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Fetal alcohol spectrum disorder: the importance of assessment, diagnosis and support in the Australian justice context

The current article outlines how individuals with fetal alcohol spectrum disorder may experience inequities within the justice system

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

Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App

The Milk Man app was an acceptable source of breastfeeding information and support that fathers and fathers-to-be are prepared to use throughout the perinatal period

Online Video Instruction on Hand Expression of Colostrum in Pregnancy is an Effective Educational Tool

Findings suggest that the use of an online expert video is an acceptable and effective way to educate pregnant women in antenatal colostrum expression

Benefits of caseload midwifery to prevent fetal alcohol spectrum disorder: A discussion paper

Drawing on previous research, caseload midwifery has potential to support the prevention of fetal alcohol spectrum disorder through continuity of care

Risk of Developmental Disorders in Children of Immigrant Mothers: A Population-Based Data Linkage Evaluation

Increased risk of autism spectrum disorder with intellectual disability and cerebral palsy with intellectual disability for mothers of some foreign-born groups

A systematic review of prevention interventions to reduce prenatal alcohol exposure and fetal alcohol spectrum disorder in indigenous communities

There is little evidence that previous interventions aiming to reduce the risk of prenatal alcohol exposure or FASD in Indigenous populations have been effective

Reducing harms related to alcohol use in pregnancy – policy and practice recommendations

This issues brief outlines opportunities for change to support reduction of harms related to alcohol use in pregnancy

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood