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The aim of the article is to compare health system outcomes in the BRICS countries, assess the trends of their changes in 2000−2017, and verify whether they are in any way correlated with the economic context. The indicators considered were: nominal and per capita current health expenditure, government health expenditure, gross domestic product (GDP) per capita, GDP growth, unemployment, inflation, and composition of GDP. The study covered five countries of the BRICS group over a period of 18 years. We decided to characterize countries covered with a dataset of selected indicators describing population health status, namely: life expectancy at birth, level of immunization, infant mortality rate, maternal mortality ratio, and tuberculosis case detection rate. We constructed a unified synthetic measure depicting the performance of individual health systems in terms of their outcomes with a single numerical value. Descriptive statistical analysis of quantitative traits consisted of the arithmetic mean (xsr), standard deviation (SD), and, where needed, the median. The normality of the distribution of variables was tested with the Shapiro-Wilk test. Spearman's rho and Kendall tau rank coefficients were used for correlation analysis between measures. The correlation analyses have been supplemented with factor analysis. We found that the best results in terms of health care system performance were recorded in Russia, China, and Brazil. India and South Africa are noticeably worse. However, the entire group performs visibly worse than the developed countries. The health system outcomes appeared to correlate on a statistically significant scale with health expenditures per capita, governments involvement in health expenditures, GDP per capita, and industry share in GDP; however, these correlations are relatively weak, with the highest strength in the case of government's involvement in health expenditures and GDP per capita. Due to weak correlation with economic background, other factors may play a role in determining health system outcomes in BRICS countries. More research should be recommended to find them and determine to what extent and how exactly they affect health system outcomes.

Background Although multiple systematic reviews indicate that various determinants (barriers and facilitators) occur in the implementation processes of policies promoting healthy diet, physical activity (PA), and sedentary behavior (SB) reduction, the overarching synthesis of such reviews is missing. Applying the Consolidated Framework for Implementation Research (CFIR), this meta-review aims to (1) identify determinants that were systematically indicated as occurring during the implementation processes and (2) identify differences in the presence of determinants across reviews versus stakeholder documents on healthy diet/PA/SB policies, reviews/stakeholder documents addressing healthy diet policies versus PA/SB policies targeting any population/setting, and healthy diet/PA/SB policies focusing on school settings. Methods A meta-review of published systematic scoping or realist reviews (k = 25) and stakeholder documents (k = 17) was conducted. Data from nine bibliographic databases and documentation of nine major stakeholders were systematically searched. Included reviews (72%) and stakeholder documents (100%) provided qualitative synthesis of original research on implementation determinants of policies promoting healthy diet or PA or SB reduction, and 28% of reviews provided some quantitative synthesis. Determinants were considered strongly supported if they were indicated by ≥ 60.0% of included reviews/stakeholder documents. Results Across the 26 CFIR-based implementation determinants, seven were supported by 66.7–76.2% of reviews/stakeholder documents. These determinants were cost, networking with other organizations/communities, external policies, structural characteristics of the setting, implementation climate, readiness for implementation, and knowledge/beliefs of involved individuals. Most frequently, published reviews provided support for inner setting and individual determinants, whereas stakeholder documents supported outer and inner setting implementation determinants. Comparisons between policies promoting healthy diet with PA/SB policies revealed shared support for only three implementation determinants: cost, implementation climate, and knowledge/beliefs. In the case of healthy diet/PA/SB policies targeting school settings, 14 out of 26 implementation determinants were strongly supported. Conclusions The strongly supported (i.e., systematically indicated) determinants may guide policymakers and researchers who need to prioritize potential implementation determinants when planning and monitoring the implementation of respective policies. Future research should quantitatively assess the importance or role of determinants and test investigate associations between determinants and progress of implementation processes. Trial registration PROSPERO, #CRD42019133341

Background Heart failure (HF) is the leading cause of death and hospitalization in developed countries. Most of the information about HF is based on selected cohorts, the real epidemiology of HF is scarce. Purpose To assess trends in the real world incidence, prevalence and mortality of all in-and outpatients with HF who presented in public health system in 2009–2018 in Poland. Methods It is a retrospective analysis of 1,990,162 patients who presented with HF in Poland in years 2009–2018. It is a part of nationwide Polish Ministry of Health registry that collects detailed information for the entire Polish population (38,495,659 in 2013) since 2009. Detailed data within the registry were collected since 2013. HF was recorded if HF diagnosis was coded (ICD-10). Results The incidence of HF in Poland fell down from 2013 to reach 127,036 newly diagnosed cases (330 per 100,000 population) in 2018 that equals to 43.6% drop. This decrease was mainly driven by marked reduction in females (p<0.001; Fig. 1A) and HF of ischaemic etiology (HF-IE vs HF-nonIE, Fig. 1B. p<0.001). The HF incidence per 100,000 population decreased across all age groups with the greatest drop in the youngest (Table 1). The prevalence rose by 11.6% to reach 1,242,129 (3233 per 100,000 population) in 2018 with significantly greater increase in females and HF-IE (both p<0.0001, Fig. 1C and D, respectively). The HF prevalence per 100,000 population increased across all age groups except for the 70–79 years old. (Table 1). Mortality increased by 28.5% to reach 142,379 cases (370 per 100,000 population) in 2018. The rise was more pronounced among females (p=0.015, Fig. 1E) and in HF-IE (p<0.001, Fig. 1F). The HF mortality per 100 000 population increased across all age groups, except for the 50–59 subgroup (Table 1). Conclusions Heart failure incidence plummeted in years 2013–2018 in Poland due to drop in newly diagnosed HF-IE. Despite that fact, the prevalence and mortality increased with rising trends in HF-IE. Figure 1. Incidence, prevalence, mortality trends Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): The project is co-financed by the European Union from the European Social Fund under the Operational Programme Knowledge Education Development and it is being carried out by the Analyses and Strategies Department of the Polish Ministry of Health

Background: Poland is facing the growing problem of overweight and obesity in the population, which makes it necessary to conduct a thorough assessment of the existing food environment policies. The aims of the study were: (1) to depict the strength of healthy food environment policies in Poland and identify implementation policies and infrastructure support gaps; (2) to identify and prioritise improvement policies, taking into account their importance, achievability and equity. Methods: We used the Healthy Food Environment Policy Index (Food-EPI). An experts’ panel rated Polish policies and infrastructure compared to international best practices and developed a list of recommended improvement actions addressing both components. Results: eight of the twenty-two policy and four of the twenty-two infrastructure indicators achieved the “no/very weak policy” result. Another four policy and five infrastructure indicators were considered “weak”. Another seven and eight indicators, respectively, were assessed as “moderate”. Among the identified actions, the highest priority was given to a food labelling system and training for persons involved in nutrition in schools. Conclusions: The Polish healthy food environment has been assessed as very weak or weak in most aspects. The infrastructure was assessed as slightly better compared to the policies domain, with more indicators receiving the “moderate” score.