The measurement of utilities for cost-effectiveness modeling of orphan treatments is very challenging.

This study employs the discrete choice experiment approach to estimate health utility values for atypical hemolytic uremic syndrome-related attributes in different countries for economic modeling.

Among the atypical hemolytic uremic syndrome-related attributes explored in this study, the largest drivers of disutility were the risk of kidney impairment and the risk of meningitis; in addition, a less frequent dosing schedule was preferred.