Cargando…
Desirability Optimization Models to Create the Global Healthcare Competitiveness Index
The aim of this research is to enhance desirability optimization models to create a global healthcare competitiveness index (GHCI) covering 53 countries with gross domestic product per capita (GDP PC) of over $10,000. The GHCI is defined as an index that reveals the progress and quality of the healt...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311599/ https://www.ncbi.nlm.nih.gov/pubmed/32837813 http://dx.doi.org/10.1007/s13369-020-04718-w |
_version_ | 1783549573401149440 |
---|---|
author | Dönmez, Nergis Feride Kaplan Atalan, Abdulkadir Dönmez, Cem Çağrı |
author_facet | Dönmez, Nergis Feride Kaplan Atalan, Abdulkadir Dönmez, Cem Çağrı |
author_sort | Dönmez, Nergis Feride Kaplan |
collection | PubMed |
description | The aim of this research is to enhance desirability optimization models to create a global healthcare competitiveness index (GHCI) covering 53 countries with gross domestic product per capita (GDP PC) of over $10,000. The GHCI is defined as an index that reveals the progress and quality of the healthcare systems in countries providing their patients with easier access opportunities to healthcare services within the scope of this work. Methods of statistical analysis have been adopted together with optimization models and techniques in this research. The optimum and feasible values of the factors considered influential on objective functions have been determined as the basis of healthcare expenditure (HE) and GHCI in those relevant countries. Those released optimum outcomes are displayed between 0.64 and 0.66 in terms of desirability value. The GHCI values of those aforementioned countries range from 0 to 6. The computed average of the GHCI values of those countries is estimated as 2.4758. Finally, GHCI values of 53 countries have been calculated to set the current basis of desirability optimization models. These findings will be deemed as the basic essence of those prospective theories to be established for the future researches to constitute a new index to measure the competitiveness of healthcare systems in various countries all over the world. |
format | Online Article Text |
id | pubmed-7311599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-73115992020-06-24 Desirability Optimization Models to Create the Global Healthcare Competitiveness Index Dönmez, Nergis Feride Kaplan Atalan, Abdulkadir Dönmez, Cem Çağrı Arab J Sci Eng Research Article-Systems Engineering The aim of this research is to enhance desirability optimization models to create a global healthcare competitiveness index (GHCI) covering 53 countries with gross domestic product per capita (GDP PC) of over $10,000. The GHCI is defined as an index that reveals the progress and quality of the healthcare systems in countries providing their patients with easier access opportunities to healthcare services within the scope of this work. Methods of statistical analysis have been adopted together with optimization models and techniques in this research. The optimum and feasible values of the factors considered influential on objective functions have been determined as the basis of healthcare expenditure (HE) and GHCI in those relevant countries. Those released optimum outcomes are displayed between 0.64 and 0.66 in terms of desirability value. The GHCI values of those aforementioned countries range from 0 to 6. The computed average of the GHCI values of those countries is estimated as 2.4758. Finally, GHCI values of 53 countries have been calculated to set the current basis of desirability optimization models. These findings will be deemed as the basic essence of those prospective theories to be established for the future researches to constitute a new index to measure the competitiveness of healthcare systems in various countries all over the world. Springer Berlin Heidelberg 2020-06-24 2020 /pmc/articles/PMC7311599/ /pubmed/32837813 http://dx.doi.org/10.1007/s13369-020-04718-w Text en © King Fahd University of Petroleum & Minerals 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article-Systems Engineering Dönmez, Nergis Feride Kaplan Atalan, Abdulkadir Dönmez, Cem Çağrı Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title_full | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title_fullStr | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title_full_unstemmed | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title_short | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
title_sort | desirability optimization models to create the global healthcare competitiveness index |
topic | Research Article-Systems Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311599/ https://www.ncbi.nlm.nih.gov/pubmed/32837813 http://dx.doi.org/10.1007/s13369-020-04718-w |
work_keys_str_mv | AT donmeznergisferidekaplan desirabilityoptimizationmodelstocreatetheglobalhealthcarecompetitivenessindex AT atalanabdulkadir desirabilityoptimizationmodelstocreatetheglobalhealthcarecompetitivenessindex AT donmezcemcagrı desirabilityoptimizationmodelstocreatetheglobalhealthcarecompetitivenessindex |