JMIR Diabetes
Emerging technologies, medical devices, apps, sensors, and informatics to help people with diabetes
Editor-in-Chief:
Ricardo Correa, MD, EdD (Co-Editor-in-Chief), Cleveland Clinic, United States Sheyu Li, MD (Co-Editor-in-Chief), West China Hospital, Sichuan University, China
Impact Factor 2.6 CiteScore 4.7
Recent Articles
Diabetes mellitus (DM) is a chronic condition requiring effective self-management to maintain glycemic control and prevent complications. Mobile health (mHealth) apps offer potential solutions by providing real-time monitoring, personalized feedback, and educational resources. However, their long-term adoption is hindered by a lack of user involvement in the development process and insufficient cultural adaptation. This study aims to explore the perspectives of DM patients in Hong Kong on the functionalities and features of mHealth apps, highlighting the importance of tailoring these apps to meet local cultural needs.
Gestational Diabetes Mellitus (GDM), a type of blood glucose intolerance or hyperglycaemia that occurs during pregnancy, is a common condition increasing in prevalence both globally and in Australia. Mobile health applications have been shown as a useful resource for women with Type 1 diabetes and could successfully contribute to GDM management by facilitating healthy behaviours.
Transition to adult healthcare for young people and young adults (YP/YA) with Type1 Diabetes Mellitus (T1DM) starts around 11 years-of-age, but transition services may not meet their needs. A combination of self-management support digital health technologies exists, but notably, no supportive chatbots with components to help YP/YA with T1DM were identified
Effective diabetes management requires precise glycemic control to prevent both hypoglycemia and hyperglycemia, yet existing machine learning (ML) and reinforcement learning (RL) approaches often fail to balance multiple competing objectives. Traditional RL-based glucose regulation systems primarily focus on single-objective optimization, overlooking critical factors such as minimizing insulin overuse, reducing glycemic variability, and ensuring patient safety. Furthermore, these approaches typically rely on centralized data processing, raising significant privacy concerns due to the sensitive nature of healthcare data. There is a critical need for a decentralized, privacy-preserving framework that can personalize blood glucose regulation while addressing the multi-objective nature of diabetes management.
Young adults (YA) with type 1 diabetes (T1D) often struggle with self-management and achieving target glycemic control and, thus, may benefit from additional support during this challenging developmental life stage. They are also some of the highest utilizers of social media (SM), which may have some benefits to young people with T1D.
Continuous glucose monitoring (CGM) is used to assess glycemic trends and guide therapeutic changes for people with diabetes. We aimed to increase patient access to this tool by equipping primary care physicians (PCPs) to accurately interpret and integrate CGM into their practice via a multidisciplinary team approach.
Diabetic foot problems are among the most debilitating complications of diabetes mellitus. The prevalence of diabetes mellitus and its complications, notably diabetic foot ulcers (DFUs), continues to rise, challenging healthcare despite advancements in medicine. Traditional detection methods for DFUs face scalability issues due to inefficiencies in time and practical application, leading to high recurrence and amputation rates alongside substantial healthcare costs. Human Medical Thermography presents a viable solution, offering an inexpensive, portable method without ionizing radiation, which could significantly enhance disease monitoring and detection, including DFUs.
