在医学中代表性不足的居民所面临的障碍的系统审查:多纳贝迪安框架分析
Michele L Heath1, Tawanda M Greer2, Tracy H Porter3
1Cleveland State University, 1860 E. 18thStreet, BU 430, Cleveland, OH, 44114, USA. m.heath@csuohio.edu.
Journal of racial and ethnic health disparities
|February 16, 2026
概括
种族和少数民族的医生在医疗住院期间面临重大挑战,包括系统性障碍和缺乏支持. 解决这些问题对于改善医生多样性和患者护理至关重要.
科学领域:
- 医学教育 医学教育
- 健康 公平 卫生 公平
- 医生劳动力的多样性 医生劳动力的多样性
背景情况:
- 医生之间的种族和民族多样性对于健康公平和患者护理至关重要.
- 美国有色人种居民的代表性不足,在美国的医疗住院项目中面临着独特的挑战.
- 这些挑战可能会影响员工的留守和职业发展.
研究的目的:
- 系统地审查有关美国医疗住院计划中有色人种居民经历的文献.
- 通过Donabedian框架识别结构性,流程相关和结果挑战.
- 为支持有色人种居民和促进医疗教育公平的战略提供信息.
主要方法:
- 从2012年1月到2024年12月对四个数据库 (Medline,CINAHL,学术搜索完整,APA PsycInfo) 的系统审查.
- 纳入标准:研究在居住培训期间检查有色人种居民面临的挑战.
- 从862个初始记录中分析了13项选定的研究 (11项实证研究,2项程序审查).
主要成果:
- 发现了结构性障碍:领导层代表性不足,机构对多样性的承诺不足.
- 与流程相关的挑战:评估中的不平等,缺乏指导.
- 结果:幸福感降低,倦怠,消耗,刻板印象威胁,伪造者现象.
结论:
- 有色人种居民面临着持续的结构性,流程和结果挑战,阻碍了专业发展,并延续了不平等.
- 可持续的多样性倡议,结构化的指导和包容性的学习环境是必不可少的.
- 应对这些挑战对于支持有色人种居民和促进医疗教育平等至关重要.
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