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Published in: AIDS and Behavior 4/2014

Open Access 01-07-2014 | Original Paper

Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements

Authors: Valentina Cambiano, Sue Napierala Mavedzenge, Andrew Phillips

Published in: AIDS and Behavior | Special Issue 4/2014

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Abstract

HIV testing uptake has increased dramatically in recent years in resource limited settings. Nevertheless, over 50 % of the people living with HIV are still unaware of their status. HIV self-testing (HIVST) is a potential new approach to facilitate further uptake of testing which requires consideration, taking into account economic factors. Mathematical models and associated economic analysis can provide useful assistance in decision-making processes, offering insight, in this case, into the potential long-term impact at a population level and the price-point at which free or subsidized HIVST would be cost-effective in a given setting. However, models are based on assumptions, and if the required data are sparse or limited, this uncertainty will be reflected in the results from mathematical models. The aim of this paper is to describe the issues encountered in modeling the cost-effectiveness of introducing HIVST, to indicate the evidence needed to support various modeling assumptions, and thus which data on HIVST would be most beneficial to collect.
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Metadata
Title
Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements
Authors
Valentina Cambiano
Sue Napierala Mavedzenge
Andrew Phillips
Publication date
01-07-2014
Publisher
Springer US
Published in
AIDS and Behavior / Issue Special Issue 4/2014
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-014-0824-x

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