Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions
Bassel Abdul Latif el Ejel, Saba Sattar, Syeda Bisma Fatima, Hadequa Noor Khan, Husnain Ali, Abdullah Iftikhar, Muhammad Asad Sarwer, Minahill Mushtaq

TL;DR
Digital tools for managing type 2 diabetes at home improve blood sugar control and patient engagement compared to traditional methods.
Contribution
This systematic review evaluates the effectiveness of various digital diabetes management technologies in home-based care settings.
Findings
DDMTs significantly improve HbA1c, fasting, and postprandial glucose levels compared to standard self-care.
Mobile apps and CGM systems show notable HbA1c reductions, while telemedicine improves adherence and engagement.
Challenges include digital health literacy, cost, and long-term adherence, requiring sustained engagement for lasting benefits.
Abstract
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,…
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Taxonomy
TopicsMobile Health and mHealth Applications · Diabetes Management and Research · Artificial Intelligence in Healthcare
