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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.v10i3.3132</article-id>
      <article-id pub-id-type="publisher-id">10:3:112</article-id>
      <title-group>
        <article-title>Antenatal Exposure to Ambient Fine Particulate Matter Pollution and Amoxicillin Dispensing in Infants: National Birth Cohort Study in Scotland</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Cannings-John</surname>
            <given-names initials="R">Rebecca</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sanders</surname>
            <given-names initials="J">Julia</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barlow</surname>
            <given-names initials="C">Christy</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Brocklehurst</surname>
            <given-names initials="P">Peter</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Channon</surname>
            <given-names initials="S">Sue</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cutter</surname>
            <given-names initials="J">Judith</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hunter</surname>
            <given-names initials="B">Billie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jokinen</surname>
            <given-names initials="M">Mervi</given-names>
          </name>
          <xref ref-type="aff" rid="affil-4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lugg-Widger</surname>
            <given-names initials="F">Fiona</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Milosevic</surname>
            <given-names initials="S">Sarah</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gale</surname>
            <given-names initials="C">Chris</given-names>
          </name>
          <xref ref-type="aff" rid="affil-5">5</xref>
          <xref ref-type="aff" rid="affil-6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Milton</surname>
            <given-names initials="R">Rebecca</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Morantz</surname>
            <given-names initials="L">Leah</given-names>
          </name>
          <xref ref-type="aff" rid="affil-7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Paranjothy</surname>
            <given-names initials="S">Shantini</given-names>
          </name>
          <xref ref-type="aff" rid="affil-8">8</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Robling</surname>
            <given-names initials="M">Michael</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Plachcinski</surname>
            <given-names initials="R">Rachel</given-names>
          </name>
          <xref ref-type="aff" rid="affil-9">9</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Cardiff University, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Birmingham Clinical Trials Unit, Birmingham, United Kingdom</institution></aff>
      <aff id="affil-3"><label>3</label><institution>Cardiff and Vale University Health Board, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-4"><label>4</label><institution>Royal College of Midwives, London, United Kingdom</institution></aff>
      <aff id="affil-5"><label>5</label><institution>Imperial College London, London, United Kingdom</institution></aff>
      <aff id="affil-6"><label>6</label><institution>Chelsea and Westminster NHS Foundation Trust, London, United Kingdom</institution></aff>
      <aff id="affil-7"><label>7</label><institution>Public and Patient Representative, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-8"><label>8</label><institution>University of Aberdeen, Aberdeen, United Kingdom</institution></aff>
      <aff id="affil-9"><label>9</label><institution>Patient and Public involvement Representative, Cardiff, 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>3132</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/3132">This article is available from the IJPDS website at: https://ijpds.org/article/view/3132</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>The POOL study was commissioned to evaluate the safety of waterbirth in the UK using routine maternity and neonatal clinical data. We will describe the design, set-up and pilot for this data linkage study, as well as sharing challenges and successes from the process, and headline results.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>This study used the novel method of amending an existing clinical maternity database (Euroking® Maternity Information System) for the purpose of collecting additional research data fields. In combination with the extraction of existing data fields, this maximised the potential use of existing routinely collected clinical data for research purposes, whilst reducing NHS staff data collection burden. Extracted data from UK NHS sites were transferred for matching with the National Neonatal Research Database (NNRD) to ascertain outcomes for babies. Non-inferiority regression analysis was used to establish whether waterbirth was as safe for mothers and babies as leaving the water before birth.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>A total of 869,744 birth records were received from 26 NHS sites in England and Wales, between January 2015 and June 2022. For the pilot, 24,000 records were extracted from one site. Data completeness for maternal and neonatal primary outcomes were acceptable. Neonatal identifiers flowed to the NNRD for successful matching, resulting in neonatal records for 6.5% of pool users. Rates of the maternal outcomes (obstetric anal sphincter injury) and the composite adverse outcome among babies were no higher among waterbirths compared with births out of water (Nulliparous women: waterbirth 4.8% vs births out of water 5.3%; adjusted odds ratio 0.97, one-sided 95% confidence interval −∞ to 1.08); Parous women: 1.1% vs 1.7%; 0.64,  −∞ to 0.78; Neonates: 2.7% vs 4.4%; 0.65, −∞ to 0.79).</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Amending existing NHS information systems and accessing data at scale is possible, but is time consuming and technically challenging. Among women using water immersion during labour, remaining in the pool and birthing in water was not associated with an increase in the incidence of adverse primary maternal or neonatal outcomes.</p>
    </sec>
  </body>
</article>