School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Diabetes Obes Metab. 2023 Nov;25(11):3279-3289. doi: 10.1111/dom.15227. Epub 2023 Jul 31.
To compare the efficacy of digitally assisted interventions on the glycated haemoglobin (HbA1c) levels of patients with type 2 diabetes by performing a systematic review, network meta-analysis and component network meta-analysis.
Six databases were searched to identify eligible articles from the inception of each database until 17 March 2023. We included randomized controlled trials evaluating HbA1c levels. Data were pooled with a random-effects model under a frequentist framework. The evidence certainty was assessed using Confidence in Network MetaAnalysis (CINeMA). The PROSPERO registration number was CRD42021283815.
In total, 75 trials involving 9764 participants were included. Results from standard network meta-analyses of 17 interventions revealed that compared with standard care, a mobile application (MA) combined with a professional education programme and peer support education (PSE; -1.98, 95% confidence interval = -2.90 to -1.06, CINeMA score: moderate to high) significantly reduced HbA1c levels. The component analysis found that PSE (-1.50, -2.36 to -0.64), SMS (-0.33, -0.56 to -0.11), MA (-0.30, -0.56 to -0.04) and telephone calls (-0.30, -0.53 to -0.06) most effectively reduced HbA1c levels among patients with type 2 diabetes.
SMS and MA are the optimal digitally assisted interventions for reducing HbA1c levels. Educators can integrate digitally assisted interventions complemented by educational programmes, particularly MA combined with professional education programme and PSE, into daily care to control HbA1c. The limitations of included trials include a lack of information on allocation concealment and blinding and the fact that long-term follow-up effects were not investigated.
通过系统评价、网络荟萃分析和成分网络荟萃分析,比较数字辅助干预对 2 型糖尿病患者糖化血红蛋白(HbA1c)水平的疗效。
从每个数据库的创建到 2023 年 3 月 17 日,检索 6 个数据库以确定合格的文章。我们纳入了评估 HbA1c 水平的随机对照试验。使用频率论框架下的随机效应模型对数据进行汇总。使用置信网络荟萃分析(CINeMA)评估证据确定性。PROSPERO 注册号为 CRD42021283815。
共有 75 项试验,涉及 9764 名参与者。17 种干预措施的标准网络荟萃分析结果显示,与标准护理相比,移动应用程序(MA)与专业教育计划和同伴支持教育(PSE)相结合(-1.98,95%置信区间 = -2.90 至-1.06,CINeMA 评分:中至高)显著降低 HbA1c 水平。成分分析发现,PSE(-1.50,-2.36 至-0.64)、短信(SMS)(-0.33,-0.56 至-0.11)、MA(-0.30,-0.56 至-0.04)和电话呼叫(-0.30,-0.53 至-0.06)对降低 2 型糖尿病患者的 HbA1c 水平最有效。
短信和 MA 是降低 HbA1c 水平的最佳数字辅助干预措施。教育工作者可以将数字化辅助干预与教育计划相结合,特别是 MA 与专业教育计划和 PSE 相结合,纳入日常护理中以控制 HbA1c。纳入试验的局限性包括缺乏关于分配隐藏和盲法的信息,以及没有调查长期随访效果。