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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/99626, first published .
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An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

Thamra Al Ghafri   1, 2 * , PhD, MPH, MD, BSc ;   Saud Al Harthi   3 * , MD ;   Asma Bait Ishaq   1 * , MSc ;   Huwaida Al Harthi   1 , MSc ;   Maryam Al Muaini   4 ;   Rahma Al-Ghadani   4 ;   Ahmed Aljufaili   5 ;   Mohamed Al Harb   5 ;   Abdullah Al Saadi   5 ;   Abdelhamid Abdessalem   2 ;   Noushath Shaffi   2 ;   Mohamed Ahmed   6 ;   Said Jaboob   7 ;   Nadia Al Maqbali   8 ;   Moza Al-Shehhi   9 ;   Talib Al Kalbani   10 ;   Amal Al Shukaili   11 ;   Jannat Al Harthi   12

1 Directorate General of Health Services, Muscat, Oman

2 Sultan Qaboos University, Muscat, Muscat, Oman

3 Ministry of Health, Directorate General of Khaula Hospital, Muscat, Oman

4 Ministry of Health, Ministry of Health, Batina, Oman

5 Ministry of Health, Ministry of Health, Sharqiyah, Oman

6 Ministry of Health, Ministry of Health, AlWosta, Oman

7 Ministry of Health, Ministry of Health, Dhofar, Oman

8 Ministry of Health, Ministry of Health, Aldhahira, Oman

9 Ministry of Health, Ministry of Health, Musandam, Oman

10 Ministry of Health, Ministry of Health, Buraimi, Oman

11 Ministry of Health, Ministry of Health, Aldakhilyah, Oman

12 National University of Science and Technology, Sohar, Oman

*these authors contributed equally

Corresponding Author:

  • Thamra Al Ghafri, PhD, MPH, MD, BSc
  • Directorate General of Health Services
  • Ministry of Health
  • Muscat 113
  • Oman
  • Phone: 968 99376455
  • Email: thamra74@yahoo.com