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Related Experiment Videos

Estimating an EQ-5D-5L Value Set for China.

Nan Luo1, Gordon Liu2, Minghui Li3

  • 1Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
|April 15, 2017
PubMed
Summary

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This summary is machine-generated.

This study developed a new EQ-5D-5L value set for China using health preferences from urban residents. The 8-parameter multiplicative model best predicted health state values for economic evaluations.

Area of Science:

  • Health Economics
  • Psychometrics
  • Biostatistics

Background:

  • The EQ-5D-5L is a widely used health status measure.
  • A country-specific value set is needed for accurate economic evaluations in China.
  • Existing value sets may not reflect Chinese health preferences.

Purpose of the Study:

  • To estimate a five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) value set for China.
  • To use health preferences of urban Chinese residents.
  • To inform health technology assessments in China.

Main Methods:

  • Elicited health state values using the time trade-off (TTO) technique from 1271 urban residents across five cities.
  • Utilized computer-assisted personal interviews with 10 TTO tasks per participant.
Keywords:
EQ-5D-5Lcross-validationmodelingtime trade-off

Related Experiment Videos

  • Evaluated additive and multiplicative regression models using cross-validation to determine the best fit.

    • Main Results:

    • 8- and 9-parameter multiplicative models outperformed the additive model in predicting out-of-sample health states.
    • Multiplicative models showed lower standard errors and similar prediction accuracies.
    • The more parsimonious 8-parameter multiplicative model was favored.

    Conclusions:

    • The 8-parameter multiplicative model was selected to generate the EQ-5D-5L value set for China.
    • Recommended using rescaled values (1 for full health) for economic evaluations.
    • This value set will enhance the validity of health technology assessments in China.