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An exploration of the non‐iterative time trade‐off method to value health states

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)...

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Autores principales: Feng, Yan, Hole, Arne Risa, Karimi, Milad, Tsuchiya, Aki, van Hout, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055741/
https://www.ncbi.nlm.nih.gov/pubmed/29774632
http://dx.doi.org/10.1002/hec.3773
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author Feng, Yan
Hole, Arne Risa
Karimi, Milad
Tsuchiya, Aki
van Hout, Ben
author_facet Feng, Yan
Hole, Arne Risa
Karimi, Milad
Tsuchiya, Aki
van Hout, Ben
author_sort Feng, Yan
collection PubMed
description 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.
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spelling pubmed-60557412018-07-23 An exploration of the non‐iterative time trade‐off method to value health states Feng, Yan Hole, Arne Risa Karimi, Milad Tsuchiya, Aki van Hout, Ben Health Econ Research Articles 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. John Wiley and Sons Inc. 2018-05-17 2018-08 /pmc/articles/PMC6055741/ /pubmed/29774632 http://dx.doi.org/10.1002/hec.3773 Text en © 2018 The Authors. Health Economics Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Feng, Yan
Hole, Arne Risa
Karimi, Milad
Tsuchiya, Aki
van Hout, Ben
An exploration of the non‐iterative time trade‐off method to value health states
title An exploration of the non‐iterative time trade‐off method to value health states
title_full An exploration of the non‐iterative time trade‐off method to value health states
title_fullStr An exploration of the non‐iterative time trade‐off method to value health states
title_full_unstemmed An exploration of the non‐iterative time trade‐off method to value health states
title_short An exploration of the non‐iterative time trade‐off method to value health states
title_sort exploration of the non‐iterative time trade‐off method to value health states
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055741/
https://www.ncbi.nlm.nih.gov/pubmed/29774632
http://dx.doi.org/10.1002/hec.3773
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