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

Mobile Health (mhealth) (3464) Diabetes Self-Management (588) User-Centered Design Case Studies (713) Design and Formative Evaluation of Mobile Apps (809) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Usability of Apps and User Perceptions of mHealth (1188) Apps, Mobile, Wearables for Diabetes (364) Human Factors and Usability Case Studies (1005)

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 (27) Tweetations (2) Metrics

Journals

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  2. Gonçalves R, Pagano A, Reis Z, Brackstone K, Lopes T, Cordeiro S, Nunes J, Afagbedzi S, Head M, Meira Jr W, Batchelor J, Ribeiro A. Usability of Telehealth Systems for Noncommunicable Diseases in Primary Care From the COVID-19 Pandemic Onward: Systematic Review. Journal of Medical Internet Research 2023;25:e44209 View
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  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
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  12. Nouri K, Nazari M, Kaveh M, Hosseini F. Effectiveness of a Health Belief Model-based Educational Intervention on Treatment Adherence Among Type 2 Diabetic Patients: Insights from a Randomized Controlled Trial in Iran. Journal of Education and Community Health 2024;11(2):98 View
  13. Okubanjo A, Alexander O, Olumide O, Benjamin A, Oluwatoyin O. Development of a low-cost IoT-based e-health monitoring system for diabetic patients. Journal of Electrical Systems and Information Technology 2024;11(1) View
  14. Frimpong A, Granados A, Chang T, Fu J, Moore S, Applebaum S, Adepoju B, Kaur M, Hari Krishnan V, Levi A, McCall T, Nwanyanwu K. Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes. JMIR Formative Research 2025;9:e65893 View
  15. da Costa M, Cavalcante F, de Oliveira K, Jones A, Silva A, Brandão M, Neto N, Barros L. Development, Validation, and Usability Evaluation of an Application for Health Education in Individuals With Cardiometabolic Diseases. CIN: Computers, Informatics, Nursing 2025 View
  16. Sobhi N, Sadeghi-Bazargani Y, Mirzaei M, Abdollahi M, Jafarizadeh A, Pedrammehr S, Alizadehsani R, Tan R, Islam S, Acharya U. Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging. Journal of Diabetes & Metabolic Disorders 2025;24(1) View
  17. Utami A, Achour N, Pascale F. Evaluating Telemedicine for Chronic Disease Management in Low- and Middle-Income Countries During Corona Virus Disease 2019 (COVID-19). Hospitals 2025;2(2):9 View
  18. Watson S, Mofty H, Donnelly M, Peto T, Hogg R. Adherence to Usability and Accessibility Principles in Digital Health Applications for Patients With Diabetes: Systematic Review. Journal of Medical Internet Research 2025;27:e71567 View
  19. Al Mahmud A, Joachim S, Jayaraman P, Learmonth C, Tyagi S, Forkan A, Shuakat M, Wickramasinghe N, Wheeler J, Best S, Trainer A. Digital Health Interventions to Support Chronic Disease Management: A Systematic Scoping Review (Preprint). JMIR mHealth and uHealth 2024 View
  20. Mannoubi C, Vachon B, Menezes K, Desroches S, Kairy D. Design, implementation, and evaluation of complex telenutrition interventions used for diabetes self-management and monitoring. DIGITAL HEALTH 2025;11 View
  21. Barton C, Hoffman M, Cox N, Glenn L, Lee J, Cox I, Goh N, Troy L, Mackintosh J, Chambers D, Glaspole I, Gebski V, Keech A, Palmer A, Laranjo L, Knibbs L, Moodley Y, Brooke M, Holland A, Corte T. A randomised clinical trial of a digital self-management package for people with interstitial lung disease: the REBUILD-SM protocol. Respiratory Research 2025 View

Books/Policy Documents

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  2. Bergoeing M, Neyem A, Jofré P, Hernández C, Chacón J, Morales R, Giddings M. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View
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Conference Proceedings

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  3. Ghazal M, Salman H, Yaghi M, Gad A, Hamdan H, Al-Jamri D, Ahmed S, Yousaf J. 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud). AI-Driven Glucose Forecasting and Personalized Feedback for Diabetic Patients via a Mobile Health Platform View