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What’s in a name?

In WA, 60,000 kids live with a rare disease, and of those about half do not have a diagnosis. At The Kids, researchers are leading the charge in developing a method to identify genetic variations, so that kids like Charlotte can get answers.

A qualitative exploration of the phenomenology of pain in children to inform pain assessment methods

Pain is a common experience associated with healthcare for children, who often recall it as the worst part of hospitalisation. Several factors make assessment of pain more challenging in children. Families have previously identified the development of improved tools to assess pain in children as a key priority. We therefore sough to investigate the nature of this experience from the perspective of children and their parents to inform the development of such tools.

Individual differences in resilience to alcohol advertising: Two processing biases during advert viewing predict interindividual variation in postviewing craving and consumption

Despite potentially harmful consequences, people routinely encounter alcohol adverts designed to increase consumption of alcohol in preference to safer alternatives. However, individuals differ in the degree to which such adverts elicit preferential alcohol consumption. This study builds upon and extends prior research by testing hypotheses concerning the impact of biased processing during advert viewing on subsequent alcohol craving and consumption.

Development of a web-based resource for parents to support youth mental health: An exploratory sequential mixed methods approach

There is a lack of digital gatekeeper resources developed for parents to assist them in recognising and responding to mental health problems in their children and adolescents. We aimed to address this by exploring parents' mental health information needs, and to iteratively develop and design a resource incorporating their feedback.

Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.

The PROTECT Trial

Tobias Jenny Strunk Mountain Other Investigators MD, PhD, FRACP MBA MClinEpi Head, Neonatal Health Program Manager, Neonatal Health / Protect Trial

Sexual dimorphism in lung function responses to acute influenza A infection

Males are generally more susceptible to respiratory infections; however, there are few data on the physiological responses to such infections in males and...

Maternal consumption of coffee and tea during pregnancy and risk of childhood ALL: Results from an Australian case-control study

The objective of this study was to investigate whether maternal coffee and/or tea consumption during the last 6 months of pregnancy was associated with risk...

Identification and genetic determination of an early life risk disposition for depressive disorder:

Progress in psychiatric genetics has been slow despite evidence of high heritability for most mental disorders

Survival with Rett syndrome: comparing Rett's original sample with data from the Australian Rett syndrome Database

Rett syndrome is a severe neurodevelopmental disorder that typically affects females. Little is known about the natural history and survival time of these femal