Evaluation of special educational needs and disability provision in English primary schools using administrative health and education data in the ECHILD database

IntroductionSchools worldwide balance whole-class teaching with additional provision for children with special educational needs or disability (SEND). Robust evidence on equity and effectiveness of SEND provision is essential to address growing demand and rising costs globally. ObjectivesTo synthesise findings from the Health Outcomes for young People throughout Education (HOPE) evaluation of variation in SEND provision and its impact on health and education outcomes in English primary schools. We integrated findings from 14 sub-studies using administrative data in the Education and Child Health Insights from Linked Data (ECHILD) database and 10 mixed methods sub-studies. MethodsAnalyses of ECHILD data followed children from birth to age 11 years. We examined how variation in SEND provision was associated with health conditions, and school, social and organisational factors. Using target trial emulation, we estimated the impact of SEND provision on hospital admissions, school absences and attainment. We surveyed and interviewed young people, parents, and professionals and reviewed information about services to understand SEND processes and contexts. ResultsOf 3.8 million children born 2004 to 2013, 30% had SEND provision recorded by age 11. Health conditions were only partially associated with SEND provision, which was also related to male gender, social disadvantage, low attainment and type of school. SEND provision modestly reduced rates of unauthorised absences in subgroups of children but showed no measurable benefit on hospital admissions or school attainment. Mixed methods studies highlighted benefits of early, responsive support, challenges posed by limited capacity, harms caused by delayed or inadequate provision, and need for parent advocacy to access SEND provision. DiscussionWeak evidence of benefits of SEND provision in causal analyses likely reflects unmeasured confounding, lack of measures of provision received and insensitive outcomes in ECHILD data. SEND policies need robust evidence from analyses across jurisdictions using administrative data, enhanced with better measures, experimental methods and contextual evaluation.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2026-02-12
DOI
https://doi.org/10.23889/ijpds.v10i2.3331
Citations
1
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
192.69

Funders

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

Evaluation of special educational needs and disability provision in English primary schools using administrative health and education data in the ECHILD database

Laura Gimeno, Stuart Logan, Ruth Gilbert, K. L. Harron et al.
1 citations
International Journal for Population Data Science
Early Childhood Education and Development
192.69
article

Evaluation of special educational needs and disability provision in English primary schools using administrative health and education data in the ECHILD database

Laura Gimeno, Stuart Logan, Ruth Gilbert, K. L. Harron, Jacob Matthews, Isaac Winterburn, William Farr, Kate Lewis, Jugnoo Sangeeta Rahi, Jennifer Saxton, Vincent Nguyen, Ayana Cant, Ania Zylbersztejn, Hayley Gains, Bianca De Stavola, Johnny Downs, Joachim Tan, On behalf of the HOPE study team.
article en
1 citations

Abstract

IntroductionSchools worldwide balance whole-class teaching with additional provision for children with special educational needs or disability (SEND). Robust evidence on equity and effectiveness of SEND provision is essential to address growing demand and rising costs globally. ObjectivesTo synthesise findings from the Health Outcomes for young People throughout Education (HOPE) evaluation of variation in SEND provision and its impact on health and education outcomes in English primary schools. We integrated findings from 14 sub-studies using administrative data in the Education and Child Health Insights from Linked Data (ECHILD) database and 10 mixed methods sub-studies. MethodsAnalyses of ECHILD data followed children from birth to age 11 years. We examined how variation in SEND provision was associated with health conditions, and school, social and organisational factors. Using target trial emulation, we estimated the impact of SEND provision on hospital admissions, school absences and attainment. We surveyed and interviewed young people, parents, and professionals and reviewed information about services to understand SEND processes and contexts. ResultsOf 3.8 million children born 2004 to 2013, 30% had SEND provision recorded by age 11. Health conditions were only partially associated with SEND provision, which was also related to male gender, social disadvantage, low attainment and type of school. SEND provision modestly reduced rates of unauthorised absences in subgroups of children but showed no measurable benefit on hospital admissions or school attainment. Mixed methods studies highlighted benefits of early, responsive support, challenges posed by limited capacity, harms caused by delayed or inadequate provision, and need for parent advocacy to access SEND provision. DiscussionWeak evidence of benefits of SEND provision in causal analyses likely reflects unmeasured confounding, lack of measures of provision received and insensitive outcomes in ECHILD data. SEND policies need robust evidence from analyses across jurisdictions using administrative data, enhanced with better measures, experimental methods and contextual evaluation.

International Journal for Population Data ScienceVol. 10(2)
King's College - North Carolina (US), King's College London (GB), University of Exeter (GB), University of Cambridge (GB), Great Ormond Street Hospital (GB), Great Ormond Street Hospital for Children NHS Foundation Trust (GB), Cambridge School (PT), Bridge University (SS), Institute of Child Health (IN), University College London (GB)
London School of Hygiene and Tropical Medicine, UK Research and Innovation, National Institute for Health and Care Research, Economic and Social Research Council, Programme Grants for Applied Research
Quality Education
Openalex Percentile: Top 0%
Early Childhood Education and Development
192.69
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.