Effects of digital cognitive behavioral therapy for depression on suicidal thoughts and behavior: Protocol for a systematic review and meta-analysis of individual participant data

Author:

Sander Lasse BosseORCID,Beisemann Marie,Karyotaki Eirini,van Ballegooijen Wouter,Cuijpers Pim,Teismann Tobias,Doebler Philipp,Domhardt MatthiasORCID,Baumeister Harald,Büscher RebekkaORCID

Abstract

IntroductionDigital cognitive behavioral therapy (i-CBT) interventions for the treatment of depression have been extensively studied and shown to be effective in the reduction of depressive symptoms. However, little is known about their effects on suicidal thoughts and behaviors (STB). Information on the impact of digital interventions on STB are essential for patients’ safety because most digital interventions are self-help interventions without direct support options in case of a suicidal crisis. Therefore, we aim to conduct a meta-analysis of individual participant data (IPDMA) to investigate the effects of i-CBT interventions for depression on STB and to explore potential effect moderators.MethodsData will be retrieved from an established and annually updated IPD database of randomized controlled trials investigating the effectiveness of i-CBT interventions for depression in adults and adolescents. We will conduct a one-stage and a two-stage IPDMA on the effects of these interventions on STB. All types of control conditions are eligible. STB can be measured using specific scales (e.g., Beck scale suicide, BSS) or single items from depression scales (e.g., item 9 of the PHQ-9) or standardized clinical interviews. Multilevel linear regression will be used for specific scales, and multilevel logistic regression will be used for treatment response or deterioration, operationalized as a change in score by at least one quartile from baseline. Exploratory moderator analyses will be conducted at participant, study, and intervention level. Two independent reviewers will assess the risk of bias using the Cochrane Risk of Bias Tool 2.ConclusionThis IPDMA will harness the available data to assess the effects (response and deterioration) of i-CBT interventions for depression interventions on STB. Information about changes in STB is essential to estimate patients’ safety when engaging in digital treatment formats.Trial registrationWe will pre-register this study with the open science framework after article acceptance to ensure consistency between online registration and the published trial protocol.

Funder

Deutsche Forschungsgemeinschaft

German Research Foundation (DFG) and the University of Freiburg in the funding program Open Access Publishing

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference66 articles.

1. World Health Organization. World mental health report: Transforming mental health for all. Geneva; 2022.

2. Digital interventions for the treatment of depression: A meta-analytic review;I Moshe;Psychol Bull,2021

3. Comparative efficacy of seven psychotherapeutic interventions for patients with depression: A network meta-analysis;J Barth;PLoS Med,2013

4. How much psychotherapy is needed to treat depression? A metaregression analysis;P Cuijpers;J Affect Disord,2013

5. Psychotherapy for depression across different age groups: A systematic review and meta-analysis;P Cuijpers;JAMA Psychiatry,2020

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