{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:55:42Z","timestamp":1787241342360,"version":"build-2736575974"},"reference-count":37,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["220211"],"award-info":[{"award-number":["220211"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ascpt.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["CPT Pharmacom &amp; Syst Pharma"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>We reported here on the development of a pharmacometric framework to assess patient adherence, by using two population\u2010based approaches \u2013 the percentile and the Bayesian method. Three different dosing strategies were investigated in patients prescribed a total of three doses; (1) non\u2010observed therapy, (2) directly observed administration of the first dose, and (3) directly observed administration of the first two doses. The percentile approach used population\u2010based simulations to derive optimal concentration percentile cutoff values from the distribution of simulated drug concentrations at a specific time. This was done for each adherence scenario and compared to full adherence. The Bayesian approach calculated the posterior probability of each adherence scenario at a given drug concentration. The predictive performance (i.e., Youden index, receiver operating characteristic [ROC] curve) of both approaches were highly influenced by sample collection time (early was better) and interindividual variability (smaller was better). The complexity of the structural model and the half\u2010life had a minimal impact on the predictive performance of these methods. The impact of the assay limitation (LOQ) on the predictive performance was relatively small if the fraction of LOQ data was less than 20%. Overall, the percentile method performed similar or better for adherence predictions compared to the Bayesian approach, with the latter showing slightly better results when investigating the adherence to the last dose only. The percentile approach showed acceptable adherence predictions (area under ROC curve\u2009&gt;\u20090.74) when sampling the antimalarial drugs piperaquine at day 7 postdose and lumefantrine at day 3 postdose (i.e., 12\u2009h after the last dose). This could be a highly useful approach when evaluating programmatic implementations of preventive and curative antimalarial treatment programs in endemic areas.<\/jats:p>","DOI":"10.1002\/psp4.13119","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T05:46:38Z","timestamp":1711431998000},"page":"795-811","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Medication adherence framework: A population\u2010based pharmacokinetic approach and its application in antimalarial treatment assessments"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6429-3178","authenticated-orcid":false,"given":"Junjie","family":"Ding","sequence":"first","affiliation":[{"name":"Mahidol Oxford Tropical Medicine Research Unit Mahidol University  Bangkok Thailand"},{"name":"Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine University of Oxford  Oxford UK"},{"name":"The WorldWide Antimalarial Resistance Network  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5322-912X","authenticated-orcid":false,"given":"Richard M.","family":"Hoglund","sequence":"additional","affiliation":[{"name":"Mahidol Oxford Tropical Medicine Research Unit Mahidol University  Bangkok Thailand"},{"name":"Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4566-4030","authenticated-orcid":false,"given":"Joel","family":"Tarning","sequence":"additional","affiliation":[{"name":"Mahidol Oxford Tropical Medicine Research Unit Mahidol University  Bangkok Thailand"},{"name":"Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine University of Oxford  Oxford UK"},{"name":"The WorldWide Antimalarial 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