Journal
GENETICS IN MEDICINE
Volume 23, Issue 1, Pages 155-162Publisher
ELSEVIER SCIENCE INC
DOI: 10.1038/s41436-020-00949-2
Keywords
genomics; preferences; personal utility; neurodevelopmental disorders; children
Categories
Funding
- National Health and Medical Research Council (NHMRC) grant [1113531]
- Australian Government's Medical Research Future Fund (MRFF)
- Victorian Government's Operational Infrastructure Support Program
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The study used a discrete choice experiment to estimate the societal value of genomic sequencing for pediatric neurological disorders in Australia. Results showed statistically significant preferences for genomic sequencing across all attributes, with society willing to pay more for this service compared to standard care. Decision makers should consider a wide range of risks and benefits associated with genomic information to ensure fair prioritization.
Purpose To estimate the value of genomic sequencing for complex pediatric neurological disorders of suspected genetic origin. Methods A discrete choice experiment (DCE) was undertaken to elicit societal preferences and values. A Bayesian D-efficient and explicit partial profile design was used. The design included 72 choice tasks, split across six blocks, with eight attributes (three overlapping per choice task) and three alternatives. Choice data were analyzed using a panel error component mixed logit model and a latent class model. Preference heterogeneity according to personal socioeconomic, demographic, and attitudinal characteristics was explored using linear and fractional logistic regressions. Results In total, 820 members of the Australian public were recruited. Statistically significant preferences were identified across all eight DCE attributes. We estimated that society on average would be willing to pay AU$5650 more (95% confidence interval [CI]: AU$5500 to $5800) (US$3955 [95% CI: US$3850 to $4060]) for genomic sequencing relative to standard care. Preference heterogeneity was identified for some personal characteristics. Conclusion On average, society highly values all diagnostic, process, clinical, and nonclinical components of personal utility. To ensure fair prioritization of genomics, decision makers need to consider the wide range of risks and benefits associated with genomic information.
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