Prevalence of burnout in medical students in China: A meta-analysis of observational studies.
Prevalence of burnout in medical students in China: A meta-analysis of observational studies.
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DOI：
10.1097/md.0000000000026329
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发表时间：
2021-07-02
期刊：
影响因子：
1.6
通讯作者：
Zhang Z
中科院分区：
文献类型：
--
作者：
Li Y;Cao L;Mo C;Tan D;Mai T;Zhang Z
这项荟萃分析旨在估计中国医学生职业倦怠的患病率。自建库至2019年9月，由2名审稿人独立对中国知识基础设施数据库、万方数据库、维普数据库、中国生物医学文献数据库、PubMed、Embase、Web of Science、Google Scholar等电子数据库进行系统检索。使用stata软件11版对数据进行分析。采用I2检验评价异质性，采用漏斗图和Egger检验评价发表偏倚。通过不同参数的亚组分析确定亚组间异质性的来源。共有 48 篇文章符合纳入标准，样本量为 29,020 篇。学习倦怠的总发生率为 45.9%（95% 置信区间 [CI] = 38.1%–53.8%）。高度情绪衰竭的患病率为37.5%（95% CI：21.4%–53.7%）。个人成就感低的比例为 44.0%（95% CI：29.2%–58.8%）。人格解体维度的患病率为36.0%（95% CI：23.0%–48.9%）。按专业进行亚组分析，临床医学专业职业倦怠发生率为30.3%（95% CI：28.6%～32.0%），其他医学专业为43.8%（95% CI：41.8%～45.8%）。男性和女性倦怠的总患病率分别为 46.4% (95% CI: 44.8%–47.9%) 和 46.6% (95% CI: 45.5%–47.6%)。荣炼量表的倦怠发生率为43.7%（42.1%~45.2%），其他量表的倦怠发生率为51.4%（50.4%~52.4%）。一至四年级患病率分别为62.9%（61.3%~64.6%）、58.7%（56.3%~61.1%）、46.5%（42.9%~50.2%）和56.0%（51.6%~60.4%）。不同年级间差异有统计学意义（P = .000）。我们的研究结果表明，医学生中职业倦怠的发生率很高。社会、大学和家庭应采取适当措施，给予更多关爱，防止医学生职业倦怠。
This meta-analysis aimed to estimate the prevalence of burnout among medical students in China. A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Science, and Google Scholar was independently conducted by 2 reviewers from inception to September 2019. The data were analyzed using stata software Version 11. Heterogeneity was assessed using I2 tests, and publication bias was evaluated using funnel plots and Egger's test. The source of heterogeneity among subgroups was determined by subgroup analysis of different parameters. A total of 48 articles with a sample size of 29,020 met the inclusion criteria. The aggregate prevalence of learning burnout was 45.9% (95% confidence interval [CI] = 38.1%–53.8%). The prevalence rate of high emotional exhaustion was 37.5% (95% CI: 21.4%–53.7%). The percentage was 44.0% (95% CI: 29.2%–58.8%) for low personal accomplishment. The prevalence rate was 36.0% (95% CI: 23.0%–48.9%) in depersonalization dimension. In the subgroup analysis by specialty, the prevalence of burnout was 30.3% (95% CI: 28.6%–32.0%) for clinical medicine and 43.8% (95% CI: 41.8%–45.8%) for other medical specialties. The total prevalence of burnout between men and women was 46.4% (95% CI: 44.8%–47.9%) and 46.6% (95% CI: 45.5%–47.6%), respectively. The prevalence of burnout with Rong Lian's scale was 43.7% (42.1%–45.2%), and that with the other scales was 51.4% (50.4%–52.4%). The prevalence rates were 62.9% (61.3%–64.6%), 58.7% (56.3%–61.1%), 46.5% (42.9%–50.2%), and 56.0% (51.6%–60.4%) from Grades 1 to 4, respectively. There was a statistically significant difference among the different grades (P = .000). Our findings suggest a high prevalence of burnout among medical students. Society, universities, and families should take appropriate measures and allot more care to prevent burnout among medical students.