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Pharmacy fill profiles provided data for estimating adherence to therapy.
This method of electronically compiled drug dosing histories is considered to be the most reliable and the most detailed approach for estimating adherence to medication in ambulatory patients.
Despite these limitations, administrative claims data remain a reliable and well-accepted source for estimating adherence with chronic-use medications by using validated measures, such as the MPR [ 18, 19, 29, 30].
As there is no gold standard for estimating adherence using drug dispensing records, we will use several methods described by Krousel-Wood et al, 35 including: (1) medication possession ratio (MPR), (2) continuous measure of medication gap (CMG) and (3) continuous single interval medication availability (CSA).
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Treating clinicians seem to be at risk for inaccurately estimating adherence, either because they are unaware of their patient's poor intake behavior or simply underestimate it [ 35- 37].
Information from the month 3 and 4 reports was used to estimate adherence for this study.
Our estimated adherence rates for ARBs were vastly greater than those for IS medications, which is consistent with prior reports [ 9, 13- 16].
This study estimated adherence levels, investigated determinants for ART adherence and explored barriers and facilitators of adherence among children and teenagers in rural Tanzania.
Specifically, the model first estimated adherence at the patient level adjusting for patient characteristics known to impact adherence such as race and the presence of comorbid depression.
Multiple measures of adherence were used to estimate adherence behavior, and all suggest adherence is in the range needed for treatment success.
To estimate adherence, we calculated the total number of days that the patient was late for the drug-refill visits divided by the total duration on ART.
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