Health impact, budget impact, and price threshold for cost-effectiveness of lenacapavir for HIV pre-exposure prophylaxis in eastern and southern Africa: a modelling analysis.


Journal

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

Informations de publication

Date de publication:
20 Sep 2024
Historique:
received: 15 08 2024
revised: 01 09 2024
accepted: 02 09 2024
medline: 24 9 2024
pubmed: 24 9 2024
entrez: 23 9 2024
Statut: aheadofprint

Résumé

Injectable lenacapavir administered every 6 months is a promising product for HIV pre-exposure prophylaxis (PrEP). We aimed to estimate the health and budget impacts and threshold price at which lenacapavir could be cost-effective in eastern and southern Africa. We adapted an agent-based network model, EMOD-HIV, to simulate lenacapavir scale-up in Zimbabwe, South Africa, and western Kenya from 2026 to 2035. Uptake assumptions were informed by a literature review of PrEP product preferences. In the main analysis, we varied lenacapavir coverage by subgroup: female sex workers (40% coverage); male clients of female sex workers (40%); adolescent girls and young women aged 15-24 years with more than one sexual partner (32%); women aged 25 years and older with more than one sexual partner (36%); and males with more than one sexual partner (32%). We also assessed a higher coverage scenario (64-76% across subgroups) and scenarios of expanding lenacapavir use, varying from concentrated among those at highest HIV risk to broader coverage including those at medium HIV risk. We estimated the maximum per-dose lenacapavir price that achieved cost-effectiveness (<US$500 per disability-adjusted life-year averted), infections averted, and 5-year budget impact, compared with daily oral PrEP only. In the main analysis, lenacapavir was projected to achieve from 1·6% (95% uncertainty interval [UI] 1·5-1·8) to 4·0% (3·4-5·1) population coverage across settings and to avert from 12·3% (5·4-19·5) to 18·0% (11·0-22·9) of infections over 10 years. The maximum price per dose was highest in South Africa ($106·28 [95% UI 95·72-115·87]), followed by Zimbabwe ($21·15 [17·70-24·89]), and lowest in western Kenya ($16·58 [15·44-17·70]). The 5-year budget impact was US$507·25 million (95% UI 436·14-585·42) in South Africa, $16·80 million (13·95-22·64) in Zimbabwe, and $4·09 million (3·86-4·30) in western Kenya. In the higher coverage scenario, lenacapavir distribution was projected to reach from 3·2% (95% UI 2·9-3·6) to 8·1% (6·8-10·5) population coverage and to avert from 21·2% (95% UI 14·7-18·5) to 33·3% (28·5-36·9) of HIV infections across settings over 10 years. Price thresholds were lower than in the main analysis: $88·34 (95% UI 83·02-94·19) in South Africa, $17·71 (15·61-20·05) in Zimbabwe, and $14·78 (14·33-15·30) in western Kenya. The 5-year budget impact was higher than the main analysis: $835·29 million (95% UI 736·98-962·98) in South Africa, $29·50 million (24·62-39·52) in Zimbabwe, and $7·45 million (7·11-7·85) in western Kenya. Expanding lenacapavir coverage resulted in higher HIV infections averted but lower price thresholds than scenarios of concentrated use among those with highest HIV risk. Our findings suggest that lenacapavir could avert substantial HIV incidence and that price thresholds and budget impacts vary by setting and coverage. These results could inform policy deliberations regarding lenacapavir pricing and resource planning. The Bill & Melinda Gates Foundation.

