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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.v10i3.3217</article-id>
      <article-id pub-id-type="publisher-id">10:3:180</article-id>
      <title-group>
        <article-title>Travel, Work, and Well-being: Examining the Commuting Habits of Nurses in
          England &amp; Wales</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Jamieson</surname>
            <given-names initials="M">Michelle</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>Atherton</surname>
            <given-names initials="I">Iain</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Scottish Center for Administrative Data
        Research, Edinburgh, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Edinburgh Napier University, Edinburgh, 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>3217</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/3217">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3217</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>To assess the distance nurses in England and Wales lived from their place of work at point
        of the 2021 census. This will assess the degree to which their geographical proximity to
        work may have implications for their own wellbeing and that of their patients.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>Analyzing census microdata, the dataset used represents a 5% sample of the population of
        England and Wales. The key outcome of interest was straight-line distance from home to place
        of work. This will be used to assess the extent to which nurses, who will largely be working
        shifts, are able to live within reasonable proximity to the hospital, clinic or practice
        where they are based. Descriptive statistics will be calculated to assess the extent to
        which socio-demographic characteristics are associated with longer commutes. A matched
        comparison will be used to assess the extent to which nurses travel compares to the general
        population.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Findings will be presented describing distance resided from workplace for nurses and for
        the matched comparison group and the extent to which being employed in nursing is associated
        with disproportionate commuter burdens. This is especially important given that most nurses
        work shifts with potentially fewer travel options. Tables will be presented that describe
        the socio-demographic composition of both, and the extent to which characteristics are
        associated with distances travelled. Maps will highlight the extent of geographical
        variation. Statistical models will then be presented that explore commutes and drivers
        associated with home-work proximity. These will ascertain the main drivers of workplace
        commuting distance for both the nursing workforce and matched counterparts from the general
        working population.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Findings will be discussed with focus on policy relevance, specifically implications for
        cost of living, quality of life, and potential implications for nurses’ own health, their
        ability to care, and workforce retention. These are key concerns regarding local and
        national housing policies.</p>
    </sec>
  </body>
</article>