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Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies
- Title
- Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies
- Authors
- Yang Z.; Purba F.D.; Shafie A.A.; Igarashi A.; Wong E.L.-Y.; Lam H.; Van Minh H.; Lin H.-W.; Ahn J.; Pattanaphesaj J.; Jo M.-W.; Mai V.Q.; Busschbach J.; Luo N.; Jiang J.
- Ewha Authors
- 안정훈
- SCOPUS Author ID
- 안정훈

- Issue Date
- 2022
- Journal Title
- Quality of Life Research
- ISSN
- 0962-9343
- Citation
- Quality of Life Research vol. 31, no. 7, pp. 2175 - 2187
- Keywords
- Asian; DCE; EQ-5D; Health preference
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Indexed
- SCIE; SSCI; SCOPUS

- Document Type
- Article
- Abstract
- Introduction: Many countries have established their own EQ-5D value sets proceeding on the basis that health preferences differ among countries/populations. So far, published studies focused on comparing value set using TTO data. This study aims to compare the health preferences among 11 Asian populations using the DCE data collected in their EQ-5D-5L valuation studies. Methods: In the EQ-VT protocol, 196 pairs of EQ-5D-5L health states were valued by a general population sample using DCE method for all studies. DCE data were obtained from the study PI. To understand how the health preferences are different/similar with each other, the following analyses were done: (1) the statistical difference between the coefficients; (2) the relative importance of the five EQ-5D dimensions; (3) the relative importance of the response levels. Results: The number of statistically differed coefficients between two studies ranged from 2 to 16 (mean: 9.3), out of 20 main effects coefficients. For the relative importance, there is not a universal preference pattern that fits all studies, but with some common characteristics, e.g. mobility is considered the most important; the relative importance of levels are approximately 20% for level 2, 30% for level 3, 70% for level 4 for all studies. Discussion: Following a standardized study protocol, there are still considerable differences in the modeling and relative importance results in the EQ-5D-5L DCE data among 11 Asian studies. These findings advocate the use of local value set for calculating health state utility. © 2022, The Author(s).
- DOI
- 10.1007/s11136-021-03075-x
- Appears in Collections:
- 신산업융합대학 > 융합보건학과 > Journal papers
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