This study aims to provide information on the relationship between the accessibility of healthcare and avoidable mortality. Many of the general indicators such as health care expenditures, mortality, life expectancy are insufficient in comparing the national healthcare systems, because they explain only a small amount of diversity caused by socioeconomic factors. The study is based on the panel data analysis for the period from 1998 to 2015 in Slovak republic. As the indicator that takes into account socioeconomic factors and represents the level of provided healthcare, the depended variable is avoidable mortality. Independent variables represent the availability of healthcare in regions. Models were estimated separately for women and men. The results demonstrate differences between sexes, lower amenable mortality in case of women, correlated to availability of practitioners, dentists, specialists, pharmacies and gynecologists. For men, there is evidence of a relation between amenable mortality and the accessibility of specialists, pediatricians, practitioners and pharmacies.

Abstract:The study presents a general overview of the healthcare facility system of the Slovak Republic, especially in a field of the innovation process of the management information system, with a purpose of analysing the consistency and a unity of the system. The data applied in this analysis is collected as a part of the Gesiti research project. This project is developed for mapping out the management of an information system and information technology in healthcare facilities around the whole world. The main goal of the project is to identify the needs and the demands of the healthcare facilities and to create an integrated research report with a focus on a report research roadmap. The information and communication technologies that are applied are partially unsuitable in the healthcare facilities in the Slovak Republic. Information systems are used without exact plans of their future development. This makes it almost impossible to develop them according to the modern needs and to join them with the other systems that are currently used. The big issues also lie in financing these systems and the personnel responsible for them. The outcome of the analysis should create a direction for financial decision making support and for better management of the healthcare facilities, both in the public and the private sector.

Background: Alcohol is a risk factor with serious consequences for society and individuals. This study aims to present methods and approaches that might be used to estimate the costs related to excessive alcohol consumption. It emphasizes the need for general methods and approaches that are easily applicable, because the level of digitalization and data availability vary across regions. The lack of data makes many methods inapplicable and useless. The ease of applicability will help to make cost-of-illness studies and their results comparable globally. Methods: This study is based on data from the Czech Republic in 2017. Drinking alcohol results in costs of healthcare, social care, law enforcement, and administrative costs of public authorities. To quantify the cost of drinking in the Czech Republic, the top-down approach, bottom-up approach, human capital approach and attributable fractions were used. Results: In 2017, the cost related to alcohol was estimated at 0.66% of the national GDP. Lost productivity represented 54.45% of total cost related to alcohol. All cost related to alcohol is considered to be avoidable. Conclusions: The methods and approaches applied to estimate the cost of disease or any other health issue should be generalized regarding the availability of data and specifics of provided services to people who are addicted or have any kind of disability.

Background: Drinking and smoking have economic consequences and are the main risk factors of mortality and morbidity. Disease-specific deaths attributable to using substances present the primary health indicator in this study. This analysis focuses on mortality in productive age, 15 to 64 years since those deaths are considered the highest economic burden. Method: In the analytical part, data from the Registry of deaths of the Czech Republic for 1994 to 2017 were used. The number of deaths attributable to smoking and drinking was calculated using attributable fractions, based on literature review. This research aimed to reveal the gender differences in deaths attributable to drinking and smoking, according to age, and the differences in deaths regarding smoking or drinking. Results: The mortality attributable to smoking and drinking differs across age groups and genders. The highest median share of tobacco-related deaths is in the age group, 60—64 years. The highest median share of alcoholic deaths is in the age group of 50—54 years. Conclusions: There are significant differences between genders in both, smoking and drinking. A prevention program should be targeted to different age groups.

ObjectivesThe objective was to explore whether a sick leave length related to mental morbidity differs across different occupational categories.MethodsIn the analysis, registry of sick leaves was analyzed. Provided analysis is focused on the length of sick leaves related to mental diseases caused by substance use or other factors. Dependent variable is the sick leave length, and the independent variables are the categories of disease and occupation. Kruskal–Wallis test, Shapiro–Wilk test, and Brown–Forsythe (B–F) are used.ResultsThere are differences in mental sick leave lengths caused by substance use or other factors. In the case of mental illnesses attributable to drugs, differences in the sick leave duration among different working groups were not found. Considering mental disorders caused by other factors, there are differences in the sick leave duration among different working groups.ConclusionsThere is no evidence of longer sick leave in people diagnosed with mental disorder related to substance use. Differences in occupational categories do not relate to sick leave length.