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Cultural beliefs, utility values, and health technology assessment
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984787/ https://www.ncbi.nlm.nih.gov/pubmed/29881328 http://dx.doi.org/10.1186/s12962-018-0103-1 |
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author | Mahlich, Jörg Dilokthornsakul, Piyameth Sruamsiri, Rosarin Chaiyakunapruk, Nathorn |
author_facet | Mahlich, Jörg Dilokthornsakul, Piyameth Sruamsiri, Rosarin Chaiyakunapruk, Nathorn |
author_sort | Mahlich, Jörg |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5984787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59847872018-06-07 Cultural beliefs, utility values, and health technology assessment Mahlich, Jörg Dilokthornsakul, Piyameth Sruamsiri, Rosarin Chaiyakunapruk, Nathorn Cost Eff Resour Alloc Methodology 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. BioMed Central 2018-06-01 /pmc/articles/PMC5984787/ /pubmed/29881328 http://dx.doi.org/10.1186/s12962-018-0103-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Mahlich, Jörg Dilokthornsakul, Piyameth Sruamsiri, Rosarin Chaiyakunapruk, Nathorn Cultural beliefs, utility values, and health technology assessment |
title | 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_short | Cultural beliefs, utility values, and health technology assessment |
title_sort | cultural beliefs, utility values, and health technology assessment |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984787/ https://www.ncbi.nlm.nih.gov/pubmed/29881328 http://dx.doi.org/10.1186/s12962-018-0103-1 |
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