Evidence map›Paper›PMID 35255340›Full record

ArticleChild abuse & neglect2022

Evaluation of pushing out of children from all English state schools: Administrative data cohort study of children receiving social care and their peers.

Matthew A Jay, Louise Mc Grath-Lone, Bianca De Stavola, Ruth Gilbert

Abstract read
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Article in Child abuse & neglect, 2022. 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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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

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Matthew A JayUCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom. Electronic address: matthew.jay.15@ucl.ac.uk.
Louise Mc Grath-LoneUCL Institute of Health Informatics, 222 Euston Road, London NW1 2DA, United Kingdom.
Bianca De StavolaUCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom.
Ruth GilbertUCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom; UCL Institute of Health Informatics, 222 Euston Road, London NW1 2DA, United Kingdom.

Funding

Department of HealthMedical Research Council
6 · The paper itself

Abstract

backgroundPushing out (off-rolling) occurs where pupils are illegally excluded from school. Those receiving children's social care (CSC) services (children in need (CiN), on child protection plans (CPPs) or looked after (CLA)) are thought to be at increased risk, but limited evidence inhibits understanding of this phenomenon. The extent of pushing out can be inferred from non-enrolment in administrative data.

objectiveTo estimate proportions of children not enrolled across secondary school (aged 11-16, up to year 11) and to explore the association between CSC history and non-enrolment in year 10/11. PARTICIPANTS AND

setting>1 M pupils in year 7 (aged 11/12) in English state schools, 2011/12 and 2012/13.

methodsWe estimated the proportion of children not enrolled across years 8 to 11, disaggregated by CSC history. We assessed with regression modelling the association between CSC history and non-enrolment in years 10/11.

resultsOf children without CSC history, 3.8% had ≥1 year not enrolled by year 11. This was higher in those with a history CiN (8.1%), CPP (9.4%) or CLA (10.4%) status. The odds of non-enrolment in years 10/11 were higher among those with CLA history vs non-exposed peers (OR 4.76, 95% CI 4.49-5.05) as well as in those with CPP history (3.60, 3.39-3.81) and CiN history (2.53, 2.49-2.58). History of special educational needs further increased non-enrolment odds, including after confounder adjustment.

conclusionsFindings imply that children with CSC history are more likely to be pushed out from school than children without, especially those with special educational needs.

Indexed as

SchoolsSocial SupportAdolescentChildCohort StudiesHumansPeer GroupAdministrative dataChildren in needChildren's social careOff-rollingPushing outSpecial educational needs

Identifiers

PMID35255340
PMCPMC9077441

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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.