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Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems

Clinical criteria/Family history-based BRCA testing misses a large proportion of BRCA carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based BRCA testing in general population women across different countries/health systems. A Markov model comparin...

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Autores principales: Manchanda, Ranjit, Sun, Li, Patel, Shreeya, Evans, Olivia, Wilschut, Janneke, De Freitas Lopes, Ana Carolina, Gaba, Faiza, Brentnall, Adam, Duffy, Stephen, Cui, Bin, Coelho De Soarez, Patricia, Husain, Zakir, Hopper, John, Sadique, Zia, Mukhopadhyay, Asima, Yang, Li, Berkhof, Johannes, Legood, Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409094/
https://www.ncbi.nlm.nih.gov/pubmed/32708835
http://dx.doi.org/10.3390/cancers12071929
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author Manchanda, Ranjit
Sun, Li
Patel, Shreeya
Evans, Olivia
Wilschut, Janneke
De Freitas Lopes, Ana Carolina
Gaba, Faiza
Brentnall, Adam
Duffy, Stephen
Cui, Bin
Coelho De Soarez, Patricia
Husain, Zakir
Hopper, John
Sadique, Zia
Mukhopadhyay, Asima
Yang, Li
Berkhof, Johannes
Legood, Rosa
author_facet Manchanda, Ranjit
Sun, Li
Patel, Shreeya
Evans, Olivia
Wilschut, Janneke
De Freitas Lopes, Ana Carolina
Gaba, Faiza
Brentnall, Adam
Duffy, Stephen
Cui, Bin
Coelho De Soarez, Patricia
Husain, Zakir
Hopper, John
Sadique, Zia
Mukhopadhyay, Asima
Yang, Li
Berkhof, Johannes
Legood, Rosa
author_sort Manchanda, Ranjit
collection PubMed
description Clinical criteria/Family history-based BRCA testing misses a large proportion of BRCA carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based BRCA testing in general population women across different countries/health systems. A Markov model comparing the lifetime costs and effects of BRCA1/BRCA2 testing all general population women ≥30 years compared with clinical criteria/FH-based testing. Separate analyses are undertaken for the UK/USA/Netherlands (high-income countries/HIC), China/Brazil (upper–middle income countries/UMIC) and India (low–middle income countries/LMIC) using both health system/payer and societal perspectives. BRCA carriers undergo appropriate screening/prevention interventions to reduce breast cancer (BC) and ovarian cancer (OC) risk. Outcomes include OC, BC, and additional heart disease deaths and incremental cost-effectiveness ratio (ICER)/quality-adjusted life year (QALY). Probabilistic/one-way sensitivity analyses evaluate model uncertainty. For the base case, from a societal perspective, we found that population-based BRCA testing is cost-saving in HIC (UK-ICER = $−5639/QALY; USA-ICER = $−4018/QALY; Netherlands-ICER = $−11,433/QALY), and it appears cost-effective in UMIC (China-ICER = $18,066/QALY; Brazil-ICER = $13,579/QALY), but it is not cost-effective in LMIC (India-ICER = $23,031/QALY). From a payer perspective, population-based BRCA testing is highly cost-effective in HIC (UK-ICER = $21,191/QALY, USA-ICER = $16,552/QALY, Netherlands-ICER = $25,215/QALY), and it is cost-effective in UMIC (China-ICER = $23,485/QALY, Brazil−ICER = $20,995/QALY), but it is not cost-effective in LMIC (India-ICER = $32,217/QALY). BRCA testing costs below $172/test (ICER = $19,685/QALY), which makes it cost-effective (from a societal perspective) for LMIC/India. Population-based BRCA testing can prevent an additional 2319 to 2666 BC and 327 to 449 OC cases per million women than the current clinical strategy. Findings suggest that population-based BRCA testing for countries evaluated is extremely cost-effective across HIC/UMIC health systems, is cost-saving for HIC health systems from a societal perspective, and can prevent tens of thousands more BC/OC cases.
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spelling pubmed-74090942020-08-26 Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems Manchanda, Ranjit Sun, Li Patel, Shreeya Evans, Olivia Wilschut, Janneke De Freitas Lopes, Ana Carolina Gaba, Faiza Brentnall, Adam Duffy, Stephen Cui, Bin Coelho De Soarez, Patricia Husain, Zakir Hopper, John Sadique, Zia Mukhopadhyay, Asima Yang, Li Berkhof, Johannes Legood, Rosa Cancers (Basel) Article Clinical criteria/Family history-based BRCA testing misses a large proportion of BRCA carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based BRCA testing in general population women across different countries/health systems. A Markov model comparing the lifetime costs and effects of BRCA1/BRCA2 testing all general population women ≥30 years compared with clinical criteria/FH-based testing. Separate analyses are undertaken for the UK/USA/Netherlands (high-income countries/HIC), China/Brazil (upper–middle income countries/UMIC) and India (low–middle income countries/LMIC) using both health system/payer and societal perspectives. BRCA carriers undergo appropriate screening/prevention interventions to reduce breast cancer (BC) and ovarian cancer (OC) risk. Outcomes include OC, BC, and additional heart disease deaths and incremental cost-effectiveness ratio (ICER)/quality-adjusted life year (QALY). Probabilistic/one-way sensitivity analyses evaluate model uncertainty. For the base case, from a societal perspective, we found that population-based BRCA testing is cost-saving in HIC (UK-ICER = $−5639/QALY; USA-ICER = $−4018/QALY; Netherlands-ICER = $−11,433/QALY), and it appears cost-effective in UMIC (China-ICER = $18,066/QALY; Brazil-ICER = $13,579/QALY), but it is not cost-effective in LMIC (India-ICER = $23,031/QALY). From a payer perspective, population-based BRCA testing is highly cost-effective in HIC (UK-ICER = $21,191/QALY, USA-ICER = $16,552/QALY, Netherlands-ICER = $25,215/QALY), and it is cost-effective in UMIC (China-ICER = $23,485/QALY, Brazil−ICER = $20,995/QALY), but it is not cost-effective in LMIC (India-ICER = $32,217/QALY). BRCA testing costs below $172/test (ICER = $19,685/QALY), which makes it cost-effective (from a societal perspective) for LMIC/India. Population-based BRCA testing can prevent an additional 2319 to 2666 BC and 327 to 449 OC cases per million women than the current clinical strategy. Findings suggest that population-based BRCA testing for countries evaluated is extremely cost-effective across HIC/UMIC health systems, is cost-saving for HIC health systems from a societal perspective, and can prevent tens of thousands more BC/OC cases. MDPI 2020-07-17 /pmc/articles/PMC7409094/ /pubmed/32708835 http://dx.doi.org/10.3390/cancers12071929 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Manchanda, Ranjit
Sun, Li
Patel, Shreeya
Evans, Olivia
Wilschut, Janneke
De Freitas Lopes, Ana Carolina
Gaba, Faiza
Brentnall, Adam
Duffy, Stephen
Cui, Bin
Coelho De Soarez, Patricia
Husain, Zakir
Hopper, John
Sadique, Zia
Mukhopadhyay, Asima
Yang, Li
Berkhof, Johannes
Legood, Rosa
Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title_full Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title_fullStr Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title_full_unstemmed Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title_short Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems
title_sort economic evaluation of population-based brca1/brca2 mutation testing across multiple countries and health systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409094/
https://www.ncbi.nlm.nih.gov/pubmed/32708835
http://dx.doi.org/10.3390/cancers12071929
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