Background: According to the World Health Organization’s statistics, 7 of the 10 main causes of death in 2019 were noncommunicable diseases. Health indicators are measures used to evaluate public health system effectiveness and functioning. Monitoring mortality rates from leading causes, life expectancy and other health indicators is essential to address their causes and adapt health systems to react adequately. The aim of this study is to present the dependencies of selected health care indicators and health outcomes. Methods: Based on the literature review conducted, selected health indicators, along with healthcare system data, were analyzed using Pearson’s r correlation. The analyses included data from the Organization for Economic Cooperation and Development (OECD) presented in statistics and the Health at a Glance 2021 report and data collected as part of the preparation of the Financing Global Health 2020 report by the Institute for Health Metrics and Evaluation. Results: Health system resources are linked to health outcomes. The number of medical consultations, the number of nurses per patient or the level of financing of services under general health insurance are related to life expectancy and deaths due to causes that could have been avoided or treated. Conclusions: Life expectancy is positively correlated with access to general health insurance and public expenditure on healthcare. There is a need for all countries to provide their citizens with broad access to healthcare services.

Introduction: The basic determinant of healthy behaviour—among other human behaviours—is the fact that it consistently affects health. Nowadays, health behaviour studies are considered to be an important method of measuring the health of a population. Objective: To assess the health behaviours and value-based health analysis of people aged 50+ who were hospitalized due to cardiovascular disease, depending on the selected descriptive variables. Materials and methods: The study was conducted between April 2018 and December 2018 among 411 subjects aged 50+ who were hospitalized due to cardiovascular disease at the Independent Public Health Care Unit in Sanok (Podkarpackie voivodship in Poland). The method used in the study was a diagnostic survey. The study used the authors’ survey questionnaire and two standardized tests: Inventory of Health-Related Behaviour (IHB) and List of Health Criteria (LHC). A statistical analysis was carried out in the R program, version 3.5.1. The obtained results were subjected to thorough statistical analysis using the following tests: Student’s t, Mann–Whitney U, ANOVA, Kruskal–Wallis, Fisher’s Least Significant Difference (LSD), Pearson, and Spearman. Results: The strongest correlation between health status and health behaviours (according to the IHB questionnaire) was in the area of ‘health practices’, while the lowest correlation was found in the areas of ‘correct eating habits’ and ‘preventive behaviours’. Based on the LHC questionnaire, the most important health criteria according to the subjects were ‘not feeling any physical ailments’; ‘having all body parts functional’; ‘feeling well’; ‘eating properly’; and ‘infrequent need of going to the doctor’. A positive correlation was found in the group of respondents where the ‘preventive health behaviours’ were more intense; herein, the more important criterion for the respondents was ‘eating properly’. Conclusions: Respondents aged 50+ and hospitalized for cardiovascular diseases indicated (based on the IHB questionnaire) that health behaviours in the area of ‘health practices’ had the strongest correlation with their health, while the lowest correlation was found in the areas of ‘correct eating habits’ and ‘preventive behaviours’. According to the respondents, the most important criteria determining health (according to the LHC questionnaire) included ’not feeling any physical ailments’; ‘having all body parts functional’; ‘feeling well’; ‘eating properly’; and ‘infrequent need of going to the doctor’. Based on the information collected from the respondents, it was found that the most important criteria determining health depended on selected descriptive variables, such as age, gender, place of residence, education, and marital status.

Pancreatic cancer is the seventh most common cause of death in the group of oncological diseases. Due to the asymptomatic course, early diagnosis is difficult. Currently, early detection methods are only used in high-risk groups. A literature review based on the available results of observational studies on patients with pancreatic cancer and people from high-risk groups was used to summarize the knowledge on risk factors. The GLOBOCAN 2020 data were used to assess the epidemiological situation in Europe. A summary of screening recommendations was prepared based on the available documents from medical organizations and associations. Pancreatic cancer risk factors are divided into two main groups: non-modifiable factors, e.g., hereditary factors and age, which increase the risk of developing this disease, and modifiable factors—BMI, smoking, and alcohol consumption. Hereditary factors account for 10% of pancreatic cancer cases. The highly specialized methods of early detection, (MRI, CT, or EUS) are used for screening high-risk populations. Of all the imaging methods, EUS is considered the most sensitive for pancreatic cancer and allows an accurate assessment of the size of even small lesions (<30 mm) and the extent of tumour infiltration into blood vessels. The available studies vary on the level of sensitivity and specificity of these methods for the diagnosis of pancreatic cancer. EUS, MRI, and CT are also expensive procedures and in some patients can be invasive, which is one of the arguments against the introduction of population screening programs based on imaging methods. Therefore, it is important to look for viable solutions that would improve early detection. This is important from the point of view of healthcare systems in Europe, where almost 29% of all global pancreatic cancer cases are reported.

