Conclusion Various methods have been used at all stages of CSPBM development .
The choice between developing a classification system de novo or from an existing instrument may depend on the availability of a suitable existing measure , while the choice between a decomposed or composite approach appears to be determined primarily by the purpose for which the instrument is design ed .
Background Health state utility values ( HSUVs ) are required to calculate quality -adjusted life-years ( QALYs ) .
They are frequently derived from generic preference-based measures of health .
However , such generic measures may not capture health attributes of relevance to specific conditions .
In such cases , a condition-specific preference-based measure ( CSPBM ) may be more appropriate .
Objective This systematic review aim ed to identify all published accounts of developing CSPBMs to describe and appraise the methods used .
Integrating patient preferences into health outcomes assessment: the multiattribute Asthma Symptom Utility Index.
STUDY OBJECTIVE To develop and evaluate a brief , easy-to-administer symptom assessment scale for use as a preference-based outcome measure in clinical trials and cost-effectiveness studies in asthma . DESIGN Cross-sectional survey with 2-week reproducibility assessment . SETTING Ambulatory care : university asthma and allergy center . PARTICIPANTS One hundred sixty-one adults with asthma , 59 % female , mean age 35+/-11 years . Mean FEV1 percent predicted was 86+/-17 % . INTERVENTIONS The  11-item Asthma Symptom Utility Index ( ASUI ) .  MEASUREMENTS AND RESULTS Mean ASUI score for this sample was 0.71+/-0.23 , with a range from 0.02 to 1.0 . The ASUI was reproducible ( intraclass correlation coefficient = 0.74 ) and able to distinguish patients known to differ on disease severity according to clinician ratings ( p < 0.001 ) and by an asthma disease severity scale score ( p < 0.001 ) . The instrument was also significantly correlated with FEV1 percent predicted ( r = 0.27 , p < 0.001 ) , the Asthma Quality of Life Question naire ( r = 0.77 , p < 0.001 ) , and the Health Utilities Index Mark 2 ( r = 0.36 , p < 0.001 ) . CONCLUSION The results of this study support the reliability and validity of the ASUI , suggesting it will be a useful , complementary patient outcome measure for clinical trials and cost-effectiveness studies comparing treatment alternatives for persons with asthma
Conclusion Various methods have been used at all stages of CSPBM development .
The choice between developing a classification system de novo or from an existing instrument may depend on the availability of a suitable existing measure , while the choice between a decomposed or composite approach appears to be determined primarily by the purpose for which the instrument is design ed .
Background Health state utility values ( HSUVs ) are required to calculate quality -adjusted life-years ( QALYs ) .
They are frequently derived from generic preference-based measures of health .
However , such generic measures may not capture health attributes of relevance to specific conditions .
In such cases , a condition-specific preference-based measure ( CSPBM ) may be more appropriate .
Objective This systematic review aim ed to identify all published accounts of developing CSPBMs to describe and appraise the methods used .