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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v11i5.3560</article-id>
<article-id pub-id-type="publisher-id">11:5:3560</article-id>
<article-id pub-id-type="pii">S2399490821035606</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The impact of Mainstream versus Specialist secondary school placement on health and education outcomes for pupils with neurodisability in England: A target trial emulation study using the ECHILD database</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Shumway</surname><given-names initials="J">Julia</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>De Stavola</surname><given-names initials="B">Bianca</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Ellis</surname><given-names initials="J">Jill</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Gilbert</surname><given-names initials="R">Ruth</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Nguyen</surname><given-names initials="V">Vincent</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Totsika</surname><given-names initials="V">Vaso</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zylbersztejn</surname><given-names initials="A">Ania</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Institute of Child Health University College London, London, United Kingdom</institution></aff>
<aff id="affil-2"><label>2</label><institution>East London NHS Foundation Trust, London, United Kingdom</institution></aff>
<aff id="affil-3"><label>3</label><institution>Division of Pyschiatry, London, United Kingdom; Tavistock &amp; Portman NHS Foundation Trust, London, United Kingdom</institution></aff>
</contrib-group>
<pub-date date-type="pub" publication-format="electronic"><day></day><month></month><year></year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year></year></pub-date>
<volume>11</volume>
<issue>5</issue>
<elocation-id>3560</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/3560">This article is available from the IJPDS website at: https://ijpds.org/article/view/3560</self-uri>
<abstract>
<sec>
<title>Introduction</title>
<p>UK policymakers have proposed supporting more children with neurodisability in Mainstream rather than Specialist secondary schools, despite little evidence on which schools provide better support.</p>
</sec>
<sec>
<title>Methods</title>
<p>We aim to apply a target trial emulation (TTE) approach to linked health and education data from ECHILD to understand the causal impact of Mainstream versus Specialist secondary school (Year 7 [Y7], age 12) on health (hospitalisations) and education (absences) outcomes for pupils with neurodisability in England. We followed cohorts attending Mainstream Year 6 (baseline) between 2008 and 2017 with four categories of neurodisability: Down syndrome (DS), cerebral palsy (CP), autism, and learning disability (LD). We evaluated requisite assumptions for conducting causal analyses using a TTE approach by estimating propensity scores (PS) based on baseline health, education, and sociodemographic characteristics.</p>
</sec>
<sec>
<title>Results</title>
<p>Cohorts included 43,535 pupils (DS: n = 1,984; CP: n = 3,694; autism: n = 27,451; LD: n = 10,406). The proportions in Mainstream Y7 were respectively 43%, 80%, 74%, and 60%. For all cohorts, those in Specialist Y7 had higher levels of health complexity, absences, and deprivation. We found common support for each cohort, with highest support between pupils with DS in Mainstream (mean PS: 0.62, standard deviation [SD]: 0.14) and Specialist Y7 (mean PS: 0.52, SD: 0.15).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The estimated PS distributions suggest that causal inference will be a viable approach. We will apply PS-based methods to adjust for non-randomised school placement (inverse probability weighting [IPW], augmented IPW, and g-computation) and estimate the causal effect of Mainstream versus Specialist secondary school placement on outcomes for pupils with neurodisability.</p>
</sec>
</abstract>
</article-meta>
</front>
</article>