Introduction: Health literacy of women can significantly affect different aspects of reproductive health. The aim of this study was the assessment of relationship of health literacy, socio-demographic characteristics and reproductive health behaviors of women in Serbia.Methodology: This was a cross-sectional study on a random sample of women aged 18 and over from the territories of three Serbian regions, stratified according to age groups, region and type of settlement. A standardized version of the European Health Literacy Survey Questionnaire (HLS-EU-Q47) was used in assessing health literacy of women.Results: Based on the calculated index of health literacy, 9.6% of respondents had inadequate health literacy. Inadequate levels of health literacy were more common in women living in rural areas (OR = 1.111) and the poorer classes (OR = 5.122). Employed women (OP = 1.249), with good health (OR = 1.512) with a degree (OR = 1.535) had bigger odds to have adequate health literacy. Multivariate regression analysis showed the following significant predictors: commitment to the chosen gynecologist (OR = 1.530), contraceptive use (OR = 1.020), knowledge of the damages that could be caused by the human papillomavirus (HPV) (OR = 1.578), awareness of vaccine availability against HPV infection (OR = 1.217) and following the health-related topics (OR = 2.350).Conclusion: Limited levels of health literacy were significantly higher among middle-aged women, among those living in rural areas, among women who rated their health as poor or very poor, and who exhibited more negative patterns of reproductive health behavior, indicating the need for implementation of prevention programs and strategies with the aim of increasing the level of health literacy.

Background: The aim of this study was to identify the risk factors associated with falling in post stroke patients. Methods: This retrospective case-control study included 561 neurology patients hospitalized for a stroke and divided into two groups: falling patients and non-falling patients. They referred to the Special Hospital for Cerebrovascular Diseases "Sveti Sava" in Belgrade, Serbia, from 2018- 2019. Logistic regression analysis was applied to examine socio-economic factors associated with predictors of unmet healthcare needs. Results: A significant difference was seen in the length of hospitalization of falling patients compared to the non-falling (P<0.001). We established statistically significant differences in mental status (P<0.001), sensibility (P=0.016), depressed mood (P<0.001), early (P=0.001) and medium insomnia (P=0.042), psychomotor slowness (P=0.030), somatic anxiety (P=0.044) and memory (P<0.001). Conclusion: Cerebrovascular disease distribution and the degree of neurological deficit primarily altered mental status, which could be recognized as one of the more important predictors for falling after stroke. The identification of risk factors may be a first step toward the design of intervention programs for preventing a future fall among hospitalized stroke patients.

Self-Assessed Health and Socioeconomic Inequalities in Serbia: Data from 2013 National Health Survey

Background: We aimed to determine the socio-economic factors associated with unmet healthcare needs of the population aged 20 and over in Serbia. Methods: We used data from the 2013 National Health Survey (NHS) of the population of Serbia. We focused only on the data concerning the population aged 20 and over. The final sample thus included 13,765 participants. The logistic regression was used to examine the socio-economic factors associated with unmet health care needs. Results: According to the data obtained in this study, 26.2% of the population aged 20 and over reported unmet health care needs during the previous 12 months. The multivariate analysis shows that significant indicators of unmet healthcare needs include: gender, age, marital status, level of education, financial and employment status. Conclusion: Females, the elderly and those with the lowest levels of education and household income, as well as those who are divorced and unemployed are at highest risk of unmet healthcare needs. Different policies and approaches should be taken into consideration when it comes to vulnerable population groups in order to reduce the currently existing gaps to a minimum and provide more equal opportunities for health care to all citizens.

Health indicators measure certain health characteristics in a specific population or country and can help navigate the health systems. As the global population is rising, the demand for an increase in the number of health workers is simultaneously rising. The aim of this study was to compare and predict the indicators related to the number of medical workers and medical technologies in selected countries in Eastern Europe and Balkan in the studied period. The article analyzed the reported data of selected health indicators extracted from the European Health for All database. The indicators of interest were the number of physicians, pharmacists, general practitioners and dentists per 100,000 people. To observe the changes in these indicators through the available years, we used linear trends, regression analysis and forecasting to the year 2025. The regression analysis shows that the majority of the observed countries will experience an increase in the number of general practitioners, pharmacists, health workers/professionals and dentists, as well as in the number of computerized tomography scanners and the number of magnetic resonance units, predicted to occur by 2025. Following trends of medical indicators can help the government and health sector to focus and navigate the best investments for each country according to the level of their development.

The unstoppable process of demographic aging of population has profound consequences on the economic, health, social and political spheres of society, because of the specific and diverse needs of the older population. The aim of the study was to examine gender differences of health care utilization among elderly in Serbia. The survey was conducted as a part of the national study "Health Survey of the Serbian population" in 2013. In the past year, 87.4% of the older population visited their chosen doctor. Women were significantly more likely to use primary health care compared to men, while the frequency of hospitalization is significantly higher in men. When it comes to female population, age, region of residence and financial situation stood out as the most important predictors of primary care services usage. In men, the residence stood out as the most important predictor of primary health care services usage. Multivariate binary logistic regression distinguishes gender, education and region of residence as the most important factors associated with hospital treatment.