Evidence map›Paper›PMID 36385504›Full record

ArticleJournal of the International AIDS Society2022

The impact of prevention-effective PrEP use on HIV incidence: a mathematical modelling study.

D Allen Roberts, Daniel Bridenbecker, Jessica E Haberer, Ruanne V Barnabas, Adam Akullian

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Opt-in and opt-out strategies for HIV testing.The Lancet regional health. Europe · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

5 authors at 3 institutions in 1 country.

D Allen RobertsDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-3660-6330
Daniel BridenbeckerInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, Washington, USA.
Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-5845-3190
Ruanne V BarnabasCenter for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA.
Adam AkullianInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, Washington, USA.
Gates Foundation · USHarvard University · USUniversity of Washington · US

Funding

Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
Community tenofovir levels as a population adherence measure to understand the impact of oral PrEP on HIV acquisition among young women in sub-Saharan AfricaR21MH121156 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BARNABAS, RUANNE VANESSA, HABERER, JESSICA ELIZABETH · 2020 to 2021
$458k
Estimating the cost-effectiveness of HIV pre-exposure prophylaxis delivery through maternal and child health clinics in KenyaF30MH122300 · NIMH · UNIVERSITY OF WASHINGTON · PI ROBERTS, DAVID ALLEN · 2019 to 2021
$145k
NIMH NIH HHS F30 MH122300NIMH NIH HHS K24 MH114732NIMH NIH HHS R21 MH121156
6 · The paper itself

Abstract

introductionModels that project the impact and cost-effectiveness of HIV pre-exposure prophylaxis (PrEP) must specify how PrEP use aligns with HIV exposure. We hypothesized that varying PrEP use according to individual-level partnership dynamics rather than prioritization to population subgroups based on average risk will result in larger incidence reductions and greater efficiency.

methodsWe used an individual-based network transmission model calibrated to HIV dynamics in Eswatini to simulate PrEP use among individuals ages 15-34 between 2022 and 2031 under two paradigms of PrEP delivery: "Risk Group" and "Partnership." In the "Risk Group" paradigm, we varied PrEP coverage by risk groups (low, medium and high) defined by average partnership frequency and concurrency. In the "Partnership" paradigm, all individuals are potentially eligible for PrEP, but we assumed use occurs only during partnerships and varied prioritization by partner HIV status (no prioritization to high prioritization with HIV-positive partners). We calculated person-time on PrEP and incidence relative to a no PrEP scenario and estimated efficiency as the person-years of PrEP needed to avert one additional infection (NNT).

resultsIn the Risk Group paradigm, restricting PrEP to the high-risk group was the most efficient (NNT = 17), but the number of infections averted was limited by the small size of the high-risk group. Expanding PrEP use to all risk groups averted up to three times more infections but with lower efficiency (NNT = 202). PrEP use under the Partnership paradigm was 2-6 times more efficient (NNT = 33-102) than the Risk Group paradigm with all groups eligible for PrEP. A 33% reduction in incidence among 15- to 34-year-olds was achieved at 46% (95% CI: 39-52%) PrEP coverage in the Risk Group paradigm and 6% (95% CI: 5-7%) to 17% (95% CI: 14-20%) in the Partnership paradigm.

conclusionsModelling PrEP use based on risk groups resulted in a sharp trade-off between PrEP efficiency and impact, whereas PrEP use predicated on partnerships resulted in much higher efficiency for widespread PrEP availability. Model estimates of PrEP impact and cost-effectiveness in generalized epidemics are strongly influenced by assumptions about how PrEP use aligns with individual-level HIV exposure heterogeneity.

Indexed as

EpidemicsHIV InfectionsPre-Exposure ProphylaxisAdolescentAdultHumansModels, TheoreticalSafe SexYoung AdultadherenceAfricacost-effectivenessHIV preventionmodellingPrEP

Identifiers

PMID36385504
PMCPMC9670193
OpenAlexW4309176165

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.