METHODS: We conducted this review as per the PRISMA 2020 guidelines. We included only cross-sectional studies reporting outcome estimates among the study population. We included articles published before December 2023. We used a search strategy to systematically select the articles from PubMed, Embase, and Google Scholar. We assessed the quality of the studies using an adapted version of NIH\'s study tool assessment for cross-sectional and observational cohort studies. We estimated the pooled proportion using the random-effects model.
RESULTS: We included eight studies in our review, covering a sample size of 215,787. The pooled proportion of burnout was 39% (95% CI: 25-53%; p-value: < 0.001). We also identified high heterogeneity among the included studies in our review (I2: 99.67%; p-value: < 0.001). Seven out of the eight studies were of good quality. The pooled proportion of the studies conducted during the COVID-19 pandemic was 42% (95% CI: 17-66%), whereas for the studies conducted during the non-pandemic period, it was 35% (95% CI: 10-60%).
CONCLUSIONS: In our review, more than one-third of public health workers suffer from burnout, which adversely affects individuals\' mental and physical health. Burnout among the public health workforce requires attention to improve the well-being of this group. Multisite studies using standardized definitions are needed for appropriate comparisons and a better understanding of variations in burnout in various subgroups based on sociodemographic characteristics and type of work responsibilities. We must design and implement workplace interventions to cope with burnout and increase well-being.
CONCLUSIONS: Due to the limited research on burnout among public health workers, we could not perform a subgroup analysis on various factors that could have contributed to burnout.
方法:我们根据PRISMA2020指南进行了这篇综述。我们仅纳入横断面研究,报告研究人群中的结果估计。我们包括2023年12月之前发表的文章。我们使用搜索策略系统地选择PubMed的文章,Embase,谷歌学者。我们使用适用于横断面和观察性队列研究的NIH研究工具评估版本评估了研究质量。我们使用随机效应模型估计了合并比例。
结果:我们纳入了8项研究,涵盖215,787的样本量。倦怠的合并比例为39%(95%CI:25-53%;p值:<0.001)。在我们的综述中,我们还发现了纳入研究的高度异质性(I2:99.67%;p值:<0.001)。八项研究中有七项质量良好。在COVID-19大流行期间进行的研究的合并比例为42%(95%CI:17-66%),而对于在非大流行期间进行的研究,它是35%(95%CI:10-60%)。
结论:在我们的综述中,超过三分之一的公共卫生工作者患有职业倦怠,对个人的身心健康产生不利影响。公共卫生人员的倦怠需要注意改善这一群体的福祉。需要使用标准化定义的多站点研究,以便进行适当的比较,并根据社会人口统计学特征和工作职责类型更好地了解各个子组中倦怠的变化。我们必须设计和实施工作场所干预措施,以应对倦怠和增加福祉。
结论:由于公共卫生工作者对倦怠的研究有限,我们无法对可能导致职业倦怠的各种因素进行亚组分析.