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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 and Ware, Anna 2018, A mobile app-based intervention for depression: end-user and expert usability testing Study, JMIR mental health, vol. 5, no. 3, Jul-Sept, pp. 1-12, doi: 10.2196/mental.9445.

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Title A mobile app-based intervention for depression: end-user and expert usability testing Study
Author(s) Fuller-Tyszkiewicz, MatthewORCID iD for Fuller-Tyszkiewicz, Matthew orcid.org/0000-0003-1145-6057
Richardson, BenORCID iD for Richardson, Ben orcid.org/0000-0002-8485-8973
Klein, Britt
Skouteris, Helen
Christensen, Helen
Austin, DavidORCID iD for Austin, David orcid.org/0000-0002-1296-3555
Castle, David
Mihalopoulos, CathrineORCID iD for Mihalopoulos, Cathrine orcid.org/0000-0002-7127-9462
O'Donnell, ReneeORCID iD for O'Donnell, Renee orcid.org/0000-0003-2563-2867
Arulkadacham, Lilani
Shatte, Adrian
Ware, Anna
Journal name JMIR mental health
Volume number 5
Issue number 3
Season Jul-Sept
Article ID e54
Start page 1
End page 12
Total pages 12
Publisher JMIR Publications
Place of publication Ontario, Canada
Publication date 2018-07
ISSN 2368-7959
Keyword(s) depression
eHealth
mHealth
young adult
Summary 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.
Language eng
DOI 10.2196/mental.9445
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30113243

Document type: Journal Article
Collections: School of Psychology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.