Do Discrete Choice Experiments Approaches Perform Better Than Time Trade-Off in Eliciting Health State Utilities? Evidence From SF-6Dv2 in China

Oct 1, 2020, 00:00
10.1016/j.jval.2020.06.010
https://www.valueinhealthjournal.com/article/S1098-3015(20)32206-3/fulltext
Title : Do Discrete Choice Experiments Approaches Perform Better Than Time Trade-Off in Eliciting Health State Utilities? Evidence From SF-6Dv2 in China
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(20)32206-3&doi=10.1016/j.jval.2020.06.010
First page : 1391
Section Title : PREFERENCE-BASED ASSESSMENTS
Open access? : No
Section Order : 1391

Objectives

To explore the acceptability, consistency, and accuracy of eliciting health state utility values using discrete choice experiment (DCE) and DCE with life duration dimension (DCE ) as compared with conventional time trade-off (TTO) by using the SF-6Dv2.

Methods

During face-to-face interviews, a representative sample of the general population in Tianjin, China, completed 8 TTO tasks and 10 DCE/DCE tasks, with the order of TTO and DCE/DCE being randomized. The fixed-effect model and conditional logit models were used for TTO and DCEs data estimation, respectively. Acceptability was assessed by self-reported difficulties in understanding/answering. Consistency was observed by the monotonicity of model coefficients. Accuracy was evaluated by investigating differences between observed and predicted TTO values using intraclass correlation coefficient, mean absolute difference, and root mean square difference.

Results

A total of 503 respondents (53.7% male; range, 18-86 years) were included, with comparable characteristics between respondents who completed DCE (N = 252) and DCE (N = 251). No significant difference was observed in self-reported difficulties among 3 approaches. The monotonicity of coefficients could not be achieved for 2 DCE approaches, even when combining the inconsistent levels. The health state utility values generated by DCE were generally higher than those generated by TTO, whereas DCE was lower than TTO. The TTO had a better prediction accuracy than the DCEs.

Conclusions

Two DCE approaches are feasible for eliciting health state utility values; however, they are not considered to be easier to understand/answer than TTO. There are systematic differences in the health state utility values generated by 3 approaches. The issue of non-monotonicity from 2 DCE approaches remains a concern.

Categories :
  • Decision Modeling & Simulation
  • Instrument Development, Validation, & Translation
  • Patient-Centered Research
  • Study Approaches
Tags :
  • acceptability
  • China
  • discrete choice experiment
  • health state utility
  • short form six-dimension questionnaire
  • time trade-off
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