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General practice-based care for Australian children is facing low levels of clinical guideline adherence particularly in three key areas: asthma, type 1 diabetes and antibiotic use. We offer an implementation science-informed position paper, providing a broad overview of how we aim to address this issue.
Humans are commonly exposed to plastic through their dietary intake and food consumption patterns. Plastic-associated chemicals (PAC), such as bisphenols and phthalates, are recognized as endocrine-disrupting and are associated with increased risk of cardiovascular disease and metabolic syndrome. However, accurate methods to assess dietary exposure to plastic products and PAC are inadequate, limiting interrogation of health impacts.
Continuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking.
Advanced hybrid closed-loop (AHCL) therapy improves glycemia. However, it is not known if there is an improvement in overall outcomes with AHCL for youth with type 1 diabetes (T1D) at high risk of diabetes-related complications. The study aimed to capture the experiences of youth with suboptimal glycemic control when commencing AHCL therapy in a clinical trial setting.
A type 1 diabetes (T1D) transition clinic in Sydney, Australia, provides age specific care for young adults (aged 16-25 years) and for adults (aged 21 years and above), and has reported improved clinical outcomes post transition to adult care over a 21-year period. This study investigated the contribution of digital technology to long-term resilient capacity of the clinic.
We aimed to assess perceived stress and influencing factors in mothers with children at risk of type 1 diabetes and coeliac disease who did, or did not, develop islet autoantibodies or coeliac autoantibodies by 4 years of age.
Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was designed to evaluate the safety, usability and feasibility of 'COMPASS,' a self-compassion chatbot intervention.
Blood glucose management around exercise is challenging for youth with type 1 diabetes (T1D). Previous research has indicated interventions including decision-support aids to better support youth to effectively contextualize blood glucose results and take appropriate action to optimize glucose levels during and after exercise. Mobile health (mHealth) apps help deliver health behavior interventions to youth with T1D, given the use of technology for glucose monitoring, insulin dosing, and carbohydrate counting.
This article describes the development of a Model of Care resource to support youth involved with the justice system where a neurodevelopmental disability such as Fetal Alcohol Spectrum Disorder is suspected. Service staff within the Youth Justice sector were engaged in an iterative process of resource development over a 9-month period.
To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.