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Golicki Dominik (Medical University of Warsaw), Jakubczyk Michał (Medical University of Warsaw), Niewada Maciej (Medical University of Warsaw, Poland), Wrona Witold (HealthQuest, Warsaw, Poland), Busschbach Jan J.V. (Erasmus University Medical Center, Rotterdam, The Netherlands)
Is Extending of a TTO Experiment to 23 States per Respondent Justifiable? An Empirical Answer from Polish EQ-5D Valuation Study
Journal of Health Policy and Outcomes Research, 2013, nr 1, s. 110-117, rys., tab., bibliogr. 11 poz.
Słowa kluczowe
Zdrowie, Badania empiryczne, Jakość życia
Health, Empirical researches, Quality of life
Background: A population of respondents valued 13 EQ-5D health states, using the time trade-off (TTO) method. In further studies, a higher number of states per respondent (16 or 17) was used. Theoretically, with more states per respondent at hand means more available valuations, i.e. higher model estimation accuracy or a possibility to have fewer respondents in a study. A possible problem with extending TTO may be the physical fatigue of respondents who may simply be too tired to credibly answer subsequent questions. The goal of the study was to evaluate results of TTO experiment expanded to 23 states per respondent in a Polish valuation study. Methods: A total of 6,769 TTO valuations were available from 305 respondents after exclusions. Regression models were designed, explaining the impact of EQ-5D domains on health state and tested the stability of regression coefficients as more TTO experiments from a single respondent were used. We also performed a statistical and graphical comparison of value sets, made of a varying number of TTO experiments. Results: Regression coefficients of two parsimonious models, built on 1st-17th (n=5,009) or 18th-23rd (n=1,760) v did not differ significantly in Chow test (p=0.5521). Similarly, regression coefficients of three parsimonious models built on 1st-5th (n=1,461), 6th-17th (n=3,548) or 18th-23rd (n=1,760) valuations, did not differ significantly in the Chow test (p=0.4334), either. Conclusion: As no systematic changes were found in model parameters, due to TTO experiment extension, no risk of bias or efficiency decrease in model estimation may be assumed. The reported study supports a possibility of more health states per respondent in TTO valuations.(original abstract)
Pełny tekst
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