Evaluation of the OECD countries’ healthcare system from the sustainable development perspective
Abstract Background: In this paper healthcare condition of 31 countries that are the members of Organization for Economic and Co-operative Development (OECD) is measured by considering 14 indicators that are relevant to three main pillars of sustainable development. Method: To estimate the efficienc...
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ftdoajarticles:oai:doaj.org/article:242d82530d0c4a7981527a0351373986 2023-05-15T16:50:53+02:00 Evaluation of the OECD countries’ healthcare system from the sustainable development perspective Mehrdad Jalali Sepehr Abdorrahman Haeri Rouzbeh Ghousi 2019-12-01T00:00:00Z https://doaj.org/article/242d82530d0c4a7981527a0351373986 EN eng Iran University of Science & Technology http://ijiepr.iust.ac.ir/article-1-846-en.html https://doaj.org/toc/2008-4889 https://doaj.org/toc/2345-363X 2008-4889 2345-363X https://doaj.org/article/242d82530d0c4a7981527a0351373986 International Journal of Industrial Engineering and Production Research, Vol 30, Iss 4, Pp 443-464 (2019) pca-dea decision tree analysis oecd countries healthcare well-being exposure to pm2.5 water quality Technology T article 2019 ftdoajarticles 2022-12-31T09:07:11Z Abstract Background: In this paper healthcare condition of 31 countries that are the members of Organization for Economic and Co-operative Development (OECD) is measured by considering 14 indicators that are relevant to three main pillars of sustainable development. Method: To estimate the efficiency scores, Principle Component Analysis-Data Envelopment Analysis PCA-DEA additive model in both forms of envelopment and multiplier is used to determine efficiency scores and also to define benchmarks and improvement plan for the inefficient countries. Then Decision Tree Analysis is also used to realize that which factors were the most influential ones to make a county an efficient Decision Making Unit (DMU). Results: According to the PCA-DEA additive model, among 31 OECD countries, 16 countries have become inefficient, that USA have taken the lowest efficiency score, and among efficient countries Iceland could be considered as a paragon which has the highest frequency between the countries that are defined as the benchmarks. Decision tree analysis also show that exposure to PM2.5 is an influential factor on the efficiency status of countries. Conclusion: This research gives an insight about the sustainable development and healthcare system and show the impressive effect of environmental and social factors like: exposure to PM2.5 and water quality, population insurance coverage, and AIDS on the healthcare efficiency of OECD countries Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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pca-dea decision tree analysis oecd countries healthcare well-being exposure to pm2.5 water quality Technology T |
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pca-dea decision tree analysis oecd countries healthcare well-being exposure to pm2.5 water quality Technology T Mehrdad Jalali Sepehr Abdorrahman Haeri Rouzbeh Ghousi Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
topic_facet |
pca-dea decision tree analysis oecd countries healthcare well-being exposure to pm2.5 water quality Technology T |
description |
Abstract Background: In this paper healthcare condition of 31 countries that are the members of Organization for Economic and Co-operative Development (OECD) is measured by considering 14 indicators that are relevant to three main pillars of sustainable development. Method: To estimate the efficiency scores, Principle Component Analysis-Data Envelopment Analysis PCA-DEA additive model in both forms of envelopment and multiplier is used to determine efficiency scores and also to define benchmarks and improvement plan for the inefficient countries. Then Decision Tree Analysis is also used to realize that which factors were the most influential ones to make a county an efficient Decision Making Unit (DMU). Results: According to the PCA-DEA additive model, among 31 OECD countries, 16 countries have become inefficient, that USA have taken the lowest efficiency score, and among efficient countries Iceland could be considered as a paragon which has the highest frequency between the countries that are defined as the benchmarks. Decision tree analysis also show that exposure to PM2.5 is an influential factor on the efficiency status of countries. Conclusion: This research gives an insight about the sustainable development and healthcare system and show the impressive effect of environmental and social factors like: exposure to PM2.5 and water quality, population insurance coverage, and AIDS on the healthcare efficiency of OECD countries |
format |
Article in Journal/Newspaper |
author |
Mehrdad Jalali Sepehr Abdorrahman Haeri Rouzbeh Ghousi |
author_facet |
Mehrdad Jalali Sepehr Abdorrahman Haeri Rouzbeh Ghousi |
author_sort |
Mehrdad Jalali Sepehr |
title |
Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
title_short |
Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
title_full |
Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
title_fullStr |
Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
title_full_unstemmed |
Evaluation of the OECD countries’ healthcare system from the sustainable development perspective |
title_sort |
evaluation of the oecd countries’ healthcare system from the sustainable development perspective |
publisher |
Iran University of Science & Technology |
publishDate |
2019 |
url |
https://doaj.org/article/242d82530d0c4a7981527a0351373986 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
International Journal of Industrial Engineering and Production Research, Vol 30, Iss 4, Pp 443-464 (2019) |
op_relation |
http://ijiepr.iust.ac.ir/article-1-846-en.html https://doaj.org/toc/2008-4889 https://doaj.org/toc/2345-363X 2008-4889 2345-363X https://doaj.org/article/242d82530d0c4a7981527a0351373986 |
_version_ |
1766040997596233728 |