MedEdPORTAL (Jul 2024)

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

DOI
https://doi.org/10.15766/mep_2374-8265.11419
Journal volume & issue
Vol. 20

Abstract

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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.

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