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An exploration of the non‐iterative time trade‐off method to value health states
Author(s) -
Feng Yan,
Hole Arne Risa,
Karimi Milad,
Tsuchiya Aki,
Hout Ben
Publication year - 2018
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/hec.3773
Subject(s) - time trade off , pairwise comparison , statistics , econometrics , duration (music) , logistic regression , value (mathematics) , mathematics , computer science , medicine , quality of life (healthcare) , nursing , art , literature
Time Trade‐Off (TTO) usually relies on “iteration,” which is susceptible to bias. Discrete Choice Experiment with duration (or DCE TTO ) is free of such bias, but respondents find this cognitively more challenging. This paper explores non‐iterative TTO with or without lead time: NI(LT)TTO. In NI(LT)TTO, respondents see a series of independent pairwise choices without iteration (similar to DCE TTO ), but one of the two scenarios always involves full health for a shorter duration (similar to TTO). We compare three different “types” of NI(LT)TTO relative to DCE TTO . Each type is presented in two “modes”: (a) verbally tabulated (as in a DCE) and (b) with visual aids (as in a TTO). The study has 8 survey variants, each with 12 experimental choice tasks and a 13th task with a logically determined answer. Data on the 12 experimental choices from an online survey of 6,618 respondents are modelled, by variant, using conditional logistic regressions. The results indicate that NI(LT)TTO is feasible, but some relatively mild states appear to have implausibly low predicted values, and the range of predicted values is much narrower than in DCE TTO . The presentation of NI(LT)TTO tasks needs further improvement.