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Updated: Jun 17, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Longitudinal analysis of patterns and predictors of changes in self-reported adherence to antiretroviral therapy:

Tracy R Glass1, Manuel Battegay, Matthias Cavassini

  • 1Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland. tglass@uhbs.ch

Journal of Acquired Immune Deficiency Syndromes (1999)
|December 26, 2009
PubMed

Insights

Understanding changes in combination antiretroviral therapy (cART) adherence is crucial for HIV management. Factors like age, lifestyle, and treatment changes impact adherence patterns over time.

Area of Science:

  • HIV/AIDS research
  • Pharmacology
  • Public Health

Background:

  • Adherence to combination antiretroviral therapy (cART) is vital for managing HIV.
  • Changes in adherence behavior over time are not fully understood.

Purpose of the Study:

  • To identify distinct adherence patterns in HIV patients on cART.
  • To determine predictors of worsening and improving adherence over time.

Main Methods:

  • Longitudinal study of Swiss HIV Cohort Study participants.
  • Trajectory analysis to identify adherence groups.
  • Logistic regression to identify predictors of adherence changes.

Main Results:

  • Four adherence groups identified: good, worsening, improving, and poor.
  • Younger age, substance use, depression, and life events predicted worsening adherence.
  • Regimen simplification and treatment changes predicted improved adherence.

Conclusions:

  • Treatment, behavioral, and life events significantly influence cART adherence.
  • Early monitoring and intervention for factors predicting worsening adherence are essential to prevent treatment failure and drug resistance.
Abstract

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