Cultural beliefs, utility values, and health technology assessment

Abstract Background Health-care utilities differ considerably from country to country. Our objective was to examine the association of cultural values based on Hofstede’s cultural dimensions’ theory with utility values that were identified using the time trade off method. Methods We performed a lite...

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Main Authors: Jörg Mahlich, Piyameth Dilokthornsakul, Rosarin Sruamsiri, Nathorn Chaiyakunapruk
Format: Article
Language:English
Published: BMC 2018-06-01
Series:Cost Effectiveness and Resource Allocation
Online Access:http://link.springer.com/article/10.1186/s12962-018-0103-1
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spelling doaj-e647dd0a913345618fca285d555157a12020-11-24T22:06:51ZengBMCCost Effectiveness and Resource Allocation1478-75472018-06-011611810.1186/s12962-018-0103-1Cultural beliefs, utility values, and health technology assessmentJörg Mahlich0Piyameth Dilokthornsakul1Rosarin Sruamsiri2Nathorn Chaiyakunapruk3Health Economics, Janssen Pharmaceutical KKCenter of Pharmaceutical Outcomes Research, Naresuan UniversityHealth Economics, Janssen Pharmaceutical KKCenter of Pharmaceutical Outcomes Research, Naresuan UniversityAbstract Background Health-care utilities differ considerably from country to country. Our objective was to examine the association of cultural values based on Hofstede’s cultural dimensions’ theory with utility values that were identified using the time trade off method. Methods We performed a literature search to determine preference-based value algorithms in the general population of a given country. We then fitted a second-order quadratic function to assess the utility function curve that links health status with health-care utilities. We ranked the countries according to the concavity and convexity properties of their utility functions and compared this ranking with that of the Hofstede index to check if there were any similarities. Results We identified 10 countries with an EQ-5D-5L-based value set and 7 countries with an EQ-5D-3L-based value set. Japan’s degree of concavity was highest, while Germany’s was lowest, based on the EQ-5D-3L and EQ-5D-5L value sets. Japan also ranked first in the Hofstede long-term orientation index, and rankings related to the degree of concavity, indicating a low time preference rate. Conclusions This is the first evaluation to identify and report an association between different cultural beliefs and utility values. These findings underline the necessity to take local values into consideration when designing health technology assessment systems.http://link.springer.com/article/10.1186/s12962-018-0103-1
collection DOAJ
language English
format Article
sources DOAJ
author Jörg Mahlich
Piyameth Dilokthornsakul
Rosarin Sruamsiri
Nathorn Chaiyakunapruk
spellingShingle Jörg Mahlich
Piyameth Dilokthornsakul
Rosarin Sruamsiri
Nathorn Chaiyakunapruk
Cultural beliefs, utility values, and health technology assessment
Cost Effectiveness and Resource Allocation
author_facet Jörg Mahlich
Piyameth Dilokthornsakul
Rosarin Sruamsiri
Nathorn Chaiyakunapruk
author_sort Jörg Mahlich
title Cultural beliefs, utility values, and health technology assessment
title_short Cultural beliefs, utility values, and health technology assessment
title_full Cultural beliefs, utility values, and health technology assessment
title_fullStr Cultural beliefs, utility values, and health technology assessment
title_full_unstemmed Cultural beliefs, utility values, and health technology assessment
title_sort cultural beliefs, utility values, and health technology assessment
publisher BMC
series Cost Effectiveness and Resource Allocation
issn 1478-7547
publishDate 2018-06-01
description Abstract Background Health-care utilities differ considerably from country to country. Our objective was to examine the association of cultural values based on Hofstede’s cultural dimensions’ theory with utility values that were identified using the time trade off method. Methods We performed a literature search to determine preference-based value algorithms in the general population of a given country. We then fitted a second-order quadratic function to assess the utility function curve that links health status with health-care utilities. We ranked the countries according to the concavity and convexity properties of their utility functions and compared this ranking with that of the Hofstede index to check if there were any similarities. Results We identified 10 countries with an EQ-5D-5L-based value set and 7 countries with an EQ-5D-3L-based value set. Japan’s degree of concavity was highest, while Germany’s was lowest, based on the EQ-5D-3L and EQ-5D-5L value sets. Japan also ranked first in the Hofstede long-term orientation index, and rankings related to the degree of concavity, indicating a low time preference rate. Conclusions This is the first evaluation to identify and report an association between different cultural beliefs and utility values. These findings underline the necessity to take local values into consideration when designing health technology assessment systems.
url http://link.springer.com/article/10.1186/s12962-018-0103-1
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