Evidence map›Paper›PMID 37827813›Full record

ArticleArchives of disease in childhood2023

Potential for England's statutory school entry assessment to identify special educational needs and reveal structural inequalities: a population-based study.

Megan L Wood, Lydia Gunning, Sam Relins, Kuldeep Sohal, John Wright, Mark Mon-Williams, Amy L Atkinson

Abstract read
In one paragraph

Article in Archives of disease in childhood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Megan L WoodSchool of Psychology, University of Leeds, Leeds, UK m.l.wood@leeds.ac.uk.ORCID 0000-0003-1882-2355
Lydia GunningBradford Institute for Health Research, Bradford, UK.
Sam RelinsBradford Institute for Health Research, Bradford, UK.
Kuldeep SohalBradford Institute for Health Research, Bradford, UK.
John WrightBradford Institute for Health Research, Bradford, UK.
Mark Mon-WilliamsSchool of Psychology, University of Leeds, Leeds, UK.
Amy L AtkinsonDepartment of Psychology, Lancaster University, Lancaster, UK.

Funding

Medical Research Council MR/V004905/1Medical Research Council MR/W014416/1
6 · The paper itself

Abstract

objectiveTo investigate at a population level whether England's universal assessment of 'school readiness' is associated with later identification of special educational needs (SEN). Also, whether ethnic differences exist in SEN identification (white British versus ethnic minority) and whether this varies as a function of school readiness.

methodAnalysis included 53 229 individuals aged 5-12 years from the Connected Bradford Database (2012/2013-2019/2020). Logistic regression analyses examined: (1) whether reaching a 'good level of development' on England's 'school readiness' assessment was associated with later SEN identification; and (2) whether interactions exist between school readiness and ethnicity.

results32 515 of 53 229 children reached a good level of development, of which 3036 (9.3%) were identified as having SEN. In contrast, 10 171 of 20 714 (49.1%) of children who did not reach a good level of development were later identified as having SEN. Children not reaching a good level of development had increased odds of being later identified as having SEN after controlling for covariates (OR: 8.50, 95% CI: 8.10 to 8.91). In children who did not reach a good level of development, white British children had higher odds of being identified as having SEN compared with ethnic minority peers (OR: 1.22, 95% CI: 1.11 to 1.34). No ethnic differences of having SEN were observed in children reaching a good level of development (OR: 1.04, 95% CI: 0.93 to 1.16).

conclusionsSchool readiness assessments are associated with later SEN identification. Structural inequalities may exist in SEN identification in children not entering formal education 'school ready'. Such assessments could facilitate earlier identification of SEN and reduce structural inequalities in its identification.

Indexed as

Education, SpecialEthnicityChildEnglandHumansMinority GroupsSchoolsChild DevelopmentChild HealthMental healthPsychology

Identifiers

PMID37827813
PMCPMC10804042

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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.