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 from disease-specific measures to health-state utility values in individuals with migraine.
OBJECTIVE The objective of this study was to develop empirical algorithms that estimate health-state utility values from disease-specific quality -of-life scores in individuals with migraine . METHODS Data from a cross-sectional , multicountry study were used . Individuals with episodic and chronic migraine were r and omly assigned to training or validation sample s. Spearman 's correlation coefficients between paired EuroQol five-dimensional ( EQ-5D ) question naire utility values and both Headache Impact Test ( HIT-6 ) scores and Migraine-Specific Quality -of-Life Question naire version 2.1 ( MSQ ) domain scores ( role restrictive , role preventive , and emotional function ) were examined . Regression models were constructed to estimate EQ-5D question naire utility values from the HIT-6 score or the MSQ domain scores . Preferred algorithms were confirmed in the validation sample s. RESULTS In episodic migraine , the preferred HIT-6 and MSQ algorithms explained 22 % and 25 % of the variance ( R(2 ) ) in the training sample s , respectively , and had similar prediction errors ( root mean square errors of 0.30 ) . In chronic migraine , the preferred HIT-6 and MSQ algorithms explained 36 % and 45 % of the variance in the training sample s , respectively , and had similar prediction errors ( root mean square errors 0.31 and 0.29 ) . In episodic and chronic migraine , no statistically significant differences were observed between the mean observed and the mean estimated EQ-5D question naire utility values for the preferred HIT-6 and MSQ algorithms in the validation sample s. CONCLUSIONS The relationship between the EQ-5D question naire and the HIT-6 or the MSQ is adequate to use regression equations to estimate EQ-5D question naire utility values . The preferred HIT-6 and MSQ algorithms will be useful in estimating health-state utilities in migraine trials in which no preference-based measure is present
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 .