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 .
Using EQ-5D to derive general population-based utilities for the quality of life assessment of growth hormone deficiency in adults (QoL-AGHDA).
OBJECTIVE Disease-oriented quality of life ( QoL ) measures that are not preference-based lack legitimacy for direct use in cost-utility analyses . This has prompted the search for other methods for deriving utilities . The QoL Assessment of Growth Hormone Deficiency in Adults question naire ( QoL-AGHDA ) is a disease-oriented measure used to assess impairment in QoL in adults with growth hormone deficiency . The present study was design ed to generate a model for deriving utilities from the QoL-AGHDA . METHODS The EQ-5D , the QoL-AGHDA , and demographic questions were mailed to a r and om sample ( n = 3005 ) of the Swedish population ( response rate 65 % ) .  Multiple regression analysis was used to obtain cross-vali date d parameters of QoL-AGHDA-based utilities . Two models were developed ( simple and full versions ) . The simple version used the EQ-5D(index ) ( derived from European values ) as the dependent variable , and age , sex , and QoL-AGHDA score as independent variables in a regression analysis . The full model utilized all available demographic information . The QoL-AGHDA scores were thus transformed into a single score ( 0 - 1 ) , corresponding to the QoL-AGHDA-based utility . RESULTS The simple transformation algorithm was U ( QoL-AGHDA-based utilities ) = 1.05 - 0.0189 x QoL-AGHDA score - 0.00238 x age - 0.0127 x sex ( male = 0 ; female = 1 ) . The mean of the weighted estimate for the population ( n = 1752 ) was 0.85 ( SD 0.10 ) . The estimate for men ( n = 861 ; mean 0.86 ; SD 0.10 ) was higher ( P < 0.001 ) than for women ( n = 891 ; mean 0.84 ; SD 0.10 ) . CONCLUSION For practical reasons , the simple model can be recommended for deriving utilities directly from the QoL-AGHDA for the Swedish population
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 .