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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.v9i5.1680</article-id>
      <article-id pub-id-type="publisher-id">9:5:192</article-id>
      <title-group>
        <article-title>Prenatal and early life maternal substance use prevalence among Australian children born 2007-2018: a data linkage study using health, death, and child protection data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Powell</surname>
            <given-names initials="M">Madeleine</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pilkington</surname>
            <given-names initials="R">Rhiannon</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ahmed</surname>
            <given-names initials="T">Tasnia</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hanly</surname>
            <given-names initials="M">Mark</given-names>
          </name>
          <xref ref-type="aff" rid="affil-4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Newton</surname>
            <given-names initials="B">BJ</given-names>
          </name>
          <xref ref-type="aff" rid="affil-5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lynch</surname>
            <given-names initials="J">John</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
          <xref ref-type="aff" rid="affil-6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dobbins</surname>
            <given-names initials="T">Timothy</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Stewart</surname>
            <given-names initials="J">Jessica</given-names>
          </name>
          <xref ref-type="aff" rid="affil-7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cretikos</surname>
            <given-names initials="M">Michelle</given-names>
          </name>
          <xref ref-type="aff" rid="affil-8">8</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Havard</surname>
            <given-names initials="A">Alys</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kathleen</surname>
            <given-names initials="F">Falster</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>School of Population Health, University of New South Wales</institution></aff>
      <aff id="affil-2"><label>2</label><institution>National Drug and Alcohol Research Centre, University of New South Wales</institution></aff>
      <aff id="affil-3"><label>3</label><institution>School of Public Health, University of Adelaide</institution></aff>
      <aff id="affil-4"><label>4</label><institution>Centre for Big Data Research in Health, University of New South Wales</institution></aff>
      <aff id="affil-5"><label>5</label><institution>Social Policy Research Centre, University of New South Wales</institution></aff>
      <aff id="affil-6"><label>6</label><institution>Population Health Sciences, University of Bristol</institution></aff>
      <aff id="affil-7"><label>7</label><institution>Family and Community Services Insights, Analysis &amp; Research, Department of Communities and Justice, New South Wales Government</institution></aff>
      <aff id="affil-8"><label>8</label><institution>Centre for Epidemiology and Evidence, New South Wales Ministry of Health</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>1674</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/1674">This article is available from the IJPDS website at: https://ijpds.org/article/view/1674</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objective</title>
      <p>Quantify the scale and type of maternal substance use from conception to the child’s second birthday (First 1000 days) to inform screening and support services that may reduce associated harm or risk for children.</p>
    </sec>
    <sec>
      <title>Approach</title>
      <p>We used mother and child records from whole-population health, death, and child protection datasets to ascertain maternal substance use during the First 1000 days for children born in NSW, Australia, from 2008-2017. The primary outcome - maternal substance use - included use of illicit substances, alcohol, opioid-agonist treatment, organic compounds, solvents, and misuse of prescription medicines. ICD-10 and SNOMED-CT diagnosis codes were used.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The birth cohort included 970,470 children and 625,856 mothers. 32,000 children (3.4%) had a record of maternal substance use during the First 1000 days of life, including 13,647 (1.4%) with alcohol and 23,485 (2.4%) other drug use. Ascertainment was highest from child protection records (26,045 children), followed by mother’s (12,956 children) then children’s hospital records (3,826 children). 18,672 (1.9%) children had a record of carer substance use only in child protection records. Combining data increased the prevalence estimates; adding child protection records increased the prevalence estimate to 3.4%, compared with 1.2% in health and death records alone.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>More than 3 in every 100 Australian children had a record of maternal substance use in administrative data during the First 1000 days of life in this decade-long study. In addition to health and death data, child protection data offers public health insights into the scale of maternal substance use among whole-population cohorts of children.</p>
    </sec>
  </body>
</article>