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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Main Authors: Mehrdad Jalali Sepehr, Abdorrahman Haeri, Rouzbeh Ghousi
Format: Article in Journal/Newspaper
Language:English
Published: Iran University of Science & Technology 2019
Subjects:
T
Online Access:https://doaj.org/article/242d82530d0c4a7981527a0351373986
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spelling 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
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic pca-dea
decision tree analysis
oecd countries
healthcare
well-being
exposure to pm2.5
water quality
Technology
T
spellingShingle 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
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