Yiwei Qiu, Yao Tang, Yixuan Li, Li Cheng, Xu Wang, Baofeng Du, Ruhai Bai
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引用次数: 0
Abstract
Background: Online health management has been implemented to improve glycemic control in patients with type 2 diabetes mellitus (T2DM). This study aims to evaluate the effectiveness of online health management interventions in managing T2DM through a systematic review and meta-analysis.
Methods: A comprehensive search was conducted in six databases-PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure, and Wanfang Data-from January 1, 2010, to September 1, 2024. Eligible studies included randomized controlled trials (RCTs) involving adults (≥ 18 years) diagnosed with T2DM. Two independent reviewers screened the studies and assessed the risk of bias. Meta-analyses were performed using Review Manager 5.4 (Cochrane Collaboration). The primary outcomes included glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and postprandial blood glucose (PBG).
Results: Out of 6283 records screened, 44 RCTs involving 27,178 T2DM patients were included (16,972 in the intervention group and 10,206 in the control group). Pooled results showed that online health management interventions significantly improved HbA1c, FBG, PBG, systolic blood pressure, diastolic blood pressure, and waist circumference. Improvements were also observed in dietary behavior, physical activity, and self-efficacy. However, no significant effects were found on body weight, body mass index, or lipid metabolism parameters, including total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. Subgroup analyses indicated that interventions delivered by physicians, those targeting individuals aged ≥ 60 years, and those using digital coaching for less than six months were more effective in glycemic control.
Conclusion: Online health management interventions may effectively support glycemic and blood pressure control and self-management in T2DM patients. Nevertheless, additional research with larger sample sizes and more extended follow-up periods is justified due to the substantial heterogeneity and limitations across the included studies.
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