Evidence map›Paper›PMID 41858404›Full record

ArticleInternational journal of population data science2026

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

Ruth Gilbert, Jenny Saxton, Ayana Cant, Kate Lewis, Vincent Nguyen, Hayley Gains, Ania Zylbersztejn, Joachim Tan, Laura Gimeno, Jacob Matthews and 10 more

Abstract read
In one paragraph

Article in International journal of population data science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Ruth GilbertUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Jenny SaxtonDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Ayana CantUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Kate LewisUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Vincent NguyenUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Hayley GainsDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Ania ZylbersztejnUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Joachim TanCentre for Longitudinal Studies, Social Research Institute, University College London, London, WC1H 0NU.
Laura GimenoDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Jacob MatthewsDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Isaac WinterburnDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Jugnoo RahiUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Johnny DownsInstitute of Psychiatry, Psychology and Neuroscience, Kings College London, SE5 8AB.
Stuart LoganDepartment of Health and Community Sciences, University of Exeter, Exeter, EX1 2HZ.
Will FarrFaculty of Education, University of Cambridge, Cambridge, CB2 8PQ.
Lorraine DeardenCentre for Longitudinal Studies, Social Research Institute, University College London, London, WC1H 0NU.
Katie HarronUniversity College London Great Ormond Street Institute of Child Health, London, WC1N 1EH.
Tamsin FordDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
Bianca L De StavolaDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ.
HOPE study team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Schools 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. Objectives: To 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. Methods: Analyses 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. Results: Of 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. Discussion: Weak 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.

Indexed as

Children with DisabilitiesEducation, SpecialSchoolsChildChild, PreschoolDatabases, FactualEnglandFemaleHumansInfantInfant, NewbornMaleadministrative health datacausal inferencedisabilitylinked administrative data‘special education’

Identifiers

PMID41858404
PMCPMC12998597

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.