The impact of risk on preference values: implications for evaluations of XXXX therapy.

@entity1 @entity0 @entity301 @entity170 @entity173 @entity441
OBJECTIVE: The objective was to assess the impact of different levels of risk of disease on a @entity1 's preferences for health states. @entity1 were provided with health scenarios incorporating different levels of lifetime risks for @entity0 , @entity173 , and @entity301 ( @entity301 ). In this way, we were able to determine the incremental effect of changes in risks of each disease on preference values. METHODS AND DATA: Preference values and utility scores were obtained for six health scenarios by both the feeling thermometer (FT) and standard gamble (SG) methods. Scenarios presented the different lifetime risks of @entity301 , @entity0 , and @entity173 associated with and not associated with long-term use of hormone replacement therapy (HRT) and @entity441 . Risks of @entity0 were based on perceived risks and population risks. The sample population consisted of 40 healthy female volunteers aged between 45 and 65 years randomly selected from the Ottawa-Carleton district. RESULTS: Based on their perceived risk of @entity0 , the @entity1 had higher value scores for the @entity441 risk profile than for both HRT (p = .002) and no therapy (p = .003), with similar results for analyses based on population risks and from utility scores. Regression analysis showed that the risk of @entity0 (p < .001) was the only disease risk that was statistically significantly associated with @entity1 's preferences. CONCLUSIONS: @entity1 had significant preferences over the different risk profiles, primarily due to the incremental effect on changes in values for the risk of @entity0 . Therefore, studies evaluating therapies for @entity170 should consider @entity1 preferences for living with different risk profiles.
