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

Web-based and Mobile Health Interventions (3678) Apps, Mobile, Wearables for Diabetes (336) Diabetes Self-Management (540) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (651) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1594)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37430, first published .
Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial

Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial

Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial

Authors of this article:

Eun Young Lee1 Author Orcid Image ;   Seon-Ah Cha2 Author Orcid Image ;   Jae-Seung Yun3 Author Orcid Image ;   Sun-Young Lim4 Author Orcid Image ;   Jin-Hee Lee4 Author Orcid Image ;   Yu-Bae Ahn3 Author Orcid Image ;   Kun-Ho Yoon1 Author Orcid Image ;   Min Kyung Hyun5 Author Orcid Image ;   Seung-Hyun Ko3 Author Orcid Image
Article Authors Cited by (40) Tweetations (4) Metrics

Journals

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  18. Seo S, Kim C, Kang H, Schlenk E. Educational Needs and Priorities of People with Diabetes and Healthcare Providers in South Korea: A Mixed-Methods Study. Journal of Transcultural Nursing 2025;36(2):195 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. Alkharis V, Asiandi , Supriyadi , Purwandari R. Design and Development of Diabestfriend Application for Digital Self Care Management of Type 2 Diabetes Mellitus Patients. Revista de Gestão Social e Ambiental 2024;18(10):e08958 View
  21. Tang Z, Zhao L, Li J, Yang Y, Liu F, Li H, Yang Z, Qin S, Li X. Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis. Archives of Public Health 2024;82(1) View
  22. Kelly F, Moraes F, Lôbo A, Sano V, Souza M, Almeida A, Kreuz M, Laurinavicius A, Consolim-Colombo F. The effect of telehealth on clinical outcomes in patients with hypertension and diabetes: A meta-analysis of 106,261 patients. Journal of Telemedicine and Telecare 2024 View
  23. Li M, Liu S, Yu B, Li N, Lyu A, Yang H, He H, Zhang N, Ma J, Sun M, Du H, Gao R. Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis. Journal of Medical Internet Research 2025;27:e63209 View
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  30. Meenasantirak A, Siripitakchai C, Suriya N. A Feasibility Study of a Web Application Intervention for Persons With Uncontrolled Diabetes. Health Promotion Journal of Australia 2025;36(2) View
  31. 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
  32. Versluis A, Boels A, Huijden M, Mijnsbergen M, Rutten G, Vos R. Diabetes self‐management education and support delivered by mobile health (mHealth) interventions for adults with type 2 diabetes—A systematic review and meta‐analysis. Diabetic Medicine 2025;42(5) View
  33. Mehmood S, Kazmi N, Khan S. Personalized Chronic Care for Diabetes Management in Pakistan: A Report of Two Cases. Cureus 2025 View
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Books/Policy Documents

  1. 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

  1. Ramos D, Grisales J, Beltrán M. 2024 3rd International Congress of Biomedical Engineering and Bioengineering (CIIBBI). Bloodmeter: Application for Data Acquisition and Analysis in Diabetes Patients View