Medication adherence in children and adolescents with HIV infection: Associations with behavioral impairment

Department of Child and Adolescent Psychiatry, Children's Memorial Hospital, Chicago, Illinois 60614, USA.
AIDS patient care and STDs (Impact Factor: 3.5). 02/2011; 25(3):191-200. DOI: 10.1089/apc.2010.0181
Source: PubMed


The impact of behavioral functioning on medication adherence in children with perinatally acquired HIV infection is not well-explored, but has important implications for intervention. This report addresses the relationship between behavioral functioning and child self-report or caregiver report of medication adherence among children and adolescents enrolled in Pediatric AIDS Clinical Trials Group Protocol 219C (conducted 2000-2007). A total of 1134 participants, aged 3-17 years, received a behavioral evaluation and adherence assessment. Complete adherence was defined as taking 100% of prescribed antiretroviral medications during three days preceding the study visit. Multivariable logistic regression models were used to evaluate associations between adherence and behavioral functioning, adjusting for potential confounders, including demographic, psychosocial, and health factors. Children demonstrated higher than expected rates of behavioral impairment (≈7% expected with T > 65) in the areas of conduct problems (14%, z = 7.0, p < 0.001), learning problems (22%, z = 12.2, p < 0.001), somatic complaints (22%, z = 12.6, p < 0.001), impulsivity-hyperactivity (20%, z = 11.1, p < 0.001), and hyperactivity (19%, z = 10.6, p < 0.001). Children with behavioral impairment in one or more areas had significantly increased odds of nonadherence [adjusted odds ratio (aOR) = 1.49, p = 0.04]. The odds of nonadherence were significantly higher for those with conduct problems and general hyperactivity (aOR = 2.03, p = 0.005 and aOR = 1.68, p = 0.02, respectively). Psychosocial and health factors, such as recent stressful life events and higher HIV RNA levels, were also associated with nonadherence. Knowledge of behavioral, health, and social influences affecting the child and family should guide the development of appropriate, evidence-based interventions for medication adherence.

11 Reads
  • Source
    • "Common to all settings is the challenge of maintaining life-long adherence and access to increasingly expensive ART regimens. Adolescent adherence is particularly complex because of the socio-economic pressures related to orphanhood, neurocognitive deficits associated with chronic and severe HIV infection, and stigma and discrimination [5, 20–22]. In a US cohort of treatment-experienced adolescents, poor adherence and pre-existing resistance led to poor viral load responses despite regular access to the third- and fourth-line ARVs darunavir, raltegravir and etravirine [14]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The global paediatric HIV epidemic is shifting into a new phase as children on antiretroviral therapy (ART) move into adolescence and adulthood, and face new challenges of living with HIV. UNAIDS reports that 3.4 million children aged below 15 years and 2 million adolescents aged between 10 and 19 years have HIV. Although the vast majority of children were perinatally infected, older children are combined with behaviourally infected adolescents and youth in global reporting, making it difficult to keep track of their outcomes. Perinatally HIV-infected adolescents (PHIVA) are a highly unique patient sub-population, having been infected before development of their immune systems, been subject to suboptimal ART options and formulations, and now face transition from complete dependence on adult caregivers to becoming their own caregivers. As we are unable to track long-term complications and survival of PHIVA through national and global reporting systems, local and regional cohorts are the main sources for surveillance and research among PHIVA. This global review will utilize those data to highlight the epidemiology of PHIVA infection, treatment challenges and chronic disease risks. Unless mechanisms are created to count and separate out PHIVA outcomes, we will have few opportunities to characterize the negative consequences of life-long HIV infection in order to find ways to prevent them.
    Journal of the International AIDS Society 06/2013; 16(1):18555. DOI:10.7448/IAS.16.1.18555 · 5.09 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The Longitudinal Epidemiologic Study to Gain Insight into HIV/AIDS in Children and Youth (LEGACY) study is a prospective, multisite, longitudinal cohort of U.S. HIV-infected youth. This analysis was limited to perinatally HIV-infected youth (n=197), 13 years and older, with selected variables completely abstracted from HIV diagnosis through 2006. We evaluated relationships between ever having one or more nonsubstance related medically documented psychiatric diagnoses and three risky health behaviors (substance abuse, preadult sexual activity, and treatment adherence problems) recorded between 2001 and 2006. Logistic regression was used for all binary outcomes and participant age was included as a covariate when possible. All 197 participants included in the analysis were prescribed antiretroviral therapy during the study period; 110 (56%) were female, 100 (51%) were black non-Hispanic, and 86 (44%) were Hispanic; mean age at the last visit was 16.8 years, ranging from 13 to 24 years. One hundred forty-six (74%) participants had a history of at least one risky health behavior. There were 108 (55%) participants with at least one medically documented psychiatric diagnosis, 17 (9%) with at least one record of substance abuse, 12 (6%) with documented preadult sexual activity, and 142 (72%) participants with reported adherence problems. In the final model, a history of at least one psychiatric diagnosis was associated with having at least one of the three risky behaviors (odds ratio [OR]=2.33, p=0.015). There is a need for a continued close partnership between HIV specialty care providers and mental health services treating perinatally HIV-infected youth with an added focus on improving treatment adherence.
    AIDS patient care and STDs 08/2011; 25(8):493-501. DOI:10.1089/apc.2011.0107 · 3.50 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Medication adherence is critical to the success of antiretroviral therapies for children and youth with perinatally acquired HIV. Factors that influence successful transition of medication responsibility from caregivers to youth are poorly understood. The purpose of this study was to evaluate the relationship of medication adherence with demographic, cognitive, academic, and behavioral characteristics. Randomly selected youth, N = 151, aged 8 to 18 years, completed cognitive and academic measures, and they and their caregivers completed questionnaires assessing behavior and emotional well-being. An announced pill count and questionnaires completed by youth and their caregivers were used to evaluate adherence. Of 151 participants, 100 completed all adherence measures. Adherence rates varied by assessment method. Nonadherence (<90%) by pill count was associated with older child age, greater youth responsibility for medications, and other demographic and medication regimen variables. Verbal impairment predicted better self-reported adherence and reading problems predicted better self- and caregiver-reported adherence. Youth-reported locus of control was associated with pill count nonadherence, and poor relationships with parents were associated with youth-reported nonadherence. Consideration of youth cognitive or academic status may be helpful in evaluating medication adherence in patients with perinatally acquired HIV infection, particularly when using self- or caregiver reports to assess adherence. Vigilance for adherence problems is indicated when youth are older, responsible for medications, report poor caregiver relationships, and/or sense a lack of control over their lives.
    Journal of developmental and behavioral pediatrics: JDBP 02/2012; 33(4):298-308. DOI:10.1097/DBP.0b013e31824bef47 · 2.13 Impact Factor
Show more


11 Reads
Available from