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  dtd-version="1.2" article-type="abstract">
  <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.v10i3.3074</article-id>
      <article-id pub-id-type="publisher-id">10:3:58</article-id>
      <title-group>
        <article-title>The impact of early special educational needs provision on unauthorised
          absences during primary education for children with Cerebral Palsy</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Nguyen</surname>
            <given-names initials="V">Vincent</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lewis</surname>
            <given-names initials="K">Kate</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Aparicio</surname>
            <given-names initials="A">Andrea</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</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">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dearden</surname>
            <given-names initials="L">Lorraine</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Stavola</surname>
            <given-names initials="B">Bianca De</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>UCL Great Ormond Street Institute of Child
        Health, London, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3074</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3074">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3074</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Without accounting for Special Education Needs (SEN) requirements, prior evidence
        demonstrates SEN provision increases school absences. Our objective was to estimate the
        impact of SEN provision in Year 1 (age 5/6 years) on unauthorised absences during primary
        education in a population with SEN needs, those with Cerebral Palsy.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>Using linked hospital and school data from England, we accounted for group imbalances by
        defining a cohort of children born between 2003 and 2013 with recorded Cerebral Palsy,
        excluding those with other major congenital anomalies. Using target trial emulation, we
        defined the target population aligning exposure and follow-up at Year 1. Using health and
        education data, we assessed the propensity overlap for three groups of exposure: No
        Provision, “SEN Support” and “Statemented SEN”. We estimated the average treatment effect
        (ATE) of these interventions on cumulative unauthorised absence rates by the end of primary
        education (age 10/11) using inverse probability weighting.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>We found 4659 children, 769 with No Provision, 2172 with SEN Support and 1718 with
        Statemented SEN. We could not compare No Provision versus Statemented SEN due of lack of
        propensity overlap. When comparing SEN Support in reference to No Provision, we found a
        similar rate of unauthorised absences in the two groups with a marginal incident rate ratio
        (IRR) of 0.91 [95% Confidence Interval (CI): 0.54 – 1.36]. When comparing Statemented SEN in
        reference to SEN provision, the former led to a reduction in unauthorised absences by the
        end of primary education, IRR 0.80 [95%CI: 0.66 – 0.98]. We confirmed our results using
        regression adjustment.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Through administrative data linkage, we created a well-defined cohort which was expected to
        have similar need for SEN provision. Through use of a target trial emulation framework, we
        reduced bias when creating the study population, and demonstrated that certain SEN
        categories would comparatively reduce unauthorised absence rates using IPW.</p>
    </sec>
  </body>
</article>