Evidence map›Paper›PMID 34263027›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2021

How Assumptions and Preferences Can Affect Patient Care: An Introduction to Implicit Bias for First-Year Medical Students.

Cristina M Gonzalez, Stephanie Nava, Julie List, Alyssa Liguori, Paul R Marantz

Abstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Cristina M GonzalezProfessor, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine.ORCID 0000-0002-9779-6548
Stephanie NavaResearch Assistant, Department of Medicine, Albert Einstein College of Medicine.
Julie ListPrincipal Associate, Department of Family and Social Medicine, Albert Einstein College of Medicine.
Alyssa LiguoriResearch Assistant, Department of Medicine, Albert Einstein College of Medicine.
Paul R MarantzProfessor, Department of Epidemiology and Population Health, Albert Einstein College of Medicine; Professor, Department of Medicine, Albert Einstein College of Medicine; Associate Dean for Clinical Research Education, Albert Einstein College of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Instruction in implicit bias is becoming prevalent across the spectrum of medical training. Little education exists for preclinical students, and guidance for faculty to facilitate such education is minimal. To address these gaps, we designed and delivered a single session for incoming first-year medical students and developed a facilitator training program. Methods: One faculty member delivered a 1-hour, multimedia, interactive lecture to all first-year medical students. Students subsequently met in small groups with trained facilitators. Activities included reflection, guided debriefing, and strategy identification to become aware of when they might be making an assumption causing them to jump to a conclusion about someone. The program evaluation consisted of aggregated student strategies and facilitator feedback during postsession debriefs, both analyzed through thematic analysis. Results: We delivered instruction to 1,098 students. Student strategies resulted in three themes: (1) humility, (2) reflection, and (3) partnering. The postsession debriefs uncovered opportunities to enhance the session. Lessons learned included presenting material to an entire class at once, allowing students to engage in dynamic discussion in the small groups, eliminating anonymous polling in the small groups, and highlighting management of implicit bias as essential to professional development. Discussion: Our instructional design enabled first-year medical students to identify at least one strategy to use when implicit biases are activated. The large-group session was deliverable by one faculty member, and volunteers successfully facilitated small-group sessions after only one training session, making this model a feasible innovation to reach an entire medical school class at the same time.

Indexed as

Students, MedicalCurriculumFeedbackHumansPatient CarePrejudiceDiversity and InclusionFaculty DevelopmentHealth Care DisparitiesHealth EquityImplicit BiasUnconscious Bias

Identifiers

PMID34263027
PMCPMC8236500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.