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 the Modified Rankin Scale (mRS) Measurement into the Generic EuroQol (EQ-5D) Health Outcome
Background . Mapping disease-specific instruments into generic health outcomes or utility values is an exp and ing field of interest in health economics . This article constructs an algorithm to translate the modified Rankin scale ( mRS ) into EQ-5D utility values . Methods .  mRS and  EQ-5D  information was derived from stroke or transient ischemic attack ( TIA ) patients identified as part of the Oxford Vascular study ( OXVASC ) .  Ordinary least squares ( OLS ) regression was used to predict UK EQ-5D tariffs from mRS scores . An alternative method , using multinomial logistic regression with a Monte Carlo simulation approach ( MLogit ) to predict responses to each EQ-5D question , was also explored . The performance of the models was compared according to the magnitude of their predicted-to-actual mean EQ-5D tariff difference , their mean absolute and mean squared errors ( MAE and MSE ) , and associated 95 % confidence intervals ( CIs ) . Out-of- sample validation was carried out in a subset of coronary disease and peripheral vascular disease ( PVD ) patients also identified as part of OXVASC but not used in the original estimation . Results . The OLS and MLogit yielded similar MAE and MSE in the internal and external validation data sets . Both approaches also underestimated the uncertainty around the actual mean EQ-5D tariff producing tighter 95 % CIs in both data sets . Conclusions . The choice of algorithm will be dependent on the study aim . Individuals outside the United Kingdom may find it more useful to use the multinomial results , which can be used with different country-specific tariff valuations . However , these algorithms should not replace prospect i ve collection of utility data
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 .