AAA Workload in the nurse profession / Lucia Dimunová, Ferdinand Mohnyánszki, Jana Raková - 1. vyd. - Praha : Powerprint, 2018. - 75 p. - ISBN 9788075680976.

ADM Work-Related Factors Influencing Burnout Syndrome in Nurses / Lucia Dimunová, Mária Sováriová Soósová, Ferdinand Mohnyánszki. In: Clinical Social Work and Health Intervention. - ISSN 2222-386X. - Roč. 9, č. 1 (2018), s. 25-30.

ADC Anxiety and depression in Slovak patients with rheumatoid arthritis / Mária Sováriová Soósová ... [et al.].- IF 1,807, Q2 In: Journal of Mental Health. - ISSN 0963-8237. - Vol. 26, no. 1 (2017), s. 21 - 27.

ADC Self‐Reported Cultural Competence of Nurses Providing Nursing Care in Slovakia / Martin Červený, Lucia Dimunová... [et al.]. - IF 2,54 In: Journal of Nursing Scholarship. - ISSN 1547-5069. - Roč. 52, č. 6 (2020), s. 705-712.

APVV–17– 0550 (2018-2022) Cardiovascular disease (CVD), despite significant advances in prevention and treatment, is still the most common cause of death in Europe. Most cardiovascular diseases increase morbidity and mortality due to atherosclerotic coronary artery disease. Many risk factors as well as scoring systems that can predict coronary heart disease have been suggested. These scoring systems take into account various risk factors including gender, age, smoking, systolic blood pressure and lipid profile values. However, these tools do not take into account the personalized approach or the co-operation of the risky, protective factors in assessing cardiovascular risk. Also, some of the criteria and ratings in these schemes are certainly worth thinking about. In the new SCORE recommendations, total cholesterol, not LDL or non-HDL, or the ratio of total cholesterol to HDL, is still used in the evaluation of fatalities. Looking at the complexity of cardiovascular risk detection, atherogenesis itself and taking into account the latest knowledge of evidence-based medicine, we find it difficult to consider applying general rules to a large group of patients as current information technologies and specific applications allow us to compare with previous decades calculate with a larger data input and thus consider for each patient a personalized risk based on the available, higher number of parameters, SCORE system. The project proposes a solution for a highly current problem within the early detection and cardiac management of patients in the field of cardiovascular diseases. This study aims to prepare a predictive model for the identification of potentially risky patients and, subsequently, in this group of patients, the indication of the coronary angiography based on the model using machine learning with a significant number of subjects examined.

APPV LORICCOM (APVV-15-0719) Longitudinal research on psychosocial innovations in chronic disease management, 2016-2020. In the time of financial crisis, an ageing population and a growing burden of chronic disease healthcare systems are under great pressure. The population of individuals with one or more chronic illnesses is large and growing rapidly, and the ability of the fragmented health systems to meet the complex needs of these patients is limited. As such, there is a serious need for a thoughtful, multi-stakeholder, holistic approach to the practical implementation of integrated care systems based on patient-centred, coordinated and continuous care models. The main aim of this multidisciplinary research project is to gain knowledge in the field of effective chronic disease management and options for improvements in patients’ quality of life. The project is envisaged to: effectively support people to maximise their self-care and self-management capabilities; improve adherence to treatment regimen and reduce healthcare demand; raise awareness about integrated care and chronic condition management; develop and promote a suite of products and psychosocial innovation tools designed to respond to the chronic disease challenge; and to identify and test culturally appropriate self-management programmes. This knowledge will facilitate evidence-based decision-making concerning innovative models of healthcare delivery.

KEGA project No. 007UPJŠ - 4/2018 Application of innovative multimedia approaches in teaching the effects of physical factors using an exposure model for medical students.The KEGA project has brought new forms of use of innovative multimedia technologies in practical and theoretical teaching of medical, medical and non-medical students, mainly students of general medicine, public health, nursing, physiotherapy and dentistry medicine. The aim of the project was to create, implement, apply and implement multimedia technologies in the teaching of university students, which enabled the evaluation of the impact and use of physical health factors. Physical factors can have a negative effect, including noise, ionizing and non-ionizing radiation, vibrations, shocks and other physical factors for health the state of man. Physical factors are factors that are widely used in medical practice for example, they can also have a positive effect with use in rehabilitation and physiotherapy - ultrasound, electric currents, laser, heat. The benefits of the project have increased students' knowledge, skills and abilities from various fields of medicine and modernized the profile of graduates. He actively implemented the project so-called self - evaluation model of the effects of physical factors in medical students, at the same time with evaluation of basic physiological health determinants. Subsequently, it was created online software model, assessed the impact of lifestyle, environmental and physical factors on a self-assessment scale students with the inclusion of possible reactions of physiological changes in the form of measured health parameters. The results of the project were significantly reflected in the practical skills of students in knowledge, which are necessary in assessing the effects of important etiological factors on the development of the disease. The output parts of the project include the creation of multimedia and printed scientific and educational outputs, in the form of publications, the practical application of a simple evaluation software in the evaluation of the exposure model and its evaluation in determining the human load physical factor. The project is also in accordance with the basic requirements of the EU on the so-called impact of the risk. In the frame of the project there have been 61 published papers including monographs, Current content articles and teaching textbooks.

KEGA project No.010UPJŠ-4/2021 Implementation of multimedia technologies in teaching preventive interventions in medical and non-medical disciplines is aimed at the creation, introduction, application and implementation of multimedia technologies in teaching students (medicine, nursing, public health, physiotherapy and dentistry) of higher education institutions, which will enable the creation of intervention procedures in the prevention of chronic diseases, with a focus on cardiovascular diseases. Guidance on intervention procedures will also include interventions for the elimination of risk factors. The importance of knowledge of intervention practices is an essential element in disease prevention and therapy. The project should contribute to the improvement of the quality of undergraduate as well as postgraduate education and will improve the profile of all graduates in medical and non-medical disciplines of the Faculty of Medicine of UPJŠ, the creation of new multimedia technologies in the clarification of the acting cardiovascular factors, to contribute to the application of evidence-based medicine in practice, in the long term it should contribute to the reduction of the prevalence of diseases, and thus contribute to saving of funds for the expenditure of follow-up medical care in the occurrence of given diseases.