Evidence map›Paper›PMID 38301668›Full record

ArticleThe lancet. HIV2024

Impact of HIV self-testing for oral pre-exposure prophylaxis scale-up on drug resistance and HIV outcomes in western Kenya: a modelling study.

Sarah N Cox, Linxuan Wu, Rachel Wittenauer, Samantha Clark, D Allen Roberts, Ifechukwu Benedict Nwogu, Olga Vitruk, Alexandra P Kuo, Cheryl Johnson, Muhammad S Jamil and 7 more

Abstract read
In one paragraph

Article in The lancet. HIV, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Sarah N CoxDepartment of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Linxuan WuDepartment of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Rachel WittenauerDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Pharmacy, University of Washington, Seattle, WA, USA.
Samantha ClarkDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Pharmacy, University of Washington, Seattle, WA, USA.
D Allen RobertsDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Ifechukwu Benedict NwoguDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Pharmacy, University of Washington, Seattle, WA, USA.
Olga VitrukDepartment of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Alexandra P KuoDepartment of Pharmacy, University of Washington, Seattle, WA, USA.
Cheryl JohnsonGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Muhammad S JamilGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Anita SandsRegulation and Prequalification Department, World Health Organization, Geneva, Switzerland.
Robin SchaeferGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Christine KisiaWorld Health Organization - Kenya Country Office, Nairobi, Kenya.
Rachel BaggaleyGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Joanne D SteklerDepartment of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
Adam AkullianDepartment of Global Health, University of Washington, Seattle, WA, USA; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA. Electronic address: msharma1@uw.edu.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundCommunity-based oral pre-exposure prophylaxis (PrEP) provision has the potential to expand PrEP coverage. HIV self-testing can facilitate PrEP community-based delivery but might have lower sensitivity than facility-based HIV testing, potentially leading to inappropriate PrEP use among people with HIV and subsequent development of drug resistance. We aimed to evaluate the impact of HIV self-testing use for PrEP scale-up.

methodsWe parameterised an agent-based network model, EMOD-HIV, to simulate generic tenofovir disoproxil fumarate and emtricitabine PrEP scale-up in western Kenya using four testing scenarios: provider-administered nucleic acid testing, provider-administered rapid diagnostic tests detecting antibodies, blood-based HIV self-testing, or oral fluid HIV self-testing. Scenarios were compared with a no PrEP counterfactual. Individuals aged 18-49 years with one or more heterosexual partners who screened HIV-negative were eligible for PrEP. We assessed the cost and health impact of rapid PrEP scale-up with high coverage over 20 years, and the budget impact over 5 years, using various HIV testing modalities.

findingsPrEP coverage of 29% was projected to avert approximately 54% of HIV infections and 17% of HIV-related deaths among adults aged 18-49 years over 20 years; health impacts were similar across HIV testing modalities used to deliver PrEP. The percentage of HIV infections with PrEP-associated nucleoside reverse transcriptase inhibitor (NRTI) drug resistance was 0·6% (95% uncertainty intervals 0·4-0·9) in the blood HIV self-testing scenario and 0·8% (0·6-1·0) in the oral HIV self-testing scenario, compared with 0·3% (0·2-0·3) in the antibody rapid diagnostic testing scenario and 0·2% (0·1-0·2) in the nucleic acid testing scenario. Accounting for background NRTI resistance, we found similarly low proportions of drug resistance across scenarios. The budget impact of implementing PrEP using HIV self-testing and provider-administered rapid diagnostic tests were similar, while nucleic acid testing was approximately 50% more costly.

interpretationScaling up PrEP using HIV self-testing has similar health impacts, costs, and low risk of drug resistance as provider-administered rapid diagnostic tests. Policy makers should consider leveraging HIV self-testing to expand PrEP access among those at HIV risk.

fundingThe Bill and Melinda Gates Foundation.

Indexed as

Anti-HIV AgentsHIV InfectionsNucleic AcidsPre-Exposure ProphylaxisAdultEmtricitabineHIV TestingHumansKenyaReverse Transcriptase InhibitorsSelf-TestingAnti-HIV AgentsEmtricitabineNucleic AcidsReverse Transcriptase Inhibitors

Identifiers

PMID38301668
PMCPMC10896737

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.