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Health Professionals’ Preferences for Next-Generation Sequencing in the Diagnosis of Suspected Genetic Disorders in the Paediatric Population

Articolo
Data di Pubblicazione:
2025
Abstract:
Background/Objectives: Next-generation sequencing (NGS) can explain how genetics influence morbidity and mortality in children. However, it is unclear whether health providers will perceive and use such treatments. We conducted a discrete choice experiment (DCE) to understand Italian health professionals’ preferences for NGS to improve the diagnosis of paediatric genetic diseases. Methods: The DCE was administered online to 125 health professionals in Italy. We documented attributes influencing professionals’ decisions of NGS, including higher diagnostic yield, shorter counselling periods, cost, turnaround time, and the identification of fewer variants of unknown significance. Results: Results show that factors such as higher diagnostic yield, shorter counselling periods, lower costs, and faster turnaround times positively influenced the adoption of NGS tests. Willingness to pay (WTP) estimates varied from EUR 387 (95% CI, 271.8–502.9) for 7% increase in the diagnostic yield to EUR 469 (95% CI, 287.2–744.9) for a decrease of one week in the turnaround time. Responders would reduce diagnostic yield by 7% to decrease the turnaround time by one week in both the preference and the willingness to trade (WTT) spaces. Respondents prioritised diagnostic yield (RI = 50.36%; 95% CI 40.2–67.2%) compared to other attributes. Conclusions: therefore, health professionals value NGS for allowing earlier, more accurate genetic diagnoses.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
NGS tests; discrete choice experiment; health policy; paediatric population; suspected genetic disorders
Elenco autori:
Nurchis, Mario; Altamura, Gerardo; Raspolini, Gian; Capobianco, Enrico; Salmasi, Luca; Damiani, Gianfranco
Autori di Ateneo:
NURCHIS MARIO CESARE
Link alla scheda completa:
https://iris.unilink.it/handle/20.500.14085/36801
Pubblicato in:
JOURNAL OF PERSONALIZED MEDICINE
Journal
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