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Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease
Next generation sequencing (NGS) approaches are moving from research into clinical practice. However, the optimal NGS approach in well-defined adult-onset familial diseases, such as inherited cardiovascular disease, remains unclear. We aimed to determine which attributes encouraged or discouraged th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870981/ https://www.ncbi.nlm.nih.gov/pubmed/31186546 http://dx.doi.org/10.1038/s41431-019-0452-z |
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author | Buchanan, James Blair, Edward Thomson, Kate L. Ormondroyd, Elizabeth Watkins, Hugh Taylor, Jenny C. Wordsworth, Sarah |
author_facet | Buchanan, James Blair, Edward Thomson, Kate L. Ormondroyd, Elizabeth Watkins, Hugh Taylor, Jenny C. Wordsworth, Sarah |
author_sort | Buchanan, James |
collection | PubMed |
description | Next generation sequencing (NGS) approaches are moving from research into clinical practice. However, the optimal NGS approach in well-defined adult-onset familial diseases, such as inherited cardiovascular disease, remains unclear. We aimed to determine which attributes encouraged or discouraged the uptake of genomic tests in this context, and whether this differed by test type. We conducted a web-based discrete choice experiment in health professionals in the UK who order NGS tests for inherited cardiovascular disease. Respondents completed 12 hypothetical choice tasks in which they selected a preferred test from four alternatives: whole genome sequencing, whole exome sequencing, panel testing and genetic testing not indicated. Tests were specified in terms of five attributes: diagnostic yield, detection rate for variants of unknown significance, cost, quantity of counselling received and disclosure of secondary findings. Mixed logit regression analysis was used to analyse the choice data. We found that uptake of NGS increases if tests identify more pathogenic mutations, identify fewer variants of unknown significance, or cost less. Respondents were willing to pay £117 for every 1% increase in diagnostic yield. Considerable heterogeneity was observed around preferences for several test attributes. Overall, panel testing had the highest predicted uptake rate. Our results indicate that NGS tests are valued by health professionals for well-defined adult-onset familial diseases, however, these professionals have strong preferences for panel testing rather than whole genome sequencing and whole exome sequencing. This finding suggests that different uptake rates should be explicitly modelled when designing and evaluating future genomic testing services. |
format | Online Article Text |
id | pubmed-6870981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-68709812019-11-25 Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease Buchanan, James Blair, Edward Thomson, Kate L. Ormondroyd, Elizabeth Watkins, Hugh Taylor, Jenny C. Wordsworth, Sarah Eur J Hum Genet Article Next generation sequencing (NGS) approaches are moving from research into clinical practice. However, the optimal NGS approach in well-defined adult-onset familial diseases, such as inherited cardiovascular disease, remains unclear. We aimed to determine which attributes encouraged or discouraged the uptake of genomic tests in this context, and whether this differed by test type. We conducted a web-based discrete choice experiment in health professionals in the UK who order NGS tests for inherited cardiovascular disease. Respondents completed 12 hypothetical choice tasks in which they selected a preferred test from four alternatives: whole genome sequencing, whole exome sequencing, panel testing and genetic testing not indicated. Tests were specified in terms of five attributes: diagnostic yield, detection rate for variants of unknown significance, cost, quantity of counselling received and disclosure of secondary findings. Mixed logit regression analysis was used to analyse the choice data. We found that uptake of NGS increases if tests identify more pathogenic mutations, identify fewer variants of unknown significance, or cost less. Respondents were willing to pay £117 for every 1% increase in diagnostic yield. Considerable heterogeneity was observed around preferences for several test attributes. Overall, panel testing had the highest predicted uptake rate. Our results indicate that NGS tests are valued by health professionals for well-defined adult-onset familial diseases, however, these professionals have strong preferences for panel testing rather than whole genome sequencing and whole exome sequencing. This finding suggests that different uptake rates should be explicitly modelled when designing and evaluating future genomic testing services. Springer International Publishing 2019-06-11 2019-11 /pmc/articles/PMC6870981/ /pubmed/31186546 http://dx.doi.org/10.1038/s41431-019-0452-z Text en © The Author(s) 2019 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 Buchanan, James Blair, Edward Thomson, Kate L. Ormondroyd, Elizabeth Watkins, Hugh Taylor, Jenny C. Wordsworth, Sarah Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title | Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title_full | Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title_fullStr | Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title_full_unstemmed | Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title_short | Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease |
title_sort | do health professionals value genomic testing? a discrete choice experiment in inherited cardiovascular disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870981/ https://www.ncbi.nlm.nih.gov/pubmed/31186546 http://dx.doi.org/10.1038/s41431-019-0452-z |
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