Abstract
To quantify physicians’ risk and time preferences and explore the association between the preferences and their willingness to detect and disclose secondary findings (SFs) derived from genome-scale sequencing. We designed a web-based survey incorporating a multiple price list (MPL) as the instrument for risk and time preference measurement. The estimation was under the expected utility theory (EUT) and rank dependent utility (RDU) frameworks, respectively. The isoelastic and power function utility models were applied. We received responses from 87 physicians, among whom 46 completed the questionnaire (a completion rate of 52.9%). We observed positive risk-aversion coefficients under EUT (0.33, 95% CI 0.15–0.51) and RDU (0.51, 95% CI 0.32–0.71), suggesting that physicians were generally risk-averse. Respondents were likely to underestimate probabilities of low to moderate levels, and slightly overestimate high-level probabilities. Physicians supporting the detection and disclosure of SFs had a larger risk-aversion coefficient and a smaller discounting parameter than the non-supporters, suggesting that they were more risk-averse and discounted future utility less. Assuming heterogeneous risk perception, we found respondents underestimated low/moderate risk and slightly overestimated high risk. This study indicates that physicians who are risk-averse and discount future utility slightly are willing to detect and return SFs. The findings contribute to the debate surrounding SF disclosure and generate implications for shared decision-making in clinical genome-scale sequencing.
| Original language | English |
|---|---|
| Pages (from-to) | 25-32 |
| Number of pages | 8 |
| Journal | Pharmacoeconomics and Policy |
| Volume | 1 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
© 2025 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Risk preference
- Time preference
- Behavioural economics
- Secondary findings
- Genome sequencing
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