Med Decis Making - A shortcut to mean-based time tradeoff tariffs for the EQ-5D?

Tópicos

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Resumo

CKGROUND: EQ-5D valuation studies are usually performed using the time tradeoff (TTO) method, which is costly and time consuming. We focused on 2 properties that particularly characterize TTO: the initial choice task categorizing health states as better than death (BTD), worse than death (WTD), or equal to death (ETD), and unwillingness to trade (UTT) lifetime to improve health. The aim of this study was to estimate the value of the information to be gained from continuing the conventional TTO tasks beyond the initial question and the extent to which mean-based EQ-5D tariff values could be predicted through a simplified method of categorizing health states into BTD, WTD, ETD, and UTT.METHODS: We used data from the UK EQ-5D valuation study (n = 2997). We designed an abbreviated system with only 4 values (collapsed TTO [cTTO]) based on the 4 response categories and assigned values as follows: WTD = -.5, ETD = 0, BTD = .5, and UTT = 1. Based on the mean cTTO scores for the valued health states, we created a regression-based cTTO tariff, which was compared with the conventional (full) TTO tariff (fTTO) by regressing 1) the fTTO means on cTTO means and 2) the fTTO tariff on the cTTO tariff.RESULTS: WTD values were unrelated to health state severity. Correlation between the means of fTTO and means of cTTO was >.999, and tariff values from fTTO correlated with tariff values from cTTO at r > .999.CONCLUSIONS: Once respondents have classified health states as UTT, BTD, ETD, or WTD, the TTO procedure adds little further information to the tariff values. The WTD task fails to discriminate between good and bad health states. TTO valuation could likely be simplified using cTTO.

Resumo Limpo

ckground eqd valuat studi usual perform use time tradeoff tto method cost time consum focus properti particular character tto initi choic task categor health state better death btd wors death wtd equal death etd unwilling trade utt lifetim improv health aim studi estim valu inform gain continu convent tto task beyond initi question extent meanbas eqd tariff valu predict simplifi method categor health state btd wtd etd uttmethod use data uk eqd valuat studi n design abbrevi system valu collaps tto ctto base respons categori assign valu follow wtd etd btd utt base mean ctto score valu health state creat regressionbas ctto tariff compar convent full tto tariff ftto regress ftto mean ctto mean ftto tariff ctto tariffresult wtd valu unrel health state sever correl mean ftto mean ctto tariff valu ftto correl tariff valu ctto r conclus respond classifi health state utt btd etd wtd tto procedur add littl inform tariff valu wtd task fail discrimin good bad health state tto valuat like simplifi use ctto

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