Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Sep 12, 2024
Date Accepted: Feb 3, 2025
Effectiveness of digital diabetes management technology on blood glucose in patients with type 2 diabetes at home: Meta-Analysis
ABSTRACT
Background:
Patients with type 2 diabetes mellitus (T2DM) experience increased morbidity, mortality, and incur higher care costs. Digital Self-glucose Monitoring (SMBG) can automatically upload home glucose measurements to secure digital health applications and share these data with healthcare personnel (HCPs). Real-time monitoring of SMBG data can reduce potential transcription errors from manual input, confirm hypoglycemia or hyperglycemia in real time, and be utilized for long-term management of diabetes.
Objective:
The purpose of this meta-analysis was to assess the effectiveness of digital diabetes management techniques based on digital SMBG on blood glucose in patients with type 2 diabetes at home.
Methods:
A systematic search of PubMed, Embase, Web of Science, CNKI, Wanfang, VIP, CBM, and Cochrane Library for articles published from the establishment of the database to December 25, 2023. Data were extracted independently by two researchers, and the risk of bias in individual trials was rated using the Cochrane risk-of-bias tool. Meta-analysis was conducted by using RevMan 5.3.
Results:
Twelve studies were included and 1669 participants were involved. Meta-analysis found that in the digital diabetes management group, glycosylated hemoglobin (mean Difference [MD]=-0.52, 95%CI -0.63 to -0.42, P < .0001), Fasting blood sugar (MD=-0.42, 95%CI -0.65 to -0.19, P < .05), 2h postprandial blood sugar (MD=-0.64, 95%CI -0.97 to -0.32, P < .0001), body mass index(MD=-1.55, 95%CI -2.92 to -0.17, P < .05) were each improved compared to the control group.
Conclusions:
Digital diabetes management can effectively improve blood sugar levels and body mass index in people with type 2 diabetes at home. Clinical Trial: https://www.crd.york.ac.uk/PROSPERO/,CRD42024560431.
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