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 .
A comparison of physician-rated disease severity and patient reported outcomes in mild to moderately active ulcerative colitis.
BACKGROUND AND AIMS The aim was to derive health state utility scores in ulcerative colitis ( UC ) by establishing the relationship between the physician-rated ulcerative colitis disease activity index ( UCDAI ) and a patient reported EQ-5D by statistically mapping the two instruments . METHODS In a r and omised controlled trial comparing oral plus enema mesalazine treatment with oral mesalazine treatment alone ( PINCE ) , UCDAI and EQ-5D scores were collected in parallel from patients with active UC . From these data , multinomial logistic regression was used to estimate response probabilities to each of the five domains of the EQ-5D index from assessment of UC disease severity using original and abbreviated ( no endoscopy ) versions of the UCDAI . Predicted EQ-5D responses were converted by Monte Carlo simulation to the EQ-5D index for predicting health-related quality of life ( HRQoL ) . The reliability of the algorithm was tested using UCDAI scores from a second mesalazine RCT ( PODIUM ) . RESULTS The abbreviated-UCDAI showed comparable explanatory performance to the full UCDAI . For patients in remission , mean utility was 0.939 , 0.944 , and 0.940U for PINCE(estimated ) , PINCE(observed ) , and PODIUM , respectively . Mild/moderate and relapsing cases showed mean utilities of 0.801 , 0.811 , and 0.775 , respectively ; whilst for those in severe relapse , the mean utilities were 0.630 , 0.700 and 0.660 units , respectively . The mean squared error between actual and predicted utilities from observations in PINCE was 0.019 . CONCLUSION Response mapping of UC activity to EQ-5D domains produced reliable estimates of patient-rated health state utility consistent with UCDAI rated severity . Comparing abbreviated-UCDAI and full UCDAI suggests that inclusion of endoscopy scores has limited predictive value in estimating patient
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 .