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

Digital Health Reviews (1566) Cardiac Rehabilitation (101) Cardiac Self-Management (126) e-Cardiology and Telemonitoring in Cardiology (197)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18025, first published .
Barriers to and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review

Barriers to and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review

Barriers to and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review

Authors of this article:

Shreya Tadas1 Author Orcid Image ;   David Coyle1 Author Orcid Image
Article Authors Cited by (38) Tweetations (7) Metrics

Journals

  1. Rohela P, Olendzki B, McGonigal L, Villa A, Gardiner P. A Teaching Kitchen Medical Groups Visit with an eHealth Platform for Hypertension and Cardiac Risk Factors: A Qualitative Feasibility Study. The Journal of Alternative and Complementary Medicine 2021;27(11):974 View
  2. Tadas S, Pretorius C, Foster E, Gorely T, Leslie S, Coyle D. Transitions in Technology-Mediated Cardiac Rehabilitation and Self-management: Qualitative Study Using the Theoretical Domains Framework. JMIR Cardio 2021;5(2):e30428 View
  3. Reilly C, Bristowe K, Roach A, Chalder T, Maddocks M, Higginson I. “The whole of humanity has lungs, doesn't it? We are not all the same sort of people”: patient preferences and choices for an online, self-guided chronic breathlessness supportive intervention: SELF-BREATHE. ERJ Open Research 2022;8(3):00093-2022 View
  4. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  5. Taylor M, Thomas E, Vitangcol K, Marx W, Campbell K, Caffery L, Haydon H, Smith A, Kelly J. Digital health experiences reported in chronic disease management: An umbrella review of qualitative studies. Journal of Telemedicine and Telecare 2022;28(10):705 View
  6. Xie X, Chen Q, Liu H. Barriers to hospital-based phase 2 cardiac rehabilitation among patients with coronary heart disease in China: a mixed-methods study. BMC Nursing 2022;21(1) View
  7. Ghisi G, Aultman C, Konidis R, Sandison N, Oh P. Learning About Patient Satisfaction and Preferences for Onsite Visits During Cardiac Rehabilitation Programs. Journal of Cardiopulmonary Rehabilitation and Prevention 2023;43(3):220 View
  8. Reilly C, Bristowe K, Roach A, Maddocks M, Higginson I. “You can do it yourself and you can do it at your convenience”: internet accessibility and willingness of people with chronic breathlessness to use an internet-based breathlessness self-management intervention during the COVID-19 pandemic. ERJ Open Research 2022;8(1):00557-2021 View
  9. Lunde P, Bye A, Bruusgaard K, Hellem E, Nilsson B. Patients’ Experiences of Using a Smartphone App After Cardiac Rehabilitation: Qualitative Study. JMIR Human Factors 2022;9(1):e34294 View
  10. Vanzella L, Oh P, Pakosh M, Ghisi G. Barriers and facilitators to virtual education in cardiac rehabilitation: a systematic review of qualitative studies. European Journal of Cardiovascular Nursing 2022;21(5):414 View
  11. Vanzella L, Ghisi G, Colella T, Larkin J, Vanderlei L, Marzolini S, Thomas S, Oh P. Physical Activity Level and Perspectives of Participants Transitioning from Onsite to Virtual Cardiac Rehabilitation during the Early COVID-19 Pandemic: A Mixed-Method Study. Journal of Clinical Medicine 2022;11(16):4838 View
  12. Cruz-Martínez R, Wentzel J, Sanderman R, van Gemert-Pijnen J. Tailoring eHealth design to support the self-care needs of patients with cardiovascular diseases: a vignette survey experiment. Behaviour & Information Technology 2022;41(14):3065 View
  13. Cruz-Martínez R, Wentzel J, Bente B, Sanderman R, van Gemert-Pijnen J. Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis. JMIR Cardio 2021;5(2):e31985 View
  14. Herkert C, Graat-Verboom L, Gilsing-Fernhout J, Schols M, Kemps H. Home-Based Exercise Program for Patients With Combined Advanced Chronic Cardiac and Pulmonary Diseases: Exploratory Study. JMIR Formative Research 2021;5(11):e28634 View
  15. Winter P, Chico T. Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Identify Barriers and Facilitators for the Implementation of Digital Twins in Cardiovascular Medicine. Sensors 2023;23(14):6333 View
  16. Hamborg T, Tang L, Andersen R, Skou S, Simonÿ C. It is like someone holding your hand when you need it – lived experiences of patients with cardiovascular disease participating in a digital health intervention focusing on the maintenance of physical activity after cardiac rehabilitation. Disability and Rehabilitation: Assistive Technology 2024;19(4):1718 View
