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 .
Development of an EORTC-8D Utility Algorithm for Sri Lanka
Background . Currently there are no reported cancer-specific health state valuations in low- and middle-income countries using a vali date d preference-based measure . The EORTC-8D , a cancer-specific preference-based measure , has 81,920 health states and is useful for economic evaluations in cancer care . The aim of this study was to develop a utility algorithm to value EORTC-8D health states using preferences derived from a representative population sample in Sri Lanka . Methods . The time-tradeoff method was used to elicit preferences from a general population sample of 780 in Sri Lanka . A block design of 85 health states , with a time horizon of 10 years , was used for the direct valuation . Data were analyzed using generalized least squares with r and om effects . All respondents with at least one logical inconsistency were excluded from the analysis . Results . After logical inconsistencies were excluded , 4520 observations were available from 717 respondents for the analysis . The preferred model specified main effects with an interaction term for any level 4 or worse descriptor within a health state . Worsening of physical functioning had a substantially greater utility decrement than any other dimension in this population . Limitations are that the data collection could not include the whole country and that females formed a large part of the sample . Conclusions . Preference weights for EORTC-8D health states for Sri Lanka have been derived : These will be very useful in economic evaluations of cancer-related interventions in a range of low- and middle-income countries
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 .