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

Apps, Mobile, Wearables for Diabetes (306) Wearables and MHealth Reviews (276) Diabetes Self-Management (495) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377)

Published on in Vol 7, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28153, first published .
Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda

Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda

Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda

Authors of this article:

Hessah Alaslawi1 Author Orcid Image ;   Ilhem Berrou2 Author Orcid Image ;   Abdullah Al Hamid3 Author Orcid Image ;   Dari Alhuwail4 Author Orcid Image ;   Zoe Aslanpour1 Author Orcid Image
Article Authors Cited by (20) Tweetations (6) Metrics

Journals

  1. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users’ Acceptability and Acceptance. JMIR Diabetes 2023;8:e41076 View
  2. Fu H, Wyman J, Peden-McAlpine C, Draucker C, Schleyer T, Adam T. 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. JMIR Diabetes 2023;8:e38592 View
  3. Krall J, Childs B, Mehrotra N. Mobile Applications to Support Diabetes Self-Management Education: Patient Experiences and Provider Perspectives. Journal of Diabetes Science and Technology 2023;17(5):1206 View
  4. 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
  5. Norris K, Williams S, Nee R. Flattening the Playing Field for Treatment of Diabetic Kidney Disease. Seminars in Nephrology 2023;43(3):151428 View
  6. Montilva-Monsalve J, Dimantas B, Perski O, Gutman L. Barriers and Enablers to the Adoption of a Healthier Diet Using an App: Qualitative Interview Study With Patients With Type 2 Diabetes Mellitus. JMIR Diabetes 2023;8:e49097 View
  7. Kime N, Zwolinsky S, Pringle A. Evaluation of the DigiBete App, a Self-Management App for Type 1 Diabetes: Experiences of Young People, Families, and Healthcare Professionals. Children 2023;10(12):1933 View
  8. Ürekli V, Tural E, Dayan A. Examining risk factors for diabetic foot: assessing diabetes self-management in type 2 diabetes patients. International Journal of Diabetes in Developing Countries 2024 View
  9. Catapan S, Vasconcelos Silva C, Bird D, Janda M, Gray L, Maunder L, Clemensen J, Menon A, Russell A. Working Together to Improve Type 2 Diabetes Care: A Participatory Design Project to Address Identified Needs of People With Diabetes and Their Health-care Professionals. Canadian Journal of Diabetes 2024;48(4):250 View
  10. Carrera A, Lettieri E, Lietti G, Martignoni S, Sgarbossa C, Cafazzo J, Han J. Therapies go digital. What drives physicians’ acceptance?. PLOS ONE 2024;19(5):e0303302 View
  11. Lopes R, Chagas S, Gomes E, Barbosa J, Silva Í, Brandão M. Benchmarking mobile applications for the health of people with Diabetes Mellitus. Revista Latino-Americana de Enfermagem 2024;32 View
  12. Lopes R, Chagas S, Gomes E, Barbosa J, Silva Í, Brandão M. Benchmarking de aplicativos móviles dirigidos a la salud de personas con Diabetes Mellitus. Revista Latino-Americana de Enfermagem 2024;32 View
  13. Piette J, Lee K, Bosworth H, Isaacs D, Cerrada C, Kainkaryam R, Liska J, Lee F, Kennedy A, Kerr D. Behavioral Engagement and Activation Model Study (BEAMS): A latent class analysis of adopters and non-adopters of digital health technologies among people with Type 2 diabetes. Translational Behavioral Medicine 2024;14(8):491 View
  14. Lopes R, Chagas S, Gomes E, Barbosa J, Silva Í, Brandão M. Benchmarking de aplicativos móveis voltados à saúde de pessoas com Diabetes Mellitus. Revista Latino-Americana de Enfermagem 2024;32 View
  15. Fiska V, Papanikolaou E, Patila M, Prodromidis M, Trachioti M, Tzianni E, Spyrou K, Angelidis P, Tsipouras M. DEMIGOD: A Low-Cost Microcontroller-Based Closed-Loop System Integrating Nanoengineered Sweat-Based Glucose Monitoring and Controlled Transdermal Nanoemulsion Release of Hypoglycemic Treatment with a Software Application for Noninvasive Personalized Diabetes Care. Micromachines 2024;15(7):887 View
  16. Kaplan A, Babineau A, Hauptman R, Levitz S, Lin P, Yang M. Breaking down barriers to COPD management in primary care: applying the updated 2023 Canadian Thoracic Society guideline for pharmacotherapy. Frontiers in Medicine 2024;11 View
  17. van Leersum C, Konrad K, Bults M, den Ouden M. Living with my diabetes – introducing eHealth into daily practices of patients with type 2 diabetes mellitus. DIGITAL HEALTH 2024;10 View
  18. LeSeure P, Chin E, Zhang S. A Culturally Sensitive Mobile App (DiaFriend) to Improve Self-Care in Patients With Type 2 Diabetes: Development Study. JMIR Diabetes 2024;9:e63393 View
  19. Bober T, Rollman B, Handler S, Watson A, Nelson L, Faieta J, Rosland A. Digital Health Readiness: Making Digital Health Care More Inclusive. JMIR mHealth and uHealth 2024;12:e58035 View
  20. Sulfikar A, Rajab M. Evaluation of the feasibility of digital health applications based on best practice guidelines for diabetes management: A scoping review. Informatics in Medicine Unlocked 2024;51:101601 View