重新评估估计美国专科医生劳动力的方法
W Stephen Black-Schaffer1, David J Gross2, Zakia Nouri3
1Department of Pathology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA 02114, United States.
Health affairs scholar
|May 17, 2024
概括
医生劳动力估计被严重低估,原因是亚专业培训,特别是在病理学. 目前的方法无法捕捉具有多个或间接奖学金的医生,从而影响准确的劳动力数据.
科学领域:
- 医疗教育 医学教育
- 健康劳动力研究 卫生劳动力研究
- 病理学 病理学 病理学
背景情况:
- 亚专业培训在医生教育中变得越来越普遍.
- 现有的医生劳动力估计可能不准确地反映当前的医生格局.
- 美国医学院协会 (AAMC) 医生专业数据报告是美国医生劳动力数据的主要来源.
研究的目的:
- 调查亚专业培训对医生劳动力估计的影响.
- 与美国医学协会 (AMA) 医生专业数据 (PPD) 相比,识别病理学劳动力数据中的差异.
- 强调医生劳动力估计中需要更新的方法.
主要方法:
- 将AAMC医生专业数据报告与AMA医生专业数据 (PPD) 的比较.
- 分析AMA PPD中的专业名称,考虑多次和间隔的奖学金安排.
- 评估培训序列对专业指定领域的影响.
主要成果:
- 2020年AAMC病理学家报告低估了与AMA PPD相比的39%的劳动力.
- 遗漏的病理学子专业名称占了这个不足的大部分.
- 仅依赖两个AMA PPD专业数据字段中的第一个,导致了差异.
结论:
- 目前美国医生劳动力估计的方法,特别是病理学,是不够的.
- 越来越多的分专业和间隔奖学金趋势需要修订定义和数据收集.
- 在受这些培训趋势影响的其他医学专业中也可能存在类似的低估.
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