Smartphone-Based Virtual and Augmented Reality Implicit Association Training (VARIAT) for Reducing Implicit Biases Toward Patients Among Health Care Providers: App Development and Pilot Testing.

IF 3.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR Serious Games Pub Date : 2024-03-07 DOI:10.2196/51310
Jiabin Shen, Alex J Clinton, Jeffrey Penka, Megan E Gregory, Lindsey Sova, Sheryl Pfeil, Jeremy Patterson, Tensing Maa
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Abstract

Background: Implicit bias is as prevalent among health care professionals as among the wider population and is significantly associated with lower health care quality.

Objective: The study goal was to develop and evaluate the preliminary efficacy of an innovative mobile app, VARIAT (Virtual and Augmented Reality Implicit Association Training), to reduce implicit biases among Medicaid providers.

Methods: An interdisciplinary team developed 2 interactive case-based training modules for Medicaid providers focused on implicit bias related to race and socioeconomic status (SES) and sexual orientation and gender identity (SOGI), respectively. The simulations combine experiential learning, facilitated debriefing, and game-based educational strategies. Medicaid providers (n=18) participated in this pilot study. Outcomes were measured on 3 domains: training reactions, affective knowledge, and skill-based knowledge related to implicit biases in race/SES or SOGI.

Results: Participants reported high relevance of training to their job for both the race/SES module (mean score 4.75, SD 0.45) and SOGI module (mean score 4.67, SD 0.50). Significant improvement in skill-based knowledge for minimizing health disparities for lesbian, gay, bisexual, transgender, and queer patients was found after training (Cohen d=0.72; 95% CI -1.38 to -0.04).

Conclusions: This study developed an innovative smartphone-based implicit bias training program for Medicaid providers and conducted a pilot evaluation on the user experience and preliminary efficacy. Preliminary evidence showed positive satisfaction and preliminary efficacy of the intervention.

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基于智能手机的虚拟和增强现实内隐联想训练(VARIAT),用于减少医疗服务提供者对患者的内隐偏见:应用程序的开发和试点测试。
背景:内隐偏见在医疗保健专业人员中与在更广泛的人群中一样普遍,并且与医疗保健质量的降低有很大关系:隐性偏见在医疗保健专业人员中与在更广泛的人群中一样普遍,并且与医疗保健质量的降低有很大关系:研究目标:开发并评估创新移动应用程序 VARIAT(虚拟和增强现实隐性关联培训)的初步效果,以减少医疗补助提供者的隐性偏见:一个跨学科团队为医疗补助提供者开发了两个基于案例的互动培训模块,分别侧重于与种族和社会经济地位(SES)以及性取向和性别认同(SOGI)相关的隐性偏见。模拟训练结合了体验式学习、协助汇报和基于游戏的教育策略。医疗补助提供者(18 人)参与了这项试点研究。研究结果在 3 个方面进行了衡量:培训反应、情感知识以及与种族/社会经济地位或性别、种族和性别平等方面的隐性偏见相关的技能知识:结果:参加者表示,种族/社会经济地位模块(平均分 4.75,标准差 0.45)和性别平等模块(平均分 4.67,标准差 0.50)的培训与他们的工作高度相关。培训后发现,在尽量减少女同性恋、男同性恋、双性恋、跨性别者和同性恋患者的健康差异方面,基于技能的知识有了显著提高(Cohen d=0.72; 95% CI -1.38 to -0.04):本研究为医疗补助提供者开发了一个基于智能手机的创新性隐性偏见培训项目,并对用户体验和初步效果进行了试点评估。初步证据表明,该干预措施具有积极的满意度和初步功效。
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来源期刊
JMIR Serious Games
JMIR Serious Games Medicine-Rehabilitation
CiteScore
7.30
自引率
10.00%
发文量
91
审稿时长
12 weeks
期刊介绍: JMIR Serious Games (JSG, ISSN 2291-9279) is a sister journal of the Journal of Medical Internet Research (JMIR), one of the most cited journals in health informatics (Impact Factor 2016: 5.175). JSG has a projected impact factor (2016) of 3.32. JSG is a multidisciplinary journal devoted to computer/web/mobile applications that incorporate elements of gaming to solve serious problems such as health education/promotion, teaching and education, or social change.The journal also considers commentary and research in the fields of video games violence and video games addiction.
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