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RESEARCH ARTICLE (Open Access)

Lifetime cost of HIV management in Australia: an economic model

Megumi Lim https://orcid.org/0000-0002-6881-0152 A , Angela Devine https://orcid.org/0000-0002-3321-8706 A B , Richard T. Gray C , Jisoo A. Kwon C , Jolie L. Hutchinson C and Jason J. Ong https://orcid.org/0000-0001-5784-7403 A D E F *
+ Author Affiliations
- Author Affiliations

A Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Vic., Australia.

B Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.

C The Kirby Institute, UNSW Sydney, Sydney, NSW, Australia.

D Melbourne Sexual Health Centre, The Alfred Hospital, Melbourne, Vic., Australia.

E Central Clinical School, Monash University, Melbourne, Vic., Australia.

F Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.


Handling Editor: Ian Simms

Sexual Health 19(6) 517-524 https://doi.org/10.1071/SH21250
Submitted: 25 December 2021  Accepted: 27 July 2022   Published: 30 August 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background: Antiretroviral therapy (ART) for HIV has significantly reduced morbidity and mortality, but the drugs can be expensive. This study aimed to estimate the lifetime cost of HIV management from the Australian healthcare perspective.

Methods: A Markov cohort model, consisting of 21 health states based on CD4 count and line of ART, simulated disease progression over the lifetime of persons living with HIV. We reported costs using 2019 Australian dollars (A$) at a discount rate of 3.5% per annum. One-way sensitivity analysis was used to assess the impact of model inputs, and probabilistic sensitivity analyses were conducted to calculate the 95% confidence intervals for the lifetime cost estimate.

Results: The average discounted lifetime cost of HIV management was A$282 093 (95% CI: $194 198–421 615). The largest proportion of lifetime cost was due to ART (92%). The lifetime cost was most sensitive to third- and second-line ART costs, followed by the probability of failing third-line therapy for those with a CD4 count of <200 cells/μL. A 20% or 50% reduction in patented ART costs would reduce the lifetime cost to A$243 638 and A$161 400, respectively. Replacing patented ART drugs with currently available generic equivalents reduced the lifetime cost to A$141 345.

Conclusion: The relatively high lifetime costs for managing HIV mean that ongoing investment will be required to provide care and treatment to people living with HIV, and supports the urgent need to avert new infections. Reducing the price of ARTs (including consideration of generic drugs) would have the most significant impact on lifetime costs.

Keywords: antiretroviral therapy, Australia, health economics, HIV/AIDS, lifetime cost, living with HIV, management cost, mathematical models.


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