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What might get in the way: Barriers to the use of apps for depression
OBJECTIVE: Smartphones are being used with increasing frequency to deliver behavioral interventions for depression via apps. However, barriers specific to using an app for depression are poorly defined. The purpose of the current study is to identify barriers to the use of a mobile app to deliver tr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001178/ https://www.ncbi.nlm.nih.gov/pubmed/29942605 http://dx.doi.org/10.1177/2055207617713827 |
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author | Stiles-Shields, Colleen Montague, Enid Lattie, Emily G Kwasny, Mary J Mohr, David C |
author_facet | Stiles-Shields, Colleen Montague, Enid Lattie, Emily G Kwasny, Mary J Mohr, David C |
author_sort | Stiles-Shields, Colleen |
collection | PubMed |
description | OBJECTIVE: Smartphones are being used with increasing frequency to deliver behavioral interventions for depression via apps. However, barriers specific to using an app for depression are poorly defined. The purpose of the current study is to identify barriers to the use of a mobile app to deliver treatment for depression. Secondarily, design implications will be provided based upon identified barriers. METHOD: A card sorting task that ranked and grouped barriers to the use of apps for depression was completed. Participants first completed a card sorting task identifying barriers to face-to-face treatment, as a primer to identification of treatment barriers. The sample consisted of those above (n = 9) and below (n = 11) the threshold for a referral to psychotherapy, to capture anticipated barriers for likely end users. Cluster analyses were conducted to analyze the card sorting data. Multiple analyses were conducted to identify: 1) the most important barriers, and 2) how consistently barriers were ranked as important. RESULT: The card sorting task identified a number of primary barriers to the use of apps for depression treatment, including concerns over intervention efficacy, app functioning, privacy, cost, and lack of guidance and tailored feedback. The top face-to-face treatment barrier was cost, overlapping with mobile barriers. CONCLUSION: This study identified perceived barriers to the use of mobile treatment apps. Identification of barriers implicates design recommendations for apps for depression. |
format | Online Article Text |
id | pubmed-6001178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60011782018-06-25 What might get in the way: Barriers to the use of apps for depression Stiles-Shields, Colleen Montague, Enid Lattie, Emily G Kwasny, Mary J Mohr, David C Digit Health Original Research OBJECTIVE: Smartphones are being used with increasing frequency to deliver behavioral interventions for depression via apps. However, barriers specific to using an app for depression are poorly defined. The purpose of the current study is to identify barriers to the use of a mobile app to deliver treatment for depression. Secondarily, design implications will be provided based upon identified barriers. METHOD: A card sorting task that ranked and grouped barriers to the use of apps for depression was completed. Participants first completed a card sorting task identifying barriers to face-to-face treatment, as a primer to identification of treatment barriers. The sample consisted of those above (n = 9) and below (n = 11) the threshold for a referral to psychotherapy, to capture anticipated barriers for likely end users. Cluster analyses were conducted to analyze the card sorting data. Multiple analyses were conducted to identify: 1) the most important barriers, and 2) how consistently barriers were ranked as important. RESULT: The card sorting task identified a number of primary barriers to the use of apps for depression treatment, including concerns over intervention efficacy, app functioning, privacy, cost, and lack of guidance and tailored feedback. The top face-to-face treatment barrier was cost, overlapping with mobile barriers. CONCLUSION: This study identified perceived barriers to the use of mobile treatment apps. Identification of barriers implicates design recommendations for apps for depression. SAGE Publications 2017-06-08 /pmc/articles/PMC6001178/ /pubmed/29942605 http://dx.doi.org/10.1177/2055207617713827 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (http://www.creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Stiles-Shields, Colleen Montague, Enid Lattie, Emily G Kwasny, Mary J Mohr, David C What might get in the way: Barriers to the use of apps for depression |
title | What might get in the way: Barriers to the use of apps for depression |
title_full | What might get in the way: Barriers to the use of apps for depression |
title_fullStr | What might get in the way: Barriers to the use of apps for depression |
title_full_unstemmed | What might get in the way: Barriers to the use of apps for depression |
title_short | What might get in the way: Barriers to the use of apps for depression |
title_sort | what might get in the way: barriers to the use of apps for depression |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001178/ https://www.ncbi.nlm.nih.gov/pubmed/29942605 http://dx.doi.org/10.1177/2055207617713827 |
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