Evidence map›Paper›PMID 42567175›Full record

ArticleThe Lancet. Global health2026

Cost-effectiveness of providing pre-exposure and post-exposure prophylaxis for the prevention of HIV via online pharmacies in western Kenya: a modelling study.

Akash Malhotra, Nishali Patel, David Kaftan, Yilin Chen, Cory Arrouzet, Arden Saravis, Catherine Kiptinness, Tabitha Kareithi, Kenneth Ngure, Katrina F Ortblad and 1 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Akash MalhotraDepartment of Global Health, University of Washington, Seattle, WA, USA.
Nishali PatelInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
David KaftanDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Yilin ChenCHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA, USA.
Cory ArrouzetDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Arden SaravisDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Catherine KiptinnessPartners in Health and Research Development, Thika, Kenya.
Tabitha KareithiPartners in Health and Research Development, Thika, Kenya.
Kenneth NgurePartners in Health and Research Development, Thika, Kenya.
Katrina F OrtbladPublic Health Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA. Electronic address: msharma1@uw.edu.

Funding

Peer PrEP referral + HIV self-test for PrEP initiation among young Kenyan womenR00MH121166 · NIMH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ORTBLAD, KATRINA FRANCES · 2021 to 2024
$866k
Bill & Melinda Gates Foundation INV-037646Bill & Melinda Gates Foundation INV-038274NIMH NIH HHS R00 MH121166
6 · The paper itself

Abstract

backgroundOral pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) provision via online pharmacies (henceforth online PrEP and PEP) offers promise in increasing biomedical HIV prevention coverage. In this study, we aimed to estimate the cost-effectiveness of online PrEP and PEP scale-up in western Kenya.

methodsWe adapted a network-based model, EMOD-HIV, to simulate online PrEP and PEP implementation from 2026 to 2036; costs and use of online PrEP and PEP and client characteristics were informed by the ePrEP Kenya pilot study, which evaluated online PrEP and PEP provision in Nairobi and Mombasa, Kenya. Other parameters were obtained from surveillance data and published literature. Eligible clients were aged 15-49 years reporting condomless sex with non-marital partners. We assumed online PrEP and PEP provision was implemented through public-private partnership, with the Kenya Ministry of Health providing PrEP and PEP drugs and service delivery costs paid by the online pharmacy (and charged to clients). We estimated HIV infections, HIV-related deaths, and disability-adjusted life-years (DALYs) averted compared with the baseline scenario of background oral PrEP only. We calculated incremental cost-effectiveness ratios (ICERs) assessing only costs incurred by the Kenya Ministry of Health over 35 years and used a supply-side threshold of US$500 per DALY averted. We calculated 95% uncertainty intervals (UIs) across 100 parameter sets.

findingsOnline PrEP and PEP was projected to reach population coverage of 0·7% (95% UI 0·7-0·8) for PEP and 0·3% (0·2-0·3) for PrEP and avert 13·9% (10·1-17·1) of HIV infections over 10 years. HIV-related deaths were reduced by 4·3% (95% UI 2·0-6·9) over the 35-year time horizon. The intervention was cost-effective from the Kenya Ministry of Health perspective (ICER $212 [95% UI 15-1409] per DALY averted). In a scenario assuming only online PEP availability (to isolate the effect of PEP), 11·6% (95% UI 8·6-15·2) of HIV infections were averted (ICER $210 [95% UI 41-3798] per DALY averted). The intervention remained cost-effective when varying PrEP and PEP effectiveness and assuming HIV testing and treatment disruptions.

interpretationOnline PrEP and PEP can avert substantial HIV infections, even with low population coverage. PEP was responsible for most intervention health benefits, likely due to high observed demand for PEP compared with PrEP in the pilot study. Leveraging private retailers can be efficient for scaling up HIV prevention in an era of shrinking donor funding.

fundingGates Foundation.

Indexed as

Anti-HIV AgentsCost-Benefit AnalysisHIV InfectionsPharmaceutical Services, OnlinePost-Exposure ProphylaxisPre-Exposure ProphylaxisAdolescentAdultCost-Effectiveness AnalysisFemaleHumansKenyaMaleMiddle AgedYoung AdultAnti-HIV Agents

Identifiers

PMID42567175
PMCPMC13541651

What Socratic holds

Textmetadata
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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 Socratic graph.