Cultural Values: Can They Explain Differences in Health Utilities between Countries?

Roudijk, B; Donders, ART; Stalmeier, PFM; Luo, N; Viney, R; Andrade, MV; Gudex, C; de Pouvourville, G; Greiner, W; Scalone, L; Tsuchiya, A; Golicki, D; Ferreira, P; Prevolnik-Rupel, V; Badia, X; Hsieh, CL; Jelsma, J; Santos, M; Xie, F; Purba, F; Ikeda, S; Shiroiwa, T; Stolk, E; Jo, MW; Ramos-Goñi, JM; Augustovski, F; Rey-Ares, L; Devlin, N; Shah, K; Pattanaphesaj, J; Tongsiri, S

Cultural Values: Can They Explain Differences in Health Utilities between Countries?

Roudijk, B Donders, ART Stalmeier, PFM Luo, N Viney, R

Andrade, MV Gudex, C de Pouvourville, G Greiner, W Scalone, L Tsuchiya, A Golicki, D Ferreira, P Prevolnik-Rupel, V Badia, X Hsieh, CL Jelsma, J Santos, M Xie, F Purba, F Ikeda, S Shiroiwa, T Stolk, E Jo, MW Ramos-Goñi, JM Augustovski, F Rey-Ares, L Devlin, N Shah, K Pattanaphesaj, J Tongsiri, S

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Publication Type:: Journal Article
Citation:: Medical Decision Making, 2019, 39 (5), pp. 605 - 616
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Roudijk, B	en_US
dc.contributor.author	Donders, ART	en_US
dc.contributor.author	Stalmeier, PFM	en_US
dc.contributor.author	Luo, N	en_US
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635	en_US
dc.contributor.author	Andrade, MV	en_US
dc.contributor.author	Gudex, C	en_US
dc.contributor.author	de Pouvourville, G	en_US
dc.contributor.author	Greiner, W	en_US
dc.contributor.author	Scalone, L	en_US
dc.contributor.author	Tsuchiya, A	en_US
dc.contributor.author	Golicki, D	en_US
dc.contributor.author	Ferreira, P	en_US
dc.contributor.author	Prevolnik-Rupel, V	en_US
dc.contributor.author	Badia, X	en_US
dc.contributor.author	Hsieh, CL	en_US
dc.contributor.author	Jelsma, J	en_US
dc.contributor.author	Santos, M	en_US
dc.contributor.author	Xie, F	en_US
dc.contributor.author	Purba, F	en_US
dc.contributor.author	Ikeda, S	en_US
dc.contributor.author	Shiroiwa, T	en_US
dc.contributor.author	Stolk, E	en_US
dc.contributor.author	Jo, MW	en_US
dc.contributor.author	Ramos-Goñi, JM	en_US
dc.contributor.author	Augustovski, F	en_US
dc.contributor.author	Rey-Ares, L	en_US
dc.contributor.author	Devlin, N	en_US
dc.contributor.author	Shah, K	en_US
dc.contributor.author	Pattanaphesaj, J	en_US
dc.contributor.author	Tongsiri, S	en_US
dc.date.issued	2019-07-01	en_US
dc.identifier.citation	Medical Decision Making, 2019, 39 (5), pp. 605 - 616	en_US
dc.identifier.issn	0272-989X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138573
dc.description.abstract	© The Author(s) 2019. Introduction. Health utilities are widely used in health care. The distributions of utilities differ between countries; some countries more often report worse than dead health states, while mild states are valued more or less the same. We hypothesize that cultural values explain these country-related utility differences. Research Question. What is the effect of sociodemographic background, methodological factors, and cultural values on differences in health utilities? Methods and Analyses. Time tradeoff data from 28 EQ-5D valuation studies were analyzed, together with their sociodemographic variables. The dependent variable was (Formula presented.), the utility difference between mild and severe states. Country-specific cultural variables were taken from the World Values Survey. Multilevel models were used to analyze the effect of sociodemographic background, methodology (3L v. 5L), and cultural values on (Formula presented.). Intraclass correlation (ICC) for country variation was used to assess the impact of the predicting variables on the variation between countries. Results. Substantial variation in (Formula presented.) was found between countries. Adding cultural values did not reduce ICCs for country variation. Sociodemographic background variables were only weakly associated with (Formula presented.) and did not affect the ICC. (Formula presented.) was 0.118 smaller for EQ-5D-5L studies. Discussion. (Formula presented.) varies between countries. These differences were not explained by national cultural values. In conclusion, despite correction for various variables, utility differences between countries remain substantial and unexplained. This justifies the use of country-specific value sets for instruments such as the EQ-5D.	en_US
dc.relation.ispartof	Medical Decision Making	en_US
dc.relation.isbasedon	10.1177/0272989X19841587	en_US
dc.subject.classification	Health Policy & Services	en_US
dc.title	Cultural Values: Can They Explain Differences in Health Utilities between Countries?	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	39	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	1402 Applied Economics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	39	en_US

Abstract:

© The Author(s) 2019. Introduction. Health utilities are widely used in health care. The distributions of utilities differ between countries; some countries more often report worse than dead health states, while mild states are valued more or less the same. We hypothesize that cultural values explain these country-related utility differences. Research Question. What is the effect of sociodemographic background, methodological factors, and cultural values on differences in health utilities? Methods and Analyses. Time tradeoff data from 28 EQ-5D valuation studies were analyzed, together with their sociodemographic variables. The dependent variable was (Formula presented.), the utility difference between mild and severe states. Country-specific cultural variables were taken from the World Values Survey. Multilevel models were used to analyze the effect of sociodemographic background, methodology (3L v. 5L), and cultural values on (Formula presented.). Intraclass correlation (ICC) for country variation was used to assess the impact of the predicting variables on the variation between countries. Results. Substantial variation in (Formula presented.) was found between countries. Adding cultural values did not reduce ICCs for country variation. Sociodemographic background variables were only weakly associated with (Formula presented.) and did not affect the ICC. (Formula presented.) was 0.118 smaller for EQ-5D-5L studies. Discussion. (Formula presented.) varies between countries. These differences were not explained by national cultural values. In conclusion, despite correction for various variables, utility differences between countries remain substantial and unexplained. This justifies the use of country-specific value sets for instruments such as the EQ-5D.

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http://hdl.handle.net/10453/138573