Top

Health Economics Review

Published in:

Open Access 01-12-2017 | Research

Regional disparities in medical equipment distribution in the Slovak Republic – a platform for a health policy regulatory mechanism

Authors: Beáta Gavurová, Viliam Kováč, Ján Fedačko

Published in: Health Economics Review | Issue 1/2017

Abstract

Background

This study aims to examine the localisation of selected parameters in the deployment and use of medical equipment in the Slovak Republic and to verify potential regional disparities. The study evaluates the benefits of an analytical platform for regulatory mechanisms in the healthcare system.

Methods

The correspondence analysis is applied to the entire data set containing information regarding medical equipment distribution and mortality.

Results

The results highlight regional differences in the use of medical equipment throughout the analysed period from 2008 to 2014. The total amount of medical equipment increased slightly to 9192 devices during the time span. In 2014, there was a significant decrease of 16.44%. Disparities are found in the frequencies and structure of medical equipment. In some regions, medical equipment is not present or is present in low numbers.

Conclusions

The results regarding regional disparities demonstrate the regional development of the amount of medical equipment. The deployment of medical equipment is not proportional, and not all of the analysed devices are available in each region. The tests also indicate the appropriateness of the amount of medical equipment and create a platform for further investigation. The results of the analysis suggest the unsuitable distribution of medical equipment throughout the Slovak regions, where there are significant regional disparities. These findings can serve as a monitoring platform to evaluate the accessibility and efficiency of medical equipment usage.

Trial registration

No human participants were involved in the research.

Rogalewicz V. Health technology assessment as a tool for medical devices management in hospitals. In: EHB 2015. Proceedings of the 5th IEEE international conference on E-health and. Bioengineering. 2015; doi: 10.1109/ehb.2015.7391561.

Zavadil M, Rogalewicz V, Kubátová L, Matloňová V, Salačová K. Hospital-based health technology assessment. Cas Lek Cesk. 2016;155(5):254–9.PubMed

Ivlev I, Jablonsky J, Kneppo P. Multiple-criteria comparative analysis of magnetic resonance imaging systems. Int J Med Eng Inform. 2016;8(2):124–41. doi: 10.1504/ijmei.2016.075757. CrossRef

Pharr JR. Accessible medical equipment for patients with disabilities in primary care clinics: why is it lacking? Disabil Health J. 2013;6(2):124–32. https://doi.org/10.1016/j.dhjo.2012.11.002.PubMedCrossRef

Bem A, Prędkiewicz P, Ucieklak-Jeż P, Siedleck R. Profitability versus debt in hospital industry. In: European financial systems 2015 – proceedings of the 12th international scientific conference; 18–19 June 2015; Brno, Czech Republic. Brno: Masaryk University; 2015. p. 20–7.

Bem A, Prędkiewicz P, Ucieklak-Jeż P, Siedleck R. Impact of hospital's profitability on structure of its liabilities. In: Strategica. Local versus global. Proceedings of the third Strategica international conference; 29–30 October, vol. 2015. Bucharest: Romania. Tritonic; 2015. p. 657–65.

Bojnický M. Hodnotenie zdravotníckych technológií HTA. In: Verejné zdravotníctvo. 2010;7(2):1–10. http://verejnezdravotnictvo.szu.sk/SK/2010/2/Bojnicky.pdf. Accessed 23 Sept 2017

Soltes M, Gavurova B. Quantification and comparison of avoidable mortality – causal relations and modification of concepts. Technol Econ Dev Econ. 2015;21(6):917–38. doi: 10.3846/20294913.2015.1106421.CrossRef

Barták M, Rogalewicz V, Jílková J, Jeřábková S. Cross-border healthcare in European Union and Czech Republic. Cas Lek Cesk. 2016;155(5):247–53.PubMed

10.

Gavurová B, Vagašová T. Regional differences of standardised mortality rates for ischemic heart diseases in the Slovak Republic for the period 1996–2013 in the context of income inequality. Health Econ Rev. 2016;6(1):1–12. doi: 10.1186/s13561-016-0099-1. CrossRef

11.

Beyer D, Flanagan A, Heinemann A, Poengsen A. Health Care Regulation Across Europe. The Boston Consulting Group. 2007. https://www.bcg.com/documents/file15096.pdf. Accessed 23 Sept 2017.

12.

