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基于互联网的抑郁症认知行为疗法:系统评价和个体患者数据网络荟萃分析。

Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis.

机构信息

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Department of Clinical Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

出版信息

JAMA Psychiatry. 2021 Apr 1;78(4):361-371. doi: 10.1001/jamapsychiatry.2020.4364.

Abstract

IMPORTANCE

Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.

OBJECTIVE

To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.

DATA SOURCES

We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.

STUDY SELECTION

Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization.

DATA EXTRACTION AND SYNTHESIS

We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression.

MAIN OUTCOMES AND MEASURES

Patient Health Questionnaire-9 (PHQ-9) scores.

RESULTS

Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9.

CONCLUSIONS AND RELEVANCE

In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

摘要

重要性

基于互联网的认知行为疗法(iCBT)的个性化治疗选择将提高其对抑郁症的疗效,程度上取决于患者在更适合他们的干预措施方面的差异。

目的

利用患者水平信息,为指导和非指导 iCBT 治疗抑郁症的短期和长期相对疗效提供个性化估计。

数据来源

我们检索了 PubMed、Embase、PsycInfo 和 Cochrane Library,以确定截至 2019 年 1 月 1 日发表的随机临床试验(RCT)。

研究选择

符合条件的 RCT 是将指导或非指导 iCBT 相互比较或与抑郁症个体的任何对照干预措施进行比较的 RCT。所有符合条件的研究都收集了可获得的个体患者数据(IPD)。在随机分组后,对抑郁症状严重程度进行治疗后、6 个月和 12 个月的评估。

数据提取和综合

我们进行了系统评价和 IPD 网络荟萃分析,并通过 IPD 网络荟萃回归估计了不同患者特征下的相对治疗效果大小。

主要结果和测量

患者健康问卷-9(PHQ-9)评分。

结果

在 42 项符合条件的 RCT 中,39 项研究共纳入了 9751 名抑郁症患者的 IPD,对 IPD 网络荟萃分析做出了贡献,其中 8107 项 IPD 进行了综合分析。总体而言,与对照治疗相比,无论是指导还是非指导 iCBT 在短期和长期内都与更高的疗效相关,通过 PHQ-9 评分衡量。指导 iCBT 与非指导 iCBT 相比更有效(治疗后 PHQ-9 评分的平均差异 [MD],-0.8;95%CI,-1.4 至-0.2),但我们没有证据表明在随机分组后 6 或 12 个月存在差异。基线抑郁被发现是指导与非指导 iCBT 疗效相对关联的最重要调节因素。在基线症状为阈下抑郁(PHQ-9 评分 5-9)的患者中,指导与非指导 iCBT 之间的差异较小,而在基线 PHQ-9 评分大于 9 的患者中,指导 iCBT 与整体更好的结果相关。

结论和相关性

在这项使用 IPD 的网络荟萃分析中,指导 iCBT 与非指导 iCBT 相比,对抑郁症患者更有效,在中度至重度抑郁患者中,获益更大。在轻度/阈下抑郁症状的患者中,非指导 iCBT 与相似的疗效相关。个性化治疗选择是完全可能和必要的,以确保为抑郁症分配最佳的治疗资源。

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