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

Clinical criteria/Family history-based <i>BRCA</i> testing misses a large proportion of <i>BRCA</i> carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based <i>BRCA</i> testing in general population women across di...

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Main Authors: Ranjit Manchanda, Li Sun, Shreeya Patel, Olivia Evans, Janneke Wilschut, Ana Carolina De Freitas Lopes, Faiza Gaba, Adam Brentnall, Stephen Duffy, Bin Cui, Patricia Coelho De Soarez, Zakir Husain, John Hopper, Zia Sadique, Asima Mukhopadhyay, Li Yang, Johannes Berkhof, Rosa Legood
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/7/1929
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language English
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sources DOAJ
author Ranjit Manchanda
Li Sun
Shreeya Patel
Olivia Evans
Janneke Wilschut
Ana Carolina De Freitas Lopes
Faiza Gaba
Adam Brentnall
Stephen Duffy
Bin Cui
Patricia Coelho De Soarez
Zakir Husain
John Hopper
Zia Sadique
Asima Mukhopadhyay
Li Yang
Johannes Berkhof
Rosa Legood
spellingShingle Ranjit Manchanda
Li Sun
Shreeya Patel
Olivia Evans
Janneke Wilschut
Ana Carolina De Freitas Lopes
Faiza Gaba
Adam Brentnall
Stephen Duffy
Bin Cui
Patricia Coelho De Soarez
Zakir Husain
John Hopper
Zia Sadique
Asima Mukhopadhyay
Li Yang
Johannes Berkhof
Rosa Legood
Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
Cancers
BRCA
population testing
cost-effectiveness
ovarian cancer
breast cancer
cancer prevention
author_facet Ranjit Manchanda
Li Sun
Shreeya Patel
Olivia Evans
Janneke Wilschut
Ana Carolina De Freitas Lopes
Faiza Gaba
Adam Brentnall
Stephen Duffy
Bin Cui
Patricia Coelho De Soarez
Zakir Husain
John Hopper
Zia Sadique
Asima Mukhopadhyay
Li Yang
Johannes Berkhof
Rosa Legood
author_sort Ranjit Manchanda
title Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
title_short Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
title_full Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
title_fullStr Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
title_full_unstemmed Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health Systems
title_sort economic evaluation of population-based <i>brca1/brca2</i> mutation testing across multiple countries and health systems
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-07-01
description Clinical criteria/Family history-based <i>BRCA</i> testing misses a large proportion of <i>BRCA</i> carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based <i>BRCA</i> testing in general population women across different countries/health systems. A Markov model comparing the lifetime costs and effects of <i>BRCA1/BRCA2</i> 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. <i>BRCA</i> 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 <i>BRCA</i> 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 <i>BRCA</i> 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). <i>BRCA</i> testing costs below $172/test (ICER = $19,685/QALY), which makes it cost-effective (from a societal perspective) for LMIC/India. Population-based <i>BRCA</i> 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 <i>BRCA</i> 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.
topic BRCA
population testing
cost-effectiveness
ovarian cancer
breast cancer
cancer prevention
url https://www.mdpi.com/2072-6694/12/7/1929
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spelling doaj-8abf9ef457f243079f3da107132984392020-11-25T03:05:18ZengMDPI AGCancers2072-66942020-07-01121929192910.3390/cancers12071929Economic Evaluation of Population-Based <i>BRCA1/BRCA2</i> Mutation Testing across Multiple Countries and Health SystemsRanjit Manchanda0Li Sun1Shreeya Patel2Olivia Evans3Janneke Wilschut4Ana Carolina De Freitas Lopes5Faiza Gaba6Adam Brentnall7Stephen Duffy8Bin Cui9Patricia Coelho De Soarez10Zakir Husain11John Hopper12Zia Sadique13Asima Mukhopadhyay14Li Yang15Johannes Berkhof16Rosa Legood17Wolfson Institute for Preventive Medicine, CRUK Barts Cancer Centre, Queen Mary University of London, London EC1M 6BQ, UKWolfson Institute for Preventive Medicine, CRUK Barts Cancer Centre, Queen Mary University of London, London EC1M 6BQ, UKWolfson Institute for Preventive Medicine, CRUK Barts Cancer Centre, Queen Mary University of London, London EC1M 6BQ, UKWolfson Institute for Preventive Medicine, CRUK Barts Cancer Centre, Queen Mary University of London, London EC1M 6BQ, UKDepartment of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, NetherlandsDepartamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, 01246903 Sao Paulo, BrazilWolfson Institute for Preventive Medicine, CRUK Barts Cancer Centre, Queen Mary University of London, London EC1M 6BQ, UKCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UKCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UKSchool of Public Health, Peking University, Beijing 100191, ChinaDepartamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, 01246903 Sao Paulo, BrazilDepartment of Humanities & Social Sciences, Indian Institute of Technology, Kharagpur, West Bengal 721302, IndiaCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Victoria 3010, AustraliaDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UKTata Medical Centre, Kolkata, West Bengal 700160, IndiaSchool of Public Health, Peking University, Beijing 100191, ChinaDepartment of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, NetherlandsDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UKClinical criteria/Family history-based <i>BRCA</i> testing misses a large proportion of <i>BRCA</i> carriers who can benefit from screening/prevention. We estimate the cost-effectiveness of population-based <i>BRCA</i> testing in general population women across different countries/health systems. A Markov model comparing the lifetime costs and effects of <i>BRCA1/BRCA2</i> 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. <i>BRCA</i> 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 <i>BRCA</i> 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 <i>BRCA</i> 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). <i>BRCA</i> testing costs below $172/test (ICER = $19,685/QALY), which makes it cost-effective (from a societal perspective) for LMIC/India. Population-based <i>BRCA</i> 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 <i>BRCA</i> 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.https://www.mdpi.com/2072-6694/12/7/1929BRCApopulation testingcost-effectivenessovarian cancerbreast cancercancer prevention