COVID-19流行期间定点医院医护人员抑郁和焦虑患病率的Meta分析

Prevalence of depression and anxiety among health care workers in designated hospitals during the COVID-19 epidemic: a meta-analysis

目的系统评价COVID-19流行期间,定点医院医护人员抑郁和焦虑的患病率。方法计算机检索The Cochrane Library、PubMed、EMbase、Web of Science、CNKI、WanFang Data、VIP和CBM数据库,搜集COVID-19流行期间,医护人员抑郁和焦虑患病率的横断面研究,检索时限均从2019年12月至2021年4月。由2位评价员独立筛选文献、提取资料并评价纳入研究的偏倚风险后,采用Stata 14.0软件进行Meta分析。结果共纳入21个研究,总样本量为38 372人。Meta分析结果显示:COVID-19流行期间,定点医院医护人员抑郁和焦虑的患病率分别为31.00%[95%CI(0.25,0.37)]和44.00%[95%CI(0.34,0.53)]。亚组分析结果显示,女性、已婚、本科及以上学历、护士、初级职称、非一线医护人员的抑郁和焦虑的患病率较高。结论 COVID-19流行期间定点医院医护人员抑郁和焦虑发生率较高。应充分重视公共事件状态下医护人员的心理健康状况,并采取措施予以防范。受纳入研究数量和质量的限制,上述结论尚需更多高质量研究予以验证。

Objective To systematically review the prevalence of depression and anxiety among health care workers in designated hospitals during the COVID-19 pandemic. Methods The Cochrane Library, PubMed, EMbase,Web of Science, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect cross-sectional studies on the prevalence of depression and anxiety among health care workers from December 2019 to April 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Metaanalysis was then performed using Stata 14.0 software. Results A total of 21 cross-sectional studies were included,involving 38 372 participants. Meta-analysis results showed that during the COVID-19 epidemic, the prevalence of depression and anxiety among health care workers in designated hospitals were 31.00%(95%CI 0.25 to 0.37) and 44.00%(95%CI 0.34 to 0.53). The results of subgroup analysis showed that individuals of female, married, bachelor degree or above, nurses, junior professional titles, and non-first-line medical staff had higher prevalence of depression and anxiety.Conclusions During the COVID-19 pandemic, the incidence of depression and anxiety among health care workers in designated hospitals remain high. Therefore, more attention should be paid to the mental health of health care workers in designated hospitals. Due to the limited quantity and quality of included studies, more high-quality studies are needed to verify the above conclusions.