评估和评估ABATE框架,以加强隐含偏见培训在医学院的虚拟面试
Veda Nagubandi1, Caleb C McKinney2, Nicole M Houle3
1Research Fellow, Office of Diversity, Equity, Inclusion, & Belonging, Georgetown University School of Medicine.
概括
虚拟面试中的隐含偏见可能会影响医学院招生. 在ABATE研讨会有效培训面试人员识别和减轻这些偏见,促进更公平的评估.
科学领域:
- 医学教育 医学教育
- 招生程序 招生程序 招生程序
- 隐含偏见研究研究隐含偏见研究
背景情况:
- 隐含的偏见可能会在虚拟面试期间损害医学院招生中的公平性.
- ABATE (基于亲和关系,基于背景,基于外观,基于技术和媒体,基于发音) 的记忆框架确定了关键的偏见类别.
- 缓解隐性偏见对于公平的虚拟面试实践至关重要.
研究的目的:
- 开发和评估一个研讨会教育医学院招生面试官在ABATE模型.
- 为面试人员提供策略,以减轻虚拟面试环境中的隐含偏见.
- 评估研讨会对面试者的态度和知识的影响.
主要方法:
- 关于暗示偏差缓解的ABATE模型进行了长达60分钟的研讨会.
- 在一年内进行了四次研讨会,与217名与会者.
- 基于柯克帕特里克模型的前后问卷评估了研讨会的有效性.
主要成果:
- 与会者报告了ABATE研讨会在尽量减少隐性偏见方面具有很高的实用性和相关性.
- 在对偏见培训,面试信心,偏见意识和缓解策略的应用的反应中观察到显著的改善.
- 关于基于背景的偏见的知识在研讨会后显著增加.
结论:
- 在ABATE研讨会显示显著的希望作为一个有效的工具,以减轻隐含的偏见在虚拟医学院面试.
- 培训干预可以增强面试官的信心和意识,从而导致更公平的录取流程.
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