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

Journals

  1. Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64 View
  2. Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2023;25(S1):S-90 View
  3. Lee J, Yu J, Yoon K. Opening the Precision Diabetes Care through Digital Healthcare. Diabetes & Metabolism Journal 2023;47(3):307 View
  4. Aziz S, El Monem Sultan E, Ramadan H, Abd O. Effect of Using Smart Phone Application on Self-Care Activities among Patients with Diabetes Mellitus. Egyptian Nursing Journal 2023;20(1):147 View
  5. Chen S, Lu J, Peng D, Liu F, Lu W, Zhu W, Bao Y, Zhou J, Jia W. Incidence rate and risk factors for hypoglycemia among individuals with type 1 diabetes or type 2 diabetes in China receiving insulin treatment. Diabetes Research and Clinical Practice 2023;206:110987 View
  6. Georgieva N, Tenev V, Kamusheva M, Petrova G. Diabetes Mellitus—Digital Solutions to Improve Medication Adherence: Scoping Review. Diabetology 2023;4(4):465 View
  7. Hügle T, Grek V, Geisler B. Digital transformation of an academic hospital department: A case study on strategic planning using the balanced scorecard. PLOS Digital Health 2023;2(11):e0000385 View
  8. Stoll S, Litchman C, Rubin N, Rubin L, Vartanian T. Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application. International Journal of MS Care 2024;26(2):69 View
  9. Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2024;26(S1):S-90 View
  10. Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. eBioMedicine 2024;103:105091 View
  11. Sánchez-Quiñones B, Antón-Maldonado C, Ibarra Vega N, Martorell Mariné I, Santamaria A. Development and Implementation of an eHealth Oncohematonootric Program: Descriptive, Observational, Prospective Cohort Pilot Study. JMIR Formative Research 2024;8:e49574 View
  12. Berlot A, Chen P, Kaur S, Mowrey W, Mahali L, Gonzalez J, Wylie-Rosett J, Golestaneh L, Jariwala S. Developing and Evaluating the DiabetesXcel Mobile Application for Adult Patients With Type 2 Diabetes. Clinical Diabetes 2024;42(2):232 View
  13. Kim K, Yun J, Lee J, Yang Y, Lee M, Ahn Y, Cho J, Ko S. Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Endocrinology and Metabolism 2024;39(2):344 View

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