Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets.
Timothy C NielsenNatasha NassarKelsie A BoultonAdam J GuastellaSamantha J LainPublished in: Journal of autism and developmental disorders (2023)
Routinely collected data help estimate the prevalence of autism spectrum disorder (ASD) in jurisdictions without active autism surveillance. We created a population-based cohort of 1,211,834 children born in 2002-2015 in New South Wales, Australia using data linkage. Children with ASD were identified in three datasets - disability services, hospital admissions, and ambulatory mental health data. The prevalence of ASD in the cohort was 1.3% by age 12 and prevalence at age 6 increased an average of 4.1% per year (95% Confidence Interval, 3.3%, 4.8%). Most children with ASD were identified in disability services data (87%), although data linkage identified 1,711 additional cases that were more likely female, older at first contact, and living in major cities and less disadvantaged areas.
Keyphrases
- autism spectrum disorder
- electronic health record
- mental health
- intellectual disability
- attention deficit hyperactivity disorder
- big data
- risk factors
- young adults
- primary care
- multiple sclerosis
- genome wide
- blood pressure
- public health
- data analysis
- gene expression
- deep learning
- dna methylation
- preterm infants
- hiv testing
- hiv infected
- antiretroviral therapy
- low birth weight
- preterm birth