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Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis
BACKGROUND: Behavioral activation is an effective treatment for reducing depression. As depressive disorders affect many people worldwide, internet-based behavioral activation (iBA) could provide enhanced treatment access. OBJECTIVE: This study aimed to investigate whether iBA is effective in reduci...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251223/ https://www.ncbi.nlm.nih.gov/pubmed/37227760 http://dx.doi.org/10.2196/41643 |
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author | Alber, Carolin Sophie Krämer, Lena Violetta Rosar, Sophia Marie Mueller-Weinitschke, Claudia |
author_facet | Alber, Carolin Sophie Krämer, Lena Violetta Rosar, Sophia Marie Mueller-Weinitschke, Claudia |
author_sort | Alber, Carolin Sophie |
collection | PubMed |
description | BACKGROUND: Behavioral activation is an effective treatment for reducing depression. As depressive disorders affect many people worldwide, internet-based behavioral activation (iBA) could provide enhanced treatment access. OBJECTIVE: This study aimed to investigate whether iBA is effective in reducing depressive symptoms and to assess the impact on secondary outcomes. METHODS: We systematically searched MEDLINE, PsycINFO, PSYNDEX, and CENTRAL up to December 2021 for eligible randomized controlled trials. In addition, a reference search was conducted. Title and abstract screening, as well as a full-text screening, was conducted by 2 independent reviewers. Randomized controlled trials that investigated the effectiveness of iBA for depression as a treatment or main component were included. Randomized controlled trials had to report depressive symptoms, with a quantitative outcome measure and assess an adult population with depressive symptoms above cutoff. Two independent reviewers performed the data extraction and risk of bias assessment. Data were pooled in random-effects meta-analyses. The primary outcome was self-reported depressive symptoms posttreatment. This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. RESULTS: A total of 12 randomized controlled trials, with 3274 participants (88% female, 43.61 years) were included. iBA was more effective in reducing depressive symptom severity posttreatment than inactive control groups (standardized mean difference −0.49; 95% CI −0.63 to −0.34; P<.001). The overall level of heterogeneity was moderate to substantial (I(2)=53%). No significant effect of iBA on depressive symptoms could be found at 6-month follow-up. Participants assigned to iBA also experienced a significant reduction of anxiety and a significant increase in quality of life and activation compared to the inactive control groups. The results remained robust in multiple sensitivity analyses. The risk of bias assessment revealed at least some concerns for all studies, and there was evidence of slight publication bias. CONCLUSIONS: This systematic review and meta-analysis implies that iBA is effective in reducing depressive symptoms. It represents a promising treatment option, providing treatment access where no treatment is available yet. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews CRD42021236822; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=236822 |
format | Online Article Text |
id | pubmed-10251223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102512232023-06-10 Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis Alber, Carolin Sophie Krämer, Lena Violetta Rosar, Sophia Marie Mueller-Weinitschke, Claudia J Med Internet Res Review BACKGROUND: Behavioral activation is an effective treatment for reducing depression. As depressive disorders affect many people worldwide, internet-based behavioral activation (iBA) could provide enhanced treatment access. OBJECTIVE: This study aimed to investigate whether iBA is effective in reducing depressive symptoms and to assess the impact on secondary outcomes. METHODS: We systematically searched MEDLINE, PsycINFO, PSYNDEX, and CENTRAL up to December 2021 for eligible randomized controlled trials. In addition, a reference search was conducted. Title and abstract screening, as well as a full-text screening, was conducted by 2 independent reviewers. Randomized controlled trials that investigated the effectiveness of iBA for depression as a treatment or main component were included. Randomized controlled trials had to report depressive symptoms, with a quantitative outcome measure and assess an adult population with depressive symptoms above cutoff. Two independent reviewers performed the data extraction and risk of bias assessment. Data were pooled in random-effects meta-analyses. The primary outcome was self-reported depressive symptoms posttreatment. This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. RESULTS: A total of 12 randomized controlled trials, with 3274 participants (88% female, 43.61 years) were included. iBA was more effective in reducing depressive symptom severity posttreatment than inactive control groups (standardized mean difference −0.49; 95% CI −0.63 to −0.34; P<.001). The overall level of heterogeneity was moderate to substantial (I(2)=53%). No significant effect of iBA on depressive symptoms could be found at 6-month follow-up. Participants assigned to iBA also experienced a significant reduction of anxiety and a significant increase in quality of life and activation compared to the inactive control groups. The results remained robust in multiple sensitivity analyses. The risk of bias assessment revealed at least some concerns for all studies, and there was evidence of slight publication bias. CONCLUSIONS: This systematic review and meta-analysis implies that iBA is effective in reducing depressive symptoms. It represents a promising treatment option, providing treatment access where no treatment is available yet. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews CRD42021236822; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=236822 JMIR Publications 2023-05-25 /pmc/articles/PMC10251223/ /pubmed/37227760 http://dx.doi.org/10.2196/41643 Text en ©Carolin Sophie Alber, Lena Violetta Krämer, Sophia Marie Rosar, Claudia Mueller-Weinitschke. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.05.2023. 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 work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Alber, Carolin Sophie Krämer, Lena Violetta Rosar, Sophia Marie Mueller-Weinitschke, Claudia Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title | Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title_full | Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title_fullStr | Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title_full_unstemmed | Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title_short | Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis |
title_sort | internet-based behavioral activation for depression: systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251223/ https://www.ncbi.nlm.nih.gov/pubmed/37227760 http://dx.doi.org/10.2196/41643 |
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