Abdul Latif El Ejel Bassel, Sattar Saba, Fatima Syeda Bisma, Khan Hadequa Noor, Ali Husnain, Iftikhar Abdullah, Sarwer Muhammad Asad, Mushtaq Minahill
General Medicine, Stavropol State Medical University, Stavropol, RUS.
Internal Medicine, King Edward Medical University, Lahore, PAK.
Cureus. 2025 May 15;17(5):e84177. doi: 10.7759/cureus.84177. eCollection 2025 May.
Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glycemic control in patients with type 2 diabetes mellitus (T2DM) receiving home-based care. This systematic review evaluates the effectiveness of various DDMTs, including mobile health applications, continuous glucose monitoring (CGM), telemedicine, smart insulin pens, and artificial intelligence-driven decision support systems, in optimizing blood glucose levels. A comprehensive literature search across PubMed, Embase, Scopus, Web of Science, and the Cochrane Library identified nine high-quality systematic reviews published between 2020 and 2024. These reviews synthesized evidence from randomized controlled trials (RCTs) and observational studies, with sample sizes ranging from small pilot studies to large-scale trials. The findings indicate that DDMTs significantly improve HbA1c levels, fasting blood glucose, and postprandial glucose compared to standard self-care practices. Mobile applications and CGM systems demonstrated notable reductions in HbA1c, while telemedicine interventions enhanced patient adherence and engagement. Personalized coaching and real-time feedback were key factors in intervention success. However, challenges such as digital health literacy, cost barriers, and long-term adherence remain concerns. Some studies highlighted the need for sustained engagement to maintain long-term benefits. While DDMTs offer a viable alternative to traditional diabetes management, future research should focus on standardizing interventions, addressing accessibility issues, and evaluating their cost-effectiveness. This review contributes to the growing evidence supporting DDMTs in T2DM management and underscores the potential of digital health innovations in improving glycemic outcomes and patient self-care in home settings.
数字糖尿病管理技术(DDMTs)已成为改善接受居家护理的2型糖尿病(T2DM)患者血糖控制的有前景的工具。本系统评价评估了包括移动健康应用程序、连续血糖监测(CGM)、远程医疗、智能胰岛素笔和人工智能驱动的决策支持系统在内的各种DDMTs在优化血糖水平方面的有效性。通过对PubMed、Embase、Scopus、Web of Science和Cochrane图书馆进行全面的文献检索,确定了2020年至2024年期间发表的9篇高质量系统评价。这些评价综合了随机对照试验(RCTs)和观察性研究的证据,样本量从小型试点研究到大规模试验不等。研究结果表明,与标准的自我护理方法相比,DDMTs能显著改善糖化血红蛋白(HbA1c)水平、空腹血糖和餐后血糖。移动应用程序和CGM系统显示HbA1c有显著降低,而远程医疗干预增强了患者的依从性和参与度。个性化指导和实时反馈是干预成功的关键因素。然而,数字健康素养、成本障碍和长期依从性等挑战仍然令人担忧。一些研究强调需要持续参与以维持长期效益。虽然DDMTs为传统糖尿病管理提供了可行的替代方案,但未来的研究应侧重于规范干预措施、解决可及性问题以及评估其成本效益。本评价为支持DDMTs用于T2DM管理的越来越多的证据做出了贡献,并强调了数字健康创新在改善家庭环境中的血糖结果和患者自我护理方面的潜力。