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Inequalities in cancer deaths by age, gender and education

M. Gróf, T. Vagašová, M. Oltman, Ľ. Skladaný, L. Maličká

. 2017 ; 25 (Suppl. 2) : S59-S63.

Jazyk angličtina Země Česko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc19002044

Digitální knihovna NLK
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AIM: The economy of each state provides a significant amount of money into the health care system with the aim of knowing the health status of its population in the context of socioeconomic characteristics for effective resource allocation. In recent years, there is a growing number of cancer deaths in Slovakia. Therefore, the structure of cancer deaths according to its primary determinants, such as age, sex and education with the aim of effective implementation of prevention programs in Slovakia was examined. METHODS: Main source of data on deaths from 1996 to 2014 was provided by National Health Information Centre in Slovakia. However, data were available only from 2011. Standardized mortality rate per 100,000 inhabitants was estimated by the method of direct standardization using European standard population. The R project for statistical computing was used for calculation of statistically significant differences among various groups of mortality. RESULTS: The results show that people with primary education die from cancer later than people with higher education. However, major differences related to both sex and age are present in people with university education. A different variety of cancers occur in childhood (neoplasm of brain), adolescents (neoplasm of bone), young adults (neoplasm of brain), or adults (lung cancer and breast cancer). Malignant neoplasm of brain was more prevalent at higher education levels, Malignant neoplasm of bladder and Malignant melanoma of skin were more prevalent at the university level of education. CONCLUSIONS: The results can be useful for economists to define the health priorities in each country, make the financial decisions in economics, and thus contribute to better health, economic growth, as well as effective spending of health expenditures.

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