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. 2017 Mar 25;26(8):2067–2078. doi: 10.1007/s11136-017-1541-5

Table 1.

Characteristics of the five survey datasets

Survey places EuroQol version Self-rating of EQ-5D profile and EQ-VAS Valuation data No. of health states in the TTO Background variablesa Year of survey No. of respondents Exclusion criteria for the valuation study No. of respondents in the valuation data setb Softwarec Health state valuation method
Japan EQ-5D-3L Availabled Available 17 Available 1998 621 Respondents completely missing TTO data; valued 1 or 2 states only; giving all states the same value; valued all states worse than dead 543 STATA Conventional TTO
UK EQ-5D-3L Available Available 42 Available 1993 3395 Missing in valuation data 2997 LIMDEP Conventional TTO
Japan EQ-5D-5L Available Available 86 Available 2014 1098 Three of the investigators (involving 72 respondents) did not follow the survey manual procedures 1026 STATA, SAS, and R Lead time TTO
England EQ-5D-5L Available Available 86 Available 2012–2013 996 Respondents who gave the same TTO value for all health states; giving health state 55555 a value no lower than the value for the mildest health state in their block 912 R and WinBugs Lead time TTO and DCE
Spain EQ-5D-5L Available N/A 86 Available 2012 1000 N/A N/A N/A N/A

N/A not available, TTO time trade-off, DCE discrete choice experiments

aThe background variables include age, gender, experience with serious illness by respondents themselves, their families, and others

bRepresents the number of respondents after applying the exclusion criteria. For the Japanese EQ-5D-3L dataset, this study only has access to the sample that is included in the valuation study (N = 543)

cThe software used for the original analysis in the valuation studies

d‘Available’ and ‘N/A’ refer to the availability of data for this study