Cultural Values: Can They Explain Differences in Health Utilities between Countries?
| Autor: | Bram Roudijk, A. Rogier T. Donders, Peep F. M. Stalmeier, Nan Luo, Rosalie Viney, Monica Viegas Andrade, Claire Gudex, Gerard de Pouvourville, Wolfgang Greiner, Luciana Scalone, Aki Tsuchiya, Dominik Golicki, Pedro Ferreira, Valentina Prevolnik-Rupel, Xavier Badia, Ching-Lin Hsieh, Jennifer Jelsma, Marisa Santos, Feng Xie, Fredrick Purba, Shunya Ikeda, Takeru Shiroiwa, Elly Stolk, Min-Woo Jo, Juan-Manuel Ramos-Goñi, Federico Augustovski, Lucila Rey-Ares, Nancy Devlin, Koonal Shah, Juntana Pattanaphesaj, Sirinart Tongsiri |
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| Rok vydání: | 2019 |
| Předmět: |
Male
Health Status Health services purl.org/becyt/ford/3.3 [https] Quality of life (healthcare) All institutes and research themes of the Radboud University Medical Center EQ-5D Environmental health Health care cultural values Cultural values multilevel modelling Humans health utilities Cultural Characteristics business.industry Health Policy Multilevel modelling Other Research Radboud Institute for Health Sciences [Radboudumc 0] Original Articles Health Services Patient Acceptance of Health Care Health Surveys Health states Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] HEALTH UTILITIES Socioeconomic Factors Quality of Life CULTURAL VALUES Health Policy & Services Female purl.org/becyt/ford/3 [https] Business MULTILEVEL MODELLING Facilities and Services Utilization |
| Zdroj: | Medical Decision Making, 39, 5, pp. 605-616 CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET Medical Decision Making Medical Decision Making, 39, 605-616 |
| ISSN: | 0272-989X |
| Popis: | 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. Fil: Roudijk, Bram. Radboud University Medical Center; Países Bajos Fil: Donders, A. Rogier T.. Radboud University Medical Center; Países Bajos Fil: Stalmeier, Peep F. M.. Radboud University Medical Center; Países Bajos Fil: Luo, Nan. Radboud University Medical Center; Países Bajos Fil: Viney, Rosalie. Radboud University Medical Center; Países Bajos Fil: Andrade, Monica Viegas. Radboud University Medical Center; Países Bajos Fil: Gudex, Claire. Radboud University Medical Center; Países Bajos Fil: de Pouvourville, Gerard. Radboud University Medical Center; Países Bajos Fil: Greiner, Wolfgang. Radboud University Medical Center; Países Bajos Fil: Scalone, Luciana. Radboud University Medical Center; Países Bajos Fil: Tsuchiya, Aki. Radboud University Medical Center; Países Bajos Fil: Golicki, Dominik. Radboud University Medical Center; Países Bajos Fil: Ferreira, Pedro. Radboud University Medical Center; Países Bajos Fil: Prevolnik-Rupel, Valentina. Radboud University Medical Center; Países Bajos Fil: Badia, Xavier. Radboud University Medical Center; Países Bajos Fil: Hsieh, Ching-Lin. Radboud University Medical Center; Países Bajos Fil: Jelsma, Jennifer. Radboud University Medical Center; Países Bajos Fil: Santos, Marisa. Radboud University Medical Center; Países Bajos Fil: Xie, Feng. Radboud University Medical Center; Países Bajos Fil: Purba, Fredrick. Radboud University Medical Center; Países Bajos Fil: Ikeda, Shunya. Radboud University Medical Center; Países Bajos Fil: Shiroiwa, Takeru. Radboud University Medical Center; Países Bajos Fil: Stolk, Elly. Radboud University Medical Center; Países Bajos Fil: Jo, Min-Woo. Radboud University Medical Center; Países Bajos Fil: Ramos Goñi, Juan Manuel. Radboud University Medical Center; Países Bajos Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina Fil: Rey Ares, Lucila. Radboud University Medical Center; Países Bajos Fil: Devlin, Nancy. Radboud University Medical Center; Países Bajos Fil: Shah, Koonal. Radboud University Medical Center; Países Bajos Fil: Pattanaphesaj, Juntana. Radboud University Medical Center; Países Bajos Fil: Tongsiri, Sirinart. Radboud University Medical Center; Países Bajos |
| Databáze: | OpenAIRE |
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