Young Meredith E, Thomas Aliki, Varpio Lara, Razack Saleem I, Hanson Mark D, Slade Steve, Dayem Katharine L, McKnight David J
Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
Centre for Medical Education, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
Perspect Med Educ. 2017 Apr;6(2):82-90. doi: 10.1007/s40037-017-0341-5.
Several national level calls have encouraged reconsideration of diversity issues in medical education. Particular interest has been placed on admissions, as decisions made here shape the nature of the future physician workforce. Critical analysis of current practices paired with evidence-informed policies may counter some of the barriers impeding access for underrepresented groups.
We present a framework for diversity-related program development and evaluation grounded within a knowledge translation framework, and supported by the initiation of longitudinal collection of diversity-related data. We provide an illustrative case study for each component of the framework. Descriptive analyses are presented of pre/post intervention diversity metrics if applicable and available.
The framework's focal points are: 1) data-driven identification of underrepresented groups, 2) pipeline development and targeted recruitment, 3) ensuring an inclusive process, 4) ensuring inclusive assessment, 5) ensuring inclusive selection, and 6) iterative use of diversity-related data. Case studies ranged from wording changes on admissions websites to the establishment of educational and administrative offices addressing needs of underrepresented populations.
We propose that diversity-related data must be collected on a variety of markers, developed in partnership with stakeholders who are most likely to facilitate implementation of best practices and new policies. These data can facilitate the design, implementation, and evaluation of evidence-informed diversity initiatives and provide a structure for continued investigation into 'interventions' supporting diversity-related initiatives.
多项国家级呼吁鼓励重新审视医学教育中的多样性问题。招生环节受到了特别关注,因为在此环节做出的决策塑造了未来医生队伍的性质。对当前做法进行批判性分析并结合基于证据的政策,可能会消除一些阻碍弱势群体获得机会的障碍。
我们提出了一个与多样性相关的项目开发和评估框架,该框架以知识转化框架为基础,并通过启动与多样性相关数据的纵向收集来提供支持。我们为框架的每个组成部分提供了一个说明性案例研究。如果适用且有数据,将对干预前/后的多样性指标进行描述性分析。
该框架的重点包括:1)数据驱动识别弱势群体;2)发展人才输送渠道和定向招聘;3)确保过程包容;4)确保评估包容;5)确保选拔包容;6)迭代使用与多样性相关的数据。案例研究涵盖了招生网站措辞的变化,以及设立满足弱势群体需求的教育和行政办公室。
我们建议,必须收集与多种指标相关的多样性数据,与最有可能促进最佳实践和新政策实施的利益相关者合作开发这些数据。这些数据可以促进基于证据的多样性倡议的设计、实施和评估,并为持续调查支持与多样性相关倡议的“干预措施”提供一个框架。