Evidence map›Paper›PMID 35489378›Full record

ArticleThe lancet. HIV2022

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

Andrew N Phillips, Anna Bershteyn, Paul Revill, Loveleen Bansi-Matharu, Katharine Kripke, Marie-Claude Boily, Rowan Martin-Hughes, Leigh F Johnson, Zindoga Mukandavire, Lise Jamieson and 29 more

Open access · hybridAbstract read
In one paragraph

Article in The lancet. HIV, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  3. Global HIV Incidence Analysis and Implications for Affordability Using Long-Acting Cabotegravir Versus Continuous and Event-Driven Oral Preexposure Prophylaxis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors at 20 institutions in 9 countries.

Andrew N PhillipsInstitute for Global Health, University College London, London, UK. Electronic address: andrew.phillips@ucl.ac.uk.
Anna BershteynDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Paul RevillCentre for Health Economics, University of York, York, UK.
Loveleen Bansi-MatharuInstitute for Global Health, University College London, London, UK.
Katharine KripkeAvenir Health, Takoma Park, MD, USA.
Marie-Claude BoilyDepartment 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-HughesBurnet Institute, Melbourne, VIC, Australia.
Leigh F JohnsonCentre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
Zindoga MukandavireCentre for Data Science and Artificial Intelligence, Emirates Aviation University, Dubai, United Arab Emirates.
Lise JamiesonHealth 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-RathHealth 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 HallettDepartment 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 BrinkBurnet Institute, Melbourne, VIC, Australia.
Sherrie L KellyBurnet Institute, Melbourne, VIC, Australia.
Brooke E NicholsHealth 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 BendavidDepartment of Medicine, Stanford University, Stanford, CA, USA.
Edinah MudimuDepartment of Decision Sciences, University of South Africa, Pretoria, South Africa.
Isaac TaramusiNational AIDS Council, Harare, Zimbabwe.
Jennifer SmithInstitute for Global Health, University College London, London, UK.
Shona DalalWorld Health Organisation, Geneva, Switzerland.
Rachel BaggaleyWorld Health Organisation, Geneva, Switzerland.
Siobhan CrowleyThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Fern Terris-PrestholtJoint UN Programme on HIV/AIDS, Geneva, Switzerland.
Peter Godfrey-FaussettJoint UN Programme on HIV/AIDS, Geneva, Switzerland; London School of Hygiene & Tropical Medicine, London, UK.
Irene MukuiDrugs for Neglected Diseases Initiative, Nairobi, Kenya.
Andreas JahnMinistry of Health, Lilongwe, Malawi.
Kelsey K CaseDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Diane HavlirDepartment of Medicine, University of California, San Francisco, CA, USA.
Maya PetersenDivisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
Moses KamyaDepartment of Medicine, Makerere University, Kampala, Uganda; Infectious Diseases Research Collaboration, Kampala, Uganda.
Catherine A KossDepartment of Medicine, University of California, San Francisco, CA, USA.
Laura B BalzerDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Tsitsi ApolloMinistry of Health and Child Care, Harare, Zimbabwe.
Thato ChidarikireNational Department of Health, Pretoria, South Africa.
John W MellorsDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Urvi M ParikhDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Catherine GodfreyOffice of the Global AIDS Coordinator, Department of State, Washington, DC, USA.
Valentina CambianoInstitute for Global Health, University College London, London, UK.
HIV Modelling Consortium
Burnet Institute · AUUniversity College London · GBUniversity of California, San Francisco · USUniversity of Pittsburgh · USWorld Health Organization · CHAvenir Health · USDepartment of Health · ZAEmirates Aviation University · AEGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHImperial College London · GBJoint United Nations Programme on HIV/AIDS · CHKenya AIDS Vaccine Initiative · KEMinistry of Health · MWMinistry of Health and Child Welfare · ZWNational AIDS Council · ZWNew York University · USStanford University · USUnited States Department of State · USUniversity of California, Berkeley · USUniversity of Massachusetts Amherst · US

Funding

Optimizing Adherence to PrEP among Young African Women through a Community Adherence Club InterventionK23MH114760 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOSS, CATHERINE ANNE STIMETS · 2018 to 2021
$796k
Medical Research Council MR/R015600/1Medical Research Council MR/T042796/1NIMH NIH HHS K23 MH114760PEPFARWorld Health Organization 001
6 · The paper itself

Abstract

backgroundApproaches 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.

methodsWe 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.

findingsIn 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.

interpretationUnder 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.

fundingUS Agency for International Development, US President's Emergency Plan for AIDS Relief, and Bill & Melinda Gates Foundation.

Indexed as

Anti-HIV AgentsEpidemicsHIV InfectionsPre-Exposure ProphylaxisAdultCost-Benefit AnalysisFemaleHumansMaleAnti-HIV Agents

Identifiers

PMID35489378
PMCPMC9065367
OpenAlexW4225003302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.