Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34737, first published .
Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey

Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey

Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey

Journals

  1. Guracho Y, Thomas S, Win K. Smartphone application use patterns for mental health disorders: A systematic literature review and meta-analysis. International Journal of Medical Informatics 2023;179:105217 View
  2. Zhang M, Zhang H, Zhu R, Yang H, Chen M, Wang X, Li Z, Xiong Z. Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study. Frontiers in Public Health 2023;11 View
  3. Kaklamanou D, Nguyen L, Al-Abbadey M, Sangala N, Lewis R, Ayatollahi H. Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration. PLOS Digital Health 2024;3(10):e0000614 View
  4. Fan J, Li J, Duan C, Zhao Q, Guo Y. Utilization and Influencing Factors of Mobile Health Applications in Diabetes Management. CIN: Computers, Informatics, Nursing 2025;43(6) View
  5. He T, Yang X, Yuan L, Li R, Lv J, wang Y. Factors influencing mobile health utilisation among patients with diabetes in Sichuan, China: a cross-sectional study based on Andersen’s behavioural model. BMJ Open 2025;15(4):e091921 View

Books/Policy Documents

  1. Li Q, Hao Z, Shao H, Xia Y, Liu K. Human Aspects of IT for the Aged Population. View