JMIR Diabetes

The COVID-19 pandemic catalyzed the adoption of digital technologies in health care. This study assesses a digital-first integrated care model for type 2 diabetes management in Western Sydney, using continuous glucose monitoring (CGM) and virtual Diabetes Case Conferences (DCC) involving the patient, general practitioner (GP), diabetes specialist, and diabetes educator at the same time.

Inequity in diabetes technology use persists among Black and Hispanic youth with type 1 diabetes (T1D). Community health workers (CHWs) can address social and clinical barriers to diabetes device use. However, more information is needed on clinicians’ perceptions to inform the development of a CHW model for youth with T1D.

Type 2 diabetes (T2D) is a complex, chronic condition that requires ongoing management. An important aspect of effective diabetes management is shared decision-making between the person with diabetes and the healthcare professionals (HCPs) to tailor individual treatment plans. Personal health technologies can play a crucial role in this collaborative effort by providing tools for monitoring, communication, and education.

A novel mobile health (mHealth) App “acT1ve”, developed using a co-design model provides real-time support during exercise for young people with type 1 diabetes (T1D).

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.

The utility of a nurse-led telemonitoring approach (NLTA) is yet to be firmly established in diabetes management.

Pneumonia is the most common respiratory tract infection among diabetic patients across all age groups and sexes.

Artificial Intelligence (AI) chatbots have shown competency in a range of areas including clinical note taking, diagnosis, research and emotional support. An obesity epidemic, alongside a growth in novel injectable pharmacological solutions has put a strain on limited resources.

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.