Abstract

BackgroundAs we endeavour to examine rates of viral suppression in PLHIV, reliable data on ART adherence are needed to distinguish between the respective contributions of poor adherence and treatment failure on high viral load. Self-reported data are susceptible to response bias and although biomarker data on drug presence and concentration can provide a superior, alternative method of measurement, complications due to drug-drug interactions and genetic variations can cause some inaccuracies. We investigate the feasibility of combining both biomarker and self-report data to produce a potentially more accurate measure of ART adherence.MethodsData were taken from a large general-population survey in the Manicaland province, Zimbabwe, conducted in 2009–2011. HIV-infected adults who had initiated ART (N = 560) provided self-report data on adherence and dried blood spot samples that were analysed for traces of ART medication. A new three-category measure of ART adherence was constructed, based on biomarker data but using self-report data to adjust for cases with abnormally low and high drug concentrations due to possible drug-drug interactions and genetic factors, and was assessed for plausibility using survey data on socio-demographic correlates.Results94.3% (528/560) and 92.7% (519/560) of the sample reported faithful adherence to their medication and had traces of ART medication, respectively. The combined measure estimated good evidence of ART adherence at 69% and excellent evidence of adherence at 53%. The regression analysis results showed plausible patterns of ART adherence by socio-demographic status with men and younger participants being more likely to adhere poorly to medication, and higher socio-economic status individuals and those living in more urban locations being more likely to adhere well.ConclusionBiomarker and self-reported measures of adherence can be combined in a meaningful way to produce a potentially more accurate measure of ART adherence. Results indicate that ART adherence in Manicaland is at best 69%, which not only allows for considerable room for improvement but also suggests that the area may be falling short of the UNAIDS’ 90% target regarding viral suppression. Increased efforts are needed to improve ART adherence particularly amongst the young male population in rural areas of east Zimbabwe.

Highlights

  • As we endeavour to examine rates of viral suppression in people living with HIV (PLHIV), reliable data on antiretroviral therapy (ART) adherence are needed to distinguish between the respective contributions of poor adherence and treatment failure on high viral load

  • Biomarker and self-reported measures of adherence can be combined in a meaningful way to produce a potentially more accurate measure of ART adherence

  • Results indicate that ART adherence in Manicaland is at best 69%, which allows for considerable room for improvement and suggests that the area may be falling short of the UNAIDS’ 90% target regarding viral suppression

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Summary

Introduction

There is concern that people living with HIV (PLHIV) in sub-Saharan African, many of whom live in poverty and lack formal education, may have suboptimal adherence to HIV antiretroviral therapy (ART) [1,2,3,4]. Treatment failure can occur unrelatedly to adherence as a result of drug related problems such as drug resistance, poor absorption of medications, inadequate dosing, and drug-drug interactions. Reliable data on ART adherence are needed to distinguish between the respective contributions of poor adherence and treatment failure on high viral load. In order to achieve the last 90% target, it is important to identify those who continue to have detectable viral load despite receiving ART, and to determine whether viral suppression has failed as a result of poor adherence, or other drug related problems. As we endeavour to examine rates of viral suppression in PLHIV, reliable data on ART adherence are needed to distinguish between the respective contributions of poor adherence and treatment failure on high viral load. We investigate the feasibility of combining both biomarker and self-report data to produce a potentially more accurate measure of ART adherence

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