Cargando…
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)...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783341237010432000 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6055741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fengyan anexplorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT holearnerisa anexplorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT karimimilad anexplorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT tsuchiyaaki anexplorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT vanhoutben anexplorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT fengyan explorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT holearnerisa explorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT karimimilad explorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT tsuchiyaaki explorationofthenoniterativetimetradeoffmethodtovaluehealthstates AT vanhoutben explorationofthenoniterativetimetradeoffmethodtovaluehealthstates |