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Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018

BACKGROUND: Australia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerabilit...

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Autores principales: Collier, Luke R., Gregory, Tess, Harman-Smith, Yasmin, Gialamas, Angela, Brinkman, Sally A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315438/
https://www.ncbi.nlm.nih.gov/pubmed/34327392
http://dx.doi.org/10.1016/j.lanwpc.2020.100057
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author Collier, Luke R.
Gregory, Tess
Harman-Smith, Yasmin
Gialamas, Angela
Brinkman, Sally A.
author_facet Collier, Luke R.
Gregory, Tess
Harman-Smith, Yasmin
Gialamas, Angela
Brinkman, Sally A.
author_sort Collier, Luke R.
collection PubMed
description BACKGROUND: Australia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerability across Australia's states and territories, the socio-economic distribution of developmental vulnerability across jurisdictions, and how these distributions might have changed over time. METHODS: This study employed multivariable logistic regressions to estimate the probability of developmental vulnerability within each jurisdiction and AEDC collection year (2009 to 2018), adjusting for jurisdictional differences in socio-demographic characteristics. To explore socio-economic inequalities in child development, adjusted slope index of inequality (SII) models were utilised. FINDINGS: The results of this study found reductions in the adjusted prevalence of developmental vulnerability over time in Western Australia (26% to 20%) and Queensland (30% to 25%), with an increase observed in the Australian Capital Territory (27% to 30%). Analysis also indicated an increase in socio-economic inequalities over time in the Northern Territory (+12%), the Australian Capital Territory (+6%) and Tasmania (+4%). Sensitivity analysis found these effects to be robust with an alternative measure of socio-economic position. INTERPRETATION: There is considerable variation in the prevalence and socio-economic inequalities in developmental vulnerability across Australia's jurisdictions. Future research should explore the policy drivers in early childhood education and health contributing to the findings of this study, with a particular focus on jurisdictions where there have been notable changes in developmental vulnerability and socio-economic inequality over time. FUNDING: Analyses were funded under research contract by the Department of Education, Skills and Employment. Prof Brinkman is supported by a National Health and Medical Research Council fellowship, APP1160185.
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spelling pubmed-83154382021-07-28 Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018 Collier, Luke R. Gregory, Tess Harman-Smith, Yasmin Gialamas, Angela Brinkman, Sally A. Lancet Reg Health West Pac Research Paper BACKGROUND: Australia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerability across Australia's states and territories, the socio-economic distribution of developmental vulnerability across jurisdictions, and how these distributions might have changed over time. METHODS: This study employed multivariable logistic regressions to estimate the probability of developmental vulnerability within each jurisdiction and AEDC collection year (2009 to 2018), adjusting for jurisdictional differences in socio-demographic characteristics. To explore socio-economic inequalities in child development, adjusted slope index of inequality (SII) models were utilised. FINDINGS: The results of this study found reductions in the adjusted prevalence of developmental vulnerability over time in Western Australia (26% to 20%) and Queensland (30% to 25%), with an increase observed in the Australian Capital Territory (27% to 30%). Analysis also indicated an increase in socio-economic inequalities over time in the Northern Territory (+12%), the Australian Capital Territory (+6%) and Tasmania (+4%). Sensitivity analysis found these effects to be robust with an alternative measure of socio-economic position. INTERPRETATION: There is considerable variation in the prevalence and socio-economic inequalities in developmental vulnerability across Australia's jurisdictions. Future research should explore the policy drivers in early childhood education and health contributing to the findings of this study, with a particular focus on jurisdictions where there have been notable changes in developmental vulnerability and socio-economic inequality over time. FUNDING: Analyses were funded under research contract by the Department of Education, Skills and Employment. Prof Brinkman is supported by a National Health and Medical Research Council fellowship, APP1160185. Elsevier 2020-11-13 /pmc/articles/PMC8315438/ /pubmed/34327392 http://dx.doi.org/10.1016/j.lanwpc.2020.100057 Text en © 2020 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Collier, Luke R.
Gregory, Tess
Harman-Smith, Yasmin
Gialamas, Angela
Brinkman, Sally A.
Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title_full Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title_fullStr Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title_full_unstemmed Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title_short Inequalities in child development at school entry: A repeated cross-sectional analysis of the Australian Early Development Census 2009–2018
title_sort inequalities in child development at school entry: a repeated cross-sectional analysis of the australian early development census 2009–2018
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315438/
https://www.ncbi.nlm.nih.gov/pubmed/34327392
http://dx.doi.org/10.1016/j.lanwpc.2020.100057
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