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Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis

BACKGROUND: The use of apps for the treatment of depression shows great promise. However, there is uncertainty regarding the alignment of publicly available apps for depression with clinical guidance, their treatment fidelity and evidence base, and their overall safety. OBJECTIVE: Built on previous...

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Autores principales: Bowie-DaBreo, Dionne, Sünram-Lea, Sandra I, Sas, Corina, Iles-Smith, Heather
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695532/
https://www.ncbi.nlm.nih.gov/pubmed/33185566
http://dx.doi.org/10.2196/14988
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author Bowie-DaBreo, Dionne
Sünram-Lea, Sandra I
Sas, Corina
Iles-Smith, Heather
author_facet Bowie-DaBreo, Dionne
Sünram-Lea, Sandra I
Sas, Corina
Iles-Smith, Heather
author_sort Bowie-DaBreo, Dionne
collection PubMed
description BACKGROUND: The use of apps for the treatment of depression shows great promise. However, there is uncertainty regarding the alignment of publicly available apps for depression with clinical guidance, their treatment fidelity and evidence base, and their overall safety. OBJECTIVE: Built on previous analyses and reviews, this study aims to explore the treatment and safety issues of publicly available apps for depression. METHODS: We conducted a content analysis of apps for depression in the 2 main UK app stores (Google Play and Apple App Store). App store listings were analyzed for intervention content, treatment fidelity, and fit with the National Institute for Health and Care Excellence (NICE) guidelines for the treatment of depression in adults. RESULTS: A total of 353 apps for depression were included in the review. App descriptions reported the use of 20 treatment approaches and 37 treatment strategies. Many apps used transdiagnostic (155/353, 43.9%) and multitheoretical interventions to treat multiple disorders including depression. Although many interventions appeared to be evidence-informed, there were issues with treatment fidelity, research evidence, and fit with clinical guidelines. None of the apps fully aligned with the NICE guidelines for depression. CONCLUSIONS: App developers have adopted many evidence-informed treatments in their interventions; however, more work is needed to improve clinical validity, treatment fidelity, and the safety of apps. We urge developers to consult relevant guidelines and standards, and to engage in reflective questioning on treatment and safety to address these issues and to improve treatment content and intervention design.
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spelling pubmed-76955322020-11-30 Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis Bowie-DaBreo, Dionne Sünram-Lea, Sandra I Sas, Corina Iles-Smith, Heather JMIR Form Res Original Paper BACKGROUND: The use of apps for the treatment of depression shows great promise. However, there is uncertainty regarding the alignment of publicly available apps for depression with clinical guidance, their treatment fidelity and evidence base, and their overall safety. OBJECTIVE: Built on previous analyses and reviews, this study aims to explore the treatment and safety issues of publicly available apps for depression. METHODS: We conducted a content analysis of apps for depression in the 2 main UK app stores (Google Play and Apple App Store). App store listings were analyzed for intervention content, treatment fidelity, and fit with the National Institute for Health and Care Excellence (NICE) guidelines for the treatment of depression in adults. RESULTS: A total of 353 apps for depression were included in the review. App descriptions reported the use of 20 treatment approaches and 37 treatment strategies. Many apps used transdiagnostic (155/353, 43.9%) and multitheoretical interventions to treat multiple disorders including depression. Although many interventions appeared to be evidence-informed, there were issues with treatment fidelity, research evidence, and fit with clinical guidelines. None of the apps fully aligned with the NICE guidelines for depression. CONCLUSIONS: App developers have adopted many evidence-informed treatments in their interventions; however, more work is needed to improve clinical validity, treatment fidelity, and the safety of apps. We urge developers to consult relevant guidelines and standards, and to engage in reflective questioning on treatment and safety to address these issues and to improve treatment content and intervention design. JMIR Publications 2020-11-13 /pmc/articles/PMC7695532/ /pubmed/33185566 http://dx.doi.org/10.2196/14988 Text en ©Dionne Bowie-DaBreo, Sandra I Sünram-Lea, Corina Sas, Heather Iles-Smith. Originally published in JMIR Formative Research (http://formative.jmir.org), 13.11.2020. 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 Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Bowie-DaBreo, Dionne
Sünram-Lea, Sandra I
Sas, Corina
Iles-Smith, Heather
Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title_full Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title_fullStr Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title_full_unstemmed Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title_short Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis
title_sort evaluation of treatment descriptions and alignment with clinical guidance of apps for depression on app stores: systematic search and content analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695532/
https://www.ncbi.nlm.nih.gov/pubmed/33185566
http://dx.doi.org/10.2196/14988
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