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

Apps, Mobile, Wearables for Diabetes (288) Mobile Health (mhealth) (2777) Decision Support for Health Professionals (1145)

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

Authors of this article:

Hala Ibrahim Alhodaib1, 2 Author Orcid Image ;   Christina Antza3 Author Orcid Image ;   Joht Singh Chandan4 Author Orcid Image ;   Wasim Hanif5 Author Orcid Image ;   Sailesh Sankaranarayanan6 Author Orcid Image ;   Sunjay Paul7 Author Orcid Image ;   Paul Sutcliffe2 Author Orcid Image ;   Krishnarajah Nirantharakumar4, 8 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  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