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HIV Treatment as Prevention: Modelling the Cost of Antiretroviral Treatment—State of the Art and Future Directions

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  • Gesine Meyer-Rath
  • Mead Over

Abstract

Policy discussions about the feasibility of massively scaling up antiretroviral therapy (ART) to reduce HIV transmission and incidence hinge on accurately projecting the cost of such scale-up in comparison to the benefits from reduced HIV incidence and mortality. We review the available literature on modelled estimates of the cost of providing ART to different populations around the world, and suggest alternative methods of characterising cost when modelling several decades into the future. In past economic analyses of ART provision, costs were often assumed to vary by disease stage and treatment regimen, but for treatment as prevention, in particular, most analyses assume a uniform cost per patient. This approach disregards variables that can affect unit cost, such as differences in factor prices (i.e., the prices of supplies and services) and the scale and scope of operations (i.e., the sizes and types of facilities providing ART). We discuss several of these variables, and then present a worked example of a flexible cost function used to determine the effect of scale on the cost of a proposed scale-up of treatment as prevention in South Africa. Adjusting previously estimated costs of universal testing and treatment in South Africa for diseconomies of small scale, i.e., more patients being treated in smaller facilities, adds 42% to the expected future cost of the intervention.

Suggested Citation

  • Gesine Meyer-Rath & Mead Over, 2012. "HIV Treatment as Prevention: Modelling the Cost of Antiretroviral Treatment—State of the Art and Future Directions," PLOS Medicine, Public Library of Science, vol. 9(7), pages 1-10, July.
  • Handle: RePEc:plo:pmed00:1001247
    DOI: 10.1371/journal.pmed.1001247
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    Cited by:

    1. Jasmina Panovska-Griffiths & Anna Vassall & Holly J Prudden & Aurélia Lépine & Marie-Claude Boily & Sudha Chandrashekar & Kate M Mitchell & Tara S Beattie & Michel Alary & Natasha K Martin & Peter Vic, 2014. "Optimal Allocation of Resources in Female Sex Worker Targeted HIV Prevention Interventions: Model Insights from Avahan in South India," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-9, October.
    2. Nicolas A Menzies & Andres A Berruti & John M Blandford, 2012. "The Determinants of HIV Treatment Costs in Resource Limited Settings," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    3. Jockers, Dominik & Langlotz, Sarah & French, Declan & Bärnighausen, Till, 2021. "HIV treatment and worker absenteeism: Quasi-experimental evidence from a large-scale health program in South Africa," Journal of Health Economics, Elsevier, vol. 79(C).
    4. Aurélia Lépine & Sudhashree Chandrashekar & Govindraj Shetty & Peter Vickerman & Janet Bradley & Michel Alary & Stephen Moses & CHARME India Group & Anna Vassall, 2016. "What Determines HIV Prevention Costs at Scale? Evidence from the Avahan Programme in India," Health Economics, John Wiley & Sons, Ltd., vol. 25(S1), pages 67-82, February.

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