Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: May 5, 2024
Date Accepted: Apr 15, 2025

The final, peer-reviewed published version of this preprint can be found here:

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

Anqi Z, Wang J, wan x, zhang z, zhao s, bai s, miao y, shuang y, jiang x

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

JMIR Mhealth Uhealth 2025;13:e60227

DOI: 10.2196/60227

PMID: 40536934

PMCID: 12199844

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A community-based home intelligent blood glucose management for older adults with type 2 diabetes based on the Health Belief Model — a randomized controlled trial

  • Zhang Anqi; 
  • Jinsong Wang; 
  • xiaojuan wan; 
  • ziyi zhang; 
  • shuhan zhao; 
  • shuo bai; 
  • yamin miao; 
  • yang shuang; 
  • xue jiang

ABSTRACT

Background:

The number of older patients with type 2 diabetes has been on the rise, and effective self-management is key to controlling disease progression and its complications.

Objective:

A home telemedicine intervention combining telemedicine and health education based on the Health Belief Model was designed, and the effectiveness on self-management in older patients with type 2 diabetes was evaluated.

Methods:

A randomized controlled trial including 198 community-dwelling patients aged 65 years or older with type 2 diabetes was conducted. Patients were randomly assigned to a control group (conventional diabetes management program), or intervention group (home telemedicine intervention with a health education program based on the Health Belief Model). The intervention lasted for 6 months. The primary outcome was glycosylated hemoglobin; secondary outcomes were diabetes self-management capacity, self-efficacy, and health beliefs. Baseline, 3-month, and 6-month outcome metrics were collected. Generalized estimating equations were used to compare changes in outcomes. The study is registered with the China Clinical Trial Registry (ChiCTR2200057428).

Results:

96.5% (191/198) of patients completed the study. From baseline to 6 months, HbA1c decreased by -0.99 (95% CI, -1.60% to -0.60%) in the intervention group and -0.42 (95% CI, -0.90% to 0.90%) in the control group. The intervention group had a greater reduction, of 0.42, compared to the control group (95% CI, 0.12% to 0.73%). Compared to the control group, the intervention group showed significant improvements in diabetes self-management skills, self-efficacy, and health beliefs at 3 and 6 months.

Conclusions:

Home telemedicine interventions with health education based on the Health Belief Model may result in greater benefits for community-dwelling older patients with type 2 diabetes, potentially offering new options for chronic disease prevention and management. However, future large-scale studies are needed to assess effectiveness and feasibility. Clinical Trial: China Clinical Trial Registry (ChiCTR2200057428); https://www.chictr.org.cn/showproj.html?proj=152850


 Citation

Please cite as:

Anqi Z, Wang J, wan x, zhang z, zhao s, bai s, miao y, shuang y, jiang x

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

JMIR Mhealth Uhealth 2025;13:e60227

DOI: 10.2196/60227

PMID: 40536934

PMCID: 12199844

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.