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

Web-based and Mobile Health Interventions (3281) Registered Report (557) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1392) Digital Health, Telehealth and e-Innovation in Clinical Settings (395) Usability of Apps and User Perceptions of mHealth (969) Mobile Health (mhealth) (2925) mHealth for Treatment Adherence (397) Usability and Technology Use Studies with Elder Subjects (173) Adoption and Change Management of eHealth Systems (708) Nurses Supporting Self-Management of Chronic Diseases (14) Chronic Conditions (267)

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

Authors of this article:

Julie Doyle1 Author Orcid Image ;   Emma Murphy2, 3 Author Orcid Image ;   Shane Gavin1 Author Orcid Image ;   Alessandra Pascale4 Author Orcid Image ;   Stéphane Deparis4 Author Orcid Image ;   Pierpaolo Tommasi4 Author Orcid Image ;   Suzanne Smith1 Author Orcid Image ;   Caoimhe Hannigan2, 5 Author Orcid Image ;   Myriam Sillevis Smitt6 Author Orcid Image ;   Cora van Leeuwen6 Author Orcid Image ;   Julia Lastra7 Author Orcid Image ;   Mary Galvin2 Author Orcid Image ;   Patricia McAleer1 Author Orcid Image ;   Lorraine Tompkins2 Author Orcid Image ;   An Jacobs6 Author Orcid Image ;   Marta M Marques2, 8 Author Orcid Image ;   Jaime Medina Maestro7 Author Orcid Image ;   Gordon Boyle1 Author Orcid Image ;   John Dinsmore2 Author Orcid Image
Article Authors Cited by (34) Tweetations (33) Metrics

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
  20. O’Brien H, Chen A, Kaneshiro J, Zaslavsky O. User Engagement in an Online Digital Health Intervention to Promote Problem Solving. Interacting with Computers 2024;36(5):355 View
  21. Gulzar M, Ali A, Naqvi B, Smolander K. Revealing the State of the Art in Managing IT Infrastructure Within Enterprises: A Systematic Mapping Study. IEEE Access 2024;12:108533 View
  22. Gavin J, Clarkson P, Muckelt P, Eckford R, Sadler E, McDonough S, Barker M, Fuller S. Healthcare professional and commissioners’ perspectives on the factors facilitating and hindering the implementation of digital tools for self-management of long-term conditions within UK healthcare pathways. PLOS ONE 2024;19(8):e0307493 View
  23. Bertolazzi A, Marzęda-Młynarska K, Kięczkowska J, Zanier M. Datafication of Care: Security and Privacy Issues with Health Technology for People with Diabetes. Societies 2024;14(9):163 View
  24. Copland R, Hanke S, Rogers A, Mpaltadoros L, Lazarou I, Zeltsi A, Nikolopoulos S, MacDonald T, Mackenzie I. The Digital Platform and Its Emerging Role in Decentralized Clinical Trials. Journal of Medical Internet Research 2024;26:e47882 View
  25. Kawaguchi K, Nakagomi A, Ide K, Kondo K. Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e64196 View
  26. Li X, Ma D, Feng Z, Gao M, Dong P, Shi Y, Li Z, Li R, Yin W, Chen Z. Preferences of patients with multiple chronic diseases for medication in rural areas of an Eastern Province China: a discrete choice experiment. Frontiers in Medicine 2024;11 View
  27. Gallagher J, Antunes B, Sutton J, Kuhn I, Kelly M, Duschinsky R, Barclay S. Self-care towards the end of life: A systematic review and narrative synthesis on access, quality and cost. Palliative Medicine 2024 View
  28. Chengyu Z, Xueyan H, Ying F. Research on disease management of chronic disease patients based on digital therapeutics: A scoping review. DIGITAL HEALTH 2024;10 View
  29. Woodhouse M, Cowdell F, Roddis J, Devrell A, Oakley K, Dyson J. Theoretically informed codesign of a tailored intervention to support pressure ulcer prevention behaviours by older people living in their own homes in the UK and their lay carers: an intervention codesign study (C-PrUP). BMJ Open 2024;14(11):e083495 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
  5. Siopis N, Lalas A, Votis K, Tzovaras D, Angelidis P. Advances in Digital Health and Medical Bioengineering. View