Xiao Yuping, Wang Zhenzhen, Zhang Lintao, Xie Nina, Chen Fangyao, Song Zihao, Zhao Sha
School of Nursing, Shaanxi University of Chinese Medicine, Xianyang, China.
Acupuncture and Moxibustion Department, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
J Med Internet Res. 2025 Mar 3;27:e66441. doi: 10.2196/66441.
Patients with type 2 diabetes mellitus (T2DM) face elevated morbidity, mortality, and care costs. Digital self-monitoring of blood glucose (SMBG) can automatically upload data to apps, share the data with health care providers, reduce errors, and aid long-term diabetes management.
This study aimed to assess the effectiveness of digital diabetes management techniques based on digital SMBG on blood glucose in patients with T2DM at home.
A systematic search was conducted in PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, China Biomedical Literature Database, and Cochrane Library for articles published from the establishment of each database to December 25, 2023. Data were extracted independently by 2 researchers (YX and NX), and the risk of bias in individual trials was rated using the Cochrane risk-of-bias tool. A meta-analysis was conducted using RevMan 5.3 (Cochrane).
Twelve studies were included, involving 1669 participants. The meta-analysis found that in the digital diabetes management group, hemoglobin A (mean difference [MD] -0.52%, 95% CI -0.63% to -0.42%; P<.001), fasting blood sugar (MD -0.42, 95% CI -0.65 to -0.19 mmol/L; P<.001), 2-hour postprandial blood sugar (MD -0.64, 95% CI -0.97 to -0.32 mmol/L; P<.001), and BMI (MD -1.55, 95% CI -2.92 to -0.17 kg/m; P=.03) were each improved compared to the control group.
Digital diabetes management has been shown to effectively improve blood glucose levels and BMI in individuals with T2DM in home settings. A key feature of successful digital health interventions is the frequent SMBG by patients, supported by dedicated health care professionals who provide timely, personalized, and responsive guidance.
PROSPERO CRD42024560431; https://tinyurl.com/yfam3nms.
2型糖尿病(T2DM)患者面临更高的发病率、死亡率和护理成本。数字血糖自我监测(SMBG)可以自动将数据上传到应用程序,与医疗保健提供者共享数据,减少误差,并有助于长期糖尿病管理。
本研究旨在评估基于数字SMBG的数字糖尿病管理技术对居家T2DM患者血糖的有效性。
在PubMed、Embase、Web of Science、中国知网、万方、中国生物医学文献数据库和Cochrane图书馆中进行系统检索,以查找从每个数据库建立到2023年12月25日发表的文章。由2名研究人员(YX和NX)独立提取数据,并使用Cochrane偏倚风险工具对单个试验的偏倚风险进行评估。使用RevMan 5.3(Cochrane)进行荟萃分析。
纳入12项研究,涉及1669名参与者。荟萃分析发现,在数字糖尿病管理组中,糖化血红蛋白(平均差[MD] -0.52%,95%置信区间 -0.63%至 -0.42%;P<0.001)、空腹血糖(MD -0.42,95%置信区间 -0.65至 -0.19 mmol/L;P<0.001)、餐后2小时血糖(MD -0.64,95%置信区间 -0.97至 -0.32 mmol/L;P<0.001)和BMI(MD -1.55,95%置信区间 -2.92至 -0.17 kg/m²;P = 0.03)与对照组相比均有改善。
数字糖尿病管理已被证明可有效改善居家T2DM患者的血糖水平和BMI。成功的数字健康干预的一个关键特征是患者频繁进行SMBG,并得到提供及时、个性化和响应性指导的专业医疗保健人员的支持。
PROSPERO CRD42024560431;https://tinyurl.com/yfam3nms。