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Published on: March 30, 2014
Multiple measures reveal antiretroviral adherence successes and challenges in HIV-infected Ugandan children
Jessica E Haberer1, Julius Kiwanuka, Denis Nansera
1Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States of America. jhaberer@partners.org
Insights
Adherence to pediatric HIV antiretroviral therapy (ART) in Uganda was measured using multiple methods. Caregiver factors like alcohol use and depression significantly impacted adherence, highlighting the need for targeted interventions.
Area of Science:
- Pediatric infectious diseases
- Public health
- HIV/AIDS research
Background:
- Adherence to antiretroviral therapy (ART) in children in developing countries is not well understood.
- Understanding adherence is crucial for effective HIV management in pediatric populations.
Purpose of the Study:
- To determine the level, distribution, and correlates of ART adherence in Ugandan children.
- To identify factors influencing adherence and their relationship with virologic outcomes.
Main Methods:
- Prospective study of 121 Ugandan children (aged 2-10 years) over one year.
- Monthly ART adherence measured by three-day recall, visual analog scale, pill count/liquid weights, and MEMS.
- Six-monthly HIV RNA levels assessed.
Main Results:
- High adherence reported across methods, but Medication Event Monitors (MEMS) showed significant adherence interruptions (57.0%).
- Detectable HIV RNA at one year was observed in 36.3% of children.
- Caregiver alcohol use, child hospitalization, and liquid formulation use were associated with lower MEMS adherence. Caregiver ART use, depression, and shame were protective.
Conclusions:
- Successful pediatric ART adherence relies on established routines, caregiver support, and education.
- Caregiver mental health and socioeconomic factors influence adherence.
- Further research into these factors is vital for developing effective adherence interventions.
Background:
Adherence to HIV antiretroviral therapy (ART) among children in developing settings is poorly understood.
Methodology/Principal Findings:
To understand the level, distribution, and correlates of ART adherence behavior, we prospectively determined monthly ART adherence through multiple measures and six-monthly HIV RNA levels among 121 Ugandan children aged 2-10 years for one year. Median adherence levels were 100% by three-day recall, 97.4% by 30-day visual analog scale, 97.3% by unannounced pill count/liquid formulation weights, and 96.3% by medication event monitors (MEMS). Interruptions in MEMS adherence of ≥ 48 hours were seen in 57.0% of children; 36.3% had detectable HIV RNA at one year. Only MEMS correlated significantly with HIV RNA levels (r = -0.25, p = 0.04). Multivariable regression found the following to be associated with <90% MEMS adherence: hospitalization of child (adjusted odds ratio [AOR] 3.0, 95% confidence interval [CI] 1.6-5.5; p = 0.001), liquid formulation use (AOR 1.4, 95%CI 1.0-2.0; p = 0.04), and caregiver's alcohol use (AOR 3.1, 95%CI 1.8-5.2; p<0.0001). Child's use of co-trimoxazole (AOR 0.5, 95%CI 0.4-0.9; p = 0.009), caregiver's use of ART (AOR 0.6, 95%CI 0.4-0.9; p = 0.03), possible caregiver depression (AOR 0.6, 95%CI 0.4-0.8; p = 0.001), and caregiver feeling ashamed of child's HIV status (AOR 0.5, 95%CI 0.3-0.6; p<0.0001) were protective against <90% MEMS adherence. Change in drug manufacturer (AOR 4.1, 95%CI 1.5-11.5; p = 0.009) and caregiver's alcohol use (AOR 5.5, 95%CI 2.8-10.7; p<0.0001) were associated with ≥ 48-hour interruptions by MEMS, while second-line ART (AOR 0.3, 95%CI 0.1-0.99; p = 0.049) and increasing assets (AOR 0.7, 95%CI 0.6-0.9; p = 0.0007) were protective against these interruptions.
Conclusions/Significance:
Adherence success depends on a well-established medication taking routine, including caregiver support and adequate education on medication changes. Caregiver-reported depression and shame may reflect fear of poor outcomes, functioning as motivation for the child to adhere. Further research is needed to better understand and build on these key influential factors for adherence intervention development.
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