{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T23:47:22Z","timestamp":1777074442187,"version":"3.51.4"},"reference-count":18,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2012,2,21]],"date-time":"2012-02-21T00:00:00Z","timestamp":1329782400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pediatric Transplantation"],"published-print":{"date-parts":[[2012,6]]},"abstract":"<jats:p>Pai ALH, Rausch J, Tackett A, Marsolo K, Drotar D, Goebel J. System for integrated adherence monitoring: Real\u2010time non\u2010adherence risk assessment in pediatric kidney transplantation.<\/jats:p><jats:p><jats:bold>Abstract:\u2002<\/jats:bold> This study reports initial results of the development of the SIAM, a non\u2010adherence risk assessment system for tacrolimus and sirolimus for the pediatric kidney transplant population. Forty\u2010eight youths between 10 and 25\u2003yr of age diagnosed with chronic kidney disease or a kidney transplant used an electronic pill bottle (EM; time stamps each bottle opening) to dispense their medication for at least 30\u2003days or until their next clinic appointment. Youth also completed a self\u2010report adherence measure, and standard deviations were calculated for the last four medication serum trough levels obtained for each patient. Estimation models were developed for each medication (i.e., SIAM<jats:sub>TACRO<\/jats:sub> and SIAM<jats:sub>SIRO<\/jats:sub>) to assign weights to these clinically available adherence measures (self\u2010report and trough levels) for the calculation of a non\u2010adherence risk composite score. SIAM<jats:sub>TACRO<\/jats:sub> models included both self\u2010report and tacrolimus trough levels and significantly predicted EM. For sirolimus, the model predictive of adherence as measured by EM consisted of the standard deviation of sirolimus trough levels only (SIAM<jats:sub>SIRO<\/jats:sub>). Non\u2010adherence risk can be effectively assessed using clinically available assessment tools. However, the best methods for using self\u2010report and trough levels to predict non\u2010adherence likely differ based on the medication for which adherence is being assessed.<\/jats:p>","DOI":"10.1111\/j.1399-3046.2012.01657.x","type":"journal-article","created":{"date-parts":[[2012,2,22]],"date-time":"2012-02-22T03:04:55Z","timestamp":1329879895000},"page":"329-334","source":"Crossref","is-referenced-by-count":32,"title":["System for integrated adherence monitoring: Real\u2010time non\u2010adherence risk assessment in pediatric kidney transplantation"],"prefix":"10.1111","volume":"16","author":[{"given":"Ahna L. 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