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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Diabetes (187) Apps, Mobile, Wearables for Diabetes (298) Diabetes Education and Elearning for Patients (114) Diabetes Self-Management (484) Glucose Tracking and Self-Monitoring of Blood Glucose (162)

Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17455, first published .
Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study

Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study

Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study

Authors of this article:

Yiyu Zhang1, 2, 3 Author Orcid Image ;   Chaoyuan Liu4 Author Orcid Image ;   Shuoming Luo1, 2, 3 Author Orcid Image ;   Jin Huang1 Author Orcid Image ;   Xia Li1, 2, 3 Author Orcid Image ;   Zhiguang Zhou1, 2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. 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
  2. Liu B, Huang F, Wu X, Xie Y, Xu R, Huang J, Li J, Yang X, Li X, Zhou Z. Poor guideline adherence in type 1 diabetes education in real-world clinical practice: Evidence from a multicentre, national survey. Patient Education and Counseling 2021;104(11):2740 View
  3. Hasegawa D, Hori A, Okamura Y, Baba R, Suijo K, Mizuno M, Sugawara J, Kitatsuji K, Ogata H, Toda K, Hotta N. Aging exaggerates blood pressure response to ischemic rhythmic handgrip exercise in humans. Physiological Reports 2021;9(22) View
  4. Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e31652 View
  5. Su B, Chen Y, Shen X, Guo J, Ding Y, Ma X, Yang Y, Liu D. Effectiveness of the Lilly Connected Care Program in Improving Glycemic Management Among Patients With Type 2 Diabetes in China: Retrospective Real-world Study. Journal of Medical Internet Research 2023;25:e38680 View
  6. Liao X, Yao C, Zhang J, Liu L. Recent advancement in integrating artificial intelligence and information technology with real‐world data for clinical decision‐making in China: A scoping review. Journal of Evidence-Based Medicine 2023;16(4):534 View
  7. Chen S, Lu J, Peng D, Liu F, Lu W, Zhu W, Bao Y, Zhou J, Jia W. Incidence rate and risk factors for hypoglycemia among individuals with type 1 diabetes or type 2 diabetes in China receiving insulin treatment. Diabetes Research and Clinical Practice 2023;206:110987 View
  8. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View