Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis

© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Aim: The aim of this study is to provide a synthesis of prior research of estimates of the willingness to pay (WTP) for chronic disease treatment and examines the impact of economic and political institutions, cultures, and other importa...

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Main Author: Mayula Chaikumbung
Format: Journal
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/70900
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-709002020-10-14T08:44:25Z Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis Mayula Chaikumbung Medicine © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Aim: The aim of this study is to provide a synthesis of prior research of estimates of the willingness to pay (WTP) for chronic disease treatment and examines the impact of economic and political institutions, cultures, and other important factors on WTP. Subject and method: The paper applies meta-regression analysis to 1053 estimates of WTP from 188 medical treatment studies from 40 countries. Results: The results suggest that patients assign higher values for medical treatment in more capitalistic and more democratic countries. Cultural traits also appear to matter, with higher WTP in societies characterized by individualism and indulgence. Further, disease types matter. Compared to cancer, WTP is lower for diabetes, obesity, asthma, and heart disease treatment, but higher for amyotrophic lateral sclerosis therapy. GDP per capita is positively associated with WTP. The higher public health expenditure is in a country, the higher citizens value health benefits. If individuals expect to live longer, then they will spend less on their health. The published studies estimate a lower value than unpublished studies. Conclusion: This paper presents a comprehensive synthesis of estimates of chronically ill patients’ WTP for medical treatment and identifies the key factors determining WTP through a meta-regression analysis. The main finding is that economic and political institutions, cultural traits, the types of disease, socio-economic characteristics, and valuation methods all influence WTP estimates. 2020-10-14T08:44:25Z 2020-10-14T08:44:25Z 2020-01-01 Journal 16132238 21981833 2-s2.0-85088864767 10.1007/s10389-020-01372-2 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088864767&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70900
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Medicine
spellingShingle Medicine
Mayula Chaikumbung
Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
description © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Aim: The aim of this study is to provide a synthesis of prior research of estimates of the willingness to pay (WTP) for chronic disease treatment and examines the impact of economic and political institutions, cultures, and other important factors on WTP. Subject and method: The paper applies meta-regression analysis to 1053 estimates of WTP from 188 medical treatment studies from 40 countries. Results: The results suggest that patients assign higher values for medical treatment in more capitalistic and more democratic countries. Cultural traits also appear to matter, with higher WTP in societies characterized by individualism and indulgence. Further, disease types matter. Compared to cancer, WTP is lower for diabetes, obesity, asthma, and heart disease treatment, but higher for amyotrophic lateral sclerosis therapy. GDP per capita is positively associated with WTP. The higher public health expenditure is in a country, the higher citizens value health benefits. If individuals expect to live longer, then they will spend less on their health. The published studies estimate a lower value than unpublished studies. Conclusion: This paper presents a comprehensive synthesis of estimates of chronically ill patients’ WTP for medical treatment and identifies the key factors determining WTP through a meta-regression analysis. The main finding is that economic and political institutions, cultural traits, the types of disease, socio-economic characteristics, and valuation methods all influence WTP estimates.
format Journal
author Mayula Chaikumbung
author_facet Mayula Chaikumbung
author_sort Mayula Chaikumbung
title Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
title_short Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
title_full Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
title_fullStr Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
title_full_unstemmed Institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
title_sort institutions, culture, and chronically ill patients’ willingness to pay for medical treatment: a meta-regression analysis
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088864767&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70900
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