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Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review
BACKGROUND: Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the tech...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087966/ https://www.ncbi.nlm.nih.gov/pubmed/33861201 http://dx.doi.org/10.2196/26268 |
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author | Tokgöz, Pinar Hrynyschyn, Robert Hafner, Jessica Schönfeld, Simone Dockweiler, Christoph |
author_facet | Tokgöz, Pinar Hrynyschyn, Robert Hafner, Jessica Schönfeld, Simone Dockweiler, Christoph |
author_sort | Tokgöz, Pinar |
collection | PubMed |
description | BACKGROUND: Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users. OBJECTIVE: The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS: A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool. RESULTS: In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found. CONCLUSIONS: Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic. |
format | Online Article Text |
id | pubmed-8087966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80879662021-05-07 Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review Tokgöz, Pinar Hrynyschyn, Robert Hafner, Jessica Schönfeld, Simone Dockweiler, Christoph JMIR Ment Health Review BACKGROUND: Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users. OBJECTIVE: The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS: A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool. RESULTS: In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found. CONCLUSIONS: Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic. JMIR Publications 2021-04-16 /pmc/articles/PMC8087966/ /pubmed/33861201 http://dx.doi.org/10.2196/26268 Text en ©Pinar Tokgöz, Robert Hrynyschyn, Jessica Hafner, Simone Schönfeld, Christoph Dockweiler. Originally published in JMIR Mental Health (http://mental.jmir.org), 16.04.2021. 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 JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Tokgöz, Pinar Hrynyschyn, Robert Hafner, Jessica Schönfeld, Simone Dockweiler, Christoph Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title | Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title_full | Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title_fullStr | Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title_full_unstemmed | Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title_short | Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review |
title_sort | digital health interventions in prevention, relapse, and therapy of mild and moderate depression: scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087966/ https://www.ncbi.nlm.nih.gov/pubmed/33861201 http://dx.doi.org/10.2196/26268 |
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