Office for Diversity Inclusion and Community Partnership, Harvard Medical School, Boston, MA, USA.
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave, Boston, MA, 02115, USA.
J Racial Ethn Health Disparities. 2022 Feb;9(1):257-269. doi: 10.1007/s40615-020-00950-0. Epub 2021 Jan 11.
Awareness of burnout and its implications within the medical field has been growing. However, an understanding of the prevalence and consequences of burnout among underrepresented minority (URM), specifically underrepresented minority in medicine (UiM) populations, is not readily available.
To examine literature investigating burnout among UiM compared to non-UiM, with particular attention to which measures of burnout are currently being used for which racial/ethnic groups.
The authors identified peer-reviewed articles, published in English through systematic examination using PubMed, PsycINFO, Countway Discovery Medicine, and Web of Science databases. Studies meeting the inclusion criteria were summarized and study quality was assessed.
Sixteen studies assessing racial/ethnic differences in burnout were eligible for inclusion. Nearly all studies were cross-sectional (n = 15) in design and conducted among populations in North America (n = 15). Most studies examined burnout among medical students or physicians and used the Maslach Burnout Inventory. Differences in burnout among UiM and non-UiM are inconclusive, although several studies have nuanced findings.
Increased focus on burnout measurement, conceptualization, and mitigation among UiM populations may be useful in improving recruitment, retention, and thriving.
医学领域对倦怠及其影响的认识不断提高。然而,对于代表性不足的少数族裔(URM),特别是医学代表性不足的少数族裔(UiM)人群中倦怠的流行程度和后果,人们的理解并不充分。
检查比较 UiM 和非 UiM 人群中倦怠的文献,特别关注目前用于哪些种族/族裔群体的倦怠测量方法。
作者通过系统地使用 PubMed、PsycINFO、Countway Discovery Medicine 和 Web of Science 数据库进行了英文同行评审文章的检索。符合纳入标准的研究被总结,研究质量被评估。
有 16 项研究评估了倦怠方面的种族/族裔差异,符合纳入标准。几乎所有的研究都是横断面设计(n=15),并在北美的人群中进行(n=15)。大多数研究调查了医学生或医生的倦怠情况,并使用了 Maslach 倦怠量表。UiM 和非 UiM 之间的倦怠差异尚无定论,但有几项研究有细微的发现。
增加对 UiM 人群的倦怠测量、概念化和缓解的关注,可能有助于改善招募、留用和繁荣。