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Investigation of relationship between spatial distribution of medical equipment and preventable mortality

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dc.title Investigation of relationship between spatial distribution of medical equipment and preventable mortality en
dc.contributor.author Gavurová, Beáta
dc.contributor.author Tuček, David
dc.contributor.author Kovac, Viliam
dc.relation.ispartof International Journal of Environmental Research and Public Health
dc.identifier.issn 1661-7827 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 16
utb.relation.issue 16
dc.type article
dc.language.iso en
dc.publisher MDPI AG
dc.identifier.doi 10.3390/ijerph16162913
dc.relation.uri https://www.mdpi.com/1660-4601/16/16/2913
dc.subject medical equipment en
dc.subject computed tomograph en
dc.subject magnetic resonance imaging scanner en
dc.subject standardised mortality rate en
dc.subject preventable mortality en
dc.subject regional disparity en
dc.subject health policy en
dc.subject cluster analysis en
dc.subject dendrogram en
dc.subject heat map en
dc.description.abstract The aim of the study is to investigate the relationship between the spatial distribution of the selected medical equipment and the preventable mortality rate in the regions of the Slovak Republic. The main analytical approach is carried out through the cluster analysis based on a Euclidean distance technique in order to get similarity of the administrative divisions in form of a district and a pseudot2 approach aimed at the determination of a number of the districts in a cluster. A number of medical equipment had a rising tendency from the year 2008. The most extreme position according to a localisation distribution of the computed tomographs and the magnetic resonance imaging scanners is held by the Košice IV District at the level of 7.50630. From an angle of view of the preventable mortality, the Piešt’any District holds the most extreme position peaking at the level of 10.97969 for the female sex and the Kežmarok District with the value of 9.44088. The study has the significant dissemination outputs for health policy interventions, especially to draw up regional health plans for computed tomography and magnetic resonance imaging deployment, mainly in locations with a high preventable mortality rate for both sexes. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1009098
utb.identifier.obdid 43880582
utb.identifier.scopus 2-s2.0-85071588411
utb.identifier.wok 000484419000196
utb.identifier.pubmed 31416229
utb.source j-scopus
dc.date.accessioned 2019-09-19T07:56:16Z
dc.date.available 2019-09-19T07:56:16Z
dc.description.sponsorship Slovak Research and Development AgencySlovak Research and Development Agency [APVV-17-0360]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Tuček, David
utb.fulltext.affiliation Beata Gavurova 1,2*, David Tucek 3, Viliam Kovac 1,2 1 Technical University of Košice, 04001 Košice, Slovak Republic 2 Research and Innovation Centre Bioinformatics, University Science Park Technicom, 042 00 Košice, Slovak Republic 3 Faculty of Management and Economics, Tomas Bata University, 76001 Zlín, Czech Republic * Correspondence: beata.gavurova@tuke.sk; Tel.: +421-944420654
utb.fulltext.dates Received: 6 July 2019 Accepted: 8 August 2019 Published: 14 August 2019
utb.fulltext.sponsorship This work is supported by the Slovak Research and Development Agency under the contract APVV-17-0360 Multidimensional analysis of significant determinants of public procurement efficiency with emphasis on the application of Health Technology Assessment in the procurement preparation phase.
utb.wos.affiliation [Gavurova, Beata; Kovac, Viliam] Tech Univ Kosice, Kosice 04001, Slovakia; [Gavurova, Beata; Kovac, Viliam] Univ Sci Park Technicom, Res & Innovat Ctr Bioinformat, Kosice 04200, Slovakia; [Tucek, David] Tomas Bata Univ, Fac Management & Econ, Zlin 76001, Czech Republic
utb.scopus.affiliation Technical University of Košice, Košice, 04001, Slovakia; Research and Innovation Centre Bioinformatics, University Science Park Technicom, Košice, 04200, Slovakia; Faculty of Management and Economics, Tomas Bata University, Zlín, 76001, Czech Republic
utb.fulltext.projects APVV-17-0360
utb.fulltext.faculty Faculty of Management and Economics
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International