Cargando…
Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension
OBJECTIVES: Our objective was to generate a value set for the SF-6Dv2 using time trade-off (TTO) and a discrete-choice experiment with a duration dimension (DCE(TTO)) in China. METHODS: A large representative sample of the Chinese general population was recruited from eight provinces/municipalities...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079294/ https://www.ncbi.nlm.nih.gov/pubmed/33598860 http://dx.doi.org/10.1007/s40273-020-00997-1 |
_version_ | 1783685197173096448 |
---|---|
author | Wu, Jing Xie, Shitong He, Xiaoning Chen, Gang Bai, Gengliang Feng, Da Hu, Ming Jiang, Jie Wang, Xiaohui Wu, Hongyan Wu, Qunhong Brazier, John E. |
author_facet | Wu, Jing Xie, Shitong He, Xiaoning Chen, Gang Bai, Gengliang Feng, Da Hu, Ming Jiang, Jie Wang, Xiaohui Wu, Hongyan Wu, Qunhong Brazier, John E. |
author_sort | Wu, Jing |
collection | PubMed |
description | OBJECTIVES: Our objective was to generate a value set for the SF-6Dv2 using time trade-off (TTO) and a discrete-choice experiment with a duration dimension (DCE(TTO)) in China. METHODS: A large representative sample of the Chinese general population was recruited from eight provinces/municipalities in China, stratified by age, sex, education level, and proportion of urban/rural residence. Respondents completed eight TTO tasks and ten DCE(TTO) tasks during face-to-face interviews. Ordinary least squares (OLS), random-effects, fixed-effects, and Tobit models were used for TTO data, and conditional logit and mixed logit models were used for DCE(TTO). The monotonicity of model coefficients and the consistency of the predicted values according to intraclass correlation coefficient (ICC), mean absolute difference (MAD), and mean squared difference (MSD) were compared between the two approaches. RESULTS: In total, 3320 respondents (50.3% male; range 18–90 years) were recruited. The random-effects model and the conditional logit model were preferred for the TTO and DCE(TTO), respectively. The TTO values ranged from − 0.277 to 1, with 927 (4.94%) states considered as worse than dead (WTD). The corresponding range for DCE(TTO) was − 0.535 to 1, with a higher WTD of 8.50%. DCE(TTO) presented minor nonmonotonicity with the coefficients in two dimensions. Values from the two approaches were highly consistent (ICC 0.9804, MAD 0.0588, MSD 0.0055), albeit those with DCE(TTO) were slightly lower than those with TTO. The value set generated by TTO was preferred given the better monotonicity and the statistical significance of coefficients. CONCLUSIONS: The Chinese value set for the SF-6Dv2 was established based on the TTO approach, but the DCE(TTO) also performed well. Minor issues of nonmonotonicity did present for DCE(TTO). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-020-00997-1. |
format | Online Article Text |
id | pubmed-8079294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80792942021-05-05 Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension Wu, Jing Xie, Shitong He, Xiaoning Chen, Gang Bai, Gengliang Feng, Da Hu, Ming Jiang, Jie Wang, Xiaohui Wu, Hongyan Wu, Qunhong Brazier, John E. Pharmacoeconomics Original Research Article OBJECTIVES: Our objective was to generate a value set for the SF-6Dv2 using time trade-off (TTO) and a discrete-choice experiment with a duration dimension (DCE(TTO)) in China. METHODS: A large representative sample of the Chinese general population was recruited from eight provinces/municipalities in China, stratified by age, sex, education level, and proportion of urban/rural residence. Respondents completed eight TTO tasks and ten DCE(TTO) tasks during face-to-face interviews. Ordinary least squares (OLS), random-effects, fixed-effects, and Tobit models were used for TTO data, and conditional logit and mixed logit models were used for DCE(TTO). The monotonicity of model coefficients and the consistency of the predicted values according to intraclass correlation coefficient (ICC), mean absolute difference (MAD), and mean squared difference (MSD) were compared between the two approaches. RESULTS: In total, 3320 respondents (50.3% male; range 18–90 years) were recruited. The random-effects model and the conditional logit model were preferred for the TTO and DCE(TTO), respectively. The TTO values ranged from − 0.277 to 1, with 927 (4.94%) states considered as worse than dead (WTD). The corresponding range for DCE(TTO) was − 0.535 to 1, with a higher WTD of 8.50%. DCE(TTO) presented minor nonmonotonicity with the coefficients in two dimensions. Values from the two approaches were highly consistent (ICC 0.9804, MAD 0.0588, MSD 0.0055), albeit those with DCE(TTO) were slightly lower than those with TTO. The value set generated by TTO was preferred given the better monotonicity and the statistical significance of coefficients. CONCLUSIONS: The Chinese value set for the SF-6Dv2 was established based on the TTO approach, but the DCE(TTO) also performed well. Minor issues of nonmonotonicity did present for DCE(TTO). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-020-00997-1. Springer International Publishing 2021-02-18 2021 /pmc/articles/PMC8079294/ /pubmed/33598860 http://dx.doi.org/10.1007/s40273-020-00997-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Wu, Jing Xie, Shitong He, Xiaoning Chen, Gang Bai, Gengliang Feng, Da Hu, Ming Jiang, Jie Wang, Xiaohui Wu, Hongyan Wu, Qunhong Brazier, John E. Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title | Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title_full | Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title_fullStr | Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title_full_unstemmed | Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title_short | Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension |
title_sort | valuation of sf-6dv2 health states in china using time trade-off and discrete-choice experiment with a duration dimension |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079294/ https://www.ncbi.nlm.nih.gov/pubmed/33598860 http://dx.doi.org/10.1007/s40273-020-00997-1 |
work_keys_str_mv | AT wujing valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT xieshitong valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT hexiaoning valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT chengang valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT baigengliang valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT fengda valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT huming valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT jiangjie valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT wangxiaohui valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT wuhongyan valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT wuqunhong valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension AT brazierjohne valuationofsf6dv2healthstatesinchinausingtimetradeoffanddiscretechoiceexperimentwithadurationdimension |