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Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension


  • Jing Wu

    (Tianjin University
    Tianjin University)

  • Shitong Xie

    (Tianjin University
    Tianjin University)

  • Xiaoning He

    (Tianjin University
    Tianjin University)

  • Gang Chen

    (Centre for Health Economics, Monash University)

  • Gengliang Bai

    (Nanjing University of Chinese Medicine)

  • Da Feng

    (Huazhong University of Science and Technology)

  • Ming Hu

    (Sichuan University)

  • Jie Jiang

    (Jinan University)

  • Xiaohui Wang

    (Lanzhou University)

  • Hongyan Wu

    (Guizhou Medical University)

  • Qunhong Wu

    (Health Management College, Harbin Medical University
    Harbin Medical University)

  • John E. Brazier

    (University of Sheffield)


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 (DCETTO) 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 DCETTO 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 DCETTO. 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 DCETTO, 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 DCETTO was − 0.535 to 1, with a higher WTD of 8.50%. DCETTO 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 DCETTO 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 DCETTO also performed well. Minor issues of non­monotonicity did present for DCETTO.

Suggested Citation

  • Jing Wu & Shitong Xie & Xiaoning He & Gang Chen & Gengliang Bai & Da Feng & Ming Hu & Jie Jiang & Xiaohui Wang & Hongyan Wu & Qunhong Wu & John E. Brazier, 2021. "Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension," PharmacoEconomics, Springer, vol. 39(5), pages 521-535, May.
  • Handle: RePEc:spr:pharme:v:39:y:2021:i:5:d:10.1007_s40273-020-00997-1
    DOI: 10.1007/s40273-020-00997-1

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    References listed on IDEAS

    1. Julie Ratcliffe & John Brazier & Aki Tsuchiya & Tara Symonds & Martin Brown, 2009. "Using DCE and ranking data to estimate cardinal values for health states for deriving a preference‐based single index from the sexual quality of life questionnaire," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1261-1276, November.
    2. Richard Norman & Paula Cronin & Rosalie Viney, 2013. "A Pilot Discrete Choice Experiment to Explore Preferences for EQ-5D-5L Health States," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 287-298, June.
    3. Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
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    Blog mentions

    As found by, the blog aggregator for Economics research:
    1. Journal round-up: PharmacoEconomics 39(5)
      by Don Husereau in The Academic Health Economists' Blog on 2021-07-16 06:00:06

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