BACKGROUND: People living in poverty face multiple structural challenges to medication adherence including lack of transportation, inadequate housing and food insecurity. The degree to which individuals' motivations to remain adherent may overcome structural barriers has received limited attention. PURPOSE: To examine whether medication necessity and concerns beliefs predict antiretroviral therapy (ART) adherence over and above structural adherence barriers associated with poverty. METHODS: People living with HIV in a southern US city (N = 942) completed computerised interviews, an objective measure of adherence and HIV viral suppression obtained from medical records. Hierarchical logistic regression models were constructed to examine demographic and illness characteristics, structural barriers, mental health, substance use and medication necessity and concerns beliefs as predictors of ART adherence. RESULTS: In multivariable models, current drug use and medication necessity and concerns beliefs predicted treatment adherence over and above demographic, health, mental health and structural factors. CONCLUSIONS: Medication beliefs are proximal and powerful motivating factors that predict adherence. Adherence interventions should directly address medication beliefs in developing strategies to manage barriers facing people with HIV living in poverty.
BACKGROUND:People living in poverty face multiple structural challenges to medication adherence including lack of transportation, inadequate housing and food insecurity. The degree to which individuals' motivations to remain adherent may overcome structural barriers has received limited attention. PURPOSE: To examine whether medication necessity and concerns beliefs predict antiretroviral therapy (ART) adherence over and above structural adherence barriers associated with poverty. METHODS:People living with HIV in a southern US city (N = 942) completed computerised interviews, an objective measure of adherence and HIV viral suppression obtained from medical records. Hierarchical logistic regression models were constructed to examine demographic and illness characteristics, structural barriers, mental health, substance use and medication necessity and concerns beliefs as predictors of ART adherence. RESULTS: In multivariable models, current drug use and medication necessity and concerns beliefs predicted treatment adherence over and above demographic, health, mental health and structural factors. CONCLUSIONS: Medication beliefs are proximal and powerful motivating factors that predict adherence. Adherence interventions should directly address medication beliefs in developing strategies to manage barriers facing people with HIV living in poverty.
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