基于互联网的产后抑郁症干预措施：系统评价与荟萃分析
Internet-based interventions for postpartum depression: A systematic review and meta-analysis.
作者信息
Mu Ting-Yu, Li Yu-Hong, Xu Ri-Xiang, Chen Jun, Wang Ya-Ya, Shen Cui-Zhen
机构信息
School of Nursing, Zhejiang Chinese Medical University, Hangzhou, China.
Nursing College, Anhui University of Chinese Medicine, Hefei, China.
出版信息
Nurs Open. 2021 May;8(3):1125-1134. doi: 10.1002/nop2.724. Epub 2020 Dec 29.
AIM
To determine the efficacy of Internet-based interventions in decreasing the prevalence of postpartum depression in perinatal women.
DESIGN
This review was conducted according to the standards outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.
METHODS
We performed a systematic meta-analysis of randomized controlled trials on the efficacy of Internet-based interventions for postpartum depression. Studies (2008-2018) were identified through a search conducted on PubMed, EMBASE and the Cochrane Library. Risk ratios or weighted mean differences with 95% confidence intervals were calculated using a fixed-effects model or a random-effects model. Stata software 11.0 was used to perform the meta-analysis.
RESULTS
Most of the seven eligible studies were randomized controlled trials. The random-effects model indicated that Internet-based interventions significantly improved postpartum depression (d = 0.642, N = 7). Attrition rates ranged from 4.5%-86.9% and from 0%-87.1% for the intervention and control groups, respectively.
目的
确定基于互联网的干预措施在降低围产期妇女产后抑郁症患病率方面的疗效。
设计
本综述按照系统评价和Meta分析的首选报告项目声明中概述的标准进行。
方法
我们对基于互联网的干预措施治疗产后抑郁症疗效的随机对照试验进行了系统的Meta分析。通过在PubMed、EMBASE和Cochrane图书馆进行检索，确定了2008年至2018年的研究。使用固定效应模型或随机效应模型计算风险比或加权平均差及95%置信区间。使用Stata软件11.0进行Meta分析。
结果
七项符合条件的研究中，大多数为随机对照试验。随机效应模型表明，基于互联网的干预措施显著改善了产后抑郁症（d = 0.642，N = 7）。干预组和对照组的失访率分别为4.5% - 86.9%和0% - 87.1%。
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