Skip to content

Search

Developmental queer and trans actualizations: A clear pathway to promoting health and well-being for sexually and gender diverse youth

Minority stress models and trauma-focused approaches have predominated our understanding and responses to health disparities among sexually and gender diverse (SGD) young people for more than 30 years. While the impacts and root causes of adversities are undoubtedly critical for promoting SGD health and well-being, it is important to highlight strengths-based narratives of the lives of SGD youth.

The future of paediatric obstructive sleep apnoea assessment: Integrating artificial intelligence, biomarkers, and more

Assessing obstructive sleep apnoea in children involves various methodologies, including sleep studies, nocturnal oximetry, and clinical evaluations. Previous literature has extensively discussed these traditional methods. 

Understanding wellbeing from the perspective of youth with chronic conditions: A group concept mapping approach

Promoting wellbeing for youth is a global health priority and young people with chronic conditions demonstrate disproportionately low wellbeing compared to their peers. However, wellbeing is variably defined, and little is understood as to what wellbeing means for this population. The aim of this study was to develop a conceptualisation of wellbeing that is rooted in the perspectives of young people with chronic conditions. 

Session Rating of Perceived Exertion Is a Valid Method to Monitor Intensity of Exercise in Adults with Acute Burn Injuries

Measuring exercise intensity for safety and to inform prescription in acute burn survivors, is challenging. This study aimed to assess the validity of adult patient end-of-workout rating of session perceived exertion (sRPE); and calculated training load (TL) (sRPE × session duration) as measures of exercise intensity. Secondly, the study aimed to compare clinician and patient perception of exercise effort during physiotherapist-led sessions.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.

Measuring the Burden of Epilepsy Hospitalizations in CDKL5 Deficiency Disorder

Information on the hospital service use among individuals with CDKL5 Deficiency Disorder, an ultrarare developmental epileptic encephalopathy, is limited, evidence of which could assist with service planning. Therefore, using baseline and longitudinal data on 379 genetically verified individuals in the International CDKL5 Disorder Database, we aimed to investigate rates of seizure-related and other hospitalizations and associated length of stay in this cohort.

An Overview of the Skin Microbiome, the Potential for Pathogen Shift, and Dysbiosis in Common Skin Pathologies

Recent interest in the diverse ecosystem of bacteria, fungi, parasites, and viruses that make up the skin microbiome has led to several studies investigating the microbiome in healthy skin and in a variety of dermatological conditions. 

Therapeutic development to accelerate malaria control through intentional intervention layering

The clinical development of novel vaccines, injectable therapeutics, and oral chemoprevention drugs has the potential to deliver significant advancements in the prevention of Plasmodium falciparum malaria. These innovations could support regions in accelerating malaria control, transforming existing intervention packages by supplementing interventions with imperfect effectiveness or offering an entirely new tool.

Study of Children Aged Under 2 Years Admitted With RSV at Four Australian Hospitals [2021–2022]

Primary aim was to review severe acute respiratory infections (SARI) hospitalisations caused by respiratory syncytial virus (RSV) in children aged < 2 years in paediatric hospitals in Australia. Secondary aims included RSV subtyping, assessing RSV seasonality and contributing to the World Health Organisation's RSV surveillance programme.

Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels

o map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.