A Narrative Review of Methods for Applying User Experience in the Design and Assessment of Mental Health Smartphone Interventions

Author:

Lemon ChristopherORCID,Huckvale Kit,Carswell Kenneth,Torous John

Abstract

AbstractObjectivesUser experience (UX) plays a key role in uptake and usage of mental health smartphone interventions, yet remains underinvestigated. This review aimed to characterize and compare UX evaluation approaches that have been applied in this specific context, and to identify implications for research and practice.MethodsA narrative review was conducted of UX-themed studies published in PubMed, PsycINFO, and Scopus up to February 2019. Eligible studies reported on data reflecting users' interactions with a smartphone intervention for any mental health condition. Studies were categorized into “situated” versus “construct-based” methods according to whether or not an established UX construct was used to acquire and analyze data.ResultsSituated approaches used bespoke UX metrics, including quantitative measures of usage and performance, as well as grounded interview data. Construct-based approaches such as assessments of usability and acceptability were based on conceptual frameworks, with methodologically stronger versions featuring construct definitions, validated measurement tools, and an ability to compare data across studies. Constructs and measures were sometimes combined to form bespoke construct-based approaches.ConclusionsBoth situated and construct-based UX data may provide benefits during design and implementation of a mental health smartphone intervention by helping to clarify the needs of users and the impact of new features. Notable however was the omission of UX methods, such as split testing. Future research should consider these unaddressed methods, aim to improve the rigor of UX assessment, integrate their use alongside clinical outcomes, and explore UX assessment of more complex, adaptive interventions.

Publisher

Cambridge University Press (CUP)

Subject

Health Policy

Reference56 articles.

1. Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial

2. Design thinking for mHealth application co-design to support heart failure self-management;Woods;Stud Health Technol Inform,2017

3. Card sort analysis best practices;Righi;J Usability Stud,2013

4. A mobile app-based intervention for depression: End-user and expert usability testing study;Fuller-Tyszkiewicz;J Med Internet Res,2018

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