Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13971, first published .
A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis

A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis

A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis

Journals

  1. Liang D, Fan G. Social Support and User Characteristics in Online Diabetes Communities: An In-Depth Survey of a Large-Scale Chinese Population. International Journal of Environmental Research and Public Health 2020;17(8):2806 View
  2. Chiu C, Yu Y, Du Y, Yang Y, Chen J, Wong L, Tanasugarn C. Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e14024 View
  3. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455 View
  4. Zhang Y, Liu C, Luo S, Huang J, Yang Y, Ma X, Li X, Zhou Z. Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching. JMIR mHealth and uHealth 2021;9(2):e25122 View
  5. Li J, Wei D, Liu S, Li M, Chen X, Chen L, Wu Y, Zhou W, Ouyang L, Tan C, Meng H, Tong N. Efficiency of an mHealth App and Chest-Wearable Remote Exercise Monitoring Intervention in Patients With Type 2 Diabetes: A Prospective, Multicenter Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(2):e23338 View
  6. Shen C, Jiang B, Yang Q, Wang C, Lu K, Gu M, Yuan J. Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e26262 View
  7. Ossai C, Wickramasinghe N. Text Mining and Grounded Theory for Appraising the Self-Management Indicators of Diabetes Mobile Apps. Endocrine and Metabolic Science 2021;4:100101 View
  8. Liu C, Tang S, An K, Zhang S, Zhou Y, Su N, Yang R, Liao X, An Z, Li S. Knowledge, Attitude, and Practice of Metformin Extended-Release Tablets Among Clinicians in China: A Cross-Sectional Survey. Frontiers in Pharmacology 2021;12 View
  9. Geirhos A, Stephan M, Wehrle M, Mack C, Messner E, Schmitt A, Baumeister H, Terhorst Y, Sander L. Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management. Scientific Reports 2022;12(1) View
  10. Ossai C, Wickramasinghe N. Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. Journal of Medical Systems 2022;46(12) View
  11. Cheng K, Wang H, Zhu Y, Wang Y, Zhu H, Lyu W. Perceptions of Chinese older adults with type 2 diabetes mellitus about self-management mobile platform: A qualitative study. Geriatric Nursing 2022;46:206 View
  12. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  13. Tang H, Qin H, Zhang M, Zhang J, Tan H, Chen M, Kong L, Guo M, Hu F, Wang Q, Wang X, Zhang K, Xiong Z. Efficacy of a smartphone application for helping individuals with type 2 diabetes mellitus manage their blood glucose: a protocol for factorial design trial. Trials 2023;24(1) View