Cost-effectiveness of easy-access, risk-informed oral pre-exposure prophylaxis in HIV epidemics in sub-Saharan Africa: a modelling study.


Journal

The lancet. HIV
ISSN: 2352-3018
Titre abrégé: Lancet HIV
Pays: Netherlands
ID NLM: 101645355

Informations de publication

Date de publication:
05 2022
Historique:
received: 16 06 2021
revised: 27 01 2022
accepted: 28 01 2022
pubmed: 1 5 2022
medline: 4 5 2022
entrez: 30 4 2022
Statut: ppublish

Résumé

Approaches that allow easy access to pre-exposure prophylaxis (PrEP), such as over-the-counter provision at pharmacies, could facilitate risk-informed PrEP use and lead to lower HIV incidence, but their cost-effectiveness is unknown. We aimed to evaluate conditions under which risk-informed PrEP use is cost-effective. We applied a mathematical model of HIV transmission to simulate 3000 setting-scenarios reflecting a range of epidemiological characteristics of communities in sub-Saharan Africa. The prevalence of HIV viral load greater than 1000 copies per mL among all adults (HIV positive and negative) varied from 1·1% to 7·4% (90% range). We hypothesised that if PrEP was made easily available without restriction and with education regarding its use, women and men would use PrEP, with sufficient daily adherence, during so-called seasons of risk (ie, periods in which individuals are at risk of acquiring infection). We refer to this as risk-informed PrEP. For each setting-scenario, we considered the situation in mid-2021 and performed a pairwise comparison of the outcomes of two policies: immediate PrEP scale-up and then continuation for 50 years, and no PrEP. We estimated the relationship between epidemic and programme characteristics and cost-effectiveness of PrEP availability to all during seasons of risk. For our base-case analysis, we assumed a 3-monthly PrEP cost of US$29 (drug $11, HIV test $4, and $14 for additional costs necessary to facilitate education and access), a cost-effectiveness threshold of $500 per disability-adjusted life-year (DALY) averted, an annual discount rate of 3%, and a time horizon of 50 years. In sensitivity analyses, we considered a cost-effectiveness threshold of $100 per DALY averted, a discount rate of 7% per annum, the use of PrEP outside of seasons of risk, and reduced uptake of risk-informed PrEP. In the context of PrEP scale-up such that 66% (90% range across setting-scenarios 46-81) of HIV-negative people with at least one non-primary condomless sex partner take PrEP in any given period, resulting in 2·6% (0·9-6·0) of all HIV negative adults taking PrEP at any given time, risk-informed PrEP was predicted to reduce HIV incidence by 49% (23-78) over 50 years compared with no PrEP. PrEP was cost-effective in 71% of all setting-scenarios, and cost-effective in 76% of setting-scenarios with prevalence of HIV viral load greater than 1000 copies per mL among all adults higher than 2%. In sensitivity analyses with a $100 per DALY averted cost-effectiveness threshold, a 7% per year discount rate, or with PrEP use that was less well risk-informed than in our base case, PrEP was less likely to be cost-effective, but generally remained cost-effective if the prevalence of HIV viral load greater than 1000 copies per mL among all adults was higher than 3%. In sensitivity analyses based on additional setting-scenarios in which risk-informed PrEP was less extensively used, the HIV incidence reduction was smaller, but the cost-effectiveness of risk-informed PrEP was undiminished. Under the assumption that making PrEP easily accessible for all adults in sub-Saharan Africa in the context of community education leads to risk-informed use, PrEP is likely to be cost-effective in settings with prevalence of HIV viral load greater than 1000 copies per mL among all adults higher than 2%, suggesting the need for implementation of such approaches, with ongoing evaluation. US Agency for International Development, US President's Emergency Plan for AIDS Relief, and Bill & Melinda Gates Foundation.

