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

Apps, Mobile, Wearables for Diabetes (359) Diabetes Self-Management (579) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1712) Design and Formative Evaluation of Mobile Apps (805)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38592, first published .
App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy

App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy

App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy

Authors of this article:

Helen N C Fu1, 2 Author Orcid Image ;   Jean F Wyman3 Author Orcid Image ;   Cynthia J Peden-McAlpine3 Author Orcid Image ;   Claire Burke Draucker4 Author Orcid Image ;   Titus Schleyer1, 5 Author Orcid Image ;   Terrence J Adam6, 7 Author Orcid Image
Article Authors Cited by (11) Tweetations (46) Metrics

Journals

  1. Abdulhussein F, Pinkney S, Görges M, van Rooij T, Amed S. Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers. JMIR Pediatrics and Parenting 2023;6:e46432 View
  2. Bannigan G, McGrath D, Matthews J, Duignan C. Facilitated Collaborative Group Co-Design of Hypothetical Digital Tools to Understand University Students’ Well-being Support Needs and Requirements. SN Computer Science 2024;5(6) View
  3. Kerr D, Ahn D, Waki K, Wang J, Breznen B, Klonoff D. Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e55757 View
  4. Kurnia A, Said F, Paduragan S. User-Centered Usability Evaluation of the DiaCare App for Diabetes Self-Management: A uMARS Analysis. Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 ) 2024;7(2):171 View
  5. Gardner D, Saboo B, Kesavadev J, Mustafa N, Villa M, Mahoney E, Bajpai S. Digital Health Technology in Diabetes Management in the Asia–Pacific Region: A Narrative Review of the Current Scenario and Future Outlook. Diabetes Therapy 2025 View
  6. Bober T, Garvin S, Krall J, Zupa M, Low C, Rosland A. Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study. JMIR Diabetes 2025;10:e64505 View
  7. Giovanazzi A, Gios L, Gentilini M, Mastellaro M, Bartolotta P, Nicolussi Giacomaz L, Eccher C, Inchiostro S. Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the ‘TreC Diabete’ platform (TELEMECHRON Study). Frontiers in Clinical Diabetes and Healthcare 2025;6 View
  8. Sheen F, Porter L, Papakonstantinou T, Ceka M, Bondaronek P. Living well? The unintended consequences of highly popular commercial fitness apps through social listening using Machine‐Assisted Topic Analysis: Evidence from X. British Journal of Health Psychology 2025;30(4) View

Books/Policy Documents

  1. Meng J. Human Aspects of IT for the Aged Population. View
  2. Kashefi A, Bosschaerts K, Murphy S, Van Hoecke S, Vanden Abeele M, De Marez L, Ongenae F, Conradie P. Human-Centered Design, Operation and Evaluation of Mobile Communications. View

Conference Proceedings

  1. Arueyingho O, O'Kane A, Marshall P, Aprioku J, Nkwo M, Shivam R. Proceedings of the Fifth Biennial African Human-Computer Interaction Conference. Designing Okuma: A Digital Health Tool for Type 2 Diabetes in Nigeria View