Conclusions The last 10 years has seen a substantial increase in the number of mapping studies and some evidence of advancement in methods with consideration of models beyond OLS and greater reporting of predictive ability of mapping functions
Background Mapping is an increasingly common method used to predict instrument-specific preference-based health-state utility values ( HSUVs ) from data obtained from another health-related quality of life ( HRQoL ) measure .
There have been several method ological developments in this area since a previous review up to 2007 .
Use of health-related quality of life measures to predict health utility in postmenopausal osteoporotic women: results from the Multiple Outcomes of Raloxifene Evaluation study
Background The aim of this study is to examine the associations between health utility ( HU ) , health-related quality of life ( HRQoL ) , and patient characteristics in postmenopausal osteoporotic ( PMO ) women . Methods Baseline data from a sub sample of 1,245 participants of the Multiple Outcomes of Raloxifene Evaluation study , a r and omized , placebo-controlled , multinational clinical trial to evaluate the safety and efficacy of raloxifene  , were analyzed . The study cohort included 694 participants from non-European Union ( non-EU ) countries and 551 participants from EU countries . All participants with complete baseline HU and HRQoL assessment s were included in the following analyses : 1 ) HU ( HUI or EQ-5D ) and HRQoL ( QualEFFO or OPAQ and NHP ) associations ; 2 ) HU variability explained by HRQoL domains ; and 3 ) the percentage of HU variability explained by statistically significant ( p < 0.05 ) HRQoL domains , after adjusting for baseline characteristics . Results Several domains were significantly associated with HU scores . HU variance was well explained ( 41 % to 61 % ) by 4 to 6 ( p < 0.05 ) significant HRQoL domains . After controlling for baseline characteristics , 48 % to 64 % of the HU variance was well explained by 5 to 7 significant ( p < 0.05 ) HRQoL domains . Additional trend analyses detected statistically significant decreases in HRQoL and HU scores with an increased number of vertebral and non-vertebral fractures . Conclusions Both disease-targeted and generic HRQoL domains were well correlated with HU . A large percentage ( 48 % to 64 % ) of the HU variance was explained by HRQoL , after adjusting for baseline characteristics . Both disease-targeted and generic HRQoL measures were significant predictors of HU . HRQoL and HU scores decreased with increased vertebral and non-vertebral fractures
Conclusions The last 10 years has seen a substantial increase in the number of mapping studies and some evidence of advancement in methods with consideration of models beyond OLS and greater reporting of predictive ability of mapping functions
Background Mapping is an increasingly common method used to predict instrument-specific preference-based health-state utility values ( HSUVs ) from data obtained from another health-related quality of life ( HRQoL ) measure .
There have been several method ological developments in this area since a previous review up to 2007 .