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ABSTRACT: Purpose
To estimate the personal utility and uptake of genomic sequencing (GS) across pediatric and adult-onset genetic conditions.Methods
Three discrete choice experiment (DCE) surveys were designed and administered to separate representative samples of the Australian public. Bayesian D-efficient explicit partial profile designs were used. Choice data were analyzed using a panel error component random parameter logit model.Results
Overall, 1913 participants completed the pediatric (n = 533), symptomatic adult (n = 700) and at-risk adult (n = 680) surveys. The willingness-to-pay for GS information in pediatric conditions was estimated at $5470-$15,250 (US$3830-$10,675) depending on the benefits of genomic information. Uptake ranged between 60% and 81%. For symptomatic adults, the value of GS was estimated at $1573-$8102 (US$1100-$5671) and uptake at 34-82%. For at-risk adults, GS was valued at $2036-$5004 (US$1425-$3503) and uptake was predicted at 35-61%.Conclusion
There is substantial personal utility in GS, particularly for pediatric conditions. Personal utility increased as the perceived benefits of genomic information increased. The clinical and regulatory context, and individuals' sociodemographic and attitudinal characteristics influenced the value and uptake of GS. Society values highly the diagnostic, clinical, and nonclinical benefits of GS. The personal utility of GS should be considered in health-care decision-making.
SUBMITTER: Goranitis I
PROVIDER: S-EPMC7394876 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Goranitis Ilias I Best Stephanie S Christodoulou John J Stark Zornitza Z Boughtwood Tiffany T
Genetics in medicine : official journal of the American College of Medical Genetics 20200506 8
<h4>Purpose</h4>To estimate the personal utility and uptake of genomic sequencing (GS) across pediatric and adult-onset genetic conditions.<h4>Methods</h4>Three discrete choice experiment (DCE) surveys were designed and administered to separate representative samples of the Australian public. Bayesian D-efficient explicit partial profile designs were used. Choice data were analyzed using a panel error component random parameter logit model.<h4>Results</h4>Overall, 1913 participants completed the ...[more]