Linardon, Jake, King, Teagan, Shatte, Adrian, and Fuller-Tyszkiewicz, Matthew (2022) Usability Evaluation of a Cognitive-Behavioral App-Based Intervention for Binge Eating and Related Psychopathology: A Qualitative Study. Behavior Modification, 46 (5). pp. 1002-1020.

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Abstract

Despite their promise as a scalable intervention modality for binge eating and related problems, reviews show that engagement of app-based interventions is variable. Issues with usability may account for this. App developers should undertake usability testing so that any problems can be identified and fixed prior to dissemination. We conducted a qualitative usability evaluation of a newly-developed app for binge eating in 14 individuals with a diagnostic- or subthreshold-level binge eating symptoms. Participants completed a semi-structured interview and self-report measures. Qualitative data were organized into six themes: usability, visual design, user engagement, content, therapeutic persuasiveness, and therapeutic alliance. Qualitative and quantitative results indicated that the app demonstrated good usability. Key advantages reported were its flexible content-delivery formats, level of interactivity, easy-to-understand information, and ability to track progress. Concerns with visual aesthetics and lack of professional feedback were raised. Findings will inform the optimal design of app-based interventions for eating disorder symptoms.

Item ID:	81619
Item Type:	Article (Research - C1)
ISSN:	1552-4167
Keywords:	usability evaluation; smartphone app; eating disorder; e-health
Copyright Information:	© The Author(s) 2021. Article reuse guidelines: sagepub.com/journals-permissions.
Date Deposited:	22 Apr 2024 00:09
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460806 Human-computer interaction @ 80% 52 PSYCHOLOGY > 5299 Other psychology > 529999 Other psychology not elsewhere classified @ 20%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220407 Human-computer interaction @ 70% 20 HEALTH > 2004 Public health (excl. specific population health) > 200409 Mental health @ 30%
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