Evidence map›Paper›PMID 40264148›Full record

ArticleBMC health services research2025

Willingness to pay for HIV pre- and post-exposure prophylaxis services delivered via an online pharmacy in Kenya.

Michalina A Montaño, Yilin Chen, Enrique M Saldarriaga, Nicholas Thuo, Catherine Kiptinness, Andy Stergachis, Melissa L Mugambi, Kenneth Ngure, Katrina F Ortblad, Monisha Sharma

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Michalina A MontañoVaccine and Infectious Diseases Division (VIDD), Fred Hutchinson Cancer Center, Seattle, USA. mmontano@fredhutch.org.
Yilin ChenThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, USA.
Enrique M SaldarriagaThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, USA.
Nicholas ThuoPartners in Health and Research Development, Centre for Clinical Research, Kenya Medical Research Institute, Nairobi, Thika, Kenya.
Catherine KiptinnessPartners in Health and Research Development, Centre for Clinical Research, Kenya Medical Research Institute, Nairobi, Thika, Kenya.
Andy StergachisThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, USA.
Melissa L MugambiDepartment of Global Health, University of Washington, Seattle, USA.
Kenneth NgureDepartment of Global Health, University of Washington, Seattle, USA.
Katrina F OrtbladPublic Health Science Division, Fred Hutchinson Cancer Center, Seattle, USA.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, USA.

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
Gates Foundation INV-037646NIMH NIH HHS K99/R00 MH121166NIMH NIH HHS R00 MH121166
6 · The paper itself

Abstract

backgroundHIV pre- and post-exposure prophylaxis (PrEP/PEP) provision via online pharmacies could expand reach of HIV prevention in Eastern and Southern Africa, but designing sustainable delivery models will require assessing the amount potential users are willing to pay for online PrEP/PEP provision.

methodsWe administered willingness to pay (WTP) questionnaires to both potential online PrEP users and current online PrEP/PEP users in Nairobi, Kenya using a stated preference approach to measure the amount participants were willing to pay for PrEP/PEP service delivery components. Participants ≥ 18 years were recruited via banner ads on an online pharmacy website on pages displaying sexual health products. We used multivariable gamma regression models to assess characteristics associated with differences in mean WTP for a 30-day PrEP or 28-day PEP course (including HIV self-testing, remote clinical consultation, drugs, and delivery fees).

resultsFrom May 2022 and December 2023, 1,512 participants completed WTP questionnaires: 772 potential online PrEP users and 740 current online PrEP/PEP users. Most participants (98.3%, 1486/1,512) were willing to pay some amount for online PrEP services. For a one-month PrEP supply, potential online PrEP users were willing to pay 1388 KSH ($11.77 USD) and current online PrEP/PEP users were willing to pay 1271.2 KSH ($10.77 USD) on average. Most current online PrEP/PEP users (81.4%, 602/740) were also willing to pay for online PEP services; for a 28-day PEP supply, they were willing to pay 812.9 KSH ($6.89 USD) on average. Among potential online PrEP users, male sex, current enrollment in school, high income, and a history of online pharmacy purchases were associated with higher WTP for PrEP. Among current online PrEP/PEP users, higher income and prior online pharmacy purchases were associated with higher WTP for PrEP, and older age (> 24) and prior online pharmacy purchases were associated with higher WTP for PEP.

conclusionMost potential and current online PrEP/PEP users in Nairobi were willing to pay for online pharmacy-based PrEP/PEP and demonstrated similar WTP. Providing PrEP/PEP through online pharmacies may sustainably expand coverage of these HIV prevention services.

Indexed as

Financing, PersonalHIV InfectionsPharmaceutical Services, OnlinePost-Exposure ProphylaxisPre-Exposure ProphylaxisAdolescentAdultFemaleHumansKenyaMaleMiddle AgedSurveys and QuestionnairesYoung AdultHIV preventionOnline deliveryPEPPharmaciesPrEPWillingness to pay

Identifiers

PMID40264148
PMCPMC12013023

What Socratic 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 Socratic graph.