Objective:Time trade-off was employed to measure health state utilities associated with treatment attributes of hemophilia A patients to provide parameters for economic evaluations.Methods:Patients were recruited through patient organization and blood center of Shandong to measure health state utility values for 10 health states.Results:The utility values of preventive treatments for severe,moderate,and mild hemophilia A were 0.644,0.738,and 0.815,respectively.Compared with injections at 2-day intervals,the utility values were increased by 0.044 and 0.092 at 3-and 4-day intervals,respectively.Taking"severe hemophilia A patients injected every 2 days"as the base state,the disutility values for spontaneous bleeding and traumatic bleeding were 0.226 and 0.172.The disutility values for mild,moderate,and severe bleeding were 0.052,0.159,and 0.476,respectively,and the magnitude of the decrease gradually increased.Conclusion:Treatment attributes have an impact on patient preferences and more attention should be paid in pharmacoeconomic evaluations.

Objective:Time trade-off was employed to measure health state utilities associated with treatment attributes of hemophilia A patients to provide parameters for economic evaluations.Methods:Patients were recruited through patient organization and blood center of Shandong to measure health state utility values for 10 health states.Results:The utility values of preventive treatments for severe,moderate,and mild hemophilia A were 0.644,0.738,and 0.815,respectively.Compared with injections at 2-day intervals,the utility values were increased by 0.044 and 0.092 at 3-and 4-day intervals,respectively.Taking"severe hemophilia A patients injected every 2 days"as the base state,the disutility values for spontaneous bleeding and traumatic bleeding were 0.226 and 0.172.The disutility values for mild,moderate,and severe bleeding were 0.052,0.159,and 0.476,respectively,and the magnitude of the decrease gradually increased.Conclusion:Treatment attributes have an impact on patient preferences and more attention should be paid in pharmacoeconomic evaluations.