INEQUALITIES IN HEALTH STATUS DEPENDING ON SOCIO-ECONOMIC SITUATION IN THE EUROPEAN COUNTRIES
Quality health care system is a priority for citizens of each country and a precondition for economic prosperity. The public health systems in many counties bear the huge burden of treatment of serious diseases, particularly cardiovascular diseases and cancer. Cancer, heart disease, diabetes, respiratory, mental and other chronic diseases represent great suffering to citizens and represent a huge cost to society and the economy. It is estimated that they will cost the global economy around €22.5 trillion between 2012 and 2030 (EU, 2013).
Jméno a příjmení autora:
Viera Pacáková, Lucie Kopecká
Health, socio-economic situation, inequalities, multidimensional statistical methods
DOI (& full text):
There are a number of major studies which have demonstrated a clear link between socio-economic background (such as income or occupation) and health. The goal of this article is to assess and…více
There are a number of major studies which have demonstrated a clear link between socio-economic background (such as income or occupation) and health. The goal of this article is to assess and quantify inequalities in health status of inhabitants depending on socio-economic situation in European countries based on selected social and health indicators in two different periods. The earlier period is the year 2000, and the later period is the year 2015 or the most recent years. The results of the analysis based on multidimensional statistical methods should give an answer to the question as to whether and how strongly the socio-economic situation in the countries of Europe affects the health status of the population and how the situation has changed over the course of 15 years. In accordance with the stated objectives we have chosen 15 variables (source: WHO, OECD, Eurostat). These variables (indicators) together characterize the quality of life in terms of socio-economic situation and state of health of citizens in 22 selected European countries. The choice of countries was mainly inﬂuenced by the availability of data of the selected variables in the both years 2000 and 2015. According to the above mentioned goals of the article we have used factor analysis, cluster analysis and multidimensional comparative analysis methods on data sets of health and socio-economic indicators in the both years. The results of the application of these multidimensional statistical methods, their comparisons and comparisons over time can provide information on whether the targets of the European Commission and the OECD to reduce health inequalities, depending on the socio-economic situation in European countries, in the period from 2000 to 2015 have been achieved.