Yale University

An analysis of electronically monitored adherence to antiretroviral medications.

TitleAn analysis of electronically monitored adherence to antiretroviral medications.
Publication TypeJournal Article
Year of Publication2010
AuthorsKnafl, George J., Carol A. Bova, Kristopher P. Fennie, Jean P. O'Malley, Kevin D. Dieckhaus, and Ann B. Williams
JournalAIDS and behavior
Date Published2010 Aug
KeywordsAntiviral Agents, Cluster Analysis, Drug Monitoring, Female, HIV Infections, Humans, Likelihood Functions, Male, Medication Adherence, Middle Aged, Monitoring, Physiologic, Poisson Distribution, ROC Curve, Viral Load, Young Adult
AbstractMedication adherence studies increasingly collect data electronically, often using Medication Event Monitoring System (MEMS) caps. Analyses typically focus on summary adherence measures, although more complete analyses are possible using adaptive statistical methods. These methods were used to describe individual-subject adherence patterns for MEMS data from a clinical trial. Subjects were adaptively clustered into groups with similar adherence patterns and clusters were compared on a variety of subject characteristics. There were seven different adherence clusters: consistently high, consistently moderately high, consistently moderate, consistently moderately low, consistently low, deteriorating starting early, and deteriorating late. Compared to other subjects, subjects with consistently high and consistently moderately high adherence were more likely to be male, White, and older and to maintain during study participation a CD4 cell count over 500 and an HIV viral load of at most 400 copies/ml. These results demonstrate the effectiveness of adaptive methods for comprehensive analysis of MEMS data.
Alternate JournalAIDS Behav

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