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拆解、个性化和优化互联网认知行为疗法治疗抑郁症的研究方案:一项个体参与者数据成分网络荟萃分析研究方案。

Dismantling, personalising and optimising internet cognitive-behavioural therapy for depression: a study protocol for individual participant data component network meta-analysis.

机构信息

Departments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/ School of Public Health, Kyoto, Japan.

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

出版信息

BMJ Open. 2019 Feb 22;8(11):e026137. doi: 10.1136/bmjopen-2018-026137.

DOI:10.1136/bmjopen-2018-026137
PMID:30798295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6278798/
Abstract

INTRODUCTION

Psychotherapy is a complex intervention, consisting of various components and being implemented flexibly in consideration of individual patient's characteristics. It is then of utmost importance to know which of the various components or combinations thereof are more efficacious, what their specific effect sizes are and which types of patients may benefit more from different components or their combinations.

METHODS AND ANALYSIS

Internet-delivered cognitive-behavioural therapy (iCBT) offers a unique opportunity to systematically review and quantitatively disentangle the efficacy of various components because, unlike face-to-face cognitive-behavioural therapy, it allows identification of constituent components that are actually delivered to patients. We will systematically identify all randomised controlled trials that compared any form of iCBT against another form or a control intervention in the acute phase treatment of adult depression. We will apply component network meta-analysis (cNMA) to dismantle efficacy of individual components. We will use individual participant data in the cNMA to identify participant-level prognostic factors and effect modifiers for different components.

ETHICS AND DISSEMINATION

The investigators of the primary trials will have obtained ethical approval for the data used in the present study and for sharing the data, if this was necessary, according to local requirements and was not covered from the initial ethic assessment. Results from this study will be published in peer-reviewed journals and presented at relevant conferences.

PROSPERO REGISTRATION NUMBER

CRD42018104683.

摘要

简介

心理治疗是一种复杂的干预措施,由各种组成部分组成,并根据个体患者的特点灵活实施。因此,了解各种组成部分或其组合中哪些更有效、它们的具体效果大小以及哪些类型的患者可能从不同的组成部分或其组合中获益更多是至关重要的。

方法和分析

互联网提供的认知行为疗法(iCBT)为系统地回顾和定量分解各种组成部分的疗效提供了独特的机会,因为与面对面的认知行为疗法不同,它可以识别实际提供给患者的组成部分。我们将系统地确定所有比较任何形式的 iCBT 与急性成人抑郁症治疗中另一种形式或对照干预的随机对照试验。我们将应用组件网络荟萃分析(cNMA)来分解单个组件的疗效。我们将使用 cNMA 中的个体参与者数据来识别不同组件的个体参与者水平的预后因素和效应修饰因子。

伦理和传播

主要试验的研究者已经获得了数据使用的伦理批准,并根据当地要求和初始伦理评估未涵盖的内容,如果有必要,根据当地要求和初始伦理评估未涵盖的内容,共享数据。本研究的结果将发表在同行评议的期刊上,并在相关会议上发表。

前瞻性注册编号

CRD42018104683。

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