ArticleJMIR research protocols2017
Development of a Web-Based Health Care Intervention for Patients With Heart Disease: Lessons Learned From a Participatory Design Study.
Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- Development of a Data-Enabled Mixed Method for Designing for Patients From a Human-Centered Design Perspective: Explorative Case Study.JMIR human factors · 2026Article
- Usability and User Experience of a Digital Platform Prototype (Healthy Bone) to Promote Pharmacological and Nonpharmacological Treatment in Patients With Osteoporosis: Mixed Methods Study.JMIR formative research · 2025Article
- Needs and Expectations Associated With an e-Mental Health Intervention for Reducing Somatoform, Anxiety, and Depressive Symptoms in Sexual and Gender Minority Adults: Qualitative Participative Study.JMIR formative research · 2025Article
- Designing and Evaluating a Prototype of a Trilingual Data Collection Tool for the Middle East and North Africa (MENA) Region to Collect Data About Violence Against Sex Workers: Multiple Methods Approach in User-Centered Design.JMIR formative research · 2025Article
- Determining the Requirements of Vulnerable Groups for Health Counseling and Optimizing the Evaluation of Health Consultations: Mixed Methods Study With the Use of AI.JMIR formative research · 2025Article
- User-Centered Design for Designing and Evaluating a Prototype of a Data Collection Tool to Submit Information About Incidents of Violence Against Sex Workers: Multiple Methods Approach.JMIR human factors · 2024Article
- A web-based intervention for patients with an implantable cardioverter defibrillator - A qualitative study of nurses' experiences (Data from the ACQUIRE-ICD study).PEC innovation · 2023Article
- Nurses' Roles in mHealth App Development: Scoping Review.JMIR nursing · 2023Article
- Evaluation of an Electronic Care and Rehabilitation Planning Tool With Stroke Survivors With Aphasia: Usability Study.JMIR human factors · 2023Article
- The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them.Journal of medical Internet research · 2022Article
- Participatory development of CURA, a clinical ethics support instrument for palliative care.BMC medical ethics · 2022Article
- Boundary Objects as Dialogical Learning Accelerators for Social Change in Design for Health: Systematic Review.JMIR human factors · 2022Review
- Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study.JMIR mHealth and uHealth · 2020Article
- Leveraging User Experience to Improve Video Consultations in a Cardiology Practice During the COVID-19 Pandemic: Initial Insights.Journal of medical Internet research · 2020Article
- Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study.JMIR mHealth and uHealth · 2020Article
- A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study.JMIR formative research · 2020Article
- Co-Designing an eHealth Service for the Co-Care of Parkinson Disease: Explorative Study of Values and Challenges.JMIR research protocols · 2018Article
- Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach.International journal of environmental research and public health · 2018Article
- Help at hand: Women's experiences of using a mobile health application upon diagnosis of asymptomatic osteoporosis.SAGE open medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of telemedicine technologies in health care has increased substantially, together with a growing interest in participatory design methods when developing telemedicine approaches.
objectiveWe present lessons learned from a case study involving patients with heart disease and health care professionals in the development of a personalized Web-based health care intervention.
methodsWe used a participatory design approach inspired by the method for feasibility studies in software development. We collected qualitative data using multiple methods in 3 workshops and analyzed the data using thematic analysis. Participants were 7 patients with diagnosis of heart disease, 2 nurses, 1 physician, 2 systems architects, 3 moderators, and 3 observers.
resultsWe present findings in 2 parts. (1) Outcomes of the participatory design process: users gave valuable feedback on ease of use of the platforms' tracking tools, platform design, terminology, and insights into patients' monitoring needs, information and communication technologies skills, and preferences for self-management tools. (2) Experiences from the participatory design process: patients and health care professionals contributed different perspectives, with the patients using an experience-based approach and the health care professionals using a more attitude-based approach.
conclusionsThe essential lessons learned concern planning and organization of workshops, including the finding that patients engaged actively and willingly in a participatory design process, whereas it was more challenging to include and engage health care professionals.
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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.