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Showing results for "autism"
News & Events
Service availabilityAre you tired of being on waitlists to access supports for your family? CliniKids has immediate availability for a number of therapies and programs in clinic (Subiaco and Joondalup) or via telehealth.
People
Associate Professor Yasmin Harman-SmithHead, Early Years Systems Evidence; Head, Tenders Support Unit
News & Events
The Kids researcher among Top 5 Under 40Congratulations to Gail Alvares from our Autism research team who has been named as one the ABC's Top 5 Under 40 scientists in residence.
Research
Patterns of sedentary time and ambulatory physical activity in a Danish population of girls and women with Rett syndromeWe aimed to: (1) describe the patterns of sedentary time and daily steps and (2) identify the association of individual and environmental characteristitics.
Research
A prevalence study on parents with intellectual disability and their childrenMelissa Helen O'Donnell Leonard BPsych (Hons), MPsych, GradDip Ed, PhD MBChB MPH Honorary Research Associate Principal Research Fellow +61 419 956
Research
It's not what you were expecting, but it's still a beautiful journey: The experience of mothers of children with Down syndromeThe purpose of this study was to describe qualitatively the experience of parenting for mothers of a child with Down syndrome and to explore spirituality.
Research
Total population investigation of dental hospitalizations in Indigenous children under five years in Western Australia using linked dataThe aim of this study was to compare dental hospital admissions in a total state birth population of Indigenous and non-Indigenous children aged under five...
Discover how this family is benefitting from CliniKids' evidence-based therapies.
Research
Hospitalizations from Birth to 28 Years in a Population Cohort of Individuals Born with Five Rare Craniofacial Anomalies in Western AustraliaTo describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.
Research
Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980–2015Almost half of stillbirths could be potentially identified antenatally based on a combination of factors