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‘We do what we can as soon as we can’ Alcohol and Other Drug workforce perspectives on preventing and responding to prenatal alcohol exposureEvidence based strategies are needed to enhance the ability of the Alcohol and Other Drugs (AOD) sector to prevent prenatal alcohol exposure (PAE) and harms including Fetal Alcohol Spectrum Disorder (FASD). In Australia FASD prevention research has largely focused on primary care and child development sectors, while little research has been conducted with AOD services providing comprehensive support to high risk women.
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School-based intervention to address self-regulation and executive functioning in children attending primary schools in remote Australian Aboriginal communitiesExecutive functioning and self-regulation influence a range of outcomes across the life course including physical and mental health, educational success, and employment
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Putting ‘Justice’ in Recovery Capital: Yarning about Hopes and Futures with Young People in DetentionWe must celebrate success and hope through a process of mapping and building recovery capital in the justice context at an individual and institutional level
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A preliminary investigation of the effects of prenatal alcohol exposure on facial morphology in children with Autism Spectrum DisorderWhile early exposure to alcohol may influence the development of facial structures, it does not appear to be associated with ASD phenotypic variability
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Has a national policy guideline influenced the practice of raising the topic of alcohol and breastfeeding by maternal healthcare practitioners?Having a national policy guideline for safe alcohol consumption during lactation has not promoted awareness of this topic among maternal health practitioners
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Benefits of caseload midwifery to prevent fetal alcohol spectrum disorder: A discussion paperDrawing on previous research, caseload midwifery has potential to support the prevention of fetal alcohol spectrum disorder through continuity of care
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Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniquesThe current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood