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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.v10i4.3043</article-id>
      <article-id pub-id-type="publisher-id">10:3:34</article-id>
      <title-group>
        <article-title>Identifying causes of death among people experiencing homelessness: Definitions and data-sources matter</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Mason-Jones</surname>
            <given-names initials="A">Amanda</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>University of York, York, 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>3043</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/3043">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3043</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>This study aims to create a cohort that includes maternal mental health, emergency department utilisation during pregnancy, and child health and development outcomes. However, to do this, it will be necessary to assess the usability of the ECHILD linkage 'spines' for answering such research questions.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>A cohort with one row per individual (mother and baby) for birth year 2012/3 will be created by linking health and educational records over a 12-year period using the ECHILD-MB and the Pupil Matching Reference. These will include the Minimum Mental Health Dataset (MMHDS), Hospital Episode Statistic for Admitted Patient Care (HES-APC), Emergency Department attendance and admission (HES-A&amp;E), School Census, Early Years Census and Key Stage 1 (KS1).  This will include social-demographic data, health care utilisation, diagnostic groups for any hospital attendance and admission, and outcomes and educational outcomes for the child from the National Pupil Database.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The process of data linkage and challenges and opportunities that other researchers can learn from, will be presented.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Mothers’ mental health and utilisation of emergency services during pregnancy has been linked to their child’s health and increased utilisation of those services in the first year of life.  (1), ECHILD offers to extend this to the whole of England and to include the impact on the child’s educational outcomes.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref-1"><label>1</label><mixed-citation publication-type="journal">
        <string-name><surname>Mason-Jones</surname> <given-names>AJ</given-names></string-name>, <string-name><surname>Beltrán</surname> <given-names>L</given-names></string-name>, <string-name><surname>Keding</surname> <given-names>A</given-names></string-name>, <string-name><surname>Berry</surname> <given-names>V</given-names></string-name>, <string-name><surname>Blower</surname> <given-names>SL</given-names></string-name>, <string-name><surname>Whittaker</surname> <given-names>K</given-names></string-name>, <string-name><surname>Bywater</surname> <given-names>T</given-names></string-name>. <article-title>Predictors of Mother and Infant Emergency Department Attendance and Admission: A Prospective Observational Study</article-title>. <source>Maternal and child health journal</source>. <year>2023</year>; <volume>27</volume>:<fpage>527</fpage>-<lpage>37</lpage>.
      </mixed-citation></ref>
    </ref-list>
  </back>
</article>