Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees

Introduction: Gender and racial biases continue to be pervasive within the field of medicine. These biases can have significant, lifelong impacts on career trajectory and continue to promote inequities for women and groups that are underrepresented in medicine. There is ample literature demonstrating that a prudent approach to combat these biases is through narrative evaluation of medical trainees. Methods: An interactive workshop was developed for all health care providers, including trainees, who currently have, or will have, responsibility for evaluating medical trainees. Its aim was to provide an evidence-based framework for recognizing implicit biases in narrative evaluations and for adapting language to limit them. A toolkit (Be AWARE Anti-bias Toolkit) was developed from existing literature, highlighting 5 key elements of linguistic bias in narrative evaluations: (1) acknowledge that bias exists; (2) word choice matters; (3) active verbs get the job done; (4) resist raising doubt; and (5) emphasize accomplishments over effort. The workshop included interactive small-group activities, with practice in reading and writing narrative evaluations. A postworkshop evaluation survey was distributed after the session to assess relevance and effectiveness. Results: with the survey questions, indicating they found the session useful, relevant, effective, and worthwhile. Discussion: This workshop provided an effective toolkit to help participants recognize and limit biased language in narrative evaluations of trainees.

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Publication Details

Journal
MedEdPORTAL
Published
2026-04-17
DOI
https://doi.org/10.15766/mep_2374-8265.11594
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
0.00
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article

Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees

Melissa Baranay, Bryan Koestner, Anna Schmitz, Kristen Sandgren
MedEdPORTAL
Clinical Reasoning and Diagnostic Skills
article

Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees

Melissa Baranay, Bryan Koestner, Anna Schmitz, Kristen Sandgren
article en

Abstract

Introduction: Gender and racial biases continue to be pervasive within the field of medicine. These biases can have significant, lifelong impacts on career trajectory and continue to promote inequities for women and groups that are underrepresented in medicine. There is ample literature demonstrating that a prudent approach to combat these biases is through narrative evaluation of medical trainees. Methods: An interactive workshop was developed for all health care providers, including trainees, who currently have, or will have, responsibility for evaluating medical trainees. Its aim was to provide an evidence-based framework for recognizing implicit biases in narrative evaluations and for adapting language to limit them. A toolkit (Be AWARE Anti-bias Toolkit) was developed from existing literature, highlighting 5 key elements of linguistic bias in narrative evaluations: (1) acknowledge that bias exists; (2) word choice matters; (3) active verbs get the job done; (4) resist raising doubt; and (5) emphasize accomplishments over effort. The workshop included interactive small-group activities, with practice in reading and writing narrative evaluations. A postworkshop evaluation survey was distributed after the session to assess relevance and effectiveness. Results: with the survey questions, indicating they found the session useful, relevant, effective, and worthwhile. Discussion: This workshop provided an effective toolkit to help participants recognize and limit biased language in narrative evaluations of trainees.

MedEdPORTALVol. 22
University of Iowa Stead Family Children’s Hospital (US), Wake Forest University (US)
Openalex Percentile: Top 13%
Clinical Reasoning and Diagnostic Skills
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Be AWARE: An Anti-bias Toolkit to Limit Bias in Narrative Evaluation of Medical Trainees — Melissa Baranay, Bryan Koestner, et al. · MedEdPORTAL (2026) | TGRS Research Map | TGRS