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 .
Predicting Health-Utility Scores From the Cervical Spine Outcomes Questionnaire in a Multicenter Nationwide Study of Anterior Cervical Spine Surgery
Study Design . Cross-sectional analysis of the Cervical Spine Research Society Outcomes Study , a longitudinal multicenter cohort study . Objective . To provide a statistical model for estimating health utility from the Cervical Spine Outcomes Question naire ( CSOQ ) domain scores . Summary of Background Data . There is consensus among health-policy research ers that the results of economic evaluations of health can be reported in quality -adjusted life-years ( QALY ) . The CSOQ is a condition-specific instrument that assesses individuals across several domains , including neck and arm/shoulder pain and psychological distress . Methods . The  CSOQ and 36-Item Short Form Health Survey ( SF-36 )  were prospect ively administered before surgery ( within 4 weeks ) and after surgery ( at 3 , 6 , and 24 months ) to individuals undergoing anterior cervical decompression and fusion for degenerative disc disease of the cervical spine . Using methods reported by Brazier et al , health utility ( SF-6D ) was estimated using the SF-36 . Regression analyses were used on a training data set ( n = 164 ) to compute the SF-6D from the domain scores of the CSOQ . A validation data set ( n = 328 ) was used to estimate the SF-6D for comparison to the calculated health utility from the SF-36 . Results . Domain scores were moderately correlated with health utility ( SF-6D ) ( P < 0.001 ) with correlation coefficients ranging from 0.48 to 0.70 . The regression equation to predict SF-6D on the basis of CSOQ domain scores and patient age using the training data set accounted for 65 % of the variation in health utility . In the validation data set , predicted SF-6D was positively correlated with observed SF-6D ( r = 0.680 , P < 0.001 ) . Conclusion . Our findings show that the CSOQ 's domain scores can be used to estimate health-utility scores among those undergoing elective anterior cervical decompression and fusion for cervical degenerative disc disease . The ability to assess health utility , coupled with the psychometric properties of the CSOQ , should increase the clinical utility of this patient-reported outcomes instrument
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 .