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 .
Development of a transformation model to derive general population–based utility: Mapping the pruritus–visual analog scale (VAS) to the EQ‐5D utility
RATIONALE , AIMS , AND OBJECTIVES Although nonpreference-based disease-specific measures are widely used in clinical studies , they can not generate utilities for economic evaluation . A solution to this problem is to estimate utilities from disease-specific instruments using the mapping function . This study aim ed to develop a transformation model for mapping the pruritus-visual analog scale ( VAS ) to the EuroQol 5-Dimension 3-Level ( EQ-5D-3L ) utility index in pruritus . METHODS A cross-sectional survey was conducted with a sample ( n = 268 ) drawn from the general population of South Korea . Data were r and omly divided into 2 groups , one for estimating and the other for validating mapping models . To select the best model , we developed and compared 3 separate models using demographic information and the pruritus-VAS as independent variables . The predictive performance was assessed using the mean absolute deviation and root mean square error in a separate data set . RESULTS Among the 3 models , model 2 using age , age squared , sex , and the pruritus-VAS as independent variables had the best performance based on the goodness of fit and model simplicity , with a log likelihood of 187.13 . The 3 models had similar precision errors based on mean absolute deviation and root mean square error in the validation data set . No statistically significant difference was observed between the mean observed and predicted values in all models . CONCLUSIONS In conclusion , model 2 was chosen as the preferred mapping model . Outcomes measured as the pruritus-VAS can be transformed into the EQ-5D-3L utility index using this mapping model , which makes an economic evaluation possible when only pruritus-VAS data are available
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 .