Evidence map›Paper›PMID 41105600›Full record

ArticlePloS one2025

Evaluation of a novel virtual reality training intervention to address implicit bias among healthcare workers, using an implementation science framework.

Madelyn Olmos-Rodriguez, Lynhea M Anicete, Nova Wilson, Luis Gutierrez-Mock, Jeremy N Bailenson, Ali Mirzazadeh, Orlando O Harris, Madhavi Dandu, Suzanne Welty, Alicia Fernandez and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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. 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

14 authors.

Madelyn Olmos-RodriguezInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Lynhea M AniceteInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.ORCID https://orcid.org/0000-0003-3374-7613
Nova WilsonInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Luis Gutierrez-MockInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Jeremy N BailensonDepartment of Epidemiology & Biostatistics, UCSF, San Francisco, California, United States of America.
Ali MirzazadehInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Orlando O HarrisCommunity Health Systems, School of Nursing, UCSF, San Francisco, California, United States of America.
Madhavi DanduInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Suzanne WeltyInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Alicia FernandezDivision of General Internal Medicine, Department of Medicine, UCSF, San Francisco, California, United States of America.
Elizabeth M RojoInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-3640-3069
Savanna HarrisInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.
Kelly D TaylorInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-7785-1397
Michael J A ReidInstitute for Global Health Sciences, University of California (UCSF), San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-6777-9619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a link between racial bias and poor health outcomes among Black, Indigenous, and People of Color (BIPOC). We aimed to design and evaluate a novel pilot virtual reality (VR) training program to reduce racial bias among healthcare providers in a university healthcare system.

methodsCULTIVATE (Combatting Unequal Treatment in Healthcare Through Virtual Awareness in Empathy) is a mixed-methods study utilizing virtual reality (VR) training to enhance healthcare providers' empathy towards racially and linguistically discordant patients. Participants included White-identifying clinical providers and graduate-level healthcare students, excluding those not engaged in direct patient care, BIPOC providers, and individuals unable to participate in VR training. Empathy was measured using a situational empathy scale and the Jefferson Empathy Scale (JSE) before and after the intervention, which comprised two VR modules, empathy assessments, and a qualitative interview. Quantitative and qualitative analyses were performed using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to evaluate the program. The RE-AIM model will structure a framework for understanding virtual reality's utility in future healthcare practice.

resultsReach: 30 adults participated, mostly women (n = 21), 47% were physicians, and 8% had no prior implicit bias training. Eighteen participants completed pre- and post-VR empathy assessments and interviews. Effectiveness: There was no significant difference in mean JSE scores pre- (120.7) and post-intervention (122.2), but qualitative data indicated increased emotional responses. Adoption: Participants endorsed the intervention with a mean score of 8 (SD = 2) on a 10-point Likert scale for recommending it to others. Implementation: The program followed the pre-designed protocol. Maintenance: Participants reported improved clinical empathy towards BIPOC patients in qualitative analyses.

conclusionsIn this pilot study, participants found VR training to be acceptable and feasible. A larger sample needs to participate in the intervention to determine effectiveness. Qualitative results demonstrated that VR training enhanced empathy.

Indexed as

Health PersonnelRacismVirtual RealityAdultEmpathyFemaleHumansImplementation ScienceMaleMiddle AgedPilot ProjectsYoung Adult

Identifiers

PMID41105600
PMCPMC12533857

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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.