This paper is in the following e-collection/theme issue:

Human Factors and Usability Case Studies (1005) Registered Report (791) User-Centered Design Case Studies (713) Focus Groups and Qualitative Research for Human Factors Research (1220) Stroke (243) Adoption and Change Management of eHealth Systems (894) Web-based and Mobile Health Interventions (4018)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42556, first published .
Patients’ Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study

Patients’ Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study

Patients’ Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study

Authors of this article:

Esmee L S Bally1 Author Orcid Image ;   Demi Cheng1 Author Orcid Image ;   Amy van Grieken1 Author Orcid Image ;   Mireia Ferri Sanz2 Author Orcid Image ;   Oscar Zanutto3 Author Orcid Image ;   Aine Carroll4, 5 Author Orcid Image ;   Andrew Darley4 Author Orcid Image ;   Bob Roozenbeek6 Author Orcid Image ;   Diederik W J Dippel6 Author Orcid Image ;   Hein Raat1 Author Orcid Image
Article Authors Cited by (27) Tweetations (6) Metrics

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  7. Clancy B, Bonevski B, English C, Guillaumier A. The Online Health Information–Seeking Behaviors of People Who Have Experienced Stroke: Qualitative Interview Study. JMIR Formative Research 2024;8:e54827 View
  8. Silva G, Andrade J. Digital health in stroke: a narrative review. Arquivos de Neuro-Psiquiatria 2024;82(08):001 View
  9. Mao Y, Bally E, Vasiljev V, Zanutto O, Cheng D, van Grieken A, Raat H. Incorporating Information and Communication Technologies (ICTs) to Improve Health and Social Care for Aging Communities: Communication Insights from the ValueCare Project. Communication Studies 2024;75(6):753 View
  10. Kaklamanou D, Nguyen L, Al-Abbadey M, Sangala N, Lewis R, Ayatollahi H. Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration. PLOS Digital Health 2024;3(10):e0000614 View
  11. Allaart C, van Houwelingen S, Hilkens P, van Halteren A, Biesma D, Dijksman L, van der Nat P. The Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study. JMIR Human Factors 2025;12:e56521 View
  12. Mimoso I, Figueiredo T, Midão L, Carrilho J, Henriques D, Alves S, Duarte N, Bessa M, Facal D, Felpete A, Fidalgo J, Costa E. Co-Creation in the Development of Digital Therapeutics: A Narrative Review. International Journal of Environmental Research and Public Health 2024;21(12):1589 View
  13. Härkönen H, Myllykangas K, Kärppä M, Rasmus K, Gomes J, Immonen M, Hyvämäki P, Jansson M. Perspectives of Clients and Health Care Professionals on the Opportunities for Digital Health Interventions in Cerebrovascular Disease Care: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e52715 View
  14. Bečvářová R, Gurková E. Supporting self-management in adults after stroke - synthesis of qualitative studies. Central European Journal of Nursing and Midwifery 2024;15(4):2069 View
  15. Fu V, Thompson S, Kayes N, Bright F. Supporting Long-Term Meaningful Outcomes in Stroke Rehabilitation. Current Neurology and Neuroscience Reports 2025;25(1) View
  16. van Grootel J, Collet R, van Dongen J, van der Leeden M, Geleijn E, Ostelo R, van der Schaaf M, Major M, Wiertsema S. Continuity and Coordination of Care During Hospital‐To‐Home Transitions: Healthcare Professionals' Perspectives. Journal of Clinical Nursing 2025 View
  17. Ma G, Miao C, Jiang P, He G, Li H, Huang Y, Yu H, Chen T. Effect of AI-based pre-hospital health education via QR code on APAIS scores in patients with breast nodules: A retrospective study. The Breast 2025;82:104481 View
  18. Hestetun-Mandrup A, Hamre C, Lund A, Martinsen A, He H, Pikkarainen M. Exploring people with stroke’s perceptions of digital technologies in post-stroke rehabilitation – a qualitative study. Disability and Rehabilitation 2025:1 View
  19. Rafiei S, Heidarpoor P, Souri S, Nejatifar Z, Amerzadeh M. The preferences of breast cancer patients regarding a digital social care platform. BMC Women's Health 2025;25(1) View
  20. Purvis T, Burns C, Barker S, Kilkenny M, Gall S, Farmer C, Sudhakar V, Cadilhac D, Booth B, Bray J, Cameron J, Dalli L, Ho S, Horton E, Kleinig T, Murphy L, Nelson M, Olaiya M, Thrift A, Freak‐Poli R. Co‐Designing a Digital Stroke Prevention Platform: Leveraging Lived Experience and Expert Advice. Health Expectations 2025;28(3) View
  21. Schneider D, Liedtke W, Klausen A, Lipprandt M, Funer F, Bratan T, Heyen N, Aichinger H, Langanke M. Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS. DIGITAL HEALTH 2025;11 View
  22. MohammadNamdar M, Lowery Wilson M, Murtonen K, Aartolahti E, Oduor M, Korniloff K. How AI-Based Digital Rehabilitation Improves End-User Adherence: Rapid Review. JMIR Rehabilitation and Assistive Technologies 2025;12:e69763 View
  23. Bao H, Siva Subramanian S, Pai S, Singh N, Tan K, Pham T, Pan F, Theng Y, Lee E. Design and Evaluation of a Digital Health App (SingaporeWALK) for Active Ageing: Intervention Study (Preprint). JMIR Formative Research 2024 View
  24. Kersalé M, Hong Q, Richard T, Kandalaft Cabrol C, Guevel A, Fily E, Tisserand G, Brochard S, Pomey M, Pons C. Perspectives From Multidisciplinary Professionals in France on Shared Patient Portals for Integrated Pediatric Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e73068 View
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Conference Proceedings

  1. Mohd Dhuzuki N, Zainuddin A, Kamarudin S, Handayani D, Subramaniam K, Tamrin M. 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). Web-Based Medical Information System for Stroke Rehabilitation Intemet-of-Things (RIOT) Patients: A Prototype View