Sections du résumé

BACKGROUND
Approaches that allow easy access to pre-exposure prophylaxis (PrEP), such as over-the-counter provision at pharmacies, could facilitate risk-informed PrEP use and lead to lower HIV incidence, but their cost-effectiveness is unknown. We aimed to evaluate conditions under which risk-informed PrEP use is cost-effective.
METHODS
We applied a mathematical model of HIV transmission to simulate 3000 setting-scenarios reflecting a range of epidemiological characteristics of communities in sub-Saharan Africa. The prevalence of HIV viral load greater than 1000 copies per mL among all adults (HIV positive and negative) varied from 1·1% to 7·4% (90% range). We hypothesised that if PrEP was made easily available without restriction and with education regarding its use, women and men would use PrEP, with sufficient daily adherence, during so-called seasons of risk (ie, periods in which individuals are at risk of acquiring infection). We refer to this as risk-informed PrEP. For each setting-scenario, we considered the situation in mid-2021 and performed a pairwise comparison of the outcomes of two policies: immediate PrEP scale-up and then continuation for 50 years, and no PrEP. We estimated the relationship between epidemic and programme characteristics and cost-effectiveness of PrEP availability to all during seasons of risk. For our base-case analysis, we assumed a 3-monthly PrEP cost of US$29 (drug $11, HIV test $4, and $14 for additional costs necessary to facilitate education and access), a cost-effectiveness threshold of $500 per disability-adjusted life-year (DALY) averted, an annual discount rate of 3%, and a time horizon of 50 years. In sensitivity analyses, we considered a cost-effectiveness threshold of $100 per DALY averted, a discount rate of 7% per annum, the use of PrEP outside of seasons of risk, and reduced uptake of risk-informed PrEP.
FINDINGS
In the context of PrEP scale-up such that 66% (90% range across setting-scenarios 46-81) of HIV-negative people with at least one non-primary condomless sex partner take PrEP in any given period, resulting in 2·6% (0·9-6·0) of all HIV negative adults taking PrEP at any given time, risk-informed PrEP was predicted to reduce HIV incidence by 49% (23-78) over 50 years compared with no PrEP. PrEP was cost-effective in 71% of all setting-scenarios, and cost-effective in 76% of setting-scenarios with prevalence of HIV viral load greater than 1000 copies per mL among all adults higher than 2%. In sensitivity analyses with a $100 per DALY averted cost-effectiveness threshold, a 7% per year discount rate, or with PrEP use that was less well risk-informed than in our base case, PrEP was less likely to be cost-effective, but generally remained cost-effective if the prevalence of HIV viral load greater than 1000 copies per mL among all adults was higher than 3%. In sensitivity analyses based on additional setting-scenarios in which risk-informed PrEP was less extensively used, the HIV incidence reduction was smaller, but the cost-effectiveness of risk-informed PrEP was undiminished.
INTERPRETATION
Under the assumption that making PrEP easily accessible for all adults in sub-Saharan Africa in the context of community education leads to risk-informed use, PrEP is likely to be cost-effective in settings with prevalence of HIV viral load greater than 1000 copies per mL among all adults higher than 2%, suggesting the need for implementation of such approaches, with ongoing evaluation.
FUNDING
US Agency for International Development, US President's Emergency Plan for AIDS Relief, and Bill & Melinda Gates Foundation.

Identifiants

pubmed: 35489378
pii: S2352-3018(22)00029-7
doi: 10.1016/S2352-3018(22)00029-7
pmc: PMC9065367
pii:
doi:

Substances chimiques

Anti-HIV Agents 0

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S. Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e353-e362

Subventions

Organisme : NIMH NIH HHS
ID : K23 MH114760
Pays : United States
Organisme : Medical Research Council
ID : MR/T042796/1
Pays : United Kingdom
Organisme : PEPFAR
Pays : United States
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests Unless otherwise stated, all authors are salaried employees of the institutions to which they are affiliated in the header. JWM declares grants from the National Institutes of Health (NIH), US Agency for International Development (USAID), Gilead Sciences, and Janssen Pharmaceuticals Research to the University of Pittsburgh; consulting fees from Gilead Sciences; shares with Abound Bio; and share options with Infectious Diseases Connect. VC reports research grants from UK Research and Innovation (UKRI), Unitaid, National Institute for Health Research, USAID, Medical Research Council (MRC), and Bill & Melinda Gates Foundation; and consulting fees from WHO. TBH declares research grants to their institution from Bill & Melinda Gates Foundation, WHO, UNAIDS, NIH, MRC, and Department for International Development/Foreign, Commonwealth and Development Office; and consulting fees from WHO, Global Fund to Fight AIDS, Tuberculosis and Malaria, and Gilead. ANP declares research grants from UKRI, Wellcome Trust, USAID, NIH, and Bill & Melinda Gates Foundation; and consulting fees from Bill & Melinda Gates Foundation. All other authors declare no competing interests.

