Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40420, first published .
The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial

The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial

The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial

Journals

  1. Brož J, Campbell M, Krollová P, Michalec J. Methodological Considerations for a Diabetes Family-Based eHealth Intervention. JMIR mHealth and uHealth 2023;11:e48652 View
  2. Feng Y, Li X. Authors’ Reply: Methodological Considerations for a Diabetes Family-Based eHealth Intervention. JMIR mHealth and uHealth 2023;11:e52204 View
  3. Li W, Tong J. Family-Based, Culturally Responsive Intervention for Chinese Americans With Diabetes: Lessons Learned From a Literature Review to Inform Study Design and Implementation. Asian/Pacific Island Nursing Journal 2023;7:e48746 View
  4. Liu C, Lee W, Teo C, Zhang J, Chong M. Development and usability evaluation of a culturally adapted stroke prevention educational programme on WeChat apps. DIGITAL HEALTH 2024;10 View
  5. van Leersum C, Konrad K, Bults M, den Ouden M. Living with my diabetes – introducing eHealth into daily practices of patients with type 2 diabetes mellitus. DIGITAL HEALTH 2024;10 View
  6. Sun H, Wu Y, Sun J, Zhou W, Xu Q, Hu D. Nutrition Management Miniprograms in WeChat: Evaluation of Functionality and Quality. JMIR Human Factors 2024;11:e56486 View
  7. Rondhianto R, Kushariyadi K, Rahmatullah M. The Effect of Family Caregiver Empowerment Model Intervention on Fear of Hypoglycemia in People with Type-2 Diabetes Mellitus. Nurse Media Journal of Nursing 2024;14(2) View
  8. Ni B, Zhang Q, Tang F, Zhang J, Mao F, Liu Y. Risk factors of foodborne parasitic diseases still remain in China: a WeChat-based knowledge, attitudes, and practices study. BMC Public Health 2024;24(1) View
  9. Li M, Liu S, Yu B, Li N, Lyu A, Yang H, He H, Zhang N, Ma J, Sun M, Du H, Gao R. Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis. Journal of Medical Internet Research 2025;27:e63209 View
  10. Xiao Y, Wang Z, Zhang L, Xie N, Chen F, Song Z, Zhao S. Effectiveness of Digital Diabetes Management Technology on Blood Glucose in Patients With Type 2 Diabetes at Home: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e66441 View
  11. Chen J, Lv L, Zhao X, Liu Y, Zhong S, Yu G, Wang Y, Yang C, Chen J, Ye Y, Zeng S, Luo H, Zhang D, Wu Y, Liu S. The effectiveness of a community-based online low-glycaemic index diet and lifestyle recommendations intervention for people with type 2 diabetes: a randomized controlled trial. Archives of Public Health 2025;83(1) View
  12. Ong R, Ng C, Gunasekaran K, Liu H, Hsu W, Lee M, Tan N, Behnoush A. Utility of a patient similarity-based digital tool for risk communication to patients with type 2 diabetes mellitus: perspectives from primary care physicians in ambulatory care. PLOS ONE 2025;20(3):e0319992 View
  13. Yoon S, Lau R, Kwan Y, Liu H, Sahrin R, Phang J, Zhang Y, Graves N, Low L. Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives. DIGITAL HEALTH 2025;11 View