IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i24p5048-d296701.html
   My bibliography  Save this article

Quantification of Similarity Relationships According to Parameters of Day Surgery System

Author

Listed:
  • Beata Gavurova

    (Technical University of Košice, Letná 9, 04001 Košice, Slovak Republic
    Research and Innovation Centre Bioinformatics, University Science Park Technicom, Technical University of Košice, Němcovej 5, 04001 Košice, Slovak Republic)

  • Viliam Kovac

    (Technical University of Košice, Letná 9, 04001 Košice, Slovak Republic
    Research and Innovation Centre Bioinformatics, University Science Park Technicom, Technical University of Košice, Němcovej 5, 04001 Košice, Slovak Republic)

  • Jiri Bejtkovsky

    (Tomas Bata University in Zlín, Mostní 5139, 76001 Zlín, Czech Republic)

Abstract

Performing day surgery should minimise a number of hospitalisation cases, but its use is determined by many factors. It takes advantage of the latest advances in surgical care, enabling better use of highly costly specialised operating room equipment. This analysis of the day surgery system of the Slovak Republic stands on an examination of the five specialised fields—surgery, gynaecology, ophthalmology, otorhinolaryngology, and urology. The explored period covers the years 2009 to 2017. The whole analysis is divided into the two sections—the youth category and for the adult category. For each case, a hospitalisation ratio is computed. A map visualisation supports the analysis outcome. A quantification of the similarity relationships between the regions is done according to a Euclidean distance approach and it is illustrated through the heat map. The centremost region is the Žilina Region with distance at a level of 1.9821, meaning that it performs as the most similar region to a development of a hospitalisation ratio in the whole Slovak Republic regarding all the examined aspects. The findings introduce an important platform for a creation of regional and national health plans in the area of healthcare provision for the population of the country.

Suggested Citation

  • Beata Gavurova & Viliam Kovac & Jiri Bejtkovsky, 2019. "Quantification of Similarity Relationships According to Parameters of Day Surgery System," IJERPH, MDPI, vol. 16(24), pages 1-25, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5048-:d:296701
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/24/5048/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/24/5048/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5048-:d:296701. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.