The Innovative, Demand Based Organizational Design for Efficient Oncological Care in Poland: a Voronoi Diagram Analysis

• Autorzy: Waldemar Karpa , Jakub Nowakowski
• Języki publikacji: EN

Abstrakty

EN

In this paper, we apply a Voronoi diagram to map the existing design of oncological care in Poland. First, we correlate the actual organization of care with epidemiological data on cancer survival rate and morbidity. On this basis, we build a proxy for localized demand for oncological care. As a further step, we construct a Voronoi diagram to discuss the project of a national network for oncology in Poland based on comprehensive cancer centers and institutes, aiming at improving accessibility and equality in access to specialized oncological care.(original abstract)

Słowa kluczowe

EN

Health; Illness; Health care protection

PL

Zdrowie; Choroby; Ochrona zdrowia

• Czasopismo: Metody Ilościowe w Badaniach Ekonomicznych / Szkoła Główna Gospodarstwa Wiejskiego
• Rocznik: 2015
• Tom: 16(XVI)
• Numer: nr 1
• Strony: 126--136

Twórcy

autor

Waldemar Karpa

• Kozminski University, Warsaw, Poland

autor

Jakub Nowakowski

• Kozminski University, Warsaw, Poland

Bibliografia

• Aurenhammer F., Klein R. (2000) Voronoi diagrams, Handbook of computational geometry 5, 201-290.
• Björnberg A. (2014) Euro Health Consumer Index 2014 Report, Health Consumer Powerhouse Ltd.
• Clarkson K. (1985) A probabilistic algorithm for the post office problem, Proceedings of the seventeenth annual ACM symposium on Theory of computing, ACM.
• COI (2014) Sprawozdanie dyrektora z działalności Centrum Onkologii w 2013 r.
• De Angelis et al. (2014) Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE-5-a population-based study, Lancet Oncology, 15, 23-34.
• Drysdale S. (1993) Voronoi diagrams: Applications from archeology to zoology, Technical Report, Regional Geometry Institute, Smith College.
• Fleischmann P. (1999) Dissertation: Mesh Generation for Technology CAD in Three Dimensions, Vienna.
• GUS (2012) Area and population in the territorial profile in 2012, Warszawa.
• GUS (2014) Health and health care in 2013, Warszawa.
• Kalcsics J. et al. (1999) Facility location decisions in supply chain management, Operations Research Proceedings, Springer Berlin Heidelberg.
• Lee D.-T., Schachter B. J. (1980) Two algorithms for constructing a Delaunay triangulation, International Journal of Computer & Information Sciences 9.3, 219-242.
• Okabe A. et al. (2009) Spatial tessellations: concepts and applications of Voronoi diagrams, Vol. 501, John Wiley & Sons.
• PWC (2014) Obecny stan zwalczania nowotworów w Polsce (available at: http://www.pto.med.pl/, accessed on: 2015-06-10).
• PWC (2014) Strategia walki z rakiem w Polsce 2015-2024.
• (available at: http://www.pto.med.pl/, accessed on: 2015-06-10).
• Qiang D. et al. (1999) Centroidal Voronoi tessellations: applications and algorithms, SIAM review 41.4, 637-676.
• Saghatchian M. (2014) Pioneering quality assessment in European cancer centers: a data analysis of the organization for the European Cancer Institutes accreditation and designation program, Journal of Oncology Practice, Vol.10 (5), 342-349.
• Stewart B.W., Wild Ch. P. (2014) World Cancer Report 2014, International Agency for Research on Cancer.
• Warzocha K. (2013) National Institute of Oncology and Hematology, Hematologia, 4. 3, 185-196.
• Wojciechowska U., Didkowska J. (2014) Zachorowania i zgony na nowotwory złośliwe w Polsce. Krajowy Rejestr Nowotworów, Centrum Onkologii - Instytut im. Marii Skłodowskiej - Curie.