ArticleJMIR mHealth and uHealth2017
Designing a Self-Management App for Young People With Type 1 Diabetes: Methodological Challenges, Experiences, and Recommendations.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.
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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.
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Who cites it
41 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Evaluating co-design approaches with parents in paediatric healthcare: a systematic review.BMC health services research · 2025Pooled it
- The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Evaluating health service outcomes of public involvement in health service design in high-income countries: a systematic review.BMC health services research · 2021Pooled it
- Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- Mobile and Web-Based Apps That Support Self-Management and Transition in Young People With Chronic Illness: Systematic Review.Journal of medical Internet research · 2019Pooled it
- T1D REACHOUT-A Mobile App to Deliver Peer-Led Mental Health Support to Adults Living With Type 1 Diabetes: Co-Design and Development Process.JMIR diabetes · 2026Article
- A Multidisciplinary Approach of Type 1 Diabetes: The Intersection of Technology, Immunotherapy, and Personalized Medicine.Journal of clinical medicine · 2025Review
- Conducting Patient-Oriented Research in Pediatric Populations: A Narrative Review.Children (Basel, Switzerland) · 2024Review
- Categorization of mHealth Coaching Technologies for Children or Adolescents With Type 1 Diabetes: Systematic Review.JMIR pediatrics and parenting · 2024Review
- Design and usability evaluation of a mobile application for self-care among Iranian adolescents.BMC public health · 2024Article
- Improving Adherence of Young Male Patients with HBV Infection to the Regular Follow-Up via Mobile Healthcare Platform Might Be Cost-Effective to Decrease the Morbidity of Advanced Liver Cancer.Patient preference and adherence · 2024Article
- Development of Quality of Life in Adolescents and Young Adults With Cancer Using a Patient Support Smartphone App: Prepost Interventional Study.JMIR cancer · 2023Article
- Roles, outcomes, and enablers within research partnerships: A rapid review of the literature on patient and public involvement and engagement in health research.Research involvement and engagement · 2023Review
- Developing the "Healthcare CEO App" for patients with type 1 diabetes transitioning from adolescence to young adulthood: A mixed-methods study.Nursing open · 2023Article
- Using Health Forum Data to Assess User Needs for mHealth App Development: A Feasibility Study on Alzheimer's Disease.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Article
- Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females.International journal of environmental research and public health · 2022Article
- Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review.JMIR diabetes · 2022Review
- Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review.Journal of medical Internet research · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundYoung people with type 1 diabetes often struggle to self-manage their disease. Mobile health (mHealth) apps show promise in supporting self-management of chronic conditions such as type 1 diabetes. Many health care providers become involved in app development. Unfortunately, limited information is available to guide their selection of appropriate methods, techniques, and tools for a participatory design (PD) project in health care.
objectiveThe aim of our study was to develop an mHealth app to support young people in self-managing type 1 diabetes. This paper presents our methodological recommendations based on experiences and reflections from a 2-year research study.
methodsA mixed methods design was used to identify user needs before designing the app and testing it in a randomized controlled trial. App design was based on qualitative, explorative, interventional, and experimental activities within an overall iterative PD approach. Several techniques and tools were used, including workshops, a mail panel, think-aloud tests, and a feasibility study.
resultsThe final mHealth solution was "Young with Diabetes" (YWD). The iterative PD approach supported researchers and designers in understanding the needs of end users (ie, young people, parents, and health care providers) and their assessment of YWD, as well as how to improve app usability and feasibility. It is critical to include all end user groups during all phases of a PD project and to establish a multidisciplinary team to provide the wide range of expertise required to build a usable and useful mHealth app.
conclusionsFuture research is needed to develop and evaluate more efficient PD techniques. Health care providers need guidance on what tools and techniques to choose for which subgroups of users and guidance on how to introduce an app to colleagues to successfully implement an mHealth app in health care organizations. These steps are important for anyone who wants to design an mHealth app for any illness.
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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.