Longitudinal Analysis of Patterns and Predictors of Changes in Self-Reported Adherence to Antiretroviral Therapy: Swiss HIV Cohort Study

Publikation

Longitudinal Analysis of Patterns and Predictors of Changes in Self-Reported Adherence to Antiretroviral Therapy: Swiss HIV Cohort Study

Wissenschaftlicher Artikel/Review - 23.12.2009

Glass Tracy R, Bucher Heiner C, Günthard Huldrych F, Rickenbach Martin, Bernasconi Enos, Hirschel Bernard, Vernazza Pietro, Furrer Hansjakob, De Geest Sabina, Cavassini Matthias, Battegay Manuel, the Swiss HIV Cohort Study

Zitation

Glass T, Bucher H, Günthard H, Rickenbach M, Bernasconi E, Hirschel B, Vernazza P, Furrer H, De Geest S, Cavassini M, Battegay M, the Swiss HIV Cohort Study. Longitudinal Analysis of Patterns and Predictors of Changes in Self-Reported Adherence to Antiretroviral Therapy: Swiss HIV Cohort Study. Journal of acquired immune deficiency syndromes (1999) 2009

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

Journal of acquired immune deficiency syndromes (1999) 2009

Veröffentlichungsdatum

23.12.2009

eISSN (Online)

1944-7884

Kurzbeschreibung/Zielsetzung

BACKGROUND:: Adherence to combination antiretroviral therapy (cART) is a dynamic process, however, changes in adherence behavior over time are insufficiently understood. METHODS:: Data on self-reported missed doses of cART was collected every 6 months in Swiss HIV Cohort Study participants. We identified behavioral groups associated with specific cART adherence patterns using trajectory analyses. Repeated measures logistic regression identified predictors of changes in adherence between consecutive visits. RESULTS:: Six thousand seven hundred nine individuals completed 49,071 adherence questionnaires [median 8 (interquartile range: 5-10)] during a median follow-up time of 4.5 years (interquartile range: 2.4-5.1). Individuals were clustered into 4 adherence groups: good (51.8%), worsening (17.4%), improving (17.6%), and poor adherence (13.2%). Independent predictors of worsening adherence were younger age, basic education, loss of a roommate, starting intravenous drug use, increasing alcohol intake, depression, longer time with HIV, onset of lipodystrophy, and changing care provider. Independent predictors of improvements in adherence were regimen simplification, changing class of cART, less time on cART, and starting comedications. CONCLUSIONS:: Treatment, behavioral changes, and life events influence patterns of drug intake in HIV patients. Clinical care providers should routinely monitor factors related to worsening adherence and intervene early to reduce the risk of treatment failure and drug resistance.