Siadat Sima, Farajzadegan Ziba, Motamedi Narges, Nouri Rasool, Eizadi-Mood Nastaran
Resident, Department of Community and Preventive Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Professor, Department of Community and Preventive Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
J Res Med Sci. 2024 Jul 11;29:28. doi: 10.4103/jrms.jrms_791_23. eCollection 2024.
The objective is to summarize evidence from systematic reviews, scoping reviews, and meta-analyses evaluating the effects of any format of Internet-based, mobile-, or telephone-based intervention as a technology-based intervention in suicide prevention.
This is an umbrella review, that followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement guidelines. An electronic search was done on September 29, 2022. Data were extracted by reviewers and then methodological quality and risk of bias were assessed by A Measurement Tool to Assess Systematic Reviews-2. Statistical analysis was done by STATA version 17. Standard mean difference was extracted from these studies and by random effect model, the overall pooled effect size (ES) was calculated. I2 statistic was used to assess the heterogeneity between studies. For publication bias, the Egger test was used.
Six reviews were included in our study, all with moderate quality. The overall sample size was 24631. The ES for standard mean differences of the studies is calculated as - 0.20 with a confidence interval of (-0.26, -0.14). The heterogeneity is found as 58.14%, indicating a moderate-to-substantial one. The Egger test shows publication bias.
Our results show that technology-based interventions are effective. We propose more rigorous randomized controlled trials with different control groups to assess the effectiveness of these interventions.
目的是总结系统评价、范围综述和荟萃分析中的证据,这些研究评估了任何形式的基于互联网、移动设备或电话的干预措施作为基于技术的自杀预防干预措施的效果。
这是一项遵循2020年系统评价和荟萃分析优先报告项目声明指南的伞状综述。于2022年9月29日进行了电子检索。由评审人员提取数据,然后使用评估系统评价的测量工具-2评估方法学质量和偏倚风险。使用STATA 17版进行统计分析。从这些研究中提取标准平均差,并通过随机效应模型计算总体合并效应量(ES)。使用I2统计量评估研究之间的异质性。对于发表偏倚,使用Egger检验。
我们的研究纳入了六项综述,质量均为中等。总体样本量为24631。研究的标准平均差的ES计算为-0.20,置信区间为(-0.26,-0.14)。异质性为58.14%,表明为中度到高度异质性。Egger检验显示存在发表偏倚。
我们的结果表明基于技术的干预措施是有效的。我们建议开展更严格的、设置不同对照组的随机对照试验,以评估这些干预措施的有效性。