Moshe Isaac, Terhorst Yannik, Cuijpers Pim, Cristea Ioana, Pulkki-Råback Laura, Sander Lasse
Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Department of Research Methods, University of Ulm, Ulm, Germany.
JMIR Res Protoc. 2020 Mar 24;9(3):e14860. doi: 10.2196/14860.
Depression is one of the leading causes of disability worldwide. Internet- and computer-based interventions (IBIs) have been shown to provide effective, scalable forms of treatment. More than 100 controlled trials and a growing number of meta-analyses published over the past 30 years have demonstrated the efficacy of IBIs in reducing symptoms in the short and long term. Despite the large body of research, no comprehensive review or meta-analysis has been conducted to date that evaluates how the effectiveness of IBIs has evolved over time.
This systematic review and meta-analysis aims to evaluate whether there has been a change in the effectiveness of IBIs on the treatment of depression over the past 30 years and to identify potential variables moderating the effect size.
A sensitive search strategy will be executed across the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, and PsycINFO. Data extraction and evaluation will be conducted by two independent researchers. Risk of bias will be assessed. A multilevel meta-regression model will be used to analyze the data and estimate effect size.
The search was completed in mid-2019. We expect the results to be submitted for publication in early 2020.
The year 2020 will mark 30 years since the first paper was published on the use of IBIs for the treatment of depression. Despite the large and rapidly growing body of research in the field, evaluations of effectiveness to date are missing the temporal dimension. This review will address that gap and provide valuable analysis of how the effectiveness of interventions has evolved over the past three decades; which participant-, intervention-, and study-related variables moderate changes in effectiveness; and where research in the field may benefit from increased focus.
PROSPERO CRD42019136554; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=136554.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/14860.
抑郁症是全球致残的主要原因之一。基于互联网和计算机的干预措施（IBIs）已被证明能提供有效且可扩展的治疗形式。在过去30年里，超过100项对照试验以及越来越多的荟萃分析证明了IBIs在短期和长期减轻症状方面的疗效。尽管有大量研究，但迄今为止，尚未进行全面的综述或荟萃分析来评估IBIs的有效性是如何随时间演变的。
本系统综述和荟萃分析旨在评估在过去30年里，IBIs治疗抑郁症的有效性是否发生了变化，并确定影响效应大小的潜在变量。
将在Cochrane对照试验中心注册库（CENTRAL）、MEDLINE、EMBASE和PsycINFO中执行敏感的检索策略。由两名独立研究人员进行数据提取和评估。将评估偏倚风险。将使用多层次元回归模型分析数据并估计效应大小。
检索于2019年年中完成。我们预计结果将于2020年初提交发表。
2020年将是第一篇关于使用IBIs治疗抑郁症的论文发表30周年。尽管该领域的研究数量庞大且迅速增长，但迄今为止对有效性的评估缺少时间维度。本综述将填补这一空白，并对过去三十年干预措施的有效性如何演变；哪些与参与者、干预措施和研究相关的变量调节有效性的变化；以及该领域的研究可能从更多关注中受益的方面提供有价值的分析。
PROSPERO CRD42019136554；https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=136554。
国际注册报告识别号（IRRID）：PRR1-10.2196/14860。
