Cargando…

Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials

BACKGROUND: The incidence of depression is increasing worldwide. Depression can lead to poor physical health and even suicide. However, in high-income countries, only about 50% of the people with depression receive appropriate therapy, and the detection rate of depression in low- and middle-income c...

Descripción completa

Detalles Bibliográficos
Autores principales: Pang, Yue, Zhang, Xin, Gao, Ruitong, Xu, Linqi, Shen, Meidi, Shi, Hongyu, Li, Yuewei, Li, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359554/
https://www.ncbi.nlm.nih.gov/pubmed/34380440
http://dx.doi.org/10.1186/s12888-021-03396-8
_version_ 1783737571759620096
author Pang, Yue
Zhang, Xin
Gao, Ruitong
Xu, Linqi
Shen, Meidi
Shi, Hongyu
Li, Yuewei
Li, Feng
author_facet Pang, Yue
Zhang, Xin
Gao, Ruitong
Xu, Linqi
Shen, Meidi
Shi, Hongyu
Li, Yuewei
Li, Feng
author_sort Pang, Yue
collection PubMed
description BACKGROUND: The incidence of depression is increasing worldwide. Depression can lead to poor physical health and even suicide. However, in high-income countries, only about 50% of the people with depression receive appropriate therapy, and the detection rate of depression in low- and middle-income countries is relatively lower. Web-based self-management enables remote treatment and solves the problem of insufficient psychological treatment resources. Many past studies have evaluated the effectiveness of web-based self-management of depression, but there has been no synthesis of evidence. Therefore, this study conducted a meta-analysis of the effectiveness of web-based self-management for depressive symptoms. METHOD: Six electronic databases (Cochrane Central Register of Controlled Trials, PubMed, Web of Science, Embase, CINAHL, and PsycINFO) were searched in September 2020. All literature referring to the effects of web-based self-management on depression were shortlisted by performing the medical subject headings (MeSH) search combined with a text word search. RESULTS: A total of 18 eligible randomized controlled trials were identified, and the results from 3055 participants were consolidated. The web-based self-management group exhibited a greater reduction in depressive symptoms than the control group (g = − 0.46; 95% CI: 0.62,0.30), and there was no evidence of publication bias. Subgroup analysis revealed that patients with moderate-to-severe depression benefited from web-based self-management interventions. In terms of interventions, those based on cognitive behavioral therapy (CBT) were highly effective. We noted that the longer the intervention time, the better was the improvement in the status of depression. Furthermore, it was established that participants who communicated with therapists and showed greater adherence to the intervention experienced significant improvement in their symptoms. The results of the intervention group were better than those of the waiting-list, treatment-as-usual, and online psychoeducation groups. CONCLUSIONS: Web-based self-management is a promising therapy for depression. Future research should aim to refine these aspects of the intervention to achieve a beneficial impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03396-8.
format Online
Article
Text
id pubmed-8359554
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83595542021-08-16 Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials Pang, Yue Zhang, Xin Gao, Ruitong Xu, Linqi Shen, Meidi Shi, Hongyu Li, Yuewei Li, Feng BMC Psychiatry Research BACKGROUND: The incidence of depression is increasing worldwide. Depression can lead to poor physical health and even suicide. However, in high-income countries, only about 50% of the people with depression receive appropriate therapy, and the detection rate of depression in low- and middle-income countries is relatively lower. Web-based self-management enables remote treatment and solves the problem of insufficient psychological treatment resources. Many past studies have evaluated the effectiveness of web-based self-management of depression, but there has been no synthesis of evidence. Therefore, this study conducted a meta-analysis of the effectiveness of web-based self-management for depressive symptoms. METHOD: Six electronic databases (Cochrane Central Register of Controlled Trials, PubMed, Web of Science, Embase, CINAHL, and PsycINFO) were searched in September 2020. All literature referring to the effects of web-based self-management on depression were shortlisted by performing the medical subject headings (MeSH) search combined with a text word search. RESULTS: A total of 18 eligible randomized controlled trials were identified, and the results from 3055 participants were consolidated. The web-based self-management group exhibited a greater reduction in depressive symptoms than the control group (g = − 0.46; 95% CI: 0.62,0.30), and there was no evidence of publication bias. Subgroup analysis revealed that patients with moderate-to-severe depression benefited from web-based self-management interventions. In terms of interventions, those based on cognitive behavioral therapy (CBT) were highly effective. We noted that the longer the intervention time, the better was the improvement in the status of depression. Furthermore, it was established that participants who communicated with therapists and showed greater adherence to the intervention experienced significant improvement in their symptoms. The results of the intervention group were better than those of the waiting-list, treatment-as-usual, and online psychoeducation groups. CONCLUSIONS: Web-based self-management is a promising therapy for depression. Future research should aim to refine these aspects of the intervention to achieve a beneficial impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03396-8. BioMed Central 2021-08-11 /pmc/articles/PMC8359554/ /pubmed/34380440 http://dx.doi.org/10.1186/s12888-021-03396-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pang, Yue
Zhang, Xin
Gao, Ruitong
Xu, Linqi
Shen, Meidi
Shi, Hongyu
Li, Yuewei
Li, Feng
Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title_full Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title_fullStr Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title_full_unstemmed Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title_short Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
title_sort efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359554/
https://www.ncbi.nlm.nih.gov/pubmed/34380440
http://dx.doi.org/10.1186/s12888-021-03396-8
work_keys_str_mv AT pangyue efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT zhangxin efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT gaoruitong efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT xulinqi efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT shenmeidi efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT shihongyu efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT liyuewei efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials
AT lifeng efficacyofwebbasedselfmanagementinterventionsfordepressivesymptomsametaanalysisofrandomizedcontrolledtrials