ArticleInternational journal of health policy and management2024
Valuing SF-6Dv2 Using a Discrete Choice Experiment in a General Population in Quebec, Canada.
Article in International journal of health policy and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Deriving a Korean SF-6Dv2 Value Set Using a Discrete Choice Experiment with Duration.PharmacoEconomics · 2026Article
- Utility score mapping from FACT-G to EQ-5D-5L and SF-6Dv2 in breast and colorectal cancer patients: a focus on beta mixture models.Health and quality of life outcomes · 2025Article
- Optimizing presentation formats for SF-6Dv2 health status valuation: a qualitative study using cognitive interviews.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods.Health and quality of life outcomes · 2025Article
- Assessing the Direct Impact of Death on Discrete Choice Experiment Utilities.Applied health economics and health policy · 2025Article
- Health utility scores of six common cancers in China measured by SF-6Dv2.Health and quality of life outcomes · 2025Article
- Assessing the reliability and responsiveness of the SF-6Dv2 and comparing its validity to the EQ-5D-5L among colorectal cancer patients in China.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn updated version of the Short-Form 6-Dimension (SF-6D) Classification System has been developed. This new version (SF-6Dv2) with improved consistency and dimension descriptors is now requiring the development of new utility value sets. The aim of this study was to estimate an SF-6Dv2 value set from a general population in Quebec, Canada.
methodsA discrete choice experiment with time trade-off (DCE
resultsThe survey was completed online by 1208 participants and 1153 were included for analysis. The model combining Design 1 and 2 data was considered as the best fitting model for estimating the final value set. It provided a value set with logical consistent coefficients and showed the lowest standard errors. Values ranged from -0.683 for the worst health state (555655) to 1 for full health (111111), with 13.01% of the values being negative. Preference values were the most affected by pain dimension and the least by vitality dimension. Preference heterogeneity existed for all the most severe levels of dimensions.
conclusionThis study provided the SF-6Dv2 value set for use in Quebec, Canada. The recommended value set is the anchored consistent model combining data from Design 1 and 2 using a conditional logit.
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