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Exploring how informed mental health app selection may impact user engagement and satisfaction
The prevalence of mental health app use by people suffering from mental health disorders is rapidly growing. The integration of mental health apps shows promise in increasing the accessibility and quality of treatment. However, a lack of continued engagement is one of the significant challenges of s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058075/ https://www.ncbi.nlm.nih.gov/pubmed/36989237 http://dx.doi.org/10.1371/journal.pdig.0000219 |
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author | Kopka, Marvin Camacho, Erica Kwon, Sam Torous, John |
author_facet | Kopka, Marvin Camacho, Erica Kwon, Sam Torous, John |
author_sort | Kopka, Marvin |
collection | PubMed |
description | The prevalence of mental health app use by people suffering from mental health disorders is rapidly growing. The integration of mental health apps shows promise in increasing the accessibility and quality of treatment. However, a lack of continued engagement is one of the significant challenges of such implementation. In response, the M-health Index and Navigation Database (MIND)- derived from the American Psychiatric Association’s app evaluation framework- was created to support patient autonomy and enhance engagement. This study aimed to identify factors influencing engagement with mental health apps and explore how MIND may affect user engagement around selected apps. We conducted a longitudinal online survey over six weeks after participants were instructed to find mental health apps using MIND. The survey included demographic information, technology usage, access to healthcare, app selection information, System Usability Scale, the Digital Working Alliance Inventory, and the General Self-Efficacy Scale questions. Quantitative analysis was performed to analyze the data. A total of 321 surveys were completed (178 at the initial, 90 at the 2-week mark, and 53 at the 6-week mark). The most influential factors when choosing mental health apps included cost (76%), condition supported by the app (59%), and app features offered (51%), while privacy and clinical foundation to support app claims were among the least selected filters. The top ten apps selected by participants were analyzed for engagement. Rates of engagement among the top-ten apps decreased by 43% from the initial to week two and 22% from week two to week six on average. In the context of overall low engagement with mental health apps, implementation of mental health app databases like MIND can play an essential role in maintaining higher engagement and satisfaction. Together, this study offers early data on how educational approaches like MIND may help bolster mental health apps engagement. |
format | Online Article Text |
id | pubmed-10058075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100580752023-03-30 Exploring how informed mental health app selection may impact user engagement and satisfaction Kopka, Marvin Camacho, Erica Kwon, Sam Torous, John PLOS Digit Health Research Article The prevalence of mental health app use by people suffering from mental health disorders is rapidly growing. The integration of mental health apps shows promise in increasing the accessibility and quality of treatment. However, a lack of continued engagement is one of the significant challenges of such implementation. In response, the M-health Index and Navigation Database (MIND)- derived from the American Psychiatric Association’s app evaluation framework- was created to support patient autonomy and enhance engagement. This study aimed to identify factors influencing engagement with mental health apps and explore how MIND may affect user engagement around selected apps. We conducted a longitudinal online survey over six weeks after participants were instructed to find mental health apps using MIND. The survey included demographic information, technology usage, access to healthcare, app selection information, System Usability Scale, the Digital Working Alliance Inventory, and the General Self-Efficacy Scale questions. Quantitative analysis was performed to analyze the data. A total of 321 surveys were completed (178 at the initial, 90 at the 2-week mark, and 53 at the 6-week mark). The most influential factors when choosing mental health apps included cost (76%), condition supported by the app (59%), and app features offered (51%), while privacy and clinical foundation to support app claims were among the least selected filters. The top ten apps selected by participants were analyzed for engagement. Rates of engagement among the top-ten apps decreased by 43% from the initial to week two and 22% from week two to week six on average. In the context of overall low engagement with mental health apps, implementation of mental health app databases like MIND can play an essential role in maintaining higher engagement and satisfaction. Together, this study offers early data on how educational approaches like MIND may help bolster mental health apps engagement. Public Library of Science 2023-03-29 /pmc/articles/PMC10058075/ /pubmed/36989237 http://dx.doi.org/10.1371/journal.pdig.0000219 Text en © 2023 Kopka et al 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 author and source are credited. |
spellingShingle | Research Article Kopka, Marvin Camacho, Erica Kwon, Sam Torous, John Exploring how informed mental health app selection may impact user engagement and satisfaction |
title | Exploring how informed mental health app selection may impact user engagement and satisfaction |
title_full | Exploring how informed mental health app selection may impact user engagement and satisfaction |
title_fullStr | Exploring how informed mental health app selection may impact user engagement and satisfaction |
title_full_unstemmed | Exploring how informed mental health app selection may impact user engagement and satisfaction |
title_short | Exploring how informed mental health app selection may impact user engagement and satisfaction |
title_sort | exploring how informed mental health app selection may impact user engagement and satisfaction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058075/ https://www.ncbi.nlm.nih.gov/pubmed/36989237 http://dx.doi.org/10.1371/journal.pdig.0000219 |
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