth-Year Urology Resident, Department of Urology, Stanford University School of Medicine.ORCID 0000-0002-2464-5060
Felipe D PerezClinical Associate Professor, Division of Pediatric Anesthesiology, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine.ORCID 0000-0001-8316-4278
Peggy HanClinical Associate Professor, Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine.
Sumit BhargavaClinical Professor, Division of Pediatric Pulmonology & Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine.
Anaid AtasuntsevaClinical Instructor, Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine.ORCID 0000-0001-6703-1985
Lahia YemaneClinical Associate Professor, Division of General Pediatrics, Department of Pediatrics, Stanford University School of Medicine.ORCID 0000-0003-4719-0908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a growing body of literature on gender bias in letters of recommendation (LORs) in academic medicine and the negative effect of bias on promotion and career advancement. Thus, increasing knowledge about gender bias and developing skills to mitigate it is important for advancing gender equity in medicine. This workshop aims to provide participants with knowledge about linguistic bias (focused on gender), how to recognize it, and strategies to apply to mitigate it when writing LORs. Methods: We developed an interactive 60-minute workshop for faculty and graduate medical education program directors consisting of didactics, reflection exercises, and group activities. We used a postworkshop survey to evaluate the effectiveness of the workshop. Descriptive statistics were used to analyze Likert-scale questions and a thematic content analysis for open-ended prompts. Results: We presented the workshop four times (two local and two national conferences) with one in-person and one virtual format for each. There were 50 participants who completed a postworkshop survey out of 74 total participants (68% response rate). Ninety-nine percent of participants felt the workshop met its educational objectives, and 100% felt it was a valuable use of their time. Major themes described for intended behavior change included utilization of the gender bias calculator, mindful use and balance of agentic versus communal traits, closer attention to letter length, and dissemination of this knowledge to colleagues. Discussion: This workshop was an effective method for helping participants recognize gender bias when writing LORs and learn strategies to mitigate it.

Indexed as

Correspondence as TopicSexismEducationEducation, Medical, GraduateFemaleHumansMaleSurveys and QuestionnairesAdmissions/SelectionBiasDiversityEquityFaculty DevelopmentGender BiasGender Issues in MedicineInclusionPromotions & Tenure

Identifiers

PMID38974126
PMCPMC11224141

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.