  17. Yang Z, Jia H, Wang A. Predictors of home-based cardiac rehabilitation exercise adherence among patients with chronic heart failure: a theory-driven cross-sectional study. BMC Nursing 2023;22(1) View
  18. Poliani A, Gnecchi S, Villa G, Rosa D, Manara D. Gamification as an Educational Approach for Oncological Patients: A Systematic Scoping Review. Healthcare 2023;11(24):3116 View
  19. Stark A, Krayter S, Dockweiler C. Competencies required by patients and health professionals regarding telerehabilitation: A scoping review. DIGITAL HEALTH 2023;9 View
  20. Watanabe T, Tohyama T, Ikeda M, Fujino T, Hashimoto T, Matsushima S, Kishimoto J, Todaka K, Kinugawa S, Tsutsui H, Ide T. Development of deep-learning models for real-time anaerobic threshold and peak VO2 prediction during cardiopulmonary exercise testing. European Journal of Preventive Cardiology 2024;31(4):448 View
  21. Gebremichael L, Beleigoli A, Foote J, Bulamu N, Ramos J, Clark R. Patient-reported experiences of cardiac rehabilitation services and the Country Heart Attack Prevention model of care. British Journal of Cardiac Nursing 2024;19(1):1 View
  22. Sten-Gahmberg S, Pedersen K, Harsheim I, Løyland H, Snilsberg Ø, Iversen T, Godager G, Sæther E, Abelsen B. Pragmatic randomized controlled trial comparing a complex telemedicine-based intervention with usual care in patients with chronic conditions. The European Journal of Health Economics 2024;25(7):1275 View
  23. Sten-Gahmberg S, Pedersen K, Harsheim I, Løyland H, Abelsen B. Experiences with telemedicine-based follow-up of chronic conditions: the views of patients and health personnel enrolled in a pragmatic randomized controlled trial. BMC Health Services Research 2024;24(1) View
  24. Hurley L, Nezami B, Sciamanna C, Tate D. Personal goal setting eHealth component associated with improved weight loss at 6 months: A mixed methods secondary analysis. DIGITAL HEALTH 2024;10 View
  25. Olsen S, Lim X, Alder G, Stavric V, Signal N. Factors influencing adoption and sustained use of rehabilitation technologies: a scoping review and qualitative analysis. Disability and Rehabilitation: Assistive Technology 2025;20(4):804 View
  26. Abdullayev K, Chico T, Canson J, Mantelow M, Buckley O, Condell J, Van Arkel R, Diaz-Zuccarini V, Matcham F. Exploring Stakeholder Perspectives on the Barriers and Facilitators of Implementing Digital Technologies for Heart Disease Diagnosis: Qualitative Study. JMIR Cardio 2025;9:e66464 View
  27. Șerban I, Fruytier L, Houben S, Colombo S, van de Sande D, Kemps H, Brombacher A. Design Requirements for Cardiac Telerehabilitation Technologies Supporting Athlete Values: Qualitative Interview Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e62986 View
  28. Carpallo‐Porcar B, Calvo S, Pérez‐Palomares S, Blázquez‐Pérez L, Brandín‐de la Cruz N, Jiménez‐Sánchez C. Perceptions and Experiences of a Multimodal Rehabilitation Program for People With Post‐Acute COVID‐19: A Qualitative Study. Health Expectations 2025;28(3) View
  29. Bayor A, Li J, Yang I, Varnfield M. Designing Clinical Decision Support Systems (CDSS): A User-Centred Lens of Design Characteristics, Challenges, and Implications—A Systematic Review (Preprint). Journal of Medical Internet Research 2024 View
  30. Gandomkar F, Pirzadeh N, Bahadori F, Zandieh Z, Abolfathi Momtaz Y, Mohammadi shahboulaghi F. Technology Adoption in Older Adults: A Systematic Review Using Grounded Theory (Preprint). JMIR Human Factors 2024 View

Books/Policy Documents

  1. Sillevis Smitt M, Montakhabi M, Morton J, van Leeuwen C, Bombeke K, Jacobs A. Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies. View
  2. Kondratova I, Fournier H. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View
  3. Kondratova I, Fournier H, Rajabiyazdi F. Human Aspects of IT for the Aged Population. View
  4. Fournier H, Etezad E, El-Mughayyar D, Fowler S, Brunt K. HCI International 2024 Posters. View
  5. Șerban I, Houben S, Colombo S, Brombacher A. Pervasive Computing Technologies for Healthcare. View

Conference Proceedings

  1. Tadas S, Dickson J, Coyle D. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Using Patient-Generated Data to Support Cardiac Rehabilitation and the Transition to Self-Care View
  2. Keys R, Marshall P, Stuart G, O'Kane A. Proceedings of the CHI Conference on Human Factors in Computing Systems. “I think it saved me. I think it saved my heart”: The Complex Journey From Self-Tracking With Wearables To Diagnosis View
  3. Keys R, Marshall P, Stuart G, O'Kane A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care View