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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.v10i3.3099</article-id>
      <article-id pub-id-type="publisher-id">10:4:80</article-id>
      <title-group>
        <article-title>Exploring cancer inequalities in Wales through linked health and
          administrative data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Chiovoloni</surname>
            <given-names initials="R">Roberta</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bedston</surname>
            <given-names initials="S">Stuart</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Abbasizanjani</surname>
            <given-names initials="H">Hoda</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Antoniou</surname>
            <given-names initials="A">Antonis</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gordon</surname>
            <given-names initials="E">Emma</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Akbari</surname>
            <given-names initials="A">Ashley</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Population Data Science, Faculty of Medicine,
        Swansea University Medical School, Swansea, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Centre for Cancer Genetic Epidemiology,
        Department of Public Health and Primary Care, University of Cambridge, Cambridge, United
        Kingdom</institution></aff>
      <aff id="affil-3"><label>3</label><institution>Director, ADR UK (Economic &amp; Social
        Research Council), Swindon, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>31</day>
        <month>07</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>3099</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/3099">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3099</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>We aimed to conduct a proof-of-concept study assessing the feasibility of linking
        population-scale health and administrative data, including the ONS 2021 Census, within the
        Secure Anonymised Information Linkage (SAIL) Databank. Using curated cohort data, we
        demonstrate how linkage enables the evaluation of patterns in breast and bowel cancer
        screening uptake incidence.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We assessed the temporal coverage and scale of demographic, primary care, secondary care,
        and cancer service data from 2000 to 2024. After reviewing the availability of individual
        records, cancer diagnoses, and screening data, we evaluated the impact of narrowing
        inclusion criteria and linking multiple population-scale data sources to define an optimal
        study window (2018–2023). We created a general population cohort and sub-cohorts of
        individuals screened or diagnosed with breast or bowel cancer. We compared specific
        sociodemographic characteristics extracted from ONS 2021 Census data for these cohorts to
        identify sociodemographic patterns in cancer screening participation and diagnosis.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>A total of 2.6 million individuals (80% of the Welsh population) responded to the ONS 2021
        Census and had linked data available within SAIL. Annual cancer diagnoses ranged from
        2,400-3,050 for breast cancer and 2,300–2,800 for bowel cancer. Screening data showed high
        coverage, with invitations issued closely matching the estimated eligible population. On
        average, 70-75% of individuals invited for breast cancer screening attended, compared to
        50-67% for bowel cancer screening.</p>
      <p>Sociodemographic analysis revealed lower screening participation among individuals from
        more deprived areas (14% most deprived vs 23% least deprived), those with lower educational
        attainment, non-White ethnic groups, non-English speakers, single individuals, and those
        with poor health or disabilities. However, while no statistical comparisons were performed,
        cancer diagnosis appeared similar across sociodemographic groups.</p>
    </sec>
    <sec>
      <title>Conclusions</title>
      <p>We demonstrated the feasibility and value of linking multiple data sources, particularly
        the ONS 2021 Census. Through this new linkage opportunity within SAIL, we established study
        cohorts, identified cancer disparities and provided insights for understanding inequalities
        in cancer screening participation and outcomes, <bold>informing future research and public
        health evaluation opportunities.</bold></p>
    </sec>
  </body>
</article>