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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (339) Telehealth and Telemonitoring (2140) Prevention and Health Promotion (1428) Clinical Communication, Electronic Consultation and Telehealth (789)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46624, first published .
Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study

Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study

Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study

Authors of this article:

Huige Shao1 Author Orcid Image ;   Chaoyuan Liu2 Author Orcid Image ;   Li Tang1 Author Orcid Image ;   Bian Wang1 Author Orcid Image ;   Hebin Xie3 Author Orcid Image ;   Yiyu Zhang1 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Rahman A, Uddin J. Revealing Factors Influencing mHealth Adoption Intention Among Generation Y: An Empirical Study Using SEM-ANN-IPMA Analysis. Digital 2025;5(2):9 View
  2. Matter R, Amin G, Youssef N, Fereig Y. Impact of Covid-19 on children and adolescents with type 1 diabetes: lifestyle, telecommunication service, and quality of life. Journal of Pediatric Endocrinology and Metabolism 2025;38(6):590 View
  3. Yan C, Samphanwattanachai B, Ratarat C, Phinyo P, Maniangat Luke A. Factors influencing user decision of telemedicine applications in Thailand. PLOS One 2025;20(6):e0325512 View
  4. Hamasaki H. The Relationship Between Socioeconomic Status and Health Behaviors in Older Adults: A Narrative Review. Healthcare 2025;13(14):1669 View
  5. Shin S, Lee W. Factors Driving Continuous Intention to Use Telemedicine in the Post-COVID-19 Era: An Integrated HBM and UTAUT Approach. Health Marketing Quarterly 2025;42(4):407 View
  6. Naji G, Anas N, Saleem M, Savita K, Iskandar Y. Factors influencing professional knowledge workers’ adoption intention towards AI-driven telemedicine. Cogent Business & Management 2025;12(1) View
  7. Liu X, Sengupta A. Competition or Complementarity Among Telemedicine Tools in Ambulatory Care Practice: Cross-Sectional Analysis. JMIR Medical Informatics 2025;13:e75246 View
  8. Alipour J, Payandeh A, Hayavi-Haghighi M. Factors associated with clinical coders’ intention to use the international classification of diseases 11th revision (ICD-11): a cross-sectional study in Iran. BMC Medical Informatics and Decision Making 2026 View
  9. Kang J, Park S, Woo K. The Analysis of Factors Influencing the Intention to Use of Military Telemental Health Services Among Psychiatric Outpatients at Military Hospital. Telemedicine and e-Health 2026 View