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Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale.
- Source :
-
The European journal of health economics : HEPAC : health economics in prevention and care [Eur J Health Econ] 2020 Jul; Vol. 21 (5), pp. 787-800. Date of Electronic Publication: 2020 Mar 16. - Publication Year :
- 2020
-
Abstract
- Background: Discrete choice experiments (DCEs) are widely used to elicit health state preferences. However, additional information is required to transform values to a scale with dead valued at 0 and full health valued at 1. This paper presents DCE-VAS, an understandable and easy anchoring method with low participant burden based on the visual analogue scale (VAS).<br />Methods: Responses from 1450 members of the UK general public to a discrete choice experiment (DCE) were analysed using mixed logit models. Latent scale valuations were anchored to a full health = 1, dead = 0 scale using participants' VAS ratings of three states including the dead. The robustness of results was examined. This included a filtering procedure with the influence each individual respondent had on valuation being calculated, and those whose influence was more than two standard deviations away from the mean excluded.<br />Results: Coefficients in all models were in the expected direction and statistically significant. Excluding respondents who self-reported not understanding the VAS task did not significantly influence valuation, but excluding a small number who valued 33333 extremely low did. However, after eight respondents were removed via the filtering procedure, valuations were robust to removing other participants.<br />Conclusion: DCE-VAS is a feasible way of anchoring DCE results to a 0-1 anchored scale with low additional respondent burden.
Details
- Language :
- English
- ISSN :
- 1618-7601
- Volume :
- 21
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- The European journal of health economics : HEPAC : health economics in prevention and care
- Publication Type :
- Academic Journal
- Accession number :
- 32180068
- Full Text :
- https://doi.org/10.1007/s10198-020-01173-0