Wood, M.L., Gunning, L., Relins, S. et al. (4 more authors) (2024) Potential for England’s statutory school entry assessment to identify special educational needs and reveal structural inequalities: a population-based study. Archives of Disease in Childhood, 109 (1). pp. 52-57. ISSN 0003-9888
Abstract
Objective To 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.
Method Analysis 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.
Results 32 515 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).
Conclusions School 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Oct 2023 12:02 |
Last Modified: | 19 Nov 2024 14:48 |
Status: | Published |
Publisher: | BMJ |
Identification Number: | 10.1136/archdischild-2023-325590 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203383 |