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 .
Mapping utility scores from the Barthel index
Purpose It is not always possible to collect utility-based outcome data , like EQ-5D , needed for conducting economic evaluations in population s of older people . Sometimes , information on other non-utility outcome measures may have been collected . This paper examines the possibility of mapping the EQ-5D from a non-utility-based outcome , the Barthel index . Methods Data for 1,189 UK intermediate care patients were used .  Ordinary least squares ( OLS ) , censored least absolute deviations ( CLAD ) estimator and multinomial logistic ( ML ) models were used . The mean absolute error ( MAE ) and root-mean-squared error ( RMSE ) were used to estimate the predictive accuracy of eight regression models . Validation of primary models was carried out on r and om sample s of data collected at admission and discharge . Results Models where the EQ-5D was entered as a continuous dependent variable and Barthel dimensions used as explanatory variables performed better . CLAD performed best on MAE and OLS on the RMSE , while the ML performed the worst on both measures . The CLAD predicted EQ-5D scores that matched the observed values more closely than the OLS . Conclusions It is possible to reasonably predict that the EQ-5D from the Barthel using regression methods and the CLAD model ( 4 ) is recommended
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 .