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Health system efficiency in OECD countries: dynamic network DEA approach

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dc.title Health system efficiency in OECD countries: dynamic network DEA approach en
dc.contributor.author Gavurová, Beáta
dc.contributor.author Kočišová, Kristína
dc.contributor.author Sopko, Jakub
dc.relation.ispartof Health Economics Review
dc.identifier.issn 2191-1991 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 11
utb.relation.issue 1
dc.type article
dc.language.iso en
dc.publisher BioMed Central Ltd
dc.identifier.doi 10.1186/s13561-021-00337-9
dc.relation.uri https://healtheconomicsreview.biomedcentral.com/articles/10.1186/s13561-021-00337-9
dc.subject public health en
dc.subject data envelopment analysis en
dc.subject DNDEA en
dc.subject OECD en
dc.subject efficiency en
dc.description.abstract Background In recent years, measuring and evaluating the efficiency of health systems has been explored in the context of seeking resources to ensure the sustainability of 'countries' health and social systems and addressing various crises in the health sector. The study aims to quantify and compare the efficiency of OECD health systems in 2000, 2008, and 2016. The contribution to research in the field of efficiency in the healthcare system can be seen in the application of Dynamic Network Data Envelopment Analysis (DNDEA), which help us to analyse not only the overall efficiency of the healthcare system but analyse the overall efficiency as the result of the efficiencies of individual interconnected areas (public and medical care area). By applying the DNDEA model, we can realise the analysis not only within one year, but we can find out if the measures and improvements taken in the healthcare sector have a positive impact on its efficiency in a later period (eight-year interval). Methods The analysis focuses on assessing the efficiency of the health systems of OECD countries over three periods: 2000, 2008, and 2016. Data for this study were derived from the existing OECD database, which provides aggregated data on OECD countries on a comparable basis. In this way, it was possible to compare different countries whose national health statistics may have their characteristics. The input-oriented Dynamic Network Data Envelopment Analysis model was used for data processing. The efficiency of OECD health systems has been analysed and evaluated comprehensively and also separately in two divisions: public health sub-division and medical care sub-division. The analysis combines the application of conventional and unconventional methods of measuring efficiency in the health sector. Results The results for the public health sub-division, medical care sub-division and overall health system for OECD countries under the assumption of constant returns to scale indicate that the average overall efficiency was 0.8801 in 2000, 0.8807 in 2008 and 0.8472 in 2016. The results of the input-oriented model with the assumption of constant returns to scale point to the overall average efficiency of health systems at the level of 0.8693 during the period. According to the Malmquist Index results, the OECD countries improved the efficiency over the years, with performance improvements of 19% in the public health division and 8% in the medical care division. Conclusions The results of the study are beneficial for health policymakers to assess and compare health systems in countries and to develop strategic national and regional health plans. Similarly, the result will support the development of international benchmarks in this area. The issue of health efficiency is an intriguing one that could be usefully explored in further research. A greater focus on combining non-parametric and parametric models could produce interesting findings for further research. The consistency in the publication and updating of the data on health statistics would help us establish a greater degree of accuracy. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1010616
utb.identifier.obdid 43882715
utb.identifier.scopus 2-s2.0-85117276261
utb.identifier.wok 000706721300001
utb.identifier.pubmed 34642864
utb.source J-wok
dc.date.accessioned 2021-10-26T10:27:26Z
dc.date.available 2021-10-26T10:27:26Z
dc.description.sponsorship Internal Grant Agency of FaME Tomas Bata University in Zlin [RO/2020/05]
dc.description.sponsorship Univerzita Tomáše Bati ve Zlíně: RO/2020/05; European Regional Development Fund, ERDF
dc.format.extent 25
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Centre for Applied Economic Research
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.affiliation Beata Gavurova1* https://orcid.org/0000-0002-0606-879X , Kristina Kocisova2 https://orcid.org/0000-0003-0784-441X and Jakub Sopko2 https://orcid.org/0000-0002-7314-828X * Correspondence: gavurova@utb.cz 1Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, 760 00 Zlín, Czech Republic Full list of author information is available at the end of the article Author details 1 Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, 760 00 Zlín, Czech Republic. 2 Faculty of Economics, Technical University of Košice, Němcovej 32, 040 01 Košice, Slovak Republic.
utb.fulltext.dates Received: 5 April 2020 Accepted: 23 September 2021 Published online: 12 October 2021
utb.fulltext.sponsorship This research was supported by the Internal Grant Agency of FaME Tomas Bata University in Zlin: RO/2020/05: “Economic quantification of marketing processes that focus on value increase for a patient in a process of system creation to measure and control efficiency in health facilities in the Czech Republic”.
utb.wos.affiliation [Gavurova, Beata] Tomas Bata Univ Zlin, Fac Econ & Management, Ctr Appl Econ Res, Mostni 5139, Zlin 76000, Czech Republic; [Kocisova, Kristina; Sopko, Jakub] Tech Univ Kosice, Fac Econ, Nemcovej 32, Kosice 04001, Slovakia
utb.scopus.affiliation Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, Zlín, 760 00, Czech Republic; Faculty of Economics, Technical University of Košice, Němcovej 32, Košice, 040 01, Slovakia
utb.fulltext.projects RO/2020/05
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Centre for Applied Economic Research
utb.identifier.jel C61
utb.identifier.jel I11
utb.identifier.jel R11
utb.identifier.jel R58
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