Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22672, first published .
A Digital Platform to Support Self-management of Multiple Chronic Conditions (ProACT): Findings in Relation to Engagement During a One-Year Proof-of-Concept Trial

A Digital Platform to Support Self-management of Multiple Chronic Conditions (ProACT): Findings in Relation to Engagement During a One-Year Proof-of-Concept Trial

A Digital Platform to Support Self-management of Multiple Chronic Conditions (ProACT): Findings in Relation to Engagement During a One-Year Proof-of-Concept Trial

Journals

  1. Gong F, Lei Z, Min H, Yu Y, Huang Z, Liu J, Wu W, Tang J, Sun X, Wu Y. Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model. Frontiers in Psychology 2022;13 View
  2. Fukuda H, Murata F, Azuma S, Fujimoto M, Kudo S, Kobayashi Y, Saho K, Nakahara K, Ono R, Dür M. Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study. PLOS ONE 2023;18(2):e0281512 View
  3. Giggins O, Doyle J, Smith S, Moran O, Gavin S, Sojan N, Boyle G. Delivering Cardiac Rehabilitation Exercise Virtually Using a Digital Health Platform (ECME-CR): Protocol for a Pilot Trial. JMIR Research Protocols 2021;10(10):e31855 View
  4. Moran O, Doyle J, Giggins O, McHugh L, Gould E, Smith S, Gavin S, Sojan N, Boyle G. Efficacy of a Digital Acceptance and Commitment Therapy Intervention for the Improvement of Self-management Behaviors and Psychological Flexibility in Adults With Cardiac Disease: Protocol for a Single Case Experimental Design. JMIR Research Protocols 2022;11(4):e33783 View
  5. Sheng Y, Doyle J, Bond R, Jaiswal R, Gavin S, Dinsmore J. Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial. DIGITAL HEALTH 2022;8:205520762211259 View
  6. Doyle J, McAleer P, van Leeuwen C, Smith S, Murphy E, Sillevis Smitt M, Galvin M, Jacobs A, Tompkins L, Sheerin J, Dinsmore J. The role of phone-based triage nurses in supporting older adults with multimorbidity to digitally self-manage – Findings from the ProACT proof-of-concept study. DIGITAL HEALTH 2022;8:205520762211311 View
  7. Kallas D, Sandhu N, Gandilo C, Schleicher M, Banks L, Jabara M, Alberto Cerqueira Batista Filho L, Colella T, Connelly K, Randhawa V. Use of Digital Health Technology in Heart Failure and Diabetes: a Scoping Review. Journal of Cardiovascular Translational Research 2023;16(3):526 View
  8. Schroeder T, Dodds L, Georgiou A, Gewald H, Siette J. Older Adults and New Technology: Mapping Review of the Factors Associated With Older Adults’ Intention to Adopt Digital Technologies. JMIR Aging 2023;6:e44564 View
  9. Marashi-Hosseini L, Jafarirad S, Hadianfard A. A fuzzy based dietary clinical decision support system for patients with multiple chronic conditions (MCCs). Scientific Reports 2023;13(1) View
  10. Sui M, Cheng M, Zhang S, Wang Y, Yan Q, Yang Q, Wu F, Xue L, Shi Y, Fu C. The digitized chronic disease management model: scalable strategies for implementing standardized healthcare and big data analytics in Shanghai. Frontiers in Big Data 2023;6 View
  11. Gauthier-Beaupré A, Battistini B, Kuziemsky C, Jutai J. Policymaker perspectives on self-management of disease and disabilities using information and communication technologies. Health Research Policy and Systems 2023;21(1) View
  12. Smith J, Pearson K, Roberson A. Interface of Clinical Nurse Specialist Practice and Healthcare Technology. Clinical Nurse Specialist 2023;37(4):169 View
  13. Takano E, Maruyama H, Takahashi T, Mori K, Nishiyori K, Morita Y, Fukuda T, Kondo I, Ishibashi Y. User Experience of Older People While Using Digital Health Technologies: A Systematic Review. Applied Sciences 2023;13(23):12815 View
  14. Sheng Y, Bond R, Jaiswal R, Dinsmore J, Doyle J. Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial. Journal of Medical Internet Research 2024;26:e46287 View
  15. Bertolazzi A, Quaglia V, Bongelli R. Barriers and facilitators to health technology adoption by older adults with chronic diseases: an integrative systematic review. BMC Public Health 2024;24(1) View
  16. Fundoiano-Hershcovitz ‪, Ritholz M, Horwitz D, Behar E, Manejwala O, Goldstein P. The Impact of Digital Self-Monitoring of Weight on Improving Diabetes Clinical Outcomes: Quasi-Randomized Study. Journal of Medical Internet Research 2024;26:e54940 View
  17. Moody L, Wood E, Needham A, Booth A, Tindale W. Exploring how the design and provision of digital self-management technology can improve the uptake by older adults with chronic kidney disease, diabetes and dementia: A modified e-Delphi study. DIGITAL HEALTH 2024;10 View
  18. Giggins O, Cullen-Smith S, Kenny E, Doyle J. Integrating the quantitative with the qualitative: findings from a mixed methods cardiac rehabilitation exercise trial. Heart Rhythm O2 2024;5(7):443 View
  19. Sussex J, Smith J, Wu F. Service innovations for people with multiple long-term conditions: reflections of a rapid evaluation team. Health and Social Care Delivery Research 2024:1 View

Books/Policy Documents

  1. Polak S, van Leeuwen C, Sillevis Smitt M, Doyle J, Cullen-Smith S, Jacobs A. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. View
  2. Doyle J, McAleer P, Murphy E, Smith S, Galvin M, Dinsmore J. Human Aspects of IT for the Aged Population. View
  3. McAleer P, Doyle J, Dinsmore J. Pervasive Computing Technologies for Healthcare. View
  4. Tighe S, Doyle J, Harvey S. Pervasive Computing Technologies for Healthcare. View