Sections du résumé

BACKGROUND BACKGROUND
Injectable lenacapavir administered every 6 months is a promising product for HIV pre-exposure prophylaxis (PrEP). We aimed to estimate the health and budget impacts and threshold price at which lenacapavir could be cost-effective in eastern and southern Africa.
METHODS METHODS
We adapted an agent-based network model, EMOD-HIV, to simulate lenacapavir scale-up in Zimbabwe, South Africa, and western Kenya from 2026 to 2035. Uptake assumptions were informed by a literature review of PrEP product preferences. In the main analysis, we varied lenacapavir coverage by subgroup: female sex workers (40% coverage); male clients of female sex workers (40%); adolescent girls and young women aged 15-24 years with more than one sexual partner (32%); women aged 25 years and older with more than one sexual partner (36%); and males with more than one sexual partner (32%). We also assessed a higher coverage scenario (64-76% across subgroups) and scenarios of expanding lenacapavir use, varying from concentrated among those at highest HIV risk to broader coverage including those at medium HIV risk. We estimated the maximum per-dose lenacapavir price that achieved cost-effectiveness (<US$500 per disability-adjusted life-year averted), infections averted, and 5-year budget impact, compared with daily oral PrEP only.
FINDINGS RESULTS
In the main analysis, lenacapavir was projected to achieve from 1·6% (95% uncertainty interval [UI] 1·5-1·8) to 4·0% (3·4-5·1) population coverage across settings and to avert from 12·3% (5·4-19·5) to 18·0% (11·0-22·9) of infections over 10 years. The maximum price per dose was highest in South Africa ($106·28 [95% UI 95·72-115·87]), followed by Zimbabwe ($21·15 [17·70-24·89]), and lowest in western Kenya ($16·58 [15·44-17·70]). The 5-year budget impact was US$507·25 million (95% UI 436·14-585·42) in South Africa, $16·80 million (13·95-22·64) in Zimbabwe, and $4·09 million (3·86-4·30) in western Kenya. In the higher coverage scenario, lenacapavir distribution was projected to reach from 3·2% (95% UI 2·9-3·6) to 8·1% (6·8-10·5) population coverage and to avert from 21·2% (95% UI 14·7-18·5) to 33·3% (28·5-36·9) of HIV infections across settings over 10 years. Price thresholds were lower than in the main analysis: $88·34 (95% UI 83·02-94·19) in South Africa, $17·71 (15·61-20·05) in Zimbabwe, and $14·78 (14·33-15·30) in western Kenya. The 5-year budget impact was higher than the main analysis: $835·29 million (95% UI 736·98-962·98) in South Africa, $29·50 million (24·62-39·52) in Zimbabwe, and $7·45 million (7·11-7·85) in western Kenya. Expanding lenacapavir coverage resulted in higher HIV infections averted but lower price thresholds than scenarios of concentrated use among those with highest HIV risk.
INTERPRETATION CONCLUSIONS
Our findings suggest that lenacapavir could avert substantial HIV incidence and that price thresholds and budget impacts vary by setting and coverage. These results could inform policy deliberations regarding lenacapavir pricing and resource planning.
FUNDING BACKGROUND
The Bill & Melinda Gates Foundation.

Identifiants

pubmed: 39312933
pii: S2352-3018(24)00239-X
doi: 10.1016/S2352-3018(24)00239-X
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 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 MS reports funding from the National Institutes of Health and the Bill & Melinda Gates Foundation during the conduct of this study. AB reports funding from the National Institutes of Health, the Gates Foundation, the New York City Department of Health and Mental Hygiene, and the Foundation for Innovative New Diagnostics; and consulting fees from Gates Ventures during the study. All other authors declare no competing interests. The views expressed in this Article do not necessarily represent the views or policies of the institutions with which they are affiliated.

Auteurs

Linxuan Wu (L)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

David Kaftan (D)

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

Rachel Wittenauer (R)

CHOICE Institute, University of Washington School of Pharmacy, Seattle, WA, USA.

Cory Arrouzet (C)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

Nishali Patel (N)

Department of Global Health, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA.

Arden L Saravis (AL)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

Brian Pfau (B)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

Edinah Mudimu (E)

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

Anna Bershteyn (A)

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

Monisha Sharma (M)

Department of Global Health, University of Washington, Seattle, WA, USA. Electronic address: msharma1@uw.edu.

Classifications MeSH