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Auteurs

Andrew N Phillips (AN)

Institute for Global Health, University College London, London, UK. Electronic address: andrew.phillips@ucl.ac.uk.

Anna Bershteyn (A)

Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Paul Revill (P)

Centre for Health Economics, University of York, York, UK.

Loveleen Bansi-Matharu (L)

Institute for Global Health, University College London, London, UK.

Katharine Kripke (K)

Avenir Health, Takoma Park, MD, USA.

Marie-Claude Boily (MC)

Department of Infectious Disease Epidemiology, Imperial College London, London, UK; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.

Rowan Martin-Hughes (R)

Burnet Institute, Melbourne, VIC, Australia.

Leigh F Johnson (LF)

Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.

Zindoga Mukandavire (Z)

Centre for Data Science and Artificial Intelligence, Emirates Aviation University, Dubai, United Arab Emirates.

Lise Jamieson (L)

Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Medical Microbiology, Amsterdam University Medical Centre, Amsterdam, Netherlands.

Gesine Meyer-Rath (G)

Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.

Timothy B Hallett (TB)

Department of Infectious Disease Epidemiology, Imperial College London, London, UK; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.

Debra Ten Brink (D)

Burnet Institute, Melbourne, VIC, Australia.

Sherrie L Kelly (SL)

Burnet Institute, Melbourne, VIC, Australia.

Brooke E Nichols (BE)

Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Medical Microbiology, Amsterdam University Medical Centre, Amsterdam, Netherlands; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.

Eran Bendavid (E)

Department of Medicine, Stanford University, Stanford, CA, USA.

Edinah Mudimu (E)

Department of Decision Sciences, University of South Africa, Pretoria, South Africa.

Isaac Taramusi (I)

National AIDS Council, Harare, Zimbabwe.

Jennifer Smith (J)

Institute for Global Health, University College London, London, UK.

Shona Dalal (S)

World Health Organisation, Geneva, Switzerland.

Rachel Baggaley (R)

World Health Organisation, Geneva, Switzerland.

Siobhan Crowley (S)

The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.

Fern Terris-Prestholt (F)

Joint UN Programme on HIV/AIDS, Geneva, Switzerland.

Peter Godfrey-Faussett (P)

Joint UN Programme on HIV/AIDS, Geneva, Switzerland; London School of Hygiene & Tropical Medicine, London, UK.

Irene Mukui (I)

Drugs for Neglected Diseases Initiative, Nairobi, Kenya.

Andreas Jahn (A)

Ministry of Health, Lilongwe, Malawi.

Kelsey K Case (KK)

Department of Infectious Disease Epidemiology, Imperial College London, London, UK.

Diane Havlir (D)

Department of Medicine, University of California, San Francisco, CA, USA.

Maya Petersen (M)

Divisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.

Moses Kamya (M)

Department of Medicine, Makerere University, Kampala, Uganda; Infectious Diseases Research Collaboration, Kampala, Uganda.

Catherine A Koss (CA)

Department of Medicine, University of California, San Francisco, CA, USA.

Laura B Balzer (LB)

Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.

Tsitsi Apollo (T)

Ministry of Health and Child Care, Harare, Zimbabwe.

Thato Chidarikire (T)

National Department of Health, Pretoria, South Africa.

John W Mellors (JW)

Department of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.

Urvi M Parikh (UM)

Department of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.

Catherine Godfrey (C)

Office of the Global AIDS Coordinator, Department of State, Washington, DC, USA.

Valentina Cambiano (V)

Institute for Global Health, University College London, London, UK.

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