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...
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Veröffentlicht in: | Arabian journal for science and engineering (2011) 2020, Vol.45 (8), p.7065-7076 |
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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. |
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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.</description><identifier>ISSN: 2193-567X</identifier><identifier>ISSN: 1319-8025</identifier><identifier>EISSN: 2191-4281</identifier><identifier>DOI: 10.1007/s13369-020-04718-w</identifier><identifier>PMID: 32837813</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Engineering ; Health care ; Humanities and Social Sciences ; Mathematical analysis ; multidisciplinary ; Multidisciplinary Sciences ; Optimization ; Optimization models ; Research Article-Systems Engineering ; Science ; Science & Technology ; Science & Technology - Other Topics ; Statistical analysis ; Statistical methods ; Systems Engineering</subject><ispartof>Arabian journal for science and engineering (2011), 2020, Vol.45 (8), p.7065-7076</ispartof><rights>King Fahd University of Petroleum & Minerals 2020</rights><rights>King Fahd University of Petroleum & Minerals 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000543149800001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c451t-2fc477956b9201ac752609d97653df491fbffe2146422a07bb698aebe6d17ebb3</citedby><cites>FETCH-LOGICAL-c451t-2fc477956b9201ac752609d97653df491fbffe2146422a07bb698aebe6d17ebb3</cites><orcidid>0000-0003-3182-7812 ; 0000-0003-3289-7134 ; 0000-0003-0924-3685</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13369-020-04718-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13369-020-04718-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Dönmez, Nergis Feride Kaplan</creatorcontrib><creatorcontrib>Atalan, Abdulkadir</creatorcontrib><creatorcontrib>Dönmez, Cem Çağrı</creatorcontrib><title>Desirability Optimization Models to Create the Global Healthcare Competitiveness Index</title><title>Arabian journal for science and engineering (2011)</title><addtitle>Arab J Sci Eng</addtitle><addtitle>ARAB J SCI ENG</addtitle><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.</description><subject>Engineering</subject><subject>Health care</subject><subject>Humanities and Social Sciences</subject><subject>Mathematical analysis</subject><subject>multidisciplinary</subject><subject>Multidisciplinary Sciences</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Research Article-Systems Engineering</subject><subject>Science</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Systems Engineering</subject><issn>2193-567X</issn><issn>1319-8025</issn><issn>2191-4281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><recordid>eNqNkc1u1DAUhSNERavSF2AViSUK-NqOHW-QUIC2UlE3bcXOspObjlHGHmxPh_bpayZVERvEylfyd879OVX1Bsh7IER-SMCYUA2hpCFcQtfsXlRHFBQ0nHbwcl-zphXy-2F1kpKzhHdMtQDsVXXIaMdkB-youvmMyUVj3ezyfX25yW7tHkx2wdffwohzqnOo-4gmY51XWJ_OwZq5PkMz59VgItZ9WG8wu-zu0GNK9bkf8dfr6mAyc8KTp_e4uv765ao_ay4uT8_7TxfNwFvIDZ0GLqVqhVWUgBlkSwVRo5KiZePEFUx2mpACF5xSQ6S1QnUGLYoRJFrLjquPi-9ma9c4DuhzNLPeRLc28V4H4_TfP96t9G2405IBtEoVg7dPBjH83GLK-kfYRl9m1pTTVlDKFBSKLtQQQ0oRp-cOQPTvOPQShy5x6H0celdE3SLaoQ1TGhz6AZ-FhJCWM-CqKxWB3uX91fuw9blI3_2_tNBsoVMh_C3GPzv8Y7xH8dGuxA</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Dönmez, Nergis Feride Kaplan</creator><creator>Atalan, Abdulkadir</creator><creator>Dönmez, Cem Çağrı</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3182-7812</orcidid><orcidid>https://orcid.org/0000-0003-3289-7134</orcidid><orcidid>https://orcid.org/0000-0003-0924-3685</orcidid></search><sort><creationdate>2020</creationdate><title>Desirability Optimization Models to Create the Global Healthcare Competitiveness Index</title><author>Dönmez, Nergis Feride Kaplan ; 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subjects | Engineering Health care Humanities and Social Sciences Mathematical analysis multidisciplinary Multidisciplinary Sciences Optimization Optimization models Research Article-Systems Engineering Science Science & Technology Science & Technology - Other Topics Statistical analysis Statistical methods Systems Engineering |
title | Desirability Optimization Models to Create the Global Healthcare Competitiveness Index |
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