{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T09:58:57Z","timestamp":1782554337156,"version":"3.54.5"},"reference-count":17,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To compare the accuracy of pharmaceutical claims with medication administration chart data for individuals in long\u2010term care facilities (LTCFs).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Secondary analyses of a prospective cohort study (<jats:italic>n<\/jats:italic>\u2009=\u2009279 residents, 5 LTCFs) were conducted. Details of medications charted for regular administration at study enrollment were extracted from administration charts and coded using Anatomical Therapeutic Chemical (ATC) classification codes. Pharmaceutical claims for government\u2010subsidized medications dispensed in the 0\u201330, 0\u201360, 0\u201390, 0\u2013120, and 0\u2013180\u2009days before study enrollment were compared to medication chart data (reference standard). Sensitivity, specificity, and positive predictive value (PPV) and 95% CIs were determined at the 3\u2010 and 7\u2010digit ATC levels.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>149 (53.4% of total) residents with both medication chart and claims data available were included. The proportion of PPVs \u2265\u200975% for 3\u2010digit ATC level medications was 89.4% and 86.1% using exposure windows of 30 and 180\u2010days for claims, respectively. Using a 120\u2010day exposure window for claims, sensitivity was highest for diabetes agents, beta\u2010blocking agents, calcium channel blockers, agents acting on the renin\u2010angiotensin system, anti\u2010Parkinson drugs, psychoanaleptics, and airways disease agents (all \u2265\u200990%) and was lowest for vitamins (1.4%, 95% CI 0\u20137.7) and mineral supplements (10.3%, 95% CI 2.9\u201324.2). Specificity was \u2265\u200985% for all 3\u2010digit level medications within each exposure window other than antibacterials and analgesics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Pharmaceutical claims data has good accuracy for determining prescription medication exposure in LTCFs. Exposure windows of 90\u2010120\u2010days are generally sufficient for determining exposure although longer periods may be required for large pack sizes.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.70065","type":"journal-article","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T06:19:56Z","timestamp":1732688396000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Validity of Pharmaceutical Claims Data for Determining Medication Exposure in Long\u2010Term Care Facilities"],"prefix":"10.1002","volume":"33","author":[{"given":"Emma","family":"Pearce","sequence":"first","affiliation":[{"name":"University of South Australia, UniSA Clinical &amp; Health Sciences  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geraint","family":"Rogers","sequence":"additional","affiliation":[{"name":"South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"The SAHMRI Microbiome Research Laboratory, School of Medicine Flinders University  Bedford Park Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucy","family":"Carpenter","sequence":"additional","affiliation":[{"name":"South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"The SAHMRI Microbiome Research Laboratory, School of Medicine Flinders University  Bedford Park Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria C.","family":"Inacio","sequence":"additional","affiliation":[{"name":"Registry of Senior Australians (ROSA) South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"University of South Australia, UniSA Allied Health and Human Performance  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gillian E.","family":"Caughey","sequence":"additional","affiliation":[{"name":"Registry of Senior Australians (ROSA) South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"University of South Australia, UniSA Allied Health and Human Performance  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Shoubridge","sequence":"additional","affiliation":[{"name":"South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"The SAHMRI Microbiome Research Laboratory, School of Medicine Flinders University  Bedford Park Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lito","family":"Papanicolas","sequence":"additional","affiliation":[{"name":"South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"The SAHMRI Microbiome Research Laboratory, School of Medicine Flinders University  Bedford Park Australia"},{"name":"Microbiology and Infectious Diseases Directorate, SA Pathology  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9059-5209","authenticated-orcid":false,"given":"Janet K.","family":"Sluggett","sequence":"additional","affiliation":[{"name":"Registry of Senior Australians (ROSA) South Australian Health and Medical Research Institute  Adelaide Australia"},{"name":"University of South Australia, UniSA Allied Health and Human Performance  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,11,26]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.23889\/ijpds.v6i1.1418"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jamda.2015.03.003"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sapharm.2020.11.003"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.4706"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0895\u20104356(00)00282\u20101"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12877\u2010023\u201004215\u20103"},{"key":"e_1_2_10_8_1","unstructured":"World Health Organization Collaborating \u201cCentre for Drug Statistics Methodology. 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