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Factors influencing the attainment of major motor milestones in CDKL5 deficiency disorder

This study investigated the influence of factors at birth and in infancy on the likelihood of achieving major motor milestones in CDKL5 Deficiency Disorder (CDD). Data on 350 individuals with a pathogenic CDKL5 variant was sourced from the International CDKL5 Disorder Database.

Nurturing families: One year pilot outcomes for a modified Parent Child Assistance Program in Australia

Alcohol and Other Drug (AOD) exposure during pregnancy is linked to serious adverse child outcomes, including Fetal Alcohol Spectrum Disorder. The Parent-Child Assistance Program (PCAP) supports women with problematic AOD use, who are pregnant or have young children, and are not effectively engaging with services. PCAP has been shown to reduce alcohol exposed pregnancies, promote AOD abstinence, increase employment and family planning and improve child outcomes.

Development of an International Database for a Rare Genetic Disorder: The MECP2 Duplication Database (MDBase)

The natural history of MECP2 duplication syndrome (MDS), a rare X-linked neurodevelopmental disorder with an estimated birth prevalence of 1/150,000 live births, is poorly understood due to a lack of clinical data collected for research. Such information is critical to the understanding of disease progression, therapeutic endpoints and outcome measures for clinical trials, as well as the development of therapies and orphan products.

Assessing The Validity Of A Culturally Modified Drinking Motives Questionnaire For Use In Aboriginal Communities

Alcohol related harms disproportionately affect Aboriginal people in Australia. Motives to drink have been identified as the most proximal factor to alcohol consumption.The aim of this study is to assess the validity of a culturally modified Drinking Motives Questionnaire-Revised (DMQ-R) (Cooper, 1994) with Aboriginal participants. The study was cross sectional, utilising data collected via face-to-face surveys with a sample of adult Aboriginal participants.

Employing cognitive interviewing to evaluate, improve and validate items for measuring the health-related quality of life of women diagnosed with ovarian cancer

Use of patient-reported outcome measures in clinical settings facilitate the delivery of better health care to improve patient health outcomes.

Improving the Journey Before, During and After Diagnosis of a Neurodevelopmental Condition: Suggestions from a Sample of Australian Consumers and Professionals

The current study used a transdiagnostic approach to explore experiences of consumers and professionals on how the process of assessing and diagnosing neurodevelopmental conditions can be improved.

An exploratory study on the role of criminogenic risk factors and informant-rated everyday executive functioning in predicting the age of offending onset in young people with FASD

Fetal Alcohol Spectrum Disorder (FASD) is characterised by a range of neurodevelopmental deficits that may increase risks of justice system involvement. Improving our understanding of criminogenic risk factors and particularly the role of informant-rated executive functioning (EF) in predicting the age of offending onset in this clinical population may reduce recidivism and help inform targeted interventions.

Risk and resilience factors impacting the mental health and wellbeing of siblings of individuals with neurodevelopmental conditions: A mixed methods systematic review

This pre-registered systematic review synthesised and evaluated the existing literature on self-reported mental health and wellbeing of siblings of individuals with neurodevelopmental conditions.

Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.