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 .
Estimating a preference-based index for a menopause specific health quality of life questionnaire
Background The aim of the study was to develop a menopause-specific , preference-based health-related quality -of-life ( HRQoL ) index reflecting both menopausal symptoms and potential side-effects of Hormone Replacement Therapy ( HRT ) . Methods The study had three phases : the development of a health state classification , a prospect i ve valuation survey and the estimation of a model to interpolate HRQoL indices for all remaining health states as defined by the classification . A menopausal health state classification was developed with seven dimensions : hot flushes , aching joints/muscles , anxious/frightened feelings , breast tenderness , bleeding , vaginal dryness and undesirable and rogenic signs . Each dimension contains between three and five levels and defines a total of 6,075 health states . A sample of 96 health states was selected for the valuation survey . These states were valued by a sample of 229 women aged 45 to 60 , r and omly selected from 6 general practice lists in Sheffield , UK . Respondents were asked to complete a time trade-off ( TTO ) task for nine health states , result ing in an average of 16.5 values for each health state . Results Mean health states valued range from 0.48 to 0.98 ( where 1.0 is full health and zero is for states regarded as equivalent to death ) . Symptoms , as described by the classification system , can be rank-ordered in terms of their impact ( from high to low ) on menopausal HRQoL as follows : aching joints and muscles , bleeding , breast tenderness , anxious or frightened feelings , vaginal dryness , and rogenic signs . Hot flushes did not significantly contribute to model fit . The preferred model produced a mean absolute error of 0.053 , but suffered from bias at both ends of the scale . Conclusion This article presents an attempt to directly value a condition specific health state classification . The overall fit was disappointing , but the results demonstrate that menopausal symptoms are perceived by patients to have a significant impact on utility . The overall effect is modest compared to the more generic health state descriptions such as the EQ-5D . The result ant algorithm generates a preference-based index that can be used economic evaluation and that reflects the impact of this condition
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 .