<?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="research-article">
<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.v11i5.3535</article-id>
<article-id pub-id-type="publisher-id">11:5:3535</article-id>
<article-id pub-id-type="pii">S2399490821035357</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Perinatal Opioid Use: Improving Insights through Federated Analysis of Linked Administrative Data</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Camden</surname><given-names initials="A">Andi</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>K Brown</surname><given-names initials="H">Hilary</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Dragan</surname><given-names initials="R">Roxana</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Gomes</surname><given-names initials="T">Tara</given-names></name><xref ref-type="aff" rid="affil-4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>A Hutcheon</surname><given-names initials="J">Jennifer</given-names></name><xref ref-type="aff" rid="affil-5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Kelly</surname><given-names initials="L">Lauren</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Lu</surname><given-names initials="H">Hong</given-names></name><xref ref-type="aff" rid="affil-6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Metcalfe</surname><given-names initials="A">Amy</given-names></name><xref ref-type="aff" rid="affil-7"><sup>7</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Muhajarine</surname><given-names initials="N">Nazeem</given-names></name><xref ref-type="aff" rid="affil-8"><sup>8</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Nickel</surname><given-names initials="N">Nathan</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Edwin S.H. Leong Centre for Healthy Children, SickKids and University of Toronto, Toronto, Canada; ICES, Toronto, Canada</institution></aff>
<aff id="affil-2"><label>2</label><institution>University of Toronto, Toronto, Canada; ICES, Toronto, Canada</institution></aff>
<aff id="affil-3"><label>3</label><institution>University of Manitoba, Winnipeg, Canada</institution></aff>
<aff id="affil-4"><label>4</label><institution>Li Ka Shing Knowledge Institute, Unity Health, Toronto, Canada; ICES, Toronto, Canada</institution></aff>
<aff id="affil-5"><label>5</label><institution>Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada; BC Children’s Hospital Research Institute, Vancouver, Canada</institution></aff>
<aff id="affil-6"><label>6</label><institution>ICES, Toronto, Canada</institution></aff>
<aff id="affil-7"><label>7</label><institution>University of Calgary, Calgary, Canada</institution></aff>
<aff id="affil-8"><label>8</label><institution>University of Saskatchewan, Saskatoon, Canada</institution></aff>
</contrib-group>
<pub-date date-type="pub" publication-format="electronic"><day></day><month></month><year></year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year></year></pub-date>
<volume>11</volume>
<issue>5</issue>
<elocation-id>3535</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/3535">This article is available from the IJPDS website at: https://ijpds.org/article/view/3535</self-uri>
<abstract>
<sec>
<title>Objectives</title>
<p>Linked administrative data from 5 Canadian provinces were harmonized for the Canadian Perinatal Opioid Project, a nationally funded project. Using these data, we estimated opioid prescribing patterns during/after pregnancy at the national level and conducted cross-provincial comparisons.</p>
</sec>
<sec>
<title>Approach</title>
<p>This population-based cohort study used linked administrative health records from Alberta, British Columbia, Manitoba, Ontario, and Saskatchewan. Included were all pregnancies to individuals aged 12-50 years, 2013-2023. Opioid use and prescribing patterns (type, duration, dose, timing) were measured from conception through to 1-year after the end of pregnancy. We conducted federated and province-specific analyses to produce pan-Canadian estimates of perinatal opioid use. Poisson models analyzed trends in perinatal opioid use and generated adjusted relative risks (aRR) of perinatal opioid use by socio-demographic and clinical factors. This research is being conducted in collaboration with people with lived/living experience.</p>
</sec>
<sec>
<title>Results</title>
<p>Data from Alberta Health Services/Alberta Health, PopDataBC, Manitoba Centre for Health Policy, ICES, and Health Research Data Platform-Saskatchewan were harmonized. Federated data analyses are underway and will be completed by May 2026. We anticipate  3.2 million pregnancies (325,000 pregnancies/year). Preliminary analyses from Ontario show the prevalence of prenatal opioid exposure is 4.1% based on 1.6 million pregnancies.</p>
</sec>
<sec>
<title>Conclusions/Implications</title>
<p>Improving health system data access through multi-regional research using harmonized administrative data addresses important knowledge gaps and will generate the first pan-Canadian estimates of perinatal opioid use. This information is needed to inform prevention efforts, harm reduction, and tailored interventions for people who use opioids during/after pregnancy.</p>
</sec>
</abstract>
</article-meta>
</front>
</article>