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, Elizabeth M Rojo, Savanna Harris, Kelly D Taylor, Michael J A Reid
{"title":"评估一种新的虚拟现实培训干预措施,以解决医疗工作者的内隐偏见,使用实施科学框架。","authors":"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, Elizabeth M Rojo, Savanna Harris, Kelly D Taylor, Michael J A Reid","doi":"10.1371/journal.pone.0331324","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There 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.</p><p><strong>Methods: </strong>CULTIVATE (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.</p><p><strong>Results: </strong>Reach: 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.</p><p><strong>Conclusions: </strong>In 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.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 10","pages":"e0331324"},"PeriodicalIF":2.6000,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12533857/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of a novel virtual reality training intervention to address implicit bias among healthcare workers, using an implementation science framework.\",\"authors\":\"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, Elizabeth M Rojo, Savanna Harris, Kelly D Taylor, Michael J A Reid\",\"doi\":\"10.1371/journal.pone.0331324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There is a link between racial bias and poor health outcomes among Black, Indigenous, and People of Color (BIPOC). 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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.</p><p><strong>Results: </strong>Reach: 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. 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Evaluation of a novel virtual reality training intervention to address implicit bias among healthcare workers, using an implementation science framework.
Background: There 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.
Methods: CULTIVATE (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.
Results: Reach: 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.
Conclusions: In 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.
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