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Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials

机译:基于互联网的抑郁症自助式自助会造成危害吗?随机对照试验中个体参与者数据恶化率及其调节因素的荟萃分析

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摘要

Almost nothing is known about the potential negative effects of Internet-based psychological treatments for depression. This study aims at investigating deterioration and its moderators within randomized trials on Internet-based guided self-help for adult depression, using an individual patient data meta-analyses (IPDMA) approach.\ud\udStudies were identified through systematic searches (PubMed, PsycINFO, EMBASE, Cochrane Library). Deterioration in participants was defined as a significant symptom increase according to the reliable change index (i.e. 7.68 points in the CES-D; 7.63 points in the BDI). Two-step IPDMA procedures, with a random-effects model were used to pool data.\ud\udA total of 18 studies (21 comparisons, 2079 participants) contributed data to the analysis. The risk for a reliable deterioration from baseline to post-treatment was significantly lower in the intervention v. control conditions (3.36 v. 7.60; relative risk 0.47, 95% confidence interval 0.29–0.75). Education moderated effects on deterioration, with patients with low education displaying a higher risk for deterioration than patients with higher education. Deterioration rates for patients with low education did not differ statistically significantly between intervention and control groups. The benefit–risk ratio for patients with low education indicated that 9.38 patients achieve a treatment response for each patient experiencing a symptom deterioration.\ud\udInternet-based guided self-help is associated with a mean reduced risk for a symptom deterioration compared to controls. Treatment and symptom progress of patients with low education should be closely monitored, as some patients might face an increased risk for symptom deterioration. Future studies should examine predictors of deterioration in patients with low education.
机译:关于基于互联网的抑郁症心理治疗的潜在负面影响,几乎一无所知。这项研究旨在使用个体患者数据荟萃分析(IPDMA)方法,对基于互联网的成人抑郁症自助指导下的随机试验中的恶化及其调节因素进行调查。\ ud \ ud通过系统搜索(PubMed,PsycINFO)进行研究,EMBASE,Cochrane库)。根据可靠的变化指数(即CES-D中为7.68分; BDI中为7.63分),将参与者的恶化定义为症状显着增加。使用具有随机效应模型的两步IPDMA程序来汇总数据。\ ud \ ud共有18项研究(21个比较,2079名参与者)为分析提供了数据。在干预和控制条件下,从基线到治疗后可靠恶化的风险显着降低(3.36对7.60;相对风险0.47,95%置信区间0.29-0.75)。教育对恶化的影响有所缓和,教育程度低的患者比受教育程度高的患者表现出更高的恶化风险。教育程度低的患者的恶化率在干预组和对照组之间无统计学差异。教育程度低的患者的受益风险比表明,每名出现症状恶化的患者都有9.38例患者获得治疗反应。与对照组相比,基于互联网的指导自助服务与平均降低的症状恶化风险相关。受教育程度低的患者的治疗和症状进展应受到密切监控,因为某些患者可能会出现症状恶化的风险增加。未来的研究应检查低学历患者病情恶化的预测因素。

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