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The Impact of Risk on Preference Values: Implications for Evaluations of Postmenopausal Osteoporosis Therapy
Authors:Douglas Coyle  MSc  George Wells  PhD  Ian Graham  PhD  Karen M Lee  MA  Joan E Peterson  BA  Emmanuel Papadimitropoulos  PhD
Institution:Departments of Medicine and Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada;;Clinical Epidemiology Unit, Ottawa Health Research Institute, Ottawa Hospital, Ottawa, Ontario, Canada;;Caro Research, Concord, MA;;Eli Lilly Canada Inc, Scarborough, Ontario, Canada
Abstract:Objective: The objective was to assess the impact of different levels of risk of disease on a woman's preferences for health states. Women were provided with health scenarios incorporating different levels of lifetime risks for breast cancer, hip fracture, and coronary heart disease (CHD). 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 CHD, breast cancer, and hip fracture associated with and not associated with long-term use of hormone replacement therapy (HRT) and raloxifene. Risks of breast cancer 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 breast cancer, the women had higher value scores for the raloxifene 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 breast cancer ( p <.001) was the only disease risk that was statistically significantly associated with women's preferences.
Conclusions: Women had significant preferences over the different risk profiles, primarily due to the incremental effect on changes in values for the risk of breast cancer. Therefore, studies evaluating therapies for osteoporosis should consider patient preferences for living with different risk profiles.
Keywords:osteoporosis  risk preference  utility values
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