Comparison of online and face-to-face valuation of the EQ-5D-5L using composite time trade-off
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Comparison of online and face‑to‑face valuation of the EQ‑5D‑5L using composite time trade‑off Ruixuan Jiang1 · James Shaw2 · Axel Mühlbacher3 · Todd A. Lee4 · Surrey Walton4 · Thomas Kohlmann5 · Richard Norman6 · A. Simon Pickard4 Accepted: 13 November 2020 © The Author(s) 2020
Abstract Objective The aim of this study was to compare online, unsupervised and face-to-face (F2F), supervised valuation of EQ5D-5L health states using composite time trade-off (cTTO) tasks. Methods The official EuroQol experimental design and valuation protocol for the EQ-5D-5L of 86 health states were implemented in interviewer-assisted, F2F and unsupervised, online studies. Validity of preferences was assessed using prevalence of inconsistent valuations and expected patterns of TTO values. Respondent task engagement was measured using number of trade-offs and time per task. Trading patterns such as better-than-dead only was compared between modes. Value sets were generated using linear regression with a random intercept (RILR). Value set characteristics such as range of scale and dimension ranking were evaluated between modes. Results Five hundred one online and 1,134 F2F respondents completed the surveys. Mean elicited TTO values were higher online than F2F when compared by health state severity. Compared to F2F, a larger proportion of online respondents did not assign the poorest EQ-5D-5L health state (i.e., 55555) the lowest TTO value ([Online] 41.3% [F2F] 12.2%) (p
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