关键词: Medicaid XR augmented reality efficacy extended reality gender identities gender identity gender preference gender preferences health care health care provider health care providers implicit bias implicit bias training program innovative mHealth mobile app mobile application sexual orientation sexual orientations smartphone socioeconomic training virtual reality

来  源:   DOI:10.2196/51310   PDF(Pubmed)

Abstract:
UNASSIGNED: Implicit bias is as prevalent among health care professionals as among the wider population and is significantly associated with lower health care quality.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.
摘要:
内隐偏见在医疗保健专业人员中和在更广泛的人群中一样普遍,并且与较低的医疗保健质量显着相关。
研究目标是开发和评估创新移动应用程序的初步功效,VARIAT(虚拟和增强现实隐含关联训练),减少医疗补助提供者之间的隐性偏见。
一个跨学科团队为医疗补助提供者开发了2个基于案例的交互式培训模块,重点关注与种族和社会经济地位(SES)以及性取向和性别认同(SOGI)相关的内隐偏见。分别。模拟结合了体验式学习,促进汇报,和基于游戏的教育策略。医疗补助提供者(n=18)参与了这项试点研究。结果在3个领域进行了测量:训练反应,情感知识,以及与种族/SES或SOGI中的内隐偏见相关的基于技能的知识。
参与者报告说,种族/SES模块(平均得分4.75,SD0.45)和SOGI模块(平均得分4.67,SD0.50)的培训与他们的工作高度相关。显著提高基于技能的知识,最大限度地减少女同性恋的健康差距,同性恋,双性恋,变性人,训练后发现酷儿患者(科恩d=0.72;95%CI-1.38至-0.04)。
这项研究为医疗补助提供者开发了一项创新的基于智能手机的隐性偏见培训计划,并对用户体验和初步疗效进行了试点评估。初步证据显示干预措施的满意度和初步疗效。
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