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Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis
BACKGROUND: Digital mental health apps are rapidly becoming a common source of accessible support across the world, but their effectiveness is often influenced by limited helpfulness and engagement. OBJECTIVE: This study’s primary objective was to analyze feedback content to understand users’ experi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044157/ https://www.ncbi.nlm.nih.gov/pubmed/35249886 http://dx.doi.org/10.2196/35668 |
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author | Malik, Tanya Ambrose, Adrian Jacques Sinha, Chaitali |
author_facet | Malik, Tanya Ambrose, Adrian Jacques Sinha, Chaitali |
author_sort | Malik, Tanya |
collection | PubMed |
description | BACKGROUND: Digital mental health apps are rapidly becoming a common source of accessible support across the world, but their effectiveness is often influenced by limited helpfulness and engagement. OBJECTIVE: This study’s primary objective was to analyze feedback content to understand users’ experiences with engaging with a digital mental health app. As a secondary objective, an exploratory analysis captured the types of mental health app users. METHODS: This study utilized a user-led approach to understanding factors for engagement and helpfulness in digital mental health by analyzing feedback (n=7929) reported on Google Play Store about Wysa, a mental health app (1-year period). The analysis of keywords in the user feedback categorized and evaluated the reported user experience into the core domains of acceptability, usability, usefulness, and integration. The study also captured key deficits and strengths of the app and explored salient characteristics of the types of users who benefit from accessible digital mental health support. RESULTS: The analysis of user feedback found the app to be overwhelmingly positively reviewed (6700/7929, 84.50% 5-star rating). The themes of engaging exercises, interactive interface, and artificial intelligence (AI) conversational ability indicated the acceptability of the app, while the nonjudgmentality and ease of conversation highlighted its usability. The app’s usefulness was portrayed by themes such as improvement in mental health, convenient access, and cognitive restructuring exercises. Themes of privacy and confidentiality underscored users’ preference for the integrated aspects of the app. Further analysis revealed 4 predominant types of individuals who shared app feedback on the store. CONCLUSIONS: Users reported therapeutic elements of a comfortable, safe, and supportive environment through using the digital mental health app. Digital mental health apps may expand mental health access to those unable to access traditional forms of mental health support and treatments. |
format | Online Article Text |
id | pubmed-9044157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-90441572022-04-28 Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis Malik, Tanya Ambrose, Adrian Jacques Sinha, Chaitali JMIR Hum Factors Original Paper BACKGROUND: Digital mental health apps are rapidly becoming a common source of accessible support across the world, but their effectiveness is often influenced by limited helpfulness and engagement. OBJECTIVE: This study’s primary objective was to analyze feedback content to understand users’ experiences with engaging with a digital mental health app. As a secondary objective, an exploratory analysis captured the types of mental health app users. METHODS: This study utilized a user-led approach to understanding factors for engagement and helpfulness in digital mental health by analyzing feedback (n=7929) reported on Google Play Store about Wysa, a mental health app (1-year period). The analysis of keywords in the user feedback categorized and evaluated the reported user experience into the core domains of acceptability, usability, usefulness, and integration. The study also captured key deficits and strengths of the app and explored salient characteristics of the types of users who benefit from accessible digital mental health support. RESULTS: The analysis of user feedback found the app to be overwhelmingly positively reviewed (6700/7929, 84.50% 5-star rating). The themes of engaging exercises, interactive interface, and artificial intelligence (AI) conversational ability indicated the acceptability of the app, while the nonjudgmentality and ease of conversation highlighted its usability. The app’s usefulness was portrayed by themes such as improvement in mental health, convenient access, and cognitive restructuring exercises. Themes of privacy and confidentiality underscored users’ preference for the integrated aspects of the app. Further analysis revealed 4 predominant types of individuals who shared app feedback on the store. CONCLUSIONS: Users reported therapeutic elements of a comfortable, safe, and supportive environment through using the digital mental health app. Digital mental health apps may expand mental health access to those unable to access traditional forms of mental health support and treatments. JMIR Publications 2022-04-12 /pmc/articles/PMC9044157/ /pubmed/35249886 http://dx.doi.org/10.2196/35668 Text en ©Tanya Malik, Adrian Jacques Ambrose, Chaitali Sinha. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 12.04.2022. 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 Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Malik, Tanya Ambrose, Adrian Jacques Sinha, Chaitali Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title | Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title_full | Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title_fullStr | Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title_full_unstemmed | Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title_short | Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis |
title_sort | evaluating user feedback for an artificial intelligence–enabled, cognitive behavioral therapy–based mental health app (wysa): qualitative thematic analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044157/ https://www.ncbi.nlm.nih.gov/pubmed/35249886 http://dx.doi.org/10.2196/35668 |
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