Šoltés V, Gavurová B. The Functionality Comparison of the Health Care Systems by the Analytical Hierarchy Process Method. E+M Ekonomie a Management. 2014;17(3):100–18. 10.15240/tul/001/2014-3-009.CrossRef

13.

Zelený T, Bencko V. Healthcare system financing and profits: all that glitters is not gold. Cent Eur J Public Health. 2015;23(1):3–7. 10.21101/cejph.a4027.PubMedCrossRef

14.

Szczygieł N, Rutkowska-Podolska M, Michalski G. Information and Communication Technologies in Healthcare: Still innovation or reality? Innovative and entrepreneurial value-creating approach in healthcare management. Proceedings of the 5th central European conference in regional science; 5–8 October 2014; Košice, Slovak Republic. Košice: Technical University of Košice; 2015: 1020–1029.

15.

Smatana M, Pažitný P, Kandilaki D, Laktišová M, Sedláková D, Palušková M, von Ginneken E, Spranger A. Slovakia: health system review. Health Systems in Transition. 2016;18(6):1–243. http://www.euro.who.int/__data/assets/pdf_file/0011/325784/HiT-Slovakia.pdf?ua=1. Accessed 23 Sept 2017PubMed

16.

Pol LG, Thomas RK. The demography of health and healthcare. London: Springer; 2013.CrossRef

17.

Population Projections 2008–2060. 2014. europa.eu/rapid/press-release_STAT-08-119_en.pdf. Accessed 25 Feb 2017.

18.

Meszaros J, Burcin B. Vývoj odvrátiteľnej úmrtnosti na Slovensku. Slovenská štatistika a. demografia. 2008;18(2–3):24–39.

19.

Newey C, Nolte M, McKee M, Mossialos E. Avoidable mortality in the enlarged European Union. 2003.

20.

Nolte E, McKee M. Measuring the health of nations: updating an earlier analysis. Health Aff. 2008;27(1):58–71. doi: 10.1377/hlthaff.27.1.58.CrossRef

21.

Rutstein DD, Berenberg W, Chalmers TC, Child CG 3rd, Fishman AP, Perrin EB, Feldman JJ, Leaverton PE, Lane M, Sencer DJ, Evans CC. Measuring the quality of medical care – a clinical method. N Engl J Med. 1976;294(11):582–8. doi: 10.1056/NEJM197603112941104. PubMedCrossRef

22.

Westerling R. Commentary: evaluating avoidable mortality in developing countries – an important issue for public health. Int J Epidemiol. 2001;30(5):973–5. doi: 10.1093/ije/30.5.973.PubMedCrossRef

23.

Tobias M, Yeh L. How much does health care contribute to health gain and to health inequality? Trends in amenable mortality in New Zealand 1981–2004. J Public Health Policy. 2009;33(1):70–8. doi: 10.1111/j.1753-6405.2009.00342.x.

24.

Bendixen MA. Practical guide to the use of correspondence analysis in marketing research. The. Mark Bull. 2003;14(2):1–15. http://marketing-bulletin.massey.ac.nz/V14/MB_V14_T2_Bendixen.pdf. Accessed 23 Sept 2017

25.

Yelland PM. An introduction to correspondence analysis. Math J. 2010;12(1):1–23. doi: 10.3888/tmj.12-4.

26.

Hartigan JA, Kleiner B. Mosaics for contingency tables. Computer science and statistics: proceedings of the 13th symposium on the. Interface. 1981:268–73.

27.

Friendly M. Mosaic displays for multi-way contingency tables. J Am Stat Assoc. 1994;89(425):190–200.CrossRef

28.

Cohen A. On the graphical display of the significant components in a two-way contingency table. Commun Stat Theory Methods. 1980;9(10):1025–41.CrossRef

29.

Friendly M. Graphical methods for categorical data. Statistical Analysis System Global Forum Proceedings. April 1992:1367–73. http://www.sascommunity.org/sugi/SUGI92/Sugi-92-233%20Friendly.pdf. Accessed 23 Sept 2017

30.

Caglayan G. Making sense of eigenvalue–eigenvector relationships: math majors’ linear algebra – geometry connections in a dynamic environment. J Math Behav. 2015;40(B):131–53. doi: 10.1016/j.jmathb.2015.08.003.CrossRef

31.

