Mapping the Gap: A National Analysis of Complex Communication Needs Prevalence Using Existing Australian Data Sources — The Association Specialists
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  3. Mapping the Gap: A National Analysis of Complex Communication Needs Prevalence Using Existing Australian Data Sources

Mapping the Gap: A National Analysis of Complex Communication Needs Prevalence Using Existing Australian Data Sources (23739)

Sewnet Kebede 1 , Katrina Williams 1 , Mohammed Alshawsh 1 , Amanda Brignell 1
  1. Department of Paediatrics, Monash University , Melbourne , Victoria, Australia

Introduction: Understanding the prevalence and characteristics of people with complex communication needs (CCN) is essential for effective service planning and for creating inclusive communities. This study aims to evaluate whether current data collection systems can accurately capture the CCN prevalence in Australia, and to estimate how common CCN among children without physical disabilities using existing national data.

Methods: This cross‑sectional study analysed Australian national administrative datasets and surveys, including the National Disability Insurance Scheme (NDIS), Centrelink, Australian Institute of Health and Welfare (AIHW), Department of Education and Training, and the Australian Bureau of Statistics (ABS). Prevalence of CCN was estimated per 10,000 population with 95% confidence intervals calculated using the Clopper–Pearson method.

Results: The ABS provided the most relevant categories for estimating the number and characteristics of people with CCN. In 2022, approximately 183,900 (3.84%) children aged 4–18 had autism and 29,499 (0.62%) had intellectual disability (ID), with a substantial proportion experiencing severe or profound communication disability. The prevalence of CCN among children aged 4-18 with autism or ID was 296 per 10,000, increased from 144 per 10,000 in 2018.

Conclusions: Current data sources do not allow for precise estimation of CCN prevalence in Australia due to limitations in the definitions and measurement methods of the existing data. Of the available datasets, the ABS provides the most complete national data; however, estimates rely on proxy reporting. Improved accuracy requires a nationally agreed definition of CCN and consistent criteria for identifying CCN across all data sources. Future data collection should combine proxy reporting with standardised assessments and collect more detailed communication measures. Public reporting should prioritise disorder-specific information to better support research, policy, and service planning.

 

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