Cargando…

Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies

BACKGROUND: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given the variety of evidence-based HIV prevention strategies available and the significant resources required to implement each of them, comparative studies are needed to identify how to maximize the numb...

Descripción completa

Detalles Bibliográficos
Autores principales: Kessler, Jason, Myers, Julie E., Nucifora, Kimberly A., Mensah, Nana, Kowalski, Alexis, Sweeney, Monica, Toohey, Christopher, Khademi, Amin, Shepard, Colin, Cutler, Blayne, Braithwaite, R. Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772866/
https://www.ncbi.nlm.nih.gov/pubmed/24058465
http://dx.doi.org/10.1371/journal.pone.0073269
_version_ 1782284375629496320
author Kessler, Jason
Myers, Julie E.
Nucifora, Kimberly A.
Mensah, Nana
Kowalski, Alexis
Sweeney, Monica
Toohey, Christopher
Khademi, Amin
Shepard, Colin
Cutler, Blayne
Braithwaite, R. Scott
author_facet Kessler, Jason
Myers, Julie E.
Nucifora, Kimberly A.
Mensah, Nana
Kowalski, Alexis
Sweeney, Monica
Toohey, Christopher
Khademi, Amin
Shepard, Colin
Cutler, Blayne
Braithwaite, R. Scott
author_sort Kessler, Jason
collection PubMed
description BACKGROUND: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given the variety of evidence-based HIV prevention strategies available and the significant resources required to implement each of them, comparative studies are needed to identify how to maximize the number of HIV cases prevented most economically. METHODS: A new model of HIV disease transmission was developed integrating information from a previously validated micro-simulation HIV disease progression model. Specification and parameterization of the model and its inputs, including the intervention portfolio, intervention effects and costs were conducted through a collaborative process between the academic modeling team and the NYC Department of Health and Mental Hygiene. The model projects the impact of different prevention strategies, or portfolios of prevention strategies, on the HIV epidemic in NYC. RESULTS: Ten unique interventions were able to provide a prevention benefit at an annual program cost of less than $360,000, the threshold for consideration as a cost-saving intervention (because of offsets by future HIV treatment costs averted). An optimized portfolio of these specific interventions could result in up to a 34% reduction in new HIV infections over the next 20 years. The cost-per-infection averted of the portfolio was estimated to be $106,378; the total cost was in excess of $2 billion (over the 20 year period, or approximately $100 million per year, on average). The cost-savings of prevented infections was estimated at more than $5 billion (or approximately $250 million per year, on average). CONCLUSIONS: Optimal implementation of a portfolio of evidence-based interventions can have a substantial, favorable impact on the ongoing HIV epidemic in NYC and provide future cost-saving despite significant initial costs.
format Online
Article
Text
id pubmed-3772866
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37728662013-09-20 Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies Kessler, Jason Myers, Julie E. Nucifora, Kimberly A. Mensah, Nana Kowalski, Alexis Sweeney, Monica Toohey, Christopher Khademi, Amin Shepard, Colin Cutler, Blayne Braithwaite, R. Scott PLoS One Research Article BACKGROUND: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given the variety of evidence-based HIV prevention strategies available and the significant resources required to implement each of them, comparative studies are needed to identify how to maximize the number of HIV cases prevented most economically. METHODS: A new model of HIV disease transmission was developed integrating information from a previously validated micro-simulation HIV disease progression model. Specification and parameterization of the model and its inputs, including the intervention portfolio, intervention effects and costs were conducted through a collaborative process between the academic modeling team and the NYC Department of Health and Mental Hygiene. The model projects the impact of different prevention strategies, or portfolios of prevention strategies, on the HIV epidemic in NYC. RESULTS: Ten unique interventions were able to provide a prevention benefit at an annual program cost of less than $360,000, the threshold for consideration as a cost-saving intervention (because of offsets by future HIV treatment costs averted). An optimized portfolio of these specific interventions could result in up to a 34% reduction in new HIV infections over the next 20 years. The cost-per-infection averted of the portfolio was estimated to be $106,378; the total cost was in excess of $2 billion (over the 20 year period, or approximately $100 million per year, on average). The cost-savings of prevented infections was estimated at more than $5 billion (or approximately $250 million per year, on average). CONCLUSIONS: Optimal implementation of a portfolio of evidence-based interventions can have a substantial, favorable impact on the ongoing HIV epidemic in NYC and provide future cost-saving despite significant initial costs. Public Library of Science 2013-09-13 /pmc/articles/PMC3772866/ /pubmed/24058465 http://dx.doi.org/10.1371/journal.pone.0073269 Text en © 2013 Kessler et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kessler, Jason
Myers, Julie E.
Nucifora, Kimberly A.
Mensah, Nana
Kowalski, Alexis
Sweeney, Monica
Toohey, Christopher
Khademi, Amin
Shepard, Colin
Cutler, Blayne
Braithwaite, R. Scott
Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title_full Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title_fullStr Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title_full_unstemmed Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title_short Averting HIV Infections in New York City: A Modeling Approach Estimating the Future Impact of Additional Behavioral and Biomedical HIV Prevention Strategies
title_sort averting hiv infections in new york city: a modeling approach estimating the future impact of additional behavioral and biomedical hiv prevention strategies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772866/
https://www.ncbi.nlm.nih.gov/pubmed/24058465
http://dx.doi.org/10.1371/journal.pone.0073269
work_keys_str_mv AT kesslerjason avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT myersjuliee avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT nuciforakimberlya avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT mensahnana avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT kowalskialexis avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT sweeneymonica avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT tooheychristopher avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT khademiamin avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT shepardcolin avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT cutlerblayne avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies
AT braithwaiterscott avertinghivinfectionsinnewyorkcityamodelingapproachestimatingthefutureimpactofadditionalbehavioralandbiomedicalhivpreventionstrategies