Evidence mapPaperPMID 40536934Full record

Trial reportJMIR mHealth and uHealth2025

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

Anqi Zhang, Jinsong Wang, Xiaojuan Wan, Ziyi Zhang, Shuhan Zhao, Shuo Bai, Yamin Miao, Shuang Yang, Xue Jiang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Anqi Zhang *The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou City, Yangzhou, 225009, China, 86 15952771632.ORCID http://orcid.org/0000-0003-1702-0043
Jinsong Wang *The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou City, Yangzhou, 225009, China, 86 15952771632.ORCID http://orcid.org/0000-0002-2526-6193
Xiaojuan WanSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0000-0003-3289-8524
Ziyi ZhangSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0000-0002-6253-9699
Shuhan ZhaoSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0009-0009-3163-9775
Shuo BaiSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0000-0002-4470-8794
Yamin MiaoSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0009-0009-3863-2613
Shuang YangSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0009-0004-7638-2911
Xue JiangSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0009-0008-1064-2564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The number of older patients with type 2 diabetes (T2D) is increasing, and effective self-management is crucial for controlling disease progression and its complications. Objective: We designed a home telemedicine intervention that combines telemedicine with health education based on the Health Belief Model (HBM). This study evaluated its effectiveness on self-management in older patients with T2D. Methods: Between March and April 2022, we recruited 198 community-dwelling patients with T2D aged 65 years and older. Patients were randomly assigned to either a control group, which received a conventional diabetes management program, or an intervention group, which received a home telemedicine intervention with a health education program based on the HBM. The intervention lasted 6 months. The primary outcome measured was glycosylated hemoglobin (HbA1c); secondary outcomes included diabetes self-management capacity, self-efficacy, and health beliefs. We collected outcome metrics at baseline, 3 months, and 6 months. Generalized estimating equations were used to compare changes in outcomes. Results: A total of 96.5% (191/198) of patients completed the study. From baseline to 6 months, HbA1c decreased by mean -0.99% (95% CI -1.60% to -0.60%) in the intervention group and mean -0.42% (95% CI -0.90% to 0.90%) in the control group. The intervention group experienced a significantly greater reduction of 0.42% compared to the control group (95% CI 0.12%-0.73%). Furthermore, compared to the control group, the intervention group showed significant improvements in diabetes self-management skills (mean 5.88, 95% CI 4.98-6.79), self-efficacy (mean 9.40, 95% CI 8.15-10.66), and health beliefs (mean 19.54, 95% CI 17.71-21.36) at both 3 and 6 months. Conclusions: Home telemedicine interventions incorporating health education based on the HBM can provide significant benefits for community-dwelling older patients with T2D, potentially offering new avenues for chronic disease prevention and management. However, future large-scale studies are required to further assess their effectiveness and feasibility.

Indexed as

Diabetes Mellitus, Type 2Glycemic ControlHealth Belief ModelAgedAged, 80 and overBlood GlucoseFemaleGlycated HemoglobinHumansMaleSelf EfficacySelf-ManagementTelemedicineBlood GlucoseGlycated Hemoglobinblood glucosecommunitycommunity basedcommunity dwellingglucoseglucose managementglycosylated hemoglobinhealth belief modelhealth educationhome intelligenthome telemedicineolder adultsrandomized controlled trialtelemedicineType 2 diabetes

Identifiers

PMID40536934
PMCPMC12199844

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.