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Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment

This study enumerated patients’ preference-based personal utility and willingness-to-pay for massively parallel sequencing (MPS) genetic testing of colorectal cancer (CRC) risk. Our setting was the New Exome Technology in (NEXT) Medicine Study, a randomized control trial of usual care genetic testin...

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Autores principales: Weymann, Deirdre, Veenstra, David L., Jarvik, Gail P., Regier, Dean A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117311/
https://www.ncbi.nlm.nih.gov/pubmed/29802320
http://dx.doi.org/10.1038/s41431-018-0161-z
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author Weymann, Deirdre
Veenstra, David L.
Jarvik, Gail P.
Regier, Dean A.
author_facet Weymann, Deirdre
Veenstra, David L.
Jarvik, Gail P.
Regier, Dean A.
author_sort Weymann, Deirdre
collection PubMed
description This study enumerated patients’ preference-based personal utility and willingness-to-pay for massively parallel sequencing (MPS) genetic testing of colorectal cancer (CRC) risk. Our setting was the New Exome Technology in (NEXT) Medicine Study, a randomized control trial of usual care genetic testing vs. exome sequencing. Using a discrete choice experiment (DCE), we elicited patient preferences for information on genetic causes of CRC. We estimated personal utility for the following four attributes: proportion of individuals with a genetic cause of CRC who receive a diagnosis, number of tests used, wait time for results, and cost. A total of 122 patients completed our DCE (66% response rate). On average, patients preferred genetic tests identifying more individuals with a diagnosis and involving a shorter wait time. Assuming MPS identifies more individuals with a Mendelian form of CRC risk, involves fewer tests, and results in a shorter wait than traditional diagnostic testing, average willingness-to-pay (WTP) for MPS ranged from US$400 (95% CI: $300, $500) to US$1541 (95% CI: $1224, $1859). These results indicate that patients value information on genetic causes of CRC and replacing traditional diagnostic testing with MPS testing will increase patients’ utility. Future research exploring the costs and benefits of MPS for CRC risk is warranted.
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spelling pubmed-61173112018-08-31 Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment Weymann, Deirdre Veenstra, David L. Jarvik, Gail P. Regier, Dean A. Eur J Hum Genet Article This study enumerated patients’ preference-based personal utility and willingness-to-pay for massively parallel sequencing (MPS) genetic testing of colorectal cancer (CRC) risk. Our setting was the New Exome Technology in (NEXT) Medicine Study, a randomized control trial of usual care genetic testing vs. exome sequencing. Using a discrete choice experiment (DCE), we elicited patient preferences for information on genetic causes of CRC. We estimated personal utility for the following four attributes: proportion of individuals with a genetic cause of CRC who receive a diagnosis, number of tests used, wait time for results, and cost. A total of 122 patients completed our DCE (66% response rate). On average, patients preferred genetic tests identifying more individuals with a diagnosis and involving a shorter wait time. Assuming MPS identifies more individuals with a Mendelian form of CRC risk, involves fewer tests, and results in a shorter wait than traditional diagnostic testing, average willingness-to-pay (WTP) for MPS ranged from US$400 (95% CI: $300, $500) to US$1541 (95% CI: $1224, $1859). These results indicate that patients value information on genetic causes of CRC and replacing traditional diagnostic testing with MPS testing will increase patients’ utility. Future research exploring the costs and benefits of MPS for CRC risk is warranted. Springer International Publishing 2018-05-25 2018-09 /pmc/articles/PMC6117311/ /pubmed/29802320 http://dx.doi.org/10.1038/s41431-018-0161-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Weymann, Deirdre
Veenstra, David L.
Jarvik, Gail P.
Regier, Dean A.
Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title_full Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title_fullStr Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title_full_unstemmed Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title_short Patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
title_sort patient preferences for massively parallel sequencing genetic testing of colorectal cancer risk: a discrete choice experiment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117311/
https://www.ncbi.nlm.nih.gov/pubmed/29802320
http://dx.doi.org/10.1038/s41431-018-0161-z
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