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

Mobile Health (mhealth) (2777) Diabetes Self-Management (464) User-centred Design Case Studies (564) Design and Formative Evaluation of Mobile Apps (664) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Usability of Apps and User Perceptions of mHealth (902) Apps, Mobile, Wearables for Diabetes (288) Human Factors and Usability Case Studies (748)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18167, first published .
Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation

Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation

Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation

Authors of this article:

Raheleh Salari1 Author Orcid Image ;   Sharareh R Niakan Kalhori1 Author Orcid Image ;   Marjan GhaziSaeedi1 Author Orcid Image ;   Marjan Jeddi2 Author Orcid Image ;   Mahin Nazari3 Author Orcid Image ;   Farhad Fatehi4, 5 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

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  4. Park G, Lee H, Khang A. The Development of Automated Personalized Self-Care (APSC) Program for Patients with Type 2 Diabetes Mellitus. Journal of Korean Academy of Nursing 2022;52(5):535 View
  5. Jiménez S, Juárez-Ramírez R, Ramírez-Noriega A, Murillo-Muñoz F, Molina A, Castillo V, Navarro-Cota C. A Usability and Persuasion Evaluation of Mobile Apps for Diabetes Type 2. Programming and Computer Software 2022;48(8):552 View
  6. Heald A, Gimeno L, Gilingham E, Hudson L, Price L, Saboo A, Beresford L, Seviour S, White A, Roberts S, Abraham J. Enhancing type 2 diabetes treatment through digital plans of care. First results from the East Cheshire Study of an App to support people in the management of type 2 diabetes. Cardiovascular Endocrinology & Metabolism 2022;11(3) View
  7. Heald A, Roberts S, Albeda Gimeno L, Gilingham E, James M, White A, Saboo A, Beresford L, Crofts A, Abraham J. A Randomised Control Trial to Explore the Impact and Efficacy of the Healum Collaborative Care Planning Software and App on Condition Management in the Type 2 Diabetes Mellitus Population in NHS Primary Care. Diabetes Therapy 2023;14(6):977 View
  8. M P, S P S, S C. Identification of Diabetes with Mobile Applications using Cloud Based Expert System. Advances in Computational Intelligence in Materials Science 2023:89 View
  9. Leng M, Sun Y, Li C, Han S, Wang Z. Usability Evaluation of a Knowledge Graph–Based Dementia Care Intelligent Recommender System: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e45788 View
  10. Mannoubi C, Kairy D, Menezes K, Desroches S, Layani G, Vachon B. The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review. JMIR Medical Informatics 2024;12:e46699 View
  11. Park G, Lee H, Lee Y, Kim M, Jung S, Khang A, Yi D. Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial. Asian Nursing Research 2024;18(2):114 View

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