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Sustainable HIV treatment in Africa through viral-load-informed differentiated care

Authors :
Phillips, Andrew
Shroufi, Amir
Vojnov, Lara
Cohn, Jennifer
Roberts, Teri
Ellman, Tom
Bonner, Kimberly
Rousseau, Christine
Garnett, Geoff
Cambiano, Valentina
Nakagawa, Fumiyo
Ford, Deborah
Bansi-Matharu, Loveleen
Miners, Alec
Lundgren, Jens D.
Eaton, Jeffrey W.
Parkes-Ratanshi, Rosalind
Katz, Zachary
Maman, David
Ford, Nathan
Vitoria, Marco
Doherty, Meg
Dowdy, David
Nichols, Brooke
Murtagh, Maurine
Wareham, Meghan
Palamountain, Kara M.
Chakanyuka Musanhu, Christine
Stevens, Wendy
Katzenstein, David
Ciaranello, Andrea
Barnabas, Ruanne
Braithwaite, R. Scott
Bendavid, Eran
Nathoo, Kusum J.
van de Vijver, David
Wilson, David P.
Holmes, Charles
Bershteyn, Anna
Walker, Simon
Raizes, Elliot
Jani, Ilesh
Nelson, Lisa J.
Peeling, Rosanna
Terris-Prestholt, Fern
Murungu, Joseph
Mutasa-Apollo, Tsitsi
Hallett, Timothy B.
Revill, Paul
Source :
Nature; December 2015, Vol. 528 Issue: 7580 pS68-S76, 9p
Publication Year :
2015

Abstract

There are inefficiencies in current approaches to monitoring patients on antiretroviral therapy in sub-Saharan Africa. Patients typically attend clinics every 1 to 3 months for clinical assessment. The clinic costs are comparable with the costs of the drugs themselves and CD4 counts are measured every 6 months, but patients are rarely switched to second-line therapies. To ensure sustainability of treatment programmes, a transition to more cost-effective delivery of antiretroviral therapy is needed. In contrast to the CD4 count, measurement of the level of HIV RNA in plasma (the viral load) provides a direct measure of the current treatment effect. Viral-load-informed differentiated care is a means of tailoring care so that those with suppressed viral load visit the clinic less frequently and attention is focussed on those with unsuppressed viral load to promote adherence and timely switching to a second-line regimen. The most feasible approach to measuring viral load in many countries is to collect dried blood spot samples for testing in regional laboratories; however, there have been concerns over the sensitivity and specificity of this approach to define treatment failure and the delay in returning results to the clinic. We use modelling to synthesize evidence and evaluate the cost-effectiveness of viral-load-informed differentiated care, accounting for limitations of dried blood sample testing. We find that viral-load-informed differentiated care using dried blood sample testing is cost-effective and is a recommended strategy for patient monitoring, although further empirical evidence as the approach is rolled out would be of value. We also explore the potential benefits of point-of-care viral load tests that may become available in the future.This article has not been written or reviewed by Nature editors. Nature accepts no responsibility for the accuracy of the information provided.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
528
Issue :
7580
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs37391515
Full Text :
https://doi.org/10.1038/nature16046