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

mHealth for Telemedicine and Homecare (530) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Telemedicine for Diabetes (115) Glucose Tracking and Self-Monitoring of Blood Glucose (202) Diabetes Education and Elearning for Patients (152)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60227, first published .
Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial

Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial

Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial

Authors of this article:

Anqi Zhang1, 2, 3 Author Orcid Image ;   Jinsong Wang1, 2 Author Orcid Image ;   Xiaojuan Wan2 Author Orcid Image ;   Ziyi Zhang2 Author Orcid Image ;   Shuhan Zhao2 Author Orcid Image ;   Shuo Bai2 Author Orcid Image ;   Yamin Miao2 Author Orcid Image ;   Shuang Yang2 Author Orcid Image ;   Xue Jiang2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Song L, Bai H, Pan Y, Zhang L, Luo A, Long Z, Dai L, Liao L. Application of smart healthcare in the continuum of care for type 2 diabetes mellitus: a scoping review protocol. BMJ Open 2025;15(9):e108373 View
  2. Ahadzadeh A, Shangfei J, Jiawen Y, Lee K, Ong F. Construal level theory in digital health: How consideration of future consequences bridges health beliefs and the intention to use fitness apps. DIGITAL HEALTH 2025;11 View