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The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis
We report a meta-analysis of virtual reality (VR) interventions for anxiety and depression outcomes, as well as treatment attrition. We included randomized controlled trials comparing VR interventions, alone or in combination, to control conditions or other active psychological interventions. Effect...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037699/ https://www.ncbi.nlm.nih.gov/pubmed/29985400 http://dx.doi.org/10.1038/s41598-018-28113-6 |
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author | Fodor, Liviu A. Coteț, Carmen D. Cuijpers, Pim Szamoskozi, Ștefan David, Daniel Cristea, Ioana A. |
author_facet | Fodor, Liviu A. Coteț, Carmen D. Cuijpers, Pim Szamoskozi, Ștefan David, Daniel Cristea, Ioana A. |
author_sort | Fodor, Liviu A. |
collection | PubMed |
description | We report a meta-analysis of virtual reality (VR) interventions for anxiety and depression outcomes, as well as treatment attrition. We included randomized controlled trials comparing VR interventions, alone or in combination, to control conditions or other active psychological interventions. Effects sizes (Hedges’ g) for anxiety and depression outcomes, as post-test and follow-up, were pooled with a random-effects model. Drop-outs were compared using odds ratio (OR) with a Mantel-Haenszel model. We included 39 trials (52 comparisons). Trial risk of bias was unclear for most domains, and high for incomplete outcome data. VR-based therapies were more effective than control at post-test for anxiety, g = 0.79, 95% CI 0.57 to 1.02, and depression, g = 0.73, 95% CI 0.25 to 1.21, but not for treatment attrition, OR = 1.34, 95% CI 0.95 to 1.89. Heterogeneity was high and there was consistent evidence of small study effects. There were no significant differences between VR-based and other active interventions. VR interventions outperformed control conditions for anxiety and depression but did not improve treatment drop-out. High heterogeneity, potential publication bias, predominant use of waitlist controls, and high or uncertain risk of bias of most trials question the reliability of these effects. |
format | Online Article Text |
id | pubmed-6037699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60376992018-07-12 The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis Fodor, Liviu A. Coteț, Carmen D. Cuijpers, Pim Szamoskozi, Ștefan David, Daniel Cristea, Ioana A. Sci Rep Article We report a meta-analysis of virtual reality (VR) interventions for anxiety and depression outcomes, as well as treatment attrition. We included randomized controlled trials comparing VR interventions, alone or in combination, to control conditions or other active psychological interventions. Effects sizes (Hedges’ g) for anxiety and depression outcomes, as post-test and follow-up, were pooled with a random-effects model. Drop-outs were compared using odds ratio (OR) with a Mantel-Haenszel model. We included 39 trials (52 comparisons). Trial risk of bias was unclear for most domains, and high for incomplete outcome data. VR-based therapies were more effective than control at post-test for anxiety, g = 0.79, 95% CI 0.57 to 1.02, and depression, g = 0.73, 95% CI 0.25 to 1.21, but not for treatment attrition, OR = 1.34, 95% CI 0.95 to 1.89. Heterogeneity was high and there was consistent evidence of small study effects. There were no significant differences between VR-based and other active interventions. VR interventions outperformed control conditions for anxiety and depression but did not improve treatment drop-out. High heterogeneity, potential publication bias, predominant use of waitlist controls, and high or uncertain risk of bias of most trials question the reliability of these effects. Nature Publishing Group UK 2018-07-09 /pmc/articles/PMC6037699/ /pubmed/29985400 http://dx.doi.org/10.1038/s41598-018-28113-6 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fodor, Liviu A. Coteț, Carmen D. Cuijpers, Pim Szamoskozi, Ștefan David, Daniel Cristea, Ioana A. The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title | The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title_full | The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title_fullStr | The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title_full_unstemmed | The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title_short | The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis |
title_sort | effectiveness of virtual reality based interventions for symptoms of anxiety and depression: a meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037699/ https://www.ncbi.nlm.nih.gov/pubmed/29985400 http://dx.doi.org/10.1038/s41598-018-28113-6 |
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