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Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development

Mobile applications have shown promise in supporting people with mental health issues to adopt healthy lifestyles using various persuasive strategies. However, the extent to which mental health apps successfully employ various persuasive strategies remains unknown. Hence, it is important to understa...

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Autores principales: Alqahtani, Felwah, Al Khalifah, Ghazayil, Oyebode, Oladapo, Orji, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861234/
https://www.ncbi.nlm.nih.gov/pubmed/33733119
http://dx.doi.org/10.3389/frai.2019.00030
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author Alqahtani, Felwah
Al Khalifah, Ghazayil
Oyebode, Oladapo
Orji, Rita
author_facet Alqahtani, Felwah
Al Khalifah, Ghazayil
Oyebode, Oladapo
Orji, Rita
author_sort Alqahtani, Felwah
collection PubMed
description Mobile applications have shown promise in supporting people with mental health issues to adopt healthy lifestyles using various persuasive strategies. However, the extent to which mental health apps successfully employ various persuasive strategies remains unknown. Hence, it is important to understand the persuasive strategies integrated into mental health applications (apps) and how they are implemented to promote mental health. This paper aims to achieve three main objectives. First, we review 103 mental health apps and identify distinct persuasive strategies incorporated in them using the Persuasive Systems Design (PSD) model and Behavior Change Techniques (BCTs). We further classify the persuasive strategies based on the type of mental health issues the app is focused on. Second, we reveal the various ways that the persuasive strategies are implemented/operationalized in mental health apps to achieve their intended objectives. Third, we examine the relationship between apps effectiveness (measured by user ratings) and the persuasive strategies employed. To achieve this, two researchers independently downloaded and used all identified apps to identify the persuasive strategies using the PSD model and BCTs. Next, they also examine the various ways that these strategies are implemented in mental health apps. The results show that the apps employed 26 distinct persuasive strategies and a range of 1–10 strategies per app. Self-monitoring (n = 59), personalization (n = 55), and reminder (n = 49) were the most frequently employed strategies. We also found that anxiety, stress, depression, and general mental health issues were the common mental health issues targeted by the apps. Finally, we offer some design recommendations for designing mental health apps based on our findings.
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spelling pubmed-78612342021-03-16 Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development Alqahtani, Felwah Al Khalifah, Ghazayil Oyebode, Oladapo Orji, Rita Front Artif Intell Artificial Intelligence Mobile applications have shown promise in supporting people with mental health issues to adopt healthy lifestyles using various persuasive strategies. However, the extent to which mental health apps successfully employ various persuasive strategies remains unknown. Hence, it is important to understand the persuasive strategies integrated into mental health applications (apps) and how they are implemented to promote mental health. This paper aims to achieve three main objectives. First, we review 103 mental health apps and identify distinct persuasive strategies incorporated in them using the Persuasive Systems Design (PSD) model and Behavior Change Techniques (BCTs). We further classify the persuasive strategies based on the type of mental health issues the app is focused on. Second, we reveal the various ways that the persuasive strategies are implemented/operationalized in mental health apps to achieve their intended objectives. Third, we examine the relationship between apps effectiveness (measured by user ratings) and the persuasive strategies employed. To achieve this, two researchers independently downloaded and used all identified apps to identify the persuasive strategies using the PSD model and BCTs. Next, they also examine the various ways that these strategies are implemented in mental health apps. The results show that the apps employed 26 distinct persuasive strategies and a range of 1–10 strategies per app. Self-monitoring (n = 59), personalization (n = 55), and reminder (n = 49) were the most frequently employed strategies. We also found that anxiety, stress, depression, and general mental health issues were the common mental health issues targeted by the apps. Finally, we offer some design recommendations for designing mental health apps based on our findings. Frontiers Media S.A. 2019-12-17 /pmc/articles/PMC7861234/ /pubmed/33733119 http://dx.doi.org/10.3389/frai.2019.00030 Text en Copyright © 2019 Alqahtani, Al Khalifah, Oyebode and Orji. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Alqahtani, Felwah
Al Khalifah, Ghazayil
Oyebode, Oladapo
Orji, Rita
Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title_full Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title_fullStr Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title_full_unstemmed Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title_short Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
title_sort apps for mental health: an evaluation of behavior change strategies and recommendations for future development
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861234/
https://www.ncbi.nlm.nih.gov/pubmed/33733119
http://dx.doi.org/10.3389/frai.2019.00030
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