Document Type

Article

Disciplines

Medicine and Health Sciences

Abstract

Medication 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.

Comments

AIDS Behav. Author manuscript; available in PMC 2011 August 12. Published in final edited form as: AIDS Behav. 2010 August; 14(4): 755–768. Published online 2008 December 24. doi: 10.1007/s10461-008-9512-z PMCID: PMC3155184 NIHMSID: NIHMS313283

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