Estimating an EQ‐5D population value set: the case of Japan

Abstract

Thirdly, using alternative models, the predictions are improved so that the local Japanese value set achieves MAE in the order of 0.01.

Regional differences in health status in China: Population health-related quality of life results from the National Health Services Survey 2008

“…A large ceiling effect (a large proportion of the population tending to report good health, which here refers to reporting no problems in any EQ-5D dimensions) as found in our study (87%) has also been observed in other studies including Chinese populations, in China (Wang et al, 2005), as well as in US (Fu & Kattan, 2006;Lubetkin et al, 2005) and Canada (Leung et al, 2007). This was also the case in a study in Japan (Tsuchiya et al, 2002) and in Malaysia (Shafie et al, 2010).…”

“…EQ-5D population health studies have been performed mostly in Europe (Burström, Johannesson, & Diderichsen, 2001;Kind, Dolan, Gudex, & Williams, 1998;König et al, 2009;Sorensen, Davidsen, Gudex, Pedersen, & Bronnum-Hansen, 2009;Szende & Williams, 2004), USA (Fryback, Dunham, Palta, Hanmer, Buechner, & Cherepanov, 2007;Lubetkin, Jia, Franks, & Gold, 2005;Luo, Johnson, Shaw, Feeny, & Coons, 2005), Canada (Leung, Luo, So, & Quan, 2007) and Asia (Kil, Lee, Yun, An, & Jo, 2008;Shafie, Hassali, & Liau, 2010;Ting, Tarn, Ching, Liou, Shaw, & Chiou, 2007;Tsuchiya, & et al, 2002), including China (Sun et al, 2010;Wang, David, Mullahy, & Mullahy, 2005). Studies among other Chinese populations have also been performed in Singapore (Luo, Chew, Fong, Koh, Ng, & Yoon, 2003), the USA (Lubetkin et al, 2007;Luo et al, 2005) and Canada (Leung et al, 2007).…”

Estimating a preference-based index from the Japanese SF-36

“…The reasons for these differences with the UK are not clear, but are similar to the findings of the Japanese valuation of the EQ-5D [6]. The differences may arise from the translation not being linguistically equivalent, though this was minimised in earlier work with the SF-36.…”

“…The respondent was asked to rank a set of nine cards: one for each of the intermediate health states they would have to value (6), along with the best state defined by the SF-6D, the worst state and being dead. Next respondents were asked to value health states using a variant of the SG that uses a Chance Board to display probabilities.…”

“…[3] Given the high cost of undertaking valuation surveys, early work using preference-based measures has tended to use the valuation results from just one or two countries, which for the EQ-5D [4] and SF-6D has been the UK and for the HUI [5] has been Canada. However, significant differences have been found between countries, for example values obtained in the UK EQ-5D surveys and those from Japan [6] and USA [7] and between Canadian values for the HUI2 and those obtained in the UK [8]. This paper presents results from undertaking a valuation of the SF-6D in Japan and compares it to results for the UK.…”