Evidence map›Paper›PMID 42004218›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2026

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

Kristen Sandgren, Melissa Baranay, Bryan Koestner, Anna Schmitz

Abstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kristen SandgrenClinical Associate Professor, Stead Family Department of Pediatrics, University of Iowa Health Care Stead Family Children's Hospital; Director of Pediatric Medical Student Education, Stead Family Department of Pediatrics, University of Iowa Health Care Stead Family Children's Hospital.ORCID https://orcid.org/0000-0003-1348-617X
Melissa BaranayAssistant Professor, Department of Pediatrics, Wake Forest University School of Medicine.
Bryan KoestnerClinical Associate Professor, Stead Family Department of Pediatrics, University of Iowa Health Care Stead Family Children's Hospital.ORCID https://orcid.org/0000-0003-0987-548X
Anna SchmitzClinical Associate Professor, Stead Family Department of Pediatrics, University of Iowa Health Care Stead Family Children's Hospital.ORCID https://orcid.org/0000-0002-6631-1069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: This workshop was presented 5 times (2 local and 3 national conferences) and was attended by 80 participants, 25 of whom completed the postworkshop survey. The responses were overwhelmingly favorable; all respondents Discussion: This workshop provided an effective toolkit to help participants recognize and limit biased language in narrative evaluations of trainees.

Indexed as

NarrationRacismSexismStudents, MedicalBiasEducationFemaleHumansMaleSurveys and QuestionnairesBiasDiversityEquityEvaluationsFaculty DevelopmentGender EquityInclusionToolkit

Identifiers

PMID42004218
PMCPMC13086828

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.