ArticleJMIR mental health2018
A Mobile App-Based Intervention for Depression: End-User and Expert Usability Testing Study.
Article in JMIR mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 106 citations in OpenAlex.
- Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.BMC medical informatics and decision making · 2023Pooled it
- A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities.International journal of environmental research and public health · 2022Pooled it
- System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Usability Evaluations of Mobile Mental Health Technologies: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study.JMIR formative research · 2025Article
- Article
- The INTERconNEcT-EDs app-based self-help program for people with eating disorders: a usability and qualitative study.Frontiers in digital health · 2025Article
- Feasibility of a Web-Based and Mobile-Supported Follow-Up Treatment Pathway for Adult Patients With Orthopedic Trauma in the Netherlands: Concurrent Mixed Methods Study.JMIR formative research · 2024Article
- Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study.Journal of medical Internet research · 2024Article
- Evaluating the Usability of an mHealth App for Empowering Cancer Survivors With Disabilities: Heuristic Evaluation and Usability Testing.JMIR human factors · 2024Article
- Digital Anti-Aging Healthcare: An Overview of the Applications of Digital Technologies in Diet Management.Journal of personalized medicine · 2024Review
- Understanding the perspectives and needs of multiple stakeholders: Identifying key elements of a digital health intervention to protect against environmental hazards.PLOS digital health · 2024Article
- A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment.JMIR formative research · 2023Article
- User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study.JMIR human factors · 2023Article
- Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms.Frontiers in digital health · 2023Review
- A qualitative exploration of university student perspectives on mindfulness-based stress reduction exercises via smartphone app in Bangladesh.International journal of qualitative studies on health and well-being · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite 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.
objectiveThe aim of this study was to conduct a usability evaluation of a personalized, self-guided, app-based intervention for depression.
methodsParticipants 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.
resultsThe 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.
conclusionsEncouraging 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.