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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Usability of Apps and User Perceptions of mHealth (902) Apps, Mobile, Wearables for Diabetes (288) Diabetes Self-Management (464)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14024, first published .
Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study

Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study

Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study

Authors of this article:

Ching-Ju Chiu1 Author Orcid Image ;   Yung-Chen Yu2 Author Orcid Image ;   Ye-Fong Du3 Author Orcid Image ;   Yi-Ching Yang4 Author Orcid Image ;   Jou-Yin Chen5 Author Orcid Image ;   Li-Ping Wong6 Author Orcid Image ;   Chanuantong Tanasugarn7 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Ehrmann D, Eichinger V, Vesper I, Kober J, Kraus M, Schäfer V, Hermanns N, Kulzer B, Silbermann S. Health care effects and medical benefits of a smartphone-based diabetes self-management application: study protocol for a randomized controlled trial. Trials 2022;23(1) View
  2. Zhong J, Zhang H, Li Z, Qian D, Zhang Y, Li C, Song Y, Qin Z, Yu J, Bian S, Yu Y, Wang K, Li J. Effect of social app-assisted education and support on glucose control in patients with coronary heart disease and diabetes mellitus. Frontiers in Cardiovascular Medicine 2022;9 View
  3. Beks H, King O, Clapham R, Alston L, Glenister K, McKinstry C, Quilliam C, Wellwood I, Williams C, Wong Shee A. Community Health Programs Delivered Through Information and Communications Technology in High-Income Countries: Scoping Review. Journal of Medical Internet Research 2022;24(3):e26515 View
  4. Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y, Fan G. U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes. Frontiers in Endocrinology 2023;14 View
  5. Skovlund S, Renza S, Laurent J, Cerletti P. Identification of Core Outcome Domains and Design of a Survey Questionnaire to Evaluate Impacts of Digital Health Solutions That Matter to People With Diabetes. Journal of Diabetes Science and Technology 2023 View
  6. Shahshahani M, Goodarzi-Khoigani M, Eghtedari M, Javadzade H, Jouzi M. Effectiveness of a web-based program on self-care behaviors and glycated hemoglobin in patients with type 2 diabetes: Study protocol of a randomized controlled trial. Journal of Education and Health Promotion 2023;12(1):284 View
  7. Tsai Y, Chuang L, Lee Y, Chiu C. Behavioral and Psychological Factors in Buffering Diabetes-related Disability Development. Annals of Behavioral Medicine 2023;57(12):1046 View
  8. Fernández-Rodríguez R, Zhao L, Bizzozero-Peroni B, Martínez-Vizcaíno V, Mesas A, Wittert G, Heilbronn L. Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis. Telemedicine and e-Health 2024;30(4):919 View
  9. Berlot A, Chen P, Kaur S, Mowrey W, Mahali L, Gonzalez J, Wylie-Rosett J, Golestaneh L, Jariwala S. Developing and Evaluating the DiabetesXcel Mobile Application for Adult Patients With Type 2 Diabetes. Clinical Diabetes 2024;42(2):232 View