ArticleJMIR mHealth and uHealth2018
Development of a Mobile Clinical Prediction Tool to Estimate Future Depression Severity and Guide Treatment in Primary Care: User-Centered Design.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Matching depression management to severity prognosis in primary care: results of the Target-D randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021Trial
- Developing the Link-me+EMPHN Mental Health Model of Care to Improve General Practitioner Capacity for Mental Health Care in Australian Primary Care: Protocol for a Mixed Methods Formative Study.JMIR research protocols · 2026Article
- Article
- Development of a Cocreated Decision Aid for Patients With Depression-Combining Data-Driven Prediction With Patients' and Clinicians' Needs and Perspectives: Mixed Methods Study.Journal of participatory medicine · 2025Article
- The engagement problem: A review of engagement with digital mental health interventions and recommendations for a path forward.Current treatment options in psychiatry · 2023Article
- myBeST-A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study.International journal of environmental research and public health · 2023Article
- Digital intervention for public health: searching for implementing characteristics, concepts and recommendations: scoping review.Frontiers in public health · 2023Article
- Series: Practical guidance to qualitative research. Part 5: Co-creative qualitative approaches for emerging themes in primary care research: Experience-based co-design, user-centred design and community-based participatory research.The European journal of general practice · 2022Article
- The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them.Journal of medical Internet research · 2022Article
- Real-World Implementation of Precision Psychiatry: A Systematic Review of Barriers and Facilitators.Brain sciences · 2022Review
- Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.Clinical pharmacology and therapeutics · 2022Review
- Methods for Human-Centered eHealth Development: Narrative Scoping Review.Journal of medical Internet research · 2022Article
- Group-tailored feedback on online mental health screening for university students: using cluster analysis.BMC primary care · 2022Observational
- Development of a Credible Virtual Clinician Promoting Colorectal Cancer Screening via Telehealth Apps for and by Black Men: Qualitative Study.JMIR formative research · 2021Article
- The Application of Human-Centered Design Approaches in Health Research and Innovation: A Narrative Review of Current Practices.JMIR mHealth and uHealth · 2021Review
- A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case.JMIR mHealth and uHealth · 2021Article
- Moving from "let's fix them" to "actually listen": the development of a primary care intervention for mental-physical multimorbidity.BMC health services research · 2021Article
- Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment.JMIR mHealth and uHealth · 2020Article
- A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic.Journal of medical Internet research · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAround the world, depression is both under- and overtreated. The diamond clinical prediction tool was developed to assist with appropriate treatment allocation by estimating the 3-month prognosis among people with current depressive symptoms. Delivering clinical prediction tools in a way that will enhance their uptake in routine clinical practice remains challenging; however, mobile apps show promise in this respect. To increase the likelihood that an app-delivered clinical prediction tool can be successfully incorporated into clinical practice, it is important to involve end users in the app design process.
objectiveThe aim of the study was to maximize patient engagement in an app designed to improve treatment allocation for depression.
methodsAn iterative, user-centered design process was employed. Qualitative data were collected via 2 focus groups with a community sample (n=17) and 7 semistructured interviews with people with depressive symptoms. The results of the focus groups and interviews were used by the computer engineering team to modify subsequent protoypes of the app.
resultsIterative development resulted in 3 prototypes and a final app. The areas requiring the most substantial changes following end-user input were related to the iconography used and the way that feedback was provided. In particular, communicating risk of future depressive symptoms proved difficult; these messages were consistently misinterpreted and negatively viewed and were ultimately removed. All participants felt positively about seeing their results summarized after completion of the clinical prediction tool, but there was a need for a personalized treatment recommendation made in conjunction with a consultation with a health professional.
conclusionsUser-centered design led to valuable improvements in the content and design of an app designed to improve allocation of and engagement in depression treatment. Iterative design allowed us to develop a tool that allows users to feel hope, engage in self-reflection, and motivate them to treatment. The tool is currently being evaluated in a randomized controlled trial.
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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.