Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis
The healthcare system is a vital element for any community, as it extremely affects the socio economic development of any country. The current study aims to assess the performance of the healthcare systems of the countries above fifty million citizens in facing the spread of the COVID-19 pandemic si...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2021
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3090 https://doi.org/10.5267/j.dsl.2021.2.007. |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1862980610899836928 |
|---|---|
| author | Mourad, Nahia |
| author2 | Mohamed Habib, Ahmed Tharwat, Assem |
| author2_role | author author |
| author_facet | Mourad, Nahia Mohamed Habib, Ahmed Tharwat, Assem |
| author_role | author |
| dc.creator.none.fl_str_mv | Mourad, Nahia Mohamed Habib, Ahmed Tharwat, Assem |
| dc.date.none.fl_str_mv | 2021-03-09 2025-05-21T16:53:41Z 2025-05-21T16:53:41Z |
| dc.identifier.none.fl_str_mv | Mourad, N., Habib, A.M. and Tharwat, A. (2021) “Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis,” Decision Science Letters, 10(3), pp. 301–310. 1929-5804, 1929-5804 https://bspace.buid.ac.ae/handle/1234/3090 https://doi.org/10.5267/j.dsl.2021.2.007. |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Growing science |
| dc.relation.none.fl_str_mv | Decision Science Lettersv10 n3 (2021): 301-310 |
| dc.subject.none.fl_str_mv | Healthcare systems Covid-19 pandemic Data envelopment analysis (DEA) Technical efficiency Decision-making units (DMUs) Mathematical programming |
| dc.title.none.fl_str_mv | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| dc.type.none.fl_str_mv | Article |
| description | The healthcare system is a vital element for any community, as it extremely affects the socio economic development of any country. The current study aims to assess the performance of the healthcare systems of the countries above fifty million citizens in facing the spread of the COVID-19 pandemic since late December 2019. For this purpose, seven scenarios were adopted via the DEA methodology with six variables, which are the number of medical practitioners (doctors and nurses), hospital beds, Conducted Covid-19 tests, affected cases, recovered cases, and death cases. To shed light on the relative efficiency of drivers, the Tobit analysis was used. Besides, the study carried out various statistical tests for the DEA models' findings to validate the choice of the variables and the obtained scores. The DEA results reveal that less than half of the considered countries are relatively efficient. Moreover, the Tobit regression analysis showed that the main impact on the efficiency scores was due to the number of affected and recovered cases. Finally, the results of the tests of Spearman, Mann-Whitney U, and Kruskal-Wallis H indicate the internal validity and robustness of the chosen DEA models. The current study findings raise important implications, which can be helpful for decision makers regarding continuous improvement of performance, in which the findings assert the importance of achieving the best practices regarding relative efficiency through the linkage between the healthcare systems’ resources, and the needed outputs. |
| id | budr_b657cde56c3ab72448b3668ccaaab34d |
| identifier_str_mv | Mourad, N., Habib, A.M. and Tharwat, A. (2021) “Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis,” Decision Science Letters, 10(3), pp. 301–310. 1929-5804, 1929-5804 |
| language_invalid_str_mv | en_US |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3090 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Growing science |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysisMourad, NahiaMohamed Habib, AhmedTharwat, AssemHealthcare systems Covid-19 pandemic Data envelopment analysis (DEA) Technical efficiency Decision-making units (DMUs) Mathematical programmingThe healthcare system is a vital element for any community, as it extremely affects the socio economic development of any country. The current study aims to assess the performance of the healthcare systems of the countries above fifty million citizens in facing the spread of the COVID-19 pandemic since late December 2019. For this purpose, seven scenarios were adopted via the DEA methodology with six variables, which are the number of medical practitioners (doctors and nurses), hospital beds, Conducted Covid-19 tests, affected cases, recovered cases, and death cases. To shed light on the relative efficiency of drivers, the Tobit analysis was used. Besides, the study carried out various statistical tests for the DEA models' findings to validate the choice of the variables and the obtained scores. The DEA results reveal that less than half of the considered countries are relatively efficient. Moreover, the Tobit regression analysis showed that the main impact on the efficiency scores was due to the number of affected and recovered cases. Finally, the results of the tests of Spearman, Mann-Whitney U, and Kruskal-Wallis H indicate the internal validity and robustness of the chosen DEA models. The current study findings raise important implications, which can be helpful for decision makers regarding continuous improvement of performance, in which the findings assert the importance of achieving the best practices regarding relative efficiency through the linkage between the healthcare systems’ resources, and the needed outputs.Growing science2025-05-21T16:53:41Z2025-05-21T16:53:41Z2021-03-09ArticleMourad, N., Habib, A.M. and Tharwat, A. (2021) “Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis,” Decision Science Letters, 10(3), pp. 301–310.1929-5804, 1929-5804https://bspace.buid.ac.ae/handle/1234/3090https://doi.org/10.5267/j.dsl.2021.2.007.en_USDecision Science Lettersv10 n3 (2021): 301-310oai:bspace.buid.ac.ae:1234/30902026-01-29T13:56:28Z |
| spellingShingle | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis Mourad, Nahia Healthcare systems Covid-19 pandemic Data envelopment analysis (DEA) Technical efficiency Decision-making units (DMUs) Mathematical programming |
| title | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| title_full | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| title_fullStr | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| title_full_unstemmed | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| title_short | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| title_sort | Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis |
| topic | Healthcare systems Covid-19 pandemic Data envelopment analysis (DEA) Technical efficiency Decision-making units (DMUs) Mathematical programming |
| url | https://bspace.buid.ac.ae/handle/1234/3090 https://doi.org/10.5267/j.dsl.2021.2.007. |