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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.v11i5.3546</article-id>
<article-id pub-id-type="publisher-id">11:5:3546</article-id>
<article-id pub-id-type="pii">S2399490821035461</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Cross-Country Comparison of Medication Adherence After Stroke Using Standardised Methods: A Pilot Distributed Network Analysis for INSPIRE-STROKE</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>L. Dalli</surname><given-names initials="L">Lachlan</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>F. Kilkenny</surname><given-names initials="M">Monique</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Chu</surname><given-names initials="A">Anna</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Ilomaki</surname><given-names initials="J">Jenni</given-names></name><xref ref-type="aff" rid="affil-4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>A. Jackevicius</surname><given-names initials="C">Cynthia</given-names></name><xref ref-type="aff" rid="affil-5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>K. Kapral</surname><given-names initials="M">Moira</given-names></name><xref ref-type="aff" rid="affil-6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>V. Vyas</surname><given-names initials="M">Manav</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>T. Olaiya</surname><given-names initials="M">Muideen</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>A. Cadilhac</surname><given-names initials="D">Dominique</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>C. Livori</surname><given-names initials="A">Adam</given-names></name><xref ref-type="aff" rid="affil-7"><sup>7</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia</institution></aff>
<aff id="affil-2"><label>2</label><institution>Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia; Stroke and Critical Care Research Theme, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia</institution></aff>
<aff id="affil-3"><label>3</label><institution>ICES, Toronto, Ontario, Canada</institution></aff>
<aff id="affil-4"><label>4</label><institution>Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia</institution></aff>
<aff id="affil-5"><label>5</label><institution>ICES, Toronto, Ontario, Canada; College of Pharmacy, Western University of Health Sciences, Pomona, USA; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada</institution></aff>
<aff id="affil-6"><label>6</label><institution>ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Medicine (General Internal Medicine), University of Toronto, Toronto, Ontario, Canada</institution></aff>
<aff id="affil-7"><label>7</label><institution>Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia; Pharmacy Department, Grampians Health, Ballarat, Victoria, Australia; Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia</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>3546</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/3546">This article is available from the IJPDS website at: https://ijpds.org/article/view/3546</self-uri>
<abstract>
<sec>
<title>Background</title>
<p>Post-stroke medication adherence can be assessed using dispensing data; however, variations in methods hinder reliable comparisons across regions. We developed and implemented standardised methods to compare post-stroke medication adherence between countries.</p>
</sec>
<sec>
<title>Methods</title>
<p>Australia and Canada, with population-based data and universal healthcare systems, were selected for this INSPIRE-STROKE proof-of-concept distributed network analysis (<uri>www.inspire-stroke.bigdatacvd.com</uri>). Metadata were shared to harmonise data variables and structure. Patients admitted with incident ischaemic stroke and atrial fibrillation (Victoria, Australia [July 2014–June 2017]; Ontario, Canada; [July 2014–March 2022]), aged 66–105 years, who survived ≥90 days post-discharge were included. The proportion of days covered (PDC) of direct oral anticoagulants (DOACs) was measured from initiation to 1-year post-discharge. Adherence was measured in 8 simulations, using standardised code, to adjust for different PDC measurement parameters from the TEN-SPIDERS framework (<uri>www.tenspiders.adherencelab.com</uri>). Aggregated outputs were compared between countries.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 2471 Australians (50% female; 36% aged 85+ years) and 16622 Canadians (51% female; 34% aged 85+ years), 50% and 65% initiated a DOAC within 90 days post-stroke, respectively. Among initiators, median 1-year DOAC PDC was 86.8% (interquartile range [IQR]: 75.9%–92.6%) in Australia vs 96.2% (IQR: 89.6%–98.6%) in Canada. Adjustment for pre-supply, early refills, and switching increased median PDC by +10.3% in Australia and +3.5% in Canada. Further adjustment for in-hospital stays had negligible impacts on PDC in both countries.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Standardised methods were successfully implemented to facilitate cross-country comparisons of post-stroke medication adherence. Use of standardised methods in other countries will enable reliable global surveillance of post-stroke medication adherence.</p>
</sec>
</abstract>
</article-meta>
</front>
</article>