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Adherence to antiretroviral therapy (biomarker and self reported data) in East Zimbabwe.

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posted on 2016-11-30, 14:06 authored by Rebecca RheadRebecca Rhead, Collen Masimirembwa, Graham Cooke, Albert Takaruza, Constance Nyamukapa, Simon Gregson
This data is an accompaniment to the journal article 'Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?' (Rhead et al. 2016) Abstract: 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. 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. Data 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. Using this data, 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.

The Manicaland Centre is a major collaborative scientific HIV/STD Prevention research initiative that has been underway in rural areas of eastern Zimbabwe since the early 1990s. The principal collaborating institutions in the project are the Biomedical Research and Training Institute in Harare and Imperial College London. We also have joint research projects with people from the London School of Hygiene and Tropical Medicine and the University of Copenhagen. The Manicaland Project has one of the largest prospective population-based surveys in Africa. This has allowed us to uniquely track trends in the spread, impact and control of the epidemic in Zimbabwe. Using quantitative, qualitative and mathematical modelling methods to describe and interpret trends in the HIV epidemic in eastern Zimbabwe, the Project has contributed significantly to our understanding of the HIV epidemic in Africa.


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084401/Z/07/B

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