Cargando…

Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa

BACKGROUND: Whereas 72% of hepatitis C virus (HCV)-infected people worldwide live in low- and middle-income countries (LMICs), only 6% of them have been diagnosed. Innovative technologies for HCV diagnosis provide opportunities for developing testing strategies more adapted to resource-constrained s...

Descripción completa

Detalles Bibliográficos
Autores principales: Duchesne, Léa, Hejblum, Gilles, Njouom, Richard, Touré Kane, Coumba, Toni, Thomas d’Aquin, Moh, Raoul, Sylla, Babacar, Rouveau, Nicolas, Attia, Alain, Lacombe, Karine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446873/
https://www.ncbi.nlm.nih.gov/pubmed/32833976
http://dx.doi.org/10.1371/journal.pone.0238035
_version_ 1783574206214045696
author Duchesne, Léa
Hejblum, Gilles
Njouom, Richard
Touré Kane, Coumba
Toni, Thomas d’Aquin
Moh, Raoul
Sylla, Babacar
Rouveau, Nicolas
Attia, Alain
Lacombe, Karine
author_facet Duchesne, Léa
Hejblum, Gilles
Njouom, Richard
Touré Kane, Coumba
Toni, Thomas d’Aquin
Moh, Raoul
Sylla, Babacar
Rouveau, Nicolas
Attia, Alain
Lacombe, Karine
author_sort Duchesne, Léa
collection PubMed
description BACKGROUND: Whereas 72% of hepatitis C virus (HCV)-infected people worldwide live in low- and middle-income countries (LMICs), only 6% of them have been diagnosed. Innovative technologies for HCV diagnosis provide opportunities for developing testing strategies more adapted to resource-constrained settings. However, studies about their economic feasibility in LMICs are lacking. METHODS: Adopting a health sector perspective in Cameroon, Cote-d'Ivoire, and Senegal, a decision tree model was developed to compare 12 testing strategies with the following characteristics: a one-step or two-step testing sequence, HCV-RNA or HCV core antigen as confirmative biomarker, laboratory or point-of-care (POC) tests, and venous blood samples or dried blood spots (DBS). Outcomes measures were the number of true positives (TPs), cost per screened individual, incremental cost-effectiveness ratios, and nationwide budget. Corresponding time horizon was immediate, and outcomes were accordingly not discounted. Detailed sensitivity analyses were conducted. FINDINGS: In the base-case, a two-step POC-based strategy including anti-HCV antibody (HCV-Ab) and HCV-RNA testing had the lowest cost, €8.18 per screened individual. Assuming a lost-to-follow-up rate after screening > 1.9%, a DBS-based laboratory HCV-RNA after HCV-Ab POC testing was the single un-dominated strategy, requiring an additional cost of €3653.56 per additional TP detected. Both strategies would require 8–25% of the annual public health expenditure of the study countries for diagnosing 30% of HCV-infected individuals. Assuming a seroprevalence > 46.9% or a cost of POC HCV-RNA < €7.32, a one-step strategy based on POC HCV-RNA dominated the two-step POC-based strategy but resulted in many more false-positive cases. CONCLUSIONS: POC HCV-Ab followed by either POC- or DBS-based HCV-RNA testing would be the most cost-effective strategies in the study countries. Without a substantial increase in funding for health or a dramatic decrease in assay prices, HCV testing would constitute an economic barrier to the implementation of HCV elimination programs in LMICs.
format Online
Article
Text
id pubmed-7446873
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-74468732020-08-26 Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa Duchesne, Léa Hejblum, Gilles Njouom, Richard Touré Kane, Coumba Toni, Thomas d’Aquin Moh, Raoul Sylla, Babacar Rouveau, Nicolas Attia, Alain Lacombe, Karine PLoS One Research Article BACKGROUND: Whereas 72% of hepatitis C virus (HCV)-infected people worldwide live in low- and middle-income countries (LMICs), only 6% of them have been diagnosed. Innovative technologies for HCV diagnosis provide opportunities for developing testing strategies more adapted to resource-constrained settings. However, studies about their economic feasibility in LMICs are lacking. METHODS: Adopting a health sector perspective in Cameroon, Cote-d'Ivoire, and Senegal, a decision tree model was developed to compare 12 testing strategies with the following characteristics: a one-step or two-step testing sequence, HCV-RNA or HCV core antigen as confirmative biomarker, laboratory or point-of-care (POC) tests, and venous blood samples or dried blood spots (DBS). Outcomes measures were the number of true positives (TPs), cost per screened individual, incremental cost-effectiveness ratios, and nationwide budget. Corresponding time horizon was immediate, and outcomes were accordingly not discounted. Detailed sensitivity analyses were conducted. FINDINGS: In the base-case, a two-step POC-based strategy including anti-HCV antibody (HCV-Ab) and HCV-RNA testing had the lowest cost, €8.18 per screened individual. Assuming a lost-to-follow-up rate after screening > 1.9%, a DBS-based laboratory HCV-RNA after HCV-Ab POC testing was the single un-dominated strategy, requiring an additional cost of €3653.56 per additional TP detected. Both strategies would require 8–25% of the annual public health expenditure of the study countries for diagnosing 30% of HCV-infected individuals. Assuming a seroprevalence > 46.9% or a cost of POC HCV-RNA < €7.32, a one-step strategy based on POC HCV-RNA dominated the two-step POC-based strategy but resulted in many more false-positive cases. CONCLUSIONS: POC HCV-Ab followed by either POC- or DBS-based HCV-RNA testing would be the most cost-effective strategies in the study countries. Without a substantial increase in funding for health or a dramatic decrease in assay prices, HCV testing would constitute an economic barrier to the implementation of HCV elimination programs in LMICs. Public Library of Science 2020-08-24 /pmc/articles/PMC7446873/ /pubmed/32833976 http://dx.doi.org/10.1371/journal.pone.0238035 Text en © 2020 Duchesne 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Duchesne, Léa
Hejblum, Gilles
Njouom, Richard
Touré Kane, Coumba
Toni, Thomas d’Aquin
Moh, Raoul
Sylla, Babacar
Rouveau, Nicolas
Attia, Alain
Lacombe, Karine
Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title_full Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title_fullStr Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title_full_unstemmed Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title_short Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa
title_sort model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis c virus infection in central and western africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446873/
https://www.ncbi.nlm.nih.gov/pubmed/32833976
http://dx.doi.org/10.1371/journal.pone.0238035
work_keys_str_mv AT duchesnelea modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT hejblumgilles modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT njouomrichard modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT tourekanecoumba modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT tonithomasdaquin modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT mohraoul modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT syllababacar modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT rouveaunicolas modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT attiaalain modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica
AT lacombekarine modelbasedcosteffectivenessestimatesoftestingstrategiesfordiagnosinghepatitiscvirusinfectionincentralandwesternafrica