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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


  • Beáta Gavurová

    () (Technical University of Košice)

  • Tatiana Vagašová

    (Technical University of Košice)


Abstract Background The aim of paper is to analyse the development of standardised mortality rates for ischemic heart diseases in relation to the income inequality in the regions of Slovakia. This paper assesses different types of income indicators, such as mean equivalised net income per household, Gini coefficient, unemployment rate, at risk of poverty threshold (60 % of national median), S80/S20 and their effect on mortality. Methods Using data from the Slovak mortality database 1996–2013, the method of direct standardisation was applied to eliminate variances resulted from differences in age structures of the population across regions and over time. To examine the relationships between income indicators and standardised mortality rates, we used the tools of descriptive statistics and methods of correlation and regression analysis. Results At first, we show that Slovakia has the worst values of standardised mortality rates for ischemic heart diseases in EU countries. Secondly, mortality rates are significantly higher for males compared with females. Thirdly, mortality rates are improving from Eastern Slovakia to Western Slovakia; additionally, high differences in the results of variability are seen among Slovak regions. Finally, the unemployment rate, the poverty rate and equivalent disposable income were statistically significant income indicators. Conclusions Main contribution of paper is to demonstrate regional differences between mortality and income inequality, and to point out the long-term unsatisfactory health outcomes.

Suggested Citation

  • Beáta Gavurová & Tatiana Vagašová, 2016. "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 Economics Review, Springer, vol. 6(1), pages 1-12, December.
  • Handle: RePEc:spr:hecrev:v:6:y:2016:i:1:d:10.1186_s13561-016-0099-1
    DOI: 10.1186/s13561-016-0099-1

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    References listed on IDEAS

    1. M. Carreras & M. García-Goñi & P. Ibern & J. Coderch & L. Vall-Llosera & J. Inoriza, 2011. "Estimates of patient costs related with population morbidity: can indirect costs affect the results?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(4), pages 289-295, August.
    2. Geng Niu & Bertrand Melenberg, 2014. "Trends in Mortality Decrease and Economic Growth," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1755-1773, October.
    3. Mackenbach, Johan P. & Kunst, Anton E., 1997. "Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe," Social Science & Medicine, Elsevier, vol. 44(6), pages 757-771, March.
    4. Elsie R. Pamuk & Regina Fuchs & Wolfgang Lutz, 2011. "Comparing Relative Effects of Education and Economic Resources on Infant Mortality in Developing Countries," Population and Development Review, The Population Council, Inc., vol. 37(4), pages 637-664, December.
    5. Michael de Looper & Gaétan Lafortune, 2009. "Measuring Disparities in Health Status and in Access and Use of Health Care in OECD Countries," OECD Health Working Papers 43, OECD Publishing.
    6. Haaland, Venke Furre & Telle, Kjetil, 2015. "Pro-cyclical mortality across socioeconomic groups and health status," Journal of Health Economics, Elsevier, vol. 39(C), pages 248-258.
    7. Kawachi, Ichiro & Kennedy, Bruce P., 1997. "The relationship of income inequality to mortality: Does the choice of indicator matter?," Social Science & Medicine, Elsevier, vol. 45(7), pages 1121-1127, October.
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