Evidence map›Paper›PMID 41867194›Full record

ArticlemedRxiv : the preprint server for health sciences2026

"Using the ECHILD Database to Explore Educational and Health Outcomes of Unaccompanied Asylum-Seeking Children living in England (2005 - 2021)".

Rebecca Langella, Pia Hardelid, Kate Marie Lewis

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

3 authors.

Rebecca LangellaPopulation, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, 30 Guilford Street, WC1N 1DP, London, UK.ORCID 0009-0001-5125-2908
Pia HardelidPopulation, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, 30 Guilford Street, WC1N 1DP, London, UK.ORCID 0000-0002-0154-1306
Kate Marie LewisPopulation, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, 30 Guilford Street, WC1N 1DP, London, UK.ORCID 0000-0003-1148-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

UK-based quantitative research on the health and education outcomes of Unaccompanied Asylum-Seeking Children (UASC) remains limited, especially at national level. Linked administrative data provide an unprecedented opportunity to study these outcomes among UASC. This paper lays a foundation for further research, particularly examining the influence of socio-demographic, legal and environmental factors on UASC's health and educational outcomes. We described the UASC population with a first recorded episode of local authority care between 1st April 2005 and 31st March 2021 in ECHILD, which gathers national records for England, by age, gender, ethnicity, region, and placement type. We calculated linkage rates between the social care and educational dataset, estimating how many UASC were recorded as being enrolled in state-funded schools. We also assessed how many of those linked to the school dataset was linked to National Health Service (NHS) datasets. Finally, we explored how linkage rates between social care, education, and NHS datasets vary by sociodemographic factors and placement type. There were 37,170 UASC recorded in the ECHILD of which 32,570 (88%) were male and 24,290 (65%) aged 16 - 17 years. We found 7,740 (21%) UASC recorded as being enrolled in state funded schools, of whom 6,690 (88%) were also linked to NHS data. The linkage rate for UASC in the social care to health datasets was therefore 19%. Of those 16-17 years at entry in social care, 4% (1,060/24,290) were recorded as enrolled in school compared to 50% (6,390/12,880) under 16 years. Linkage to the school, and subsequently to the NHS dataset, wholly depends on enrolled state-funded education, excluding College and Sixth-form education. Despite this limitation, we characterised a national cohort of 6,890 UASC in England whose social care, education, and health outcomes can be examined.

Identifiers

PMID41867194
PMCPMC13004076

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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.