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 .
Assessing outcomes for cost-utility analysis in mental health interventions: mapping mental health specific outcome measure GHQ-12 onto EQ-5D-3L
Background Many intervention-based studies aim ing to improve mental health do not include a multi-attribute utility instrument ( MAUI ) that produces quality -adjusted life-years ( QALYs ) and it limits the applicability of the health economic analyses . This study aims to develop ‘ crosswalk ’ transformation algorithm between a measure for psychological distress General Health Question naire ( GHQ-12 ) and MAUI EuroQoL ( EQ-5D-3L ) . Methods The study is based on a survey question  naire sent to a r and om sample in four counties in Sweden in 2012 . The survey included  GHQ-12 and EQ-5D instruments  , as well as a question about self-rated health . The EQ-5D index was calculated using the UK and the Swedish tariff values . Two OLS models were used to estimate the EQ-5D health state values using the GHQ-12 as exposure , based on the respondents ( n = 17 , 101 ) of two counties . The algorithms were applied to the data from two other counties , ( n = 15 , 447 ) to check the predictive capacity of the models . Results The final models included gender , age , self-rated health and GHQ-12 scores as a quantitative variable . The regression equations explained 40 % ( UK tariff ) and 46 % ( Swedish tariff ) of the variances . The model showed a satisfying predictive capacity between the observed and the predicted EQ-5D index score , with Pearson correlation = 0.65 and 0.69 for the UK and Swedish models , respectively . Conclusion The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions that use GHQ-12 as a primary outcome where the utility measures are not collected
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 .