Understanding Inequality Within a Personalised System of Disability Support: Australian Children With Disabilities' Unmet Support Needs

ABSTRACT Disability support has shifted towards models of personalised care, which critics argue may contribute to increased inequalities. There is limited systematic evidence investigating inequalities in support among children with disabilities. To investigate inequalities in support, a survey of parents of children with disabilities aged 2–17 was conducted. Data from 644 participants were used to analyse unmet needs. Poisson regression was used to examine relationships between child characteristics, family background, NDIS funding, and number of unmet needs. Most children (83%) were reported to have unmet needs, with therapy, school‐based support, and support workers most common. Older children and those with greater functional difficulty had higher unmet need. Low household income, adult disability, single‐parent families and residence in regional areas were also associated with higher unmet need. Individual funding was associated with lower unmet need for therapy and medical care, but higher unmet need for support workers, access to community activities and transport. Unmet needs for support are common, and there exist substantial inequalities in support for children with disabilities. Individual funding was not found to reduce unmet needs for support. These results indicate that there is an urgent need for reform of Australia's disability support systems to enhance equitable support.

Authors

Institutions

Publication Details

Journal
Australian Journal of Social Issues
Published
2025-08-18
DOI
https://doi.org/10.1002/ajs4.70062
Primary Topic
Healthcare innovation and challenges
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Inequality Within a Personalised System of Disability Support: Australian Children With Disabilities' Unmet Support Needs

Jennifer Smith‐Merry, Martin O’Flaherty, Jessica Hill
Australian Journal of Social Issues
Healthcare innovation and challenges
article

Understanding Inequality Within a Personalised System of Disability Support: Australian Children With Disabilities' Unmet Support Needs

Jennifer Smith‐Merry, Martin O’Flaherty, Jessica Hill
article en

Abstract

ABSTRACT Disability support has shifted towards models of personalised care, which critics argue may contribute to increased inequalities. There is limited systematic evidence investigating inequalities in support among children with disabilities. To investigate inequalities in support, a survey of parents of children with disabilities aged 2–17 was conducted. Data from 644 participants were used to analyse unmet needs. Poisson regression was used to examine relationships between child characteristics, family background, NDIS funding, and number of unmet needs. Most children (83%) were reported to have unmet needs, with therapy, school‐based support, and support workers most common. Older children and those with greater functional difficulty had higher unmet need. Low household income, adult disability, single‐parent families and residence in regional areas were also associated with higher unmet need. Individual funding was associated with lower unmet need for therapy and medical care, but higher unmet need for support workers, access to community activities and transport. Unmet needs for support are common, and there exist substantial inequalities in support for children with disabilities. Individual funding was not found to reduce unmet needs for support. These results indicate that there is an urgent need for reform of Australia's disability support systems to enhance equitable support.

Australian Journal of Social Issues
The University of Sydney (AU), The University of Queensland (AU)
University of Queensland, National Disability Insurance Agency, Medical Research Council, Australian Research Council, National Health and Medical Research Council
Openalex Percentile: Top 77%
Healthcare innovation and challenges
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.