Ira B Wilson1, David R Bangsberg, Jie Shen, Jane M Simoni, Nancy R Reynolds, Kathy Goggin, Robert Gross, Julia H Arnsten, Robert H Remien, Judith A Erlen, Honghu Liu. 1. *Department of Health Services, Policy & Practice, Brown University School of Public Health, Brown University, Providence, RI; †Massachusetts General Hospital, Center for Global Health; Ragon Institute of MGH, MIT, and Harvard; Harvard Medical School, Boston, MA; ‡Division of Public Health & Community Dentistry, University of California at Los Angeles School of Dentistry, University of California at Los Angeles, Los Angeles, CA; §Department of Psychology, University of Washington, Seattle, WA; ‖School of Nursing, Yale University, New Haven, CT; ¶Division of Health Services and Outcomes Research, Children's Mercy Hospital and Clinics, University of Missouri - Kansas City, Kansas City, MO; #Department of Medicine (Infectious Diseases), Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; **Department of Medicine, Albert Einstein College of Medicine, Montifiore Hospital, Bronx, NY; ††Department of Psychiatry, Columbia University, New York City, NY; and ‡‡Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA.
Abstract
OBJECTIVE: To use electronic drug monitoring to determine if adherence to HIV antiretroviral therapy (ART) changes over time, whether changes are linear, and how the declines vary by study. DESIGN: We conducted a longitudinal study of pooled data from 11 different studies of HIV-infected adults using ART. The main outcome was ART adherence (percent of prescribed doses taken) measured by electronic drug monitoring. We modeled and compared changes in adherence over time using repeated measures linear mixed effects models and generalized additive mixed models (GAMMs). Indicator variables were used to examine the impact of individual studies, and the variation across studies was evaluated using study-specific parameter estimates calculated by using interaction terms of study and time. RESULTS: The mean age of the subjects was 41 years, 35% were female, most had high school education or less, and 46% were African American. In GAMMs, adherence declined over time. The GAMMs further suggested that the decline was nonlinear, and in both sets of models, there was considerable study-to-study variability in how adherence changed over time. LIMITATIONS: Findings may not be generalizable to non-US populations or to patients not in clinical studies. CONCLUSIONS: Although overall ART adherence declined with time, not all studies showed declines, and a number of patterns of change were seen. Studies that identify clinical and organizational factors associated with these different patterns are needed. Models of changes in adherence with time should take account of possible nonlinear effects.
OBJECTIVE: To use electronic drug monitoring to determine if adherence to HIV antiretroviral therapy (ART) changes over time, whether changes are linear, and how the declines vary by study. DESIGN: We conducted a longitudinal study of pooled data from 11 different studies of HIV-infected adults using ART. The main outcome was ART adherence (percent of prescribed doses taken) measured by electronic drug monitoring. We modeled and compared changes in adherence over time using repeated measures linear mixed effects models and generalized additive mixed models (GAMMs). Indicator variables were used to examine the impact of individual studies, and the variation across studies was evaluated using study-specific parameter estimates calculated by using interaction terms of study and time. RESULTS: The mean age of the subjects was 41 years, 35% were female, most had high school education or less, and 46% were African American. In GAMMs, adherence declined over time. The GAMMs further suggested that the decline was nonlinear, and in both sets of models, there was considerable study-to-study variability in how adherence changed over time. LIMITATIONS: Findings may not be generalizable to non-US populations or to patients not in clinical studies. CONCLUSIONS: Although overall ART adherence declined with time, not all studies showed declines, and a number of patterns of change were seen. Studies that identify clinical and organizational factors associated with these different patterns are needed. Models of changes in adherence with time should take account of possible nonlinear effects.
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