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Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?

BACKGROUND: 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 bioma...

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Autores principales: Rhead, Rebecca, Masimirembwa, Collen, Cooke, Graham, Takaruza, Albert, Nyamukapa, Constance, Mutsimhi, Cosmas, Gregson, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156419/
https://www.ncbi.nlm.nih.gov/pubmed/27973550
http://dx.doi.org/10.1371/journal.pone.0167852
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author Rhead, Rebecca
Masimirembwa, Collen
Cooke, Graham
Takaruza, Albert
Nyamukapa, Constance
Mutsimhi, Cosmas
Gregson, Simon
author_facet Rhead, Rebecca
Masimirembwa, Collen
Cooke, Graham
Takaruza, Albert
Nyamukapa, Constance
Mutsimhi, Cosmas
Gregson, Simon
author_sort Rhead, Rebecca
collection PubMed
description BACKGROUND: 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. METHODS: 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. 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. RESULTS: 94.3% (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. CONCLUSION: 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 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.
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spelling pubmed-51564192016-12-28 Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data? Rhead, Rebecca Masimirembwa, Collen Cooke, Graham Takaruza, Albert Nyamukapa, Constance Mutsimhi, Cosmas Gregson, Simon PLoS One Research Article BACKGROUND: 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. METHODS: 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. 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. RESULTS: 94.3% (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. CONCLUSION: 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 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. Public Library of Science 2016-12-14 /pmc/articles/PMC5156419/ /pubmed/27973550 http://dx.doi.org/10.1371/journal.pone.0167852 Text en © 2016 Rhead et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rhead, Rebecca
Masimirembwa, Collen
Cooke, Graham
Takaruza, Albert
Nyamukapa, Constance
Mutsimhi, Cosmas
Gregson, Simon
Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title_full Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title_fullStr Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title_full_unstemmed Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title_short Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?
title_sort might art adherence estimates be improved by combining biomarker and self-report data?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156419/
https://www.ncbi.nlm.nih.gov/pubmed/27973550
http://dx.doi.org/10.1371/journal.pone.0167852
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