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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.v10i3.3180</article-id>
      <article-id pub-id-type="publisher-id">10:3:150</article-id>
      <title-group>
        <article-title>Investigating the Impact of Family Drug and Alcohol Courts on Parental
          Reunification and Offending: A Data Linkage Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Alrouh</surname>
            <given-names initials="B">Bachar</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Harwin</surname>
            <given-names initials="J">Judith</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hargreaves</surname>
            <given-names initials="C">Claire</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Humphreys</surname>
            <given-names initials="L">Leslie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barlow</surname>
            <given-names initials="C">Charlotte</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Lancaster University, Lancaster, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>University of Central Lancashire, Preston,
        United Kingdom</institution></aff>
      <pub-date>
        <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>3180</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/3180">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3180</self-uri>
    </article-meta>
  </front>
  <body>
    <p>Family Drug and Alcohol Courts (FDACs) are a type of problem-solving court, which uniquely
      both treat parental problems and adjudicate. This study investigates whether FDACs improve
      family reunification rates and their sustainability compared to ordinary care proceedings, and
      reduce parental offending. This presentation will evaluate the feasibility of linking
      administrative datasets from FDAC, Cafcass, and the Police National Computer (PNC) to create a
      novel cross-justice linked data asset.</p>
    <p>In this ESRC-funded study, we have successfully linked individual-level records from FDAC
      case files, Cafcass and the PNC, creating a longitudinal dataset of approximately 6,500
      parents. Deterministic and probabilistic linkage techniques ensured accurate matching while
      minimising linkage error. Linkage quality was assessed through match rates, data completeness,
      and variable consistency. The final dataset enables longitudinal analysis of reunification
      rates and their sustainability (measured by recurrence of care proceedings), followed by
      parental offending trajectories. Data quality assessments explore challenges and best
      practices in linking justice and family court records.</p>
    <p>The data linkage process was conducted in several stages. First, person and case identifiers
      were collected from FDAC case files and successfully linked to Cafcass records. Matching
      criteria based on demographic and case characteristics were then established, and the matched
      comparison group was selected from ordinary care proceedings, ensuring comparability with the
      FDAC sample. Finally, the combined FDAC and comparison cohorts were linked to the Police
      National Computer (PNC) to obtain offending histories. Linkage success rates were high across
      all stages, with minimal missing data. These results demonstrate the feasibility of
      integrating sensitive administrative datasets, highlighting best practices in cross-sector
      record linkage and establishing a foundation for future research on justice and family court
      interventions.</p>
    <p>This study demonstrates the feasibility and value of linking administrative data to evaluate
      FDACs’ impact on family reunification and parental offending. By integrating justice and
      family court records, it establishes a framework for future research, informing evidence-based
      policy decisions on problem-solving courts and their role in promoting family stability and
      reducing reoffending.</p>
  </body>
</article>