Cardoso DM, Lozin VV, Luz CJ, Pacheco MF. Efficient domination through eigenvalues. Discret Appl Math. 2016;214:54–62. doi: 10.1016/j.dam.2016.06.014.CrossRef

32.

Cook L. Constraints on universal health Care in the Russian Federation: inequality, informality and the failures of mandatory health insurance reforms. United Nations research institute for. Soc Dev. 2015;

33.

Chevreul K, Brigham KB, Durand-Zaleski I, Hernández-Quevedo C. France: health system review. Health Syst Transit. 2015;17(3):1–218.PubMed

34.

O'Neill JE, O'Neill DM. Health Status, Health Care and Inequality: Canada vs. the U.S. National Bureau of Economic Research Working Paper Series 13429. 2007; doi: 10.3386/w13429.

35.

Tragakes E, Lessof S. Health Care Systems in Transition: Russian Federation. Copenhagen: European Observatory on Health Systems and Policies. 2003; 5 (3). http://www.euro.who.int/__data/assets/pdf_file/0005/95936/e81966.pdf. Accessed 23 Sept 2017.

36.

Dragomiristeanu A. Reducing inequities in healthcare: a priority for European policies and measures. Manag Health. 2010;14(3):14–9. doi: 10.5233/mih.2010.0019.CrossRef

37.

Ruggieri-Pignon S, Pignon T, Marty M, Rodde-Dunet MH, Destembert B, Fritsch B. Infrastructure of radiation oncology in France: a large survey of evolution of external beam radiotherapy practice. Int J Radiat Oncol Biol Phys. 2005;61(2):507–16. doi: 10.1016/j.ijrobp.2004.06.009.PubMedCrossRef

38.

Ventola CL. Challenges in evaluating and standardizing medical devices in health care facilities. PT. 2008;33(6):349–59. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.567.4456&rep=rep1&type=pdf. Accessed 23 Sept 2017

39.

Miao CX, Zhuo L, YM G, Qin ZH. Study of large medical equipment allocation in Xuzhou. J Zhejiang Univ Sci B. 2007;8(12):881–4. doi: 10.1631/jzus.2007.b0881.PubMedPubMedCentralCrossRef

40.

Franzini L, Giannoni M. Determinants of health disparities between Italian regions. BMC Public Health. 2010;10:296. doi: 10.1186/1471-2458-10-296. PubMedPubMedCentralCrossRef

41.

Sonğur C, Top M. Regional clustering of medical imaging technologies. Comput Human Behav. 2016;61:333–43. doi: 10.1016/j.chb.2016.03.056.CrossRef

42.

Anjomshoa M, Mousavi SM. Regional disparities in the distribution of health care facilities: building evidence for evidence-based policy making. Iran J Public Health. 2014;43(7):1020–1.PubMedPubMedCentral

43.

Matsumoto M, Koike S, Kashima S, Awai K. Geographic distribution of CT, MRI and PET devices in Japan: a longitudinal analysis based on National Census Data. PLoS One. 2015;10(5):1–12. doi: 10.1371/journal.pone.0126036.

Title: Regional disparities in medical equipment distribution in the Slovak Republic – a platform for a health policy regulatory mechanism
Authors: Beáta Gavurová
Viliam Kováč
Ján Fedačko
Publication date: 01-12-2017
Publisher: Springer Berlin Heidelberg
Published in: Health Economics Review / Issue 1/2017
Electronic ISSN: 2191-1991
DOI: https://doi.org/10.1186/s13561-017-0176-0

ACC 2024 Congress

Springer Medicine

Regional disparities in medical equipment distribution in the Slovak Republic – a platform for a health policy regulatory mechanism

Abstract

Background

Methods

Results

Conclusions

Trial registration

ACC 2024 Congress

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

Trial registration

Please log in to get access to this content

Other articles of this Issue 1/2017

Health care utilisation amongst older adults with sensory and cognitive impairments in Europe

The costs of repatriating an ill seafarer: a micro-costing approach

Standardised mortality rate for cerebrovascular diseases in the Slovak Republic from 1996 to 2013 in the context of income inequalities and its international comparison

Cost-utility analysis of dynamic intraligamentary stabilization versus early reconstruction after rupture of the anterior cruciate ligament

Convergence and determinants of health expenditures in OECD countries

Results of a randomized controlled trial analyzing telemedically supported case management in the first year after living donor kidney transplantation - a budget impact analysis from the healthcare perspective