Assessing Burnout and Associated Risk Factors in Medical Students

Assessing Burnout and Associated Risk Factors in Medical Students
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DOI:
10.1016/j.jnma.2020.05.019
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发表时间:
2020-12-01
影响因子:
3.3
通讯作者:
Reynolds, Kimberly
Reynolds, Kimberly
中科院分区:
医学4区
文献类型:
--
作者:
Armstrong, Misha;Reynolds, Kimberly

文献摘要

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目的:我们的研究旨在以现有文献为基础,评估可能与医学生(尤其是有色人种学生)倦怠风险增加相关的因素。方法:我们的横断面调查包括哥本哈根倦怠量表(CBI)和其他从头开始的问题。调查于 2017 年 6 月采用便利抽样方法以电子方式进行。结果:总共记录了 162 份调查结果。其中,159 人填写了人口统计信息,其中 43% 的受访者为非白人,64% 为女性,50% 的受访者表示没有医学导师,30% 的受访者有医学领域的直系亲属,71% 的受访者担心与医学院相关的经济负担。黑人学生更有可能是家里第一个上大学的人,家庭成员中没有医生,并且有经济问题。 CBI 倦怠平均得分 (n = 138) 表明,总体学生并未经历倦怠。然而,根据个人分数,近 50% 的学生经历过个人倦怠,42% 经历过工作倦怠,12% 经历过与客户相关的倦怠。女性明显更有可能经历与工作相关的倦怠 (p - 0. 028),并且个人倦怠得分显着更高 (p = 0.017)。此外,与所有其他报告的种族相比,黑人学生的个人倦怠得分明显更高(p = 0.013)。结论:尽管本研究期间评估的因素没有显示出显着影响,但数据趋势表明女性和黑人学生的倦怠率都较高。需要进一步讨论倦怠的解决方案,以便尽早干预对高风险人群的培训。
Purpose: Our study aims to build on existing literature by assessing factors that may be associated with an increased risk of burnout amongst medical students, particularly students of color.Methods: Our cross-sectional survey included the Copenhagen Burnout Inventory (CBI) and additional de novo questions. Surveys were administered electronically in June 2017 using a convenience sampling method.Results: A total of 162 survey results were recorded. Of those, 159 completed demographic information with 43% of respondents being non-White, 64% women, 50% reported not having a mentor in medicine, 30% having an immediate family member in medicine, and 71% being concerned about the financial burden associated with medical school. Black students were more likely to be the first in their family to attend college, not have a physician family member, and have financial concerns. The average CBI burnout scores (n = 138) indicated that overall students are not experiencing burnout. However, nearly 50% of students experience personal, 42% work, and 12% client related burnout based on their individual scores. Women were significantly more likely to experience work related burnout (p - 0. 028) and had significantly higher personal burnout scores (p = 0.017). Additionally, Black students have significantly higher personal burnout scores (p = 0.013) compared to all other reported races.Conclusion: Although factors assessed during this study showed no significant effect, the data trends suggest that both women and Black students experienced higher rates of burnout. Further discussion regarding solutions to burnout is required in order to intervene early on in training for those at highest risk.