IDEAS home Printed from https://ideas.repec.org/a/spr/hecrev/v7y2017i1d10.1186_s13561-016-0140-4.html
   My bibliography  Save this article

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

Author

Listed:
  • Beáta Gavurová
  • Viliam Kováč
  • Tatiana Vagašová

Abstract

Non-communicable diseases represent one of the greatest challenges for health policymakers. The main objective of this study is to analyse the development of standardised mortality rates for cerebrovascular disease, which is one of the most common causes of deaths, in relation to income inequality in individual regions of the Slovak Republic. Direct standardisation was applied using data from the Slovak mortality database, covering the time period from 1996 to 2013. The standardised mortality rate declined by 4.23% in the Slovak Republic. However, since 1996, the rate has been higher by almost 33% in men than in women. Standardised mortality rates were lower in the northern part of the Slovak Republic than in the southern part. The regression models demonstrated an impact of the observed income-related dimensions on these rates. The income quintile ratio and Gini coefficient appeared to be the most influencing variables. The results of the analysis highlight valuable baseline information for creating new support programmes aimed at eliminating health inequalities in relation to health and social policy.

Suggested Citation

  • Beáta Gavurová & Viliam Kováč & Tatiana Vagašová, 2017. "Standardised mortality rate for cerebrovascular diseases in the Slovak Republic from 1996 to 2013 in the context of income inequalities and its international comparison," Health Economics Review, Springer, vol. 7(1), pages 1-12, December.
    • Handle: RePEc:spr:hecrev:v:7:y:2017:i:1:d:10.1186_s13561-016-0140-4
    DOI: 10.1186/s13561-016-0140-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s13561-016-0140-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s13561-016-0140-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adriaan Kalwij, 2014. "An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(30), pages 913-940.
    2. Kinge, Jonas Minet & Morris, Stephen, 2014. "Variation in the relationship between BMI and survival by socioeconomic status in Great Britain," Economics & Human Biology, Elsevier, vol. 12(C), pages 67-82.
    3. Juan G. Gay & Valérie Paris & Marion Devaux & Michael de Looper, 2011. "Mortality Amenable to Health Care in 31 OECD Countries: Estimates and Methodological Issues," OECD Health Working Papers 55, OECD Publishing.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Dorota Toczydlowska & Gareth W. Peters & Man Chung Fung & Pavel V. Shevchenko, 2017. "Stochastic Period and Cohort Effect State-Space Mortality Models Incorporating Demographic Factors via Probabilistic Robust Principal Components," Risks, MDPI, vol. 5(3), pages 1-77, July.
    3. de Jong, Piet & Tickle, Leonie & Xu, Jianhui, 2020. "A more meaningful parameterization of the Lee–Carter model," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 1-8.
    4. Katrien Antonio & Anastasios Bardoutsos & Wilbert Ouburg, 2015. "Bayesian Poisson log-bilinear models for mortality projections with multiple populations," Working Papers Department of Accountancy, Finance and Insurance (AFI), Leuven 485564, KU Leuven, Faculty of Economics and Business (FEB), Department of Accountancy, Finance and Insurance (AFI), Leuven.
    5. Håvard T Rydland & Erlend L Fjær & Terje A Eikemo & Tim Huijts & Clare Bambra & Claus Wendt & Ivana Kulhánová & Pekka Martikainen & Chris Dibben & Ramunė Kalėdienė & Carme Borrell & Mall Leinsalu & Ma, 2020. "Educational inequalities in mortality amenable to healthcare. A comparison of European healthcare systems," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
    6. Bellido, Héctor & Marcén, Miriam, 2020. "On the relationship between body mass index and marital dissolution," Economic Modelling, Elsevier, vol. 91(C), pages 326-340.
    7. Beata Gavurova & Peter Toth, 2019. "Preventable Mortality in Regions of Slovakia—Quantification of Regional Disparities and Investigation of the Impact of Environmental Factors," IJERPH, MDPI, vol. 16(8), pages 1-15, April.
    8. Jos'e A. Tapia Granados & Edward L. Ionides, 2024. "Income, health, and cointegration," Papers 2407.15755, arXiv.org.
    9. Jorge M. Uribe & Helena Chuliá & Montserrat Guillen, 2018. "Trends in the Quantiles of the Life Table Survivorship Function," European Journal of Population, Springer;European Association for Population Studies, vol. 34(5), pages 793-817, December.
    10. Domenico Giovanni & Arturo Leccadito & Marco Pirra, 2021. "On the determinants of data breaches: A cointegration analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 141-160, June.
    11. Jacie Jia Liu, 2021. "A Study on Link Functions for Modelling and Forecasting Old-Age Survival Probabilities of Australia and New Zealand," Risks, MDPI, vol. 9(1), pages 1-18, January.
    12. Nováková Bibiána & Vagašová Tatiana, 2016. "Health and its Effects on the Quality of Life in the EU Countries," Scientific Annals of Economics and Business, Sciendo, vol. 63(1), pages 1-14, March.
    13. André, Christine, 2015. "Les systèmes de santé européens en longue période," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 17.
    14. Nils Grevenbrock & Max Groneck & Alexander Ludwig & Alexander Zimper, 2021. "Cognition, Optimism, And The Formation Of Age‐Dependent Survival Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 887-918, May.
    15. Bellido, Héctor & Marcén, Miriam, 2016. "On the relationship between BMI and marital dissolution," MPRA Paper 73868, University Library of Munich, Germany.
    16. Ana Paula Beck Etges & Luciane Nascimento Cruz & Regina Kuhmmer Notti & Jeruza Lavanholi Neyeloff & Rosane Paixão Schlatter & Claudia Caceres Astigarraga & Maicon Falavigna & Carisi Anne Polanczyk, 2019. "An 8-step framework for implementing time-driven activity-based costing in healthcare studies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1133-1145, November.
    17. Mas, Nuria & Cirera, Laia & Viñolas, Guillem, 2011. "Los sistemas de copago en Europa, Estados Unidos y Canadá: Implicaciones para el caso español," IESE Research Papers D/939, IESE Business School.
    18. Binder, Martin & Buenstorf, Guido, 2018. "Smile or die: Can subjective well-being increase survival in the face of substantive health impairments?," Economics & Human Biology, Elsevier, vol. 31(C), pages 209-227.
    19. Kyran Cupido & Petar Jevtić & Tim J. Boonen, 2024. "Space, mortality, and economic growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1321-1337, August.
    20. Leonardo Becchetti & Maria Bachelet & Fabiola Riccardini, 2018. "Not feeling well … true or exaggerated? Self‐assessed health as a leading health indicator," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 153-170, February.

    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:spr:hecrev:v:7:y:2017:i:1:d:10.1186_s13561-016-0140-4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/13561 .

    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.