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 of the PDQ-39 to EQ-5D scores in patients with Parkinson’s disease
Purpose The EuroQoL ( EQ-5D ) is ideal to compare quality of life across conditions . However , the Parkinson ’s Disease Question naire ( PDQ-39 ) is often the only quality -of-life instrument used in Parkinson ’s disease research . We aim ed to identify associations between PDQ-39 domains and EQ-5D domains , and compare different methods of developing a function to map the PDQ-39 to EQ-5D scores . Methods Adults with Parkinson ’s disease self-completed both instruments . Ordinal regression identified associations between PDQ-39 domain scores and each EQ-5D domain . Modeling ( n = 80 ) and validation sets ( n = 16 ) were r and omly generated . Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores ( using PDQ-39 domains and total score in ordinal and linear regression ) was assessed with the validation set , followed by assessing the equivalence of observed and predicted EQ-5D scores on the full data set controlling for sociodemographic factors . Results Different sets of PDQ-39 domains were associated with each EQ-5D domain . For example , PDQ-39 “ Activities of Daily Living ” and “ Social Support ” were associated with EQ-5D “ Personal Care , ” while PDQ-39 “ Emotional Well-being ” was associated with EQ-5D “ Anxiety/Depression . ” Over one-third ( 37.5 % ) of predictions from ordinal regressions had an error < 0.01 % ( compared to 6.3 % for linear regressions ) . The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution and association with sociodemographic factors to the observed EQ-5D scores . Conclusions Of the four methods tested , using PDQ-39 domains in ordinal regression was superior for mapping EQ-5D scores . The function reported here may prove particularly useful for cost-utility analyses comparing Parkinson ’s disease with other conditions
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 .