The aim of the study was to determine the relationship between self-assessment of physical fitness and health, and the motivational role of physical activity goals in people, depending on their sports discipline. The study included 470 men and 218 women, aged 18–45, from western and southern Poland. The respondents practiced sports recreationally (fitness—F), competitively (football—FB, martial arts—MA), and for rehabilitation and sports purposes (wheelchair rugby—R). The standardized questionnaire for the motivational role of physical activity goals (Inventory of Physical Activity Objectives, IPAO) by Lipowski and Zaleski and the authors’ questionnaire on lifestyle were used. In the statistical analyses, non-parametric statistics were used. Individuals with very high and high self-assessment of their physical fitness and very good self-assessment of health achieved higher scores on the motivational value scale, time management, motivational conflict and multidimensionality of physical activity goals (p < 0.05). Respondents who assessed their health as very good achieved lower results on the perseverance scale, compared to those who assessed their health as good or poor. Self-assessment of physical fitness had a positive, high and moderate correlation with the self-assessment of health in people practicing wheelchair rugby, fitness, football and martial arts (r = 0.61; r = 0.52; r = 0.41; r = 0.40, respectively). Correlations were found between the motivational role and time management in people practicing fitness (r = 0.81), football (r = 0.66) and martial arts (r = 0.45), and multidimensionality of goals in those practicing fitness (r = 0.65) and martial arts (r = 0.42) Wheelchair rugby players scored the highest on all KCAF scales (except for motivational conflict). Self-assessment of physical fitness of wheelchair rugby players and fitness practitioners was negatively correlated with time management (r = −0.68; r = −0.49), multidimensionality of goals (r = −0.51; r = −0.49) and motivational values (r = −0.43; r = −0.43). The demonstrated relationships indicated that there was a need to strengthen the self-esteem and motivation for physical activity, promoting perseverance, the ability to focus on the implementation of one’s goals and prioritizing the goals among people practicing various sports disciplines.

The 2019 worldwide sales of Orphan Drugs were estimated at $136 billion USD, which constituted 16% of the global pharmaceutical prescription market and is expected to grow by 12% in the next 5 years. A better understanding of Orphan Drug pricing may contribute to on-going discussions on Orphan Drug Act (ODA) corrections in US or modifications of price setting mechanisms in EU. The objective of the study was comparison and analysis of the prices of Orphan Drugs in US and EU. All drugs with Orphan Drug status were compared in the US and EU. For the US prices, the US Department of Veterans Affairs (VA) was sourced. The EU List Prices came from six EU countries: Denmark, France, Germany, Greece, Poland, Spain. We found US prices to be higher than the six selected EU countries. The average Price Ratio was 1.64. The prices across EU countries were more homogeneous, while the number of the reimbursed and therefore available to patient medicines varied and was correlated with GDP per capita r = 0.87. Considered implementation of the External Reference Price system in US may generate significant savings in the US but may result in upward pressure on pricing of Orphan Drugs in EU. Centralization of the Orphan Drugs pricing negotiations in EU may prevent such development and offer a win-win opportunity for all involved parties.

The financial burden of adverse healthcare outcomes in Poland still remains unknown. The objective of the study was to estimate the cost of adverse healthcare outcomes in the Polish healthcare system. Cost calculation was performed on the basis of civil cases completed in Polish courts against doctors and healthcare entities. The research material consisted of 183 civil cases completed by a final judgment in 2011–2013. The case study was conducted in five out of forty-five district courts across the country. Out of 183 reviewed cases, 73 complaints ended up with favorable judgments (39.9%). The average value of the subject matter of the dispute was USD 78,675. The total expected value of lawsuits in the 183 reviewed cases was USD 11,299,020. The total amount awarded in 73 judgments from medical facilities to injured patients was USD 2,653,595, which on average means USD 36,351 per case. The average amount of awarded compensation was USD 33,317 per case. The average compensation amount in the analyzed cases was USD 11,724. The average one-time annuity for a patient was USD 11,788. The estimated costs of negative healthcare outcomes amounted to USD 8,000,000 per year.

Introduction. The biggest threat to life are cardiovascular diseases which are a serious problem in Poland, Europe, and worldwide. Therefore, it has become important to have proper health behaviours which significantly eliminate the occurrence and development of cardiovascular diseases. Objective. The main aim of this study is to present factors that determine health behaviours of the 50+ population with cardiovascular diseases. Materials and metod. The study was carried out among 411 individuals aged over 50 with cardiovascular diseases. The method used was a diagnostic survey. The study involved an authors' survey questionnaire and the Inventory of Health-Related Behaviours (IHB). A detailed statistical analysis was carried out in the R programme, version 3.5.1. Results. The most common disease in the study group was coronary heart disease -63.75%. The majority of respondents showed (via Inventory of Health-Related Behaviour [IHB]) that the level of their health behaviours was moderate -41.12%; the highest level of health behaviours in the study group were related to health practices, while a slightly lower level was observed in the area of positive mental attitude. Statistical significance was also found between the level of intensity of health behaviours and age, gender, BMI, place of residence, education, professional activity and marital status of the respondents. Conclusions. Anti-health behaviours were predominant among the respondents; significant demographic and social factors determining health behaviour were determined, such as age and gender; a high level of health behaviours was found in the group of women with higher education and correct body mass, living in cities and married.