Evidence map›Paper›PMID 30683587›Full record

ArticleThe Lancet. Public health2019

The impact and cost-effectiveness of combined HIV prevention scenarios among transgender women sex-workers in Lima, Peru: a mathematical modelling study.

Annick Bórquez, Juan Vicente Guanira, Paul Revill, Patricia Caballero, Alfonso Silva-Santisteban, Sherrie Kelly, Ximena Salazar, Patricia Bracamonte, Percy Minaya, Timothy B Hallett and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
9.0field-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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 4 countries.

Annick BórquezDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK; Division of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA. Electronic address: aborquez@ucsd.edu.
Juan Vicente GuaniraInvestigaciones Médicas en Salud (INMENSA), Lima, Peru.
Paul RevillCentre for Health Economics, University of York, York, UK.
Patricia CaballeroInstituto Nacional de Salud, Lima, Peru; Ministry of Health, Lima, Peru.
Alfonso Silva-SantistebanCentro de Investigación Interdisciplinaria en Sexualidad, SIDA y Sociedad, Universidad Cayetano Heredia, Lima, Peru.
Sherrie KellyModelling and Biostatistics, Burnet Institute, Melbourne, VIC, Australia.
Ximena SalazarCentro de Investigación Interdisciplinaria en Sexualidad, SIDA y Sociedad, Universidad Cayetano Heredia, Lima, Peru.
Patricia BracamonteUNAIDS, Lima, Peru.
Percy MinayaMinistry of Health, Lima, Peru.
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Carlos F CáceresCentro de Investigación Interdisciplinaria en Sexualidad, SIDA y Sociedad, Universidad Cayetano Heredia, Lima, Peru.
Universidad Peruana Cayetano Heredia · PEBurnet Institute · AUEsSALUD · PEImperial College London · GBInstituto Nacional de Salud · PEMinistry of Health · PEUniversity of California System · USUniversity of York · GB

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
Modeling Structural HIV Determinants in Substance Users and related populationsR01DA037773 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA, STRATHDEE, STEFFANIE A. · 2015 to 2017
$1.4M
DEVELOPING A STATE-OF-THE-ART COMBINATION HIV PREVENTION PROGRAM FOR MSM/TRANSWOMR21MH102135 · NIMH · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI CACERES, CARLOS F. · 2013 to 2014
$297k
Medical Research Council MR/R015600/1NIAID NIH HHS P30 AI036214NIDA NIH HHS R01 DA037773NIMH NIH HHS R21 MH102135
6 · The paper itself

Abstract

backgroundHIV incidence remains high among transgender women in Lima, Peru, most of whom report sex work. On the basis of a stakeholder analysis and health system capacity assessment, we designed a mathematical model to guide HIV programmatic planning among transgender women sex workers (TWSW) in Lima.

methodsUsing a deterministic compartmental model, we modelled HIV transmission among TWSW, their stable partners, and their clients to estimate the impact and cost-effectiveness of combinations of interventions compared with the standard of care on reducing HIV incidence over a 10-year period. We simulated HIV transmission accounting for differences in sexual positioning in anal intercourse and condom use by partner type and fitted the model to HIV surveillance data using Latin hypercube sampling. The interventions we considered were 15% relative increase in condom use with clients and 10% relative increase with stable partners; increase in antiretroviral treatment (ART) coverage at CD4 count lower than 500 cells per mm

findingsUnder the basic scenario, combining the four interventions of increasing condom use with clients and stable partners, extending ART to people with CD4 count greater than or equal to 500 cells per mm

interpretationInvestments in HIV services among TWSW in Lima would be cost-effective, even under stringent cost-effectiveness criteria when accounting for setting-specific resource constraints. Notable improvements in HIV testing rates, innovative interventions to increase condom use, and reduced PrEP costs will be key to achieving the 50% incidence reduction goal. Modelling studies incorporating stakeholders' perspectives and health system assessments can bring added value to HIV policy making.

fundingNational Institutes of Health.

Indexed as

Sex WorkersTransgender PersonsCost-Benefit AnalysisFemaleHIV InfectionsHumansMaleModels, TheoreticalPeruPreventive Health ServicesProgram Evaluation

Identifiers

PMID30683587
PMCPMC6447307
OpenAlexW2913109430

What OpenQuestion holds

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LicenceCC BY
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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.