Published on in Vol 5, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19650, first published .
Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study

Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study

Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study

Journals

  1. Schüttler C, Zerlik M, Gruendner J, Köhler T, Rosenau L, Prokosch H, Sedlmayr B. Empowering Researchers to Query Medical Data and Biospecimens by Ensuring Appropriate Usability of a Feasibility Tool: Evaluation Study. JMIR Human Factors 2023;10:e43782 View
  2. Park M, Moon K. Web-Based Delirium Prevention Application for Long-Term Care Facilities. Journal of the American Medical Directors Association 2023;24(4):559 View
  3. Bakker C, Wyatt T, Breth M, Gao G, Janeway L, Lee M, Martin C, Tiase V. Nurses’ Roles in mHealth App Development: Scoping Review. JMIR Nursing 2023;6:e46058 View
  4. Norris K, Williams S, Nee R. Flattening the Playing Field for Treatment of Diabetic Kidney Disease. Seminars in Nephrology 2023;43(3):151428 View
  5. Shi L, Xue Y, Yu X, Wang Y, Hong T, Li X, Ma J, Zhu D, Mu Y. Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study. JMIR Public Health and Surveillance 2024;10:e54429 View