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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

INTRODUCTION: Digital 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...

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Autores principales: Sander, Lasse Bosse, Beisemann, Marie, Karyotaki, Eirini, van Ballegooijen, Wouter, Cuijpers, Pim, Teismann, Tobias, Doebler, Philipp, Domhardt, Matthias, Baumeister, Harald, Büscher, Rebekka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249902/
https://www.ncbi.nlm.nih.gov/pubmed/37289758
http://dx.doi.org/10.1371/journal.pone.0285622
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author Sander, Lasse Bosse
Beisemann, Marie
Karyotaki, Eirini
van Ballegooijen, Wouter
Cuijpers, Pim
Teismann, Tobias
Doebler, Philipp
Domhardt, Matthias
Baumeister, Harald
Büscher, Rebekka
author_facet Sander, Lasse Bosse
Beisemann, Marie
Karyotaki, Eirini
van Ballegooijen, Wouter
Cuijpers, Pim
Teismann, Tobias
Doebler, Philipp
Domhardt, Matthias
Baumeister, Harald
Büscher, Rebekka
author_sort Sander, Lasse Bosse
collection PubMed
description INTRODUCTION: Digital 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. METHODS: Data 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. CONCLUSION: This 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 REGISTRATION: We will pre-register this study with the open science framework after article acceptance to ensure consistency between online registration and the published trial protocol.
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spelling pubmed-102499022023-06-09 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 Sander, Lasse Bosse Beisemann, Marie Karyotaki, Eirini van Ballegooijen, Wouter Cuijpers, Pim Teismann, Tobias Doebler, Philipp Domhardt, Matthias Baumeister, Harald Büscher, Rebekka PLoS One Study Protocol INTRODUCTION: Digital 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. METHODS: Data 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. CONCLUSION: This 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 REGISTRATION: We will pre-register this study with the open science framework after article acceptance to ensure consistency between online registration and the published trial protocol. Public Library of Science 2023-06-08 /pmc/articles/PMC10249902/ /pubmed/37289758 http://dx.doi.org/10.1371/journal.pone.0285622 Text en © 2023 Sander et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Sander, Lasse Bosse
Beisemann, Marie
Karyotaki, Eirini
van Ballegooijen, Wouter
Cuijpers, Pim
Teismann, Tobias
Doebler, Philipp
Domhardt, Matthias
Baumeister, Harald
Büscher, Rebekka
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249902/
https://www.ncbi.nlm.nih.gov/pubmed/37289758
http://dx.doi.org/10.1371/journal.pone.0285622
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