Co-financing of organic farming in the EU : necessity or fantasy?

Purpose: The purpose of the work is to analyse and assess the situation of organic farming in the EU, as well as the support system that is targeted at this type of activity. Design/Methodology/Approach: Organic farming has shown dynamic growth and development in the last two decades, especially in economically developed countries. The study concerns sources of support for the development of organic farming in EU countries. An analytical and descriptive method based on Eurostat Faostat, Polish FADN, Statistical Yearbook of the Republic of Poland, as well as official documents and reports were used. The development of the number and area of organic farms was analysed, and mechanisms of financing ecological activity on farms were discussed. Findings: Based on the analysed information, it was found that organic farming is not developing in a similar way in all EU countries. The results of the analyses show that the main reason for conducting this type of production was the compensation paid to farmers under the CAP. Practical Implications: The obtained results can be used in analyses of agricultural policy in the scope of supporting farmers conducting production with the ecological system, considering the international perspective. Such studies are not carried out very often, and in addition, changes occur so quickly that the phenomenon should be monitored on an ongoing basis. Originality/Value: The results and conclusions are crucial because they indicate that the policy used is important and should be expanded. The legitimacy of using both the national and EU financing system for the development of organic farming has been demonstrated. Financial support should be more flexible and tailored to the needs of beneficiaries.peer-reviewe

Recommendations for the use of simulation methods in a selected area of health sciences based on an example simulation scenario

Over the past two decades, there has been rapid and enthusiastic acceptance of the simulation in medical education on the international stage. Poland compared to other countries has become unique due to the possibility of developing simulation and education by training teachers who teach medical professions, and building simulation centres.One of the most important milestones in the development of the curriculum in medical and health sciences is the introduction of a simulation-based teaching method. Active teaching methods, including medical simulation, create conditions for independent learning,so they should be permanently included in the canon of education methods in the field of health sciences

Managing patients on extracorporeal membrane oxygenation support during the COVID-19 pandemic – a proposal for a nursing standard operating procedure

Background Extracorporeal membrane oxygenation (ECMO) is effective in a selected critically ill patient population with promising results in refractory hypoxemia related to the novel coronavirus disease (COVID-19). However, it requires specialized clinicians and resources in advanced technology. Moreover, the COVID-19 remains an ongoing global emergency, and there is no evidence-based practice in preparedness. This article proposes an innovative and optimized nursing care protocol, the Standard Operating Procedure (SOP), that regulates safety and efficiency in using personal protective equipment (PPE) during ECMO-relevant procedures while providing ECMO therapy for patients with COVID-19. Methods After performing a narrative literature search, we developed a high-fidelity translational simulation scenario. It included practicing appropriate donning and doffing PPE during work organization, ECMO-related procedures, and routine daily nursing care and management of ECMO over nine hours. In addition, we held supplementary constructive debrief meetings to consult international expert in the field. Results A proposal for nursing standardized operating procedures was created, divided into categories. They included work organization, workload references, competences, infrastructural conditions, cannulation equipment, daily routine nursing care, and procedures during ECMO. Conclusions High-fidelity medical simulation can play an important role in staff training, improvement in previously gained proficiency, and development of optimal SOP for nursing care and management during ECMO in patients with COVID-19. Optimal SOPs may further guide multidisciplinary teams, including intensive care units and interventional departments

National identity predicts public health support during a global pandemic

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = −0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.publishedVersio

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Peer reviewe

National identity predicts public health support during a global pandemic (vol 13, 517, 2022) : National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)

Publisher Copyright: © The Author(s) 2022.In this article the author name ‘Agustin Ibanez’ was incorrectly written as ‘Augustin Ibanez’. The original article has been corrected.Peer reviewe

National identity predicts public health support during a global pandemic.

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic

Author Correction: National identity predicts public health support during a global pandemic

Correction to: Nature Communications https://doi.org/10.1038/s41467-021-27668-9, published online 26 January 2022