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A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study
BACKGROUND: Despite the growing number of mental health apps available for smartphones, the perceived usability of these apps from the perspectives of end users or health care experts has rarely been reported. This information is vital, particularly for self-guided mHealth interventions, as percepti...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127496/ https://www.ncbi.nlm.nih.gov/pubmed/30139722 http://dx.doi.org/10.2196/mental.9445 |
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author | Fuller-Tyszkiewicz, Matthew Richardson, Ben Klein, Britt Skouteris, Helen Christensen, Helen Austin, David Castle, David Mihalopoulos, Cathrine O'Donnell, Renee Arulkadacham, Lilani Shatte, Adrian Ware, Anna |
author_facet | Fuller-Tyszkiewicz, Matthew Richardson, Ben Klein, Britt Skouteris, Helen Christensen, Helen Austin, David Castle, David Mihalopoulos, Cathrine O'Donnell, Renee Arulkadacham, Lilani Shatte, Adrian Ware, Anna |
author_sort | Fuller-Tyszkiewicz, Matthew |
collection | PubMed |
description | BACKGROUND: Despite the growing number of mental health apps available for smartphones, the perceived usability of these apps from the perspectives of end users or health care experts has rarely been reported. This information is vital, particularly for self-guided mHealth interventions, as perceptions of navigability and quality of content are likely to impact participant engagement and treatment compliance. OBJECTIVE: The aim of this study was to conduct a usability evaluation of a personalized, self-guided, app-based intervention for depression. METHODS: Participants were administered the System Usability Scale and open-ended questions as part of a semistructured interview. There were 15 participants equally divided into 3 groups: (1) individuals with clinical depression who were the target audience for the app, (2) mental health professionals, and (3) researchers who specialize in the area of eHealth interventions and/or depression research. RESULTS: The end-user group rated the app highly, both in quantitative and qualitative assessments. The 2 expert groups highlighted the self-monitoring features and range of established psychological treatment options (such as behavioral activation and cognitive restructuring) but had concerns that the amount and layout of content may be difficult for end users to navigate in a self-directed fashion. The end-user data did not confirm these concerns. CONCLUSIONS: Encouraging participant engagement via self-monitoring and feedback, as well as personalized messaging, may be a viable way to maintain participation in self-guided interventions. Further evaluation is necessary to determine whether levels of engagement with these features enhance treatment effects. |
format | Online Article Text |
id | pubmed-6127496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-61274962018-09-13 A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study Fuller-Tyszkiewicz, Matthew Richardson, Ben Klein, Britt Skouteris, Helen Christensen, Helen Austin, David Castle, David Mihalopoulos, Cathrine O'Donnell, Renee Arulkadacham, Lilani Shatte, Adrian Ware, Anna JMIR Ment Health Original Paper BACKGROUND: Despite the growing number of mental health apps available for smartphones, the perceived usability of these apps from the perspectives of end users or health care experts has rarely been reported. This information is vital, particularly for self-guided mHealth interventions, as perceptions of navigability and quality of content are likely to impact participant engagement and treatment compliance. OBJECTIVE: The aim of this study was to conduct a usability evaluation of a personalized, self-guided, app-based intervention for depression. METHODS: Participants were administered the System Usability Scale and open-ended questions as part of a semistructured interview. There were 15 participants equally divided into 3 groups: (1) individuals with clinical depression who were the target audience for the app, (2) mental health professionals, and (3) researchers who specialize in the area of eHealth interventions and/or depression research. RESULTS: The end-user group rated the app highly, both in quantitative and qualitative assessments. The 2 expert groups highlighted the self-monitoring features and range of established psychological treatment options (such as behavioral activation and cognitive restructuring) but had concerns that the amount and layout of content may be difficult for end users to navigate in a self-directed fashion. The end-user data did not confirm these concerns. CONCLUSIONS: Encouraging participant engagement via self-monitoring and feedback, as well as personalized messaging, may be a viable way to maintain participation in self-guided interventions. Further evaluation is necessary to determine whether levels of engagement with these features enhance treatment effects. JMIR Publications 2018-08-23 /pmc/articles/PMC6127496/ /pubmed/30139722 http://dx.doi.org/10.2196/mental.9445 Text en ©Matthew Fuller-Tyszkiewicz, Ben Richardson, Britt Klein, Helen Skouteris, Helen Christensen, David Austin, David Castle, Cathrine Mihalopoulos, Renee O'Donnell, Lilani Arulkadacham, Adrian Shatte, Anna Ware. Originally published in JMIR Mental Health (http://mental.jmir.org), 23.08.2018. 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 Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Fuller-Tyszkiewicz, Matthew Richardson, Ben Klein, Britt Skouteris, Helen Christensen, Helen Austin, David Castle, David Mihalopoulos, Cathrine O'Donnell, Renee Arulkadacham, Lilani Shatte, Adrian Ware, Anna A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title | A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title_full | A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title_fullStr | A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title_full_unstemmed | A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title_short | A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study |
title_sort | mobile app–based intervention for depression: end-user and expert usability testing study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127496/ https://www.ncbi.nlm.nih.gov/pubmed/30139722 http://dx.doi.org/10.2196/mental.9445 |
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