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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.v9i5.2739</article-id>
      <article-id pub-id-type="publisher-id">9:5:250</article-id>
      <title-group>
        <article-title>Profiling births via Caesarean delivery in Northern Ireland (2011-2019) using the Robson classification: a population-based cohort study using administrative maternity system data.</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>McBride</surname>
            <given-names initials="O">Orla</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Redican</surname>
            <given-names initials="E">Enya</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Murphy</surname>
            <given-names initials="J">Jamie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Ulster University</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>18</day>
        <month>09</month>
        <year>2024</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2024</year>
      </pub-date>
      <volume>9</volume>
      <issue>5</issue>
      <elocation-id>2739</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/2739">This article is available from the IJPDS website at: https://ijpds.org/article/view/2739</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objective and Approach</title>
      <p>Caesarean delivery (CD) rates are increasing globally. Over one-third of babies born in Northern Ireland (NI) during 2021-22 were via CD. Reducing the CD rate was cited as an important public health priority in the Strategy for Maternity Care in Northern Ireland (2012-2018). In 2015, WHO advocated that the Robson Ten Group Classification System (TGCS) be used to audit, analyse, and compare CD rates across countries. TGCS is currently not implemented in NI.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Analysis of NI’s administrative maternity system (NIMATS) is on-going (accessed via Honest Broker Service Project P045) to address this study’s objectives, which will be completed for presentation: (1) describe the characteristics (maternal, obstetric practice, and fetal/infant features) of all deliveries during 2011-2019; (2) group all births over this period into TGCS categories and calculate the relative size of each group and the absolute contribution of each group to the overall CD rate; (3) compare the NI population distribution of TGCS group-specific CD rates against WHO-recommended benchmarks; (4) test for temporal trends in CD rates here over time; and (5) estimate the ability of a range of maternal, infant, and obstetric factors in predicting the overall CD rate and by TGCS group in NI over time.</p>
    </sec>
    <sec>
      <title>Conclusions</title>
      <p>Application of the Robson TGCS to NIMATS data has potential to address a critical knowledge gap relating to the use of CD in NI.</p>
    </sec>
    <sec>
      <title>Implications</title>
      <p>Avenues to extend this work to investigate longer-term outcomes (via possible linkage to the NI Child Health System) will be considered.</p>
    </sec>
  </body>
</article>