Evidence map›Paper›PMID 27973550›Full record

ArticlePloS one2016

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

Rebecca Rhead, Collen Masimirembwa, Graham Cooke, Albert Takaruza, Constance Nyamukapa, Cosmas Mutsimhi, Simon Gregson

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rebecca RheadImperial College London, Department of Infectious Disease Epidemiology, London, United Kingdom.
Collen MasimirembwaAfrican Institute of Biomedical Research and Technology, Harare, Zimbabwe.
Graham CookeImperial College London, Department of Medicine, London, United Kingdom.
Albert TakaruzaBiomedical Research and Training Institute, Harare, Zimbabwe.
Constance NyamukapaBiomedical Research and Training Institute, Harare, Zimbabwe.
Cosmas MutsimhiAfrican Institute of Biomedical Research and Technology, Harare, Zimbabwe.
Simon GregsonImperial College London, Department of Infectious Disease Epidemiology, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

Drug MonitoringAdolescentAdultAgedAnti-HIV AgentsBiomarkersDrug InteractionsFemaleGenetic VariationHIV InfectionsHumansMaleMiddle AgedRegression AnalysisSelf ReportTreatment OutcomeAnti-HIV AgentsBiomarkers

Identifiers

PMID27973550
PMCPMC5156419

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.