{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:37:54Z","timestamp":1769848674205,"version":"3.49.0"},"reference-count":0,"publisher":"S. Karger AG","license":[{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neuroepidemiology"],"abstract":"<jats:p>Background and Purpose: Cultural and language barriers may affect quality of care, such as adherence to medications. We examined whether adherence to prevention medications within the year after stroke\/transient ischemic attack (TIA) differed by region of birth.\nMethods: An observational study of adults with stroke\/TIA admitted to hospitals in the Australian Stroke Clinical Registry (Queensland, Victoria; 2012-2016; n=45 hospitals), with linked administrative data. Region of birth was categorized into 10 groups (Australia, Other Oceania, North-West Europe, Southern\/Eastern Europe, North Africa\/Middle East, South-East Asia, North-East Asia, Southern\/Central Asia, Americas, Sub-Saharan Africa). Analysis was limited to those with a first-ever stroke\/TIA who were dispensed an antihypertensive, lipid-lowering, or antithrombotic medication within 1-year post-discharge. Medication adherence was calculated based on the proportion of days covered until 1 year immediately post-discharge\/death. Associations between region of birth and being adherent (PDC \u226580%) was determined using multivariable logistic regression (adjusted for age, sex, stroke type, ability to walk on admission, discharge destination, socioeconomic position, main language spoken, comorbidity score). \nResults: Among 24,236 eligible participants (median age 74 years, 44% female, 68% Australian-born), 54% were adherent to antihypertensive medications, 56% to lipid-lowering medications, and 49% to antithrombotic medications. Compared to Australian-born participants, those born in Other Oceania (4.0%) were less likely to be adherent to lipid-lowering medications (OR 0.78, 95% CI 0.67-0.90) and antithrombotic (OR 0.84, 95% CI 0.72-0.97). Compared to Australian-born participants, those born in Southern and Central Asia (1.4%) were less likely to be adherent to lipid-lowering medications (odds ratio [OR]: 0.76, 95% CI 0.58-0.99) and antithrombotic (0.55, 95% CI 0.40-0.76). No significant differences were found with other regions.\nConclusions: Disparities by the region of birth were observed in medication adherence after stroke\/TIA for participants born in Asia and Oceania. Targeted education to improve medication adherence, specific to the needs of these groups, is warranted.\n\n<\/jats:p>","DOI":"10.1159\/000543317","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T17:00:41Z","timestamp":1736355641000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Region of Birth Differences in Medication Adherence Among Patients with Stroke or Transient Ischemic Attack"],"prefix":"10.1159","author":[{"given":"Monique F.","family":"Kilkenny","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lachlan L.","family":"Dalli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadine E.","family":"Andrew","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Ung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joosup","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vijaya","family":"Sundararajan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique A.","family":"Cadilhac","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amanda G.","family":"Thrift","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark R.","family":"Nelson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muideen T.","family":"Olaiya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"on behalf of the PRECISE investigators","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"127","published-online":{"date-parts":[[2025,1,8]]},"container-title":["Neuroepidemiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/karger.com\/ned\/article-pdf\/doi\/10.1159\/000543317\/4320762\/000543317.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/karger.com\/ned\/article-pdf\/doi\/10.1159\/000543317\/4320762\/000543317.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T15:07:55Z","timestamp":1745420875000},"score":1,"resource":{"primary":{"URL":"https:\/\/karger.com\/article\/doi\/10.1159\/000543317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1159\/000543317","archive":["Portico"],"relation":{"is-supplemented-by":[{"id-type":"doi","id":"10.6084\/m9.figshare.28139819","asserted-by":"subject"}]},"ISSN":["0251-5350","1423-0208"],"issn-type":[{"value":"0251-5350","type":"print"},{"value":"1423-0208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,8]]}}}