Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach
Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the popula...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Shailender [verfasserIn] Kumar, Nishant [verfasserIn] Rawandale, Chandrashekhar J. [verfasserIn] Bala, Muhammad Muazu [verfasserIn] Gupta, Aditya Kumar [verfasserIn] Kapur, P. K. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International journal of system assurance engineering and management - Springer India, 2010, 15(2023), 5 vom: 27. Sept., Seite 1815-1827 |
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| Übergeordnetes Werk: |
volume:15 ; year:2023 ; number:5 ; day:27 ; month:09 ; pages:1815-1827 |
| Links: |
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| DOI / URN: |
10.1007/s13198-023-02159-w |
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SPR056233515 |
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| 520 | |a Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. | ||
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| 700 | 1 | |a Kapur, P. K. |e verfasserin |4 aut | |
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10.1007/s13198-023-02159-w doi (DE-627)SPR056233515 (SPR)s13198-023-02159-w-e DE-627 ger DE-627 rakwb eng 330 VZ Singh, Shailender verfasserin (orcid)0000-0002-1710-7504 aut Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. Socioeconomic framework (dpeaa)DE-He213 Behavioural framework (dpeaa)DE-He213 Health outcomes (dpeaa)DE-He213 PLS-SEM model (dpeaa)DE-He213 DEA model (dpeaa)DE-He213 Malmquist TFP index (dpeaa)DE-He213 Kumar, Nishant verfasserin aut Rawandale, Chandrashekhar J. verfasserin aut Bala, Muhammad Muazu verfasserin aut Gupta, Aditya Kumar verfasserin aut Kapur, P. K. verfasserin aut Enthalten in International journal of system assurance engineering and management Springer India, 2010 15(2023), 5 vom: 27. Sept., Seite 1815-1827 Online-Ressource (DE-627)631498990 (DE-600)2564238-8 (DE-576)326863710 0976-4348 nnns volume:15 year:2023 number:5 day:27 month:09 pages:1815-1827 https://dx.doi.org/10.1007/s13198-023-02159-w X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 5 27 09 1815-1827 |
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10.1007/s13198-023-02159-w doi (DE-627)SPR056233515 (SPR)s13198-023-02159-w-e DE-627 ger DE-627 rakwb eng 330 VZ Singh, Shailender verfasserin (orcid)0000-0002-1710-7504 aut Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. Socioeconomic framework (dpeaa)DE-He213 Behavioural framework (dpeaa)DE-He213 Health outcomes (dpeaa)DE-He213 PLS-SEM model (dpeaa)DE-He213 DEA model (dpeaa)DE-He213 Malmquist TFP index (dpeaa)DE-He213 Kumar, Nishant verfasserin aut Rawandale, Chandrashekhar J. verfasserin aut Bala, Muhammad Muazu verfasserin aut Gupta, Aditya Kumar verfasserin aut Kapur, P. K. verfasserin aut Enthalten in International journal of system assurance engineering and management Springer India, 2010 15(2023), 5 vom: 27. Sept., Seite 1815-1827 Online-Ressource (DE-627)631498990 (DE-600)2564238-8 (DE-576)326863710 0976-4348 nnns volume:15 year:2023 number:5 day:27 month:09 pages:1815-1827 https://dx.doi.org/10.1007/s13198-023-02159-w X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 5 27 09 1815-1827 |
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10.1007/s13198-023-02159-w doi (DE-627)SPR056233515 (SPR)s13198-023-02159-w-e DE-627 ger DE-627 rakwb eng 330 VZ Singh, Shailender verfasserin (orcid)0000-0002-1710-7504 aut Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. Socioeconomic framework (dpeaa)DE-He213 Behavioural framework (dpeaa)DE-He213 Health outcomes (dpeaa)DE-He213 PLS-SEM model (dpeaa)DE-He213 DEA model (dpeaa)DE-He213 Malmquist TFP index (dpeaa)DE-He213 Kumar, Nishant verfasserin aut Rawandale, Chandrashekhar J. verfasserin aut Bala, Muhammad Muazu verfasserin aut Gupta, Aditya Kumar verfasserin aut Kapur, P. K. verfasserin aut Enthalten in International journal of system assurance engineering and management Springer India, 2010 15(2023), 5 vom: 27. Sept., Seite 1815-1827 Online-Ressource (DE-627)631498990 (DE-600)2564238-8 (DE-576)326863710 0976-4348 nnns volume:15 year:2023 number:5 day:27 month:09 pages:1815-1827 https://dx.doi.org/10.1007/s13198-023-02159-w X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 5 27 09 1815-1827 |
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10.1007/s13198-023-02159-w doi (DE-627)SPR056233515 (SPR)s13198-023-02159-w-e DE-627 ger DE-627 rakwb eng 330 VZ Singh, Shailender verfasserin (orcid)0000-0002-1710-7504 aut Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. Socioeconomic framework (dpeaa)DE-He213 Behavioural framework (dpeaa)DE-He213 Health outcomes (dpeaa)DE-He213 PLS-SEM model (dpeaa)DE-He213 DEA model (dpeaa)DE-He213 Malmquist TFP index (dpeaa)DE-He213 Kumar, Nishant verfasserin aut Rawandale, Chandrashekhar J. verfasserin aut Bala, Muhammad Muazu verfasserin aut Gupta, Aditya Kumar verfasserin aut Kapur, P. K. verfasserin aut Enthalten in International journal of system assurance engineering and management Springer India, 2010 15(2023), 5 vom: 27. Sept., Seite 1815-1827 Online-Ressource (DE-627)631498990 (DE-600)2564238-8 (DE-576)326863710 0976-4348 nnns volume:15 year:2023 number:5 day:27 month:09 pages:1815-1827 https://dx.doi.org/10.1007/s13198-023-02159-w X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 5 27 09 1815-1827 |
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10.1007/s13198-023-02159-w doi (DE-627)SPR056233515 (SPR)s13198-023-02159-w-e DE-627 ger DE-627 rakwb eng 330 VZ Singh, Shailender verfasserin (orcid)0000-0002-1710-7504 aut Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. Socioeconomic framework (dpeaa)DE-He213 Behavioural framework (dpeaa)DE-He213 Health outcomes (dpeaa)DE-He213 PLS-SEM model (dpeaa)DE-He213 DEA model (dpeaa)DE-He213 Malmquist TFP index (dpeaa)DE-He213 Kumar, Nishant verfasserin aut Rawandale, Chandrashekhar J. verfasserin aut Bala, Muhammad Muazu verfasserin aut Gupta, Aditya Kumar verfasserin aut Kapur, P. K. verfasserin aut Enthalten in International journal of system assurance engineering and management Springer India, 2010 15(2023), 5 vom: 27. Sept., Seite 1815-1827 Online-Ressource (DE-627)631498990 (DE-600)2564238-8 (DE-576)326863710 0976-4348 nnns volume:15 year:2023 number:5 day:27 month:09 pages:1815-1827 https://dx.doi.org/10.1007/s13198-023-02159-w X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 5 27 09 1815-1827 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socioeconomic framework</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Behavioural framework</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health outcomes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">PLS-SEM model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DEA model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Malmquist TFP index</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Nishant</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rawandale, Chandrashekhar J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bala, Muhammad Muazu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gupta, Aditya Kumar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kapur, P. 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determinants of health system efficiency in middle-east countries-dea and pls-sem model approach |
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Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach |
| abstract |
Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 2006–2017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The study’s results have contributed to the policymakers, citizens, and the country’s government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach |
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| score |
7.4013834 |