<?xml version="1.0"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "JATS-journalpublishing1.dtd" [
]>
<article xml:lang="en" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML"
  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.v10i3.3273</article-id>
      <article-id pub-id-type="publisher-id">10:3:239</article-id>
      <title-group>
        <article-title>Leveraging administrative data for public health responses to child
          maltreatment in Europe: Insights from a scoping review of studies across multiple sectors</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>O'Leary</surname>
            <given-names initials="D">Donna</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>Græsholt-Knudsen</surname>
            <given-names initials="A">Troels</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lätsch</surname>
            <given-names initials="D">David</given-names>
          </name>
          <xref ref-type="aff" rid="affil-4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lamela</surname>
            <given-names initials="D">Diogo</given-names>
          </name>
          <xref ref-type="aff" rid="affil-5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nevriana</surname>
            <given-names initials="A">Alicia</given-names>
          </name>
          <xref ref-type="aff" rid="affil-6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nurmatov</surname>
            <given-names initials="U">Ulugbek</given-names>
          </name>
          <xref ref-type="aff" rid="affil-7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Quantin</surname>
            <given-names initials="C">Catherine</given-names>
          </name>
          <xref ref-type="aff" rid="affil-8">8</xref>
          <xref ref-type="aff" rid="affil-9">9</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bailey</surname>
            <given-names initials="G">Grace</given-names>
          </name>
          <xref ref-type="aff" rid="affil-10">10</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Griffiths</surname>
            <given-names initials="L">Lucy</given-names>
          </name>
          <xref ref-type="aff" rid="affil-10">10</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Broadhurst</surname>
            <given-names initials="K">Karen</given-names>
          </name>
          <xref ref-type="aff" rid="affil-11">11</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cowley</surname>
            <given-names initials="L">Laura Elizabeth</given-names>
          </name>
          <xref ref-type="aff" rid="affil-7">7</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Tusla Child and Family Agency, Cork, Ireland</institution></aff>
      <aff id="affil-2"><label>2</label><institution>University College Cork, Cork, Ireland</institution></aff>
      <aff id="affil-3"><label>3</label><institution>Aarhus University, Aarhus, Denmark</institution></aff>
      <aff id="affil-4"><label>4</label><institution>Zurich University of Applied Sciences, Zurich,
        Switzerland</institution></aff>
      <aff id="affil-5"><label>5</label><institution>Lusófona University, Lisboa, Portugal</institution></aff>
      <aff id="affil-6"><label>6</label><institution>Unit of Integrative Epidemiology, Institute of
        Environmental Medicine, Karolinska Institutet, Stockholm, Sweden</institution></aff>
      <aff id="affil-7"><label>7</label><institution>Cardiff University, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-8"><label>8</label><institution>Dijon University Hospital, Dijon, France</institution></aff>
      <aff id="affil-9"><label>9</label><institution>University Paris-Saclay, Paris, France</institution></aff>
      <aff id="affil-10"><label>10</label><institution>Swansea University Medical School, Swansea,
        United Kingdom</institution></aff>
      <aff id="affil-11"><label>11</label><institution>Lancaster University, Lancaster, 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>3273</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/3273">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3273</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Analysis of administrative data has the potential to assist in the public health response
        to child maltreatment (CM). We conducted a scoping review to identify European studies
        (2010–2024) that used individual-level administrative data to study (CM).</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We searched eight electronic databases in November 2023 for studies analyzing national or
        regional administrative datasets or linking multiple datasets. There were no restrictions on
        language, study design or sector. A grey literature search was added in October 2024.</p>
      <p>Two independent reviewers confirmed inclusion eligibility, with a third resolving
        discrepancies. Of 1,730 studies identified, 237 full texts were reviewed and 173 were
        included.</p>
      <p>Four team members extracted data using a customized form. Data were summarized to present
        preliminary findings on the geographical scope of studies, data sources, populations and CM
        types studied, methodologies used, data accessibility and availability.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The majority of studies were conducted in England (71; 40%), followed by Wales (26; 14%)
        and Denmark (20; 11%). Nineteen studies were multi-country, with no studies from Eastern or
        Southern Europe, representing a gap in the literature.</p>
      <p>Most studies focused on a single sector (n=131; 76%) while others linked data from multiple
        sectors. Most studies explored children exposed to any CM (139; 81%), others explored
        physical abuse (n=17), adversity (n=3), medical diagnosis of abuse (n=1), specific
        combinations of abuse (n=3) and violence (1).</p>
      <p>Studies included Data Resource Profiles (n=16) and primary studies using a range of
        methodologies including cohort, cross-sectional and longitudinal study designs. The number
        of studies increased from 2010 to 2024, peaking in 2022. Few studies reported complete data
        access and governance information.</p>
    </sec>
    <sec>
      <title>Conclusions</title>
      <p>The benefits of administrative data for studying CM are seen in the range of studies
        identified across sectors and countries. The geographical scope of the studies indicates
        opportunities for further advancement including potential investment in data curation and
        infrastructure.</p>
    </sec>
  </body>
</article>