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Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review
BACKGROUND: The rapid growth in the use of mobile phone applications (apps) provides the opportunity to increase access to evidence-based mental health care. OBJECTIVE: Our goal was to systematically review the research evidence supporting the efficacy of mental health apps for mobile devices (such...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841358/ https://www.ncbi.nlm.nih.gov/pubmed/24240579 http://dx.doi.org/10.2196/jmir.2791 |
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author | Donker, Tara Petrie, Katherine Proudfoot, Judy Clarke, Janine Birch, Mary-Rose Christensen, Helen |
author_facet | Donker, Tara Petrie, Katherine Proudfoot, Judy Clarke, Janine Birch, Mary-Rose Christensen, Helen |
author_sort | Donker, Tara |
collection | PubMed |
description | BACKGROUND: The rapid growth in the use of mobile phone applications (apps) provides the opportunity to increase access to evidence-based mental health care. OBJECTIVE: Our goal was to systematically review the research evidence supporting the efficacy of mental health apps for mobile devices (such as smartphones and tablets) for all ages. METHODS: A comprehensive literature search (2008-2013) in MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, PsycINFO, PsycTESTS, Compendex, and Inspec was conducted. We included trials that examined the effects of mental health apps (for depression, anxiety, substance use, sleep disturbances, suicidal behavior, self-harm, psychotic disorders, eating disorders, stress, and gambling) delivered on mobile devices with a pre- to posttest design or compared with a control group. The control group could consist of wait list, treatment-as-usual, or another recognized treatment. RESULTS: In total, 5464 abstracts were identified. Of those, 8 papers describing 5 apps targeting depression, anxiety, and substance abuse met the inclusion criteria. Four apps provided support from a mental health professional. Results showed significant reductions in depression, stress, and substance use. Within-group and between-group intention-to-treat effect sizes ranged from 0.29-2.28 and 0.01-0.48 at posttest and follow-up, respectively. CONCLUSIONS: Mental health apps have the potential to be effective and may significantly improve treatment accessibility. However, the majority of apps that are currently available lack scientific evidence about their efficacy. The public needs to be educated on how to identify the few evidence-based mental health apps available in the public domain to date. Further rigorous research is required to develop and test evidence-based programs. Given the small number of studies and participants included in this review, the high risk of bias, and unknown efficacy of long-term follow-up, current findings should be interpreted with caution, pending replication. Two of the 5 evidence-based mental health apps are currently commercially available in app stores. |
format | Online Article Text |
id | pubmed-3841358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38413582013-11-27 Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review Donker, Tara Petrie, Katherine Proudfoot, Judy Clarke, Janine Birch, Mary-Rose Christensen, Helen J Med Internet Res Review BACKGROUND: The rapid growth in the use of mobile phone applications (apps) provides the opportunity to increase access to evidence-based mental health care. OBJECTIVE: Our goal was to systematically review the research evidence supporting the efficacy of mental health apps for mobile devices (such as smartphones and tablets) for all ages. METHODS: A comprehensive literature search (2008-2013) in MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, PsycINFO, PsycTESTS, Compendex, and Inspec was conducted. We included trials that examined the effects of mental health apps (for depression, anxiety, substance use, sleep disturbances, suicidal behavior, self-harm, psychotic disorders, eating disorders, stress, and gambling) delivered on mobile devices with a pre- to posttest design or compared with a control group. The control group could consist of wait list, treatment-as-usual, or another recognized treatment. RESULTS: In total, 5464 abstracts were identified. Of those, 8 papers describing 5 apps targeting depression, anxiety, and substance abuse met the inclusion criteria. Four apps provided support from a mental health professional. Results showed significant reductions in depression, stress, and substance use. Within-group and between-group intention-to-treat effect sizes ranged from 0.29-2.28 and 0.01-0.48 at posttest and follow-up, respectively. CONCLUSIONS: Mental health apps have the potential to be effective and may significantly improve treatment accessibility. However, the majority of apps that are currently available lack scientific evidence about their efficacy. The public needs to be educated on how to identify the few evidence-based mental health apps available in the public domain to date. Further rigorous research is required to develop and test evidence-based programs. Given the small number of studies and participants included in this review, the high risk of bias, and unknown efficacy of long-term follow-up, current findings should be interpreted with caution, pending replication. Two of the 5 evidence-based mental health apps are currently commercially available in app stores. JMIR Publications Inc. 2013-11-15 /pmc/articles/PMC3841358/ /pubmed/24240579 http://dx.doi.org/10.2196/jmir.2791 Text en ©Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, Helen Christensen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.11.2013. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), 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 http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Donker, Tara Petrie, Katherine Proudfoot, Judy Clarke, Janine Birch, Mary-Rose Christensen, Helen Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title | Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title_full | Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title_fullStr | Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title_full_unstemmed | Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title_short | Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review |
title_sort | smartphones for smarter delivery of mental health programs: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841358/ https://www.ncbi.nlm.nih.gov/pubmed/24240579 http://dx.doi.org/10.2196/jmir.2791 |
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