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Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model

We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only t...

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Autores principales: Buchanan, Ashley L., Park, Carolyn J., Bessey, Sam, Goedel, William C., Murray, Eleanor J., Friedman, Samuel R., Halloran, M. Elizabeth, Katenka, Natallia V., Marshall, Brandon D. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723998/
https://www.ncbi.nlm.nih.gov/pubmed/36305040
http://dx.doi.org/10.1017/S0950268822001650
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author Buchanan, Ashley L.
Park, Carolyn J.
Bessey, Sam
Goedel, William C.
Murray, Eleanor J.
Friedman, Samuel R.
Halloran, M. Elizabeth
Katenka, Natallia V.
Marshall, Brandon D. L.
author_facet Buchanan, Ashley L.
Park, Carolyn J.
Bessey, Sam
Goedel, William C.
Murray, Eleanor J.
Friedman, Samuel R.
Halloran, M. Elizabeth
Katenka, Natallia V.
Marshall, Brandon D. L.
author_sort Buchanan, Ashley L.
collection PubMed
description We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only the individual prescribed, but also their partners and beyond, known as spillover. We simulated a two-stage randomised trial with eligible components (≥3 agents with ≥1 HIV+ agent) first randomised to intervention or control (no PrEP). Within intervention components, agents were randomised to PrEP with coverage of 70%, providing insight into a high PrEP coverage strategy. We evaluated effect modification by component-level characteristics and estimated spillover effects on HIV incidence using an extension of randomisation-based estimators. We observed an attenuation of the spillover effect when agents were in components with a higher prevalence of either drug use or bridging potential (if an agent acts as a mediator between ≥2 connected groups of agents). The estimated spillover effects were larger in magnitude among components with either higher HIV prevalence or greater density (number of existing partnerships compared to all possible partnerships). Consideration of effect modification is important when evaluating the spillover of PrEP among MSM.
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spelling pubmed-97239982022-12-12 Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model Buchanan, Ashley L. Park, Carolyn J. Bessey, Sam Goedel, William C. Murray, Eleanor J. Friedman, Samuel R. Halloran, M. Elizabeth Katenka, Natallia V. Marshall, Brandon D. L. Epidemiol Infect Original Paper We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only the individual prescribed, but also their partners and beyond, known as spillover. We simulated a two-stage randomised trial with eligible components (≥3 agents with ≥1 HIV+ agent) first randomised to intervention or control (no PrEP). Within intervention components, agents were randomised to PrEP with coverage of 70%, providing insight into a high PrEP coverage strategy. We evaluated effect modification by component-level characteristics and estimated spillover effects on HIV incidence using an extension of randomisation-based estimators. We observed an attenuation of the spillover effect when agents were in components with a higher prevalence of either drug use or bridging potential (if an agent acts as a mediator between ≥2 connected groups of agents). The estimated spillover effects were larger in magnitude among components with either higher HIV prevalence or greater density (number of existing partnerships compared to all possible partnerships). Consideration of effect modification is important when evaluating the spillover of PrEP among MSM. Cambridge University Press 2022-10-28 /pmc/articles/PMC9723998/ /pubmed/36305040 http://dx.doi.org/10.1017/S0950268822001650 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Paper
Buchanan, Ashley L.
Park, Carolyn J.
Bessey, Sam
Goedel, William C.
Murray, Eleanor J.
Friedman, Samuel R.
Halloran, M. Elizabeth
Katenka, Natallia V.
Marshall, Brandon D. L.
Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title_full Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title_fullStr Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title_full_unstemmed Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title_short Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model
title_sort spillover benefit of pre-exposure prophylaxis for hiv prevention: evaluating the importance of effect modification using an agent-based model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723998/
https://www.ncbi.nlm.nih.gov/pubmed/36305040
http://dx.doi.org/10.1017/S0950268822001650
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