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Research

Workforce training needs to address social and emotional wellbeing in home-based Aboriginal and Torres Strait Islander aged care

To explore the training needs of the home care workforce in supporting the social and emotional wellbeing of Aboriginal and Torres Strait Islander peoples receiving aged care services through the Home Care Package Program.

Research

Use of privacy-preserving record linkage to examine the dispensing of pharmaceutical benefits scheme medicines to pregnant women in Western Australia

Medications are commonly used during pregnancy to manage pre-existing conditions and conditions that arise during pregnancy. However, not all medications are safe to use in pregnancy. This study utilized privacy-preserving record linkage (PPRL) to examine medications dispensed under the national Pharmaceutical Benefits Scheme (PBS) to pregnant women in Western Australia (WA) overall and by medication safety category. 

Research

A digital intervention to support childhood cognition after the COVID-19 pandemic: a pilot trial

Difficulties in executive functioning (EF) can result in impulsivity, forgetfulness, and inattention. Children living in remote/regional communities are particularly at risk of impairment in these cognitive skills due to reduced educational engagement and poorer access to interventions. This vulnerability has been exacerbated by the COVID-19 pandemic and strategies are needed to mitigate long-term negative impacts on EF.

Research

Early childhood development strategy for the world's children with disabilities

Early childhood is foundational for optimal and inclusive lifelong learning, health and well-being. Young children with disabilities face substantial risks of sub-optimal early childhood development, requiring targeted support to ensure equitable access to lifelong learning opportunities, especially in low- and middle-income countries. 

Research

An Expanded Conceptual Framework for Understanding Irritability in Childhood: The Role of Cognitive Control Processes

Children prone to irritability experience significant functional impairments and internalising and externalising problems. Contemporary models have sought to elucidate the underlying mechanisms in irritability, such as aberrant threat and reward biases to improve interventions. 

Research

‘It’s been a lifelong thing for me’: parents’ experiences of facilitating a healthy lifestyle for their children with severe obesity

For parents and guardians, assisting children/adolescents with severe obesity to lose weight is often a key objective but a complex and difficult challenge. Our aim in this study was to explore parents' (and guardians') perspectives on the challenges they have faced in assisting their children/adolescents with severe obesity to lead a healthy lifestyle.

Research

Risk factors for poorer respiratory outcomes in adolescents and young adults born preterm

The respiratory outcomes for adult survivors of preterm birth in the postsurfactant era are wide-ranging with prognostic factors, especially those encountered after the neonatal period, poorly understood.

Research

A multi-institutional retrospective pooled outcome analysis of molecularly annotated pediatric supratentorial ZFTA-fused ependymoma

ZFTA-RELA (formerly known as c11orf-RELA) fused supratentorial ependymoma has been recognized as a novel entity in the 2016 WHO classification of CNS tumors and further defined in the recent 2021 edition.

Research

The Founder - Dispositional Greed, Showbiz, and the Commercial Determinants of Health

Marketing unhealthy products by multinational corporations has caused considerable harm to individual health, collective wellbeing, and environmental sustainability. This is a growing threat to all societies and a significant contributor to the rising global burden of non-communicable diseases and early mortality.

Research

disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling

Disaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to an increasing demand for modeling frameworks that can deal with this data to understand spatial patterns.