JMIR Diabetes

Exercise is an important aspect of diabetes self-management. Patients with type 1 diabetes frequently struggle with exercise-induced hyperglycemia and hypoglycemia, decreasing their willingness to exercise. Objective: We aim to build accurate and easy-to-deploy models to forecast exercise-induced glycemic events in real-world settings.

Chinese Americans with type 2 diabetes (T2D) face significant challenges in dietary management, which is crucial for glycemic control. Wearable sensors, such as the eButton and continuous glucose monitor (CGM), offer a promising solution.

The COVID-19 pandemic led to increased patient demand for remote management of type 2 diabetes using secure messaging, or patient-provider text-based communication. Prior research on secure messaging has described the content of messages sent for type 2 diabetes management and demonstrated its impact on clinical outcomes. However, there is a gap in knowledge about how secure messaging performs as a communication medium for specific tasks in clinical care (e.g. prescription management, discussing medical questions). Additional research is needed to understand physician experiences using secure messaging to communicate with patients about clinical tasks that support diabetes management.

Clinicians currently lack an effective means for identifying youth with type 1 diabetes (T1D) who are at risk for experiencing glycemic deterioration between diabetes clinic visits. As a result, their ability to identify youth who may optimally benefit from targeted interventions designed to address rising glycemic levels is limited. Although electronic health records (EHR)-based risk predictions have been used to forecast health outcomes in T1D, no study has investigated the potential for using EHR data to identify youth with T1D who will experience a clinically significant rise in HbA1c ≥0.3% (~3 mmol/mol) between diabetes clinic visits.

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.