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Self-management of chronic diseases : a concept analysis
Lucija Gosak, Dominika Vrbnjak, Majda Pajnkihar, 2022, pregledni znanstveni članek

Opis: Introduction. Due to coronavirus disease 2019, which affected the provision of nursing care to chronic patients, the self-management of patients has increased through the use of modern technology. To support the self-management of chronic patients, it is essential to analyze and clarify the concept of self-management before using it in practice. Methods. A literature search was performed in the Web of Science, PubMed, CINAHL, ScienceDirect, Sage Journals, MEDLINE, Cochrane Library databases, in addition to Google Scholar and COBISS using the keywords “concept,” “self-care,” “chronic disease,” and “nurse.” Qualitative, quantitative, and mixed methods research, books, and abstracts, related to the selected concept in English were included in the review. Studies were ranked according to the hierarchy of evidence. Concept analysis by Cutcliffe and McKenna was used. Results. Of the 2974 identified studies, 31 were included in the analysis. Seven attributes were identified: assessment of physical and emotional signs and symptoms, response to changes, consultation with the health care provider, communication, goals, attention to treatment effectiveness, and awareness of the situation. The antecedents are learning, motivation, habits, cultural and religious values, self-efficacy, literacy. The consequences concept includes improving individuals’ clinical outcomes and quality of life and reducing public health costs. Conclusions. As nursing care focuses more and more on self-management of the disease and not just on treatment, patients are increasingly using different techniques to manage their disease. By incorporating the concept of self-management of chronic disease into modern technology, we can contribute to patient care.
Ključne besede: chronic patients, health care, self-care, self-management
Objavljeno v DKUM: 13.06.2024; Ogledov: 32; Prenosov: 14
.pdf Celotno besedilo (215,81 KB)
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International Scientific Conference »Research and Education in Nursing« : Book of Abstracts, June 13th 2024, Maribor, Slovenia
2024, zbornik

Opis: University of Maribor Faculty of Health Sciences is organising the lnternational Scientific Conference "Research and Education in Nursing". It will be held on June 13th 2024 in Maribor and will include the most recent findings of domestic and foreign researchers in nursing and other healthcare fields. The conference aims to explore advances in nursing and health care research as well as research-based education, in the Slovenian and international arena. Furthermore, it will provide an opportunity far practitioners and educators to exchange research evidence, models of best practice and innovative ideas.
Ključne besede: higher education, nursing, health sciences, conference, research
Objavljeno v DKUM: 12.06.2024; Ogledov: 53; Prenosov: 0
.pdf Celotno besedilo (4,51 MB)
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Review of artificial intelligence-based question-answering systems in healthcare
Leona Cilar Budler, Lucija Gosak, Gregor Štiglic, 2023, pregledni znanstveni članek

Ključne besede: artificial intelligence, conversational agents, ChatGPT, health care, machine learning
Objavljeno v DKUM: 05.06.2024; Ogledov: 70; Prenosov: 1
.pdf Celotno besedilo (3,65 MB)
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Self-organization of enzyme-catalyzed reactions studied by the maximum entropy production principle
Andrej Dobovišek, Marko Vitas, Tina Blaževič, Rene Markovič, Marko Marhl, Aleš Fajmut, 2023, izvirni znanstveni članek

Opis: The self-organization of open reaction systems is closely related to specific mechanisms that allow the export of internally generated entropy from systems to their environment. According to the second law of thermodynamics, systems with effective entropy export to the environment are better internally organized. Therefore, they are in thermodynamic states with low entropy. In this context, we study how self-organization in enzymatic reactions depends on their kinetic reaction mechanisms. Enzymatic reactions in an open system are considered to operate in a non-equilibrium steady state, which is achieved by satisfying the principle of maximum entropy production (MEPP). The latter is a general theoretical framework for our theoretical analysis. Detailed theoretical studies and comparisons of the linear irreversible kinetic schemes of an enzyme reaction in two and three states are performed. In both cases, in the optimal and statistically most probable thermodynamic steady state, a diffusion-limited flux is predicted by MEPP. Several thermodynamic quantities and enzymatic kinetic parameters, such as the entropy production rate, the Shannon information entropy, reaction stability, sensitivity, and specificity constants, are predicted. Our results show that the optimal enzyme performance may strongly depend on the number of reaction steps when linear reaction mechanisms are considered. Simple reaction mechanisms with a smaller number of intermediate reaction steps could be better organized internally and could allow fast and stable catalysis. These could be features of the evolutionary mechanisms of highly specialized enzymes.
Ključne besede: enzymes, kinetic data analysis, steady state, self-organization, maximum entropy production
Objavljeno v DKUM: 08.05.2024; Ogledov: 153; Prenosov: 8
.pdf Celotno besedilo (2,57 MB)
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Probiotics and their antimicrobial effect
Sabina Fijan, 2023, drugi znanstveni članki

Ključne besede: probiotics, antimicrobial, microbiological methods
Objavljeno v DKUM: 16.04.2024; Ogledov: 174; Prenosov: 7
.pdf Celotno besedilo (217,24 KB)
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Association between loneliness, well-being, and life satisfaction before and during the COVID-19 pandemic : a cross-sectional study
Mateja Lorber, Jožica Černe Kolarič, Sergej Kmetec, Barbara Kegl, 2023, izvirni znanstveni članek

Opis: Good psychological well-being contributes to a satisfying life, reduces loneliness, and enables a better quality of life. Due to the COVID-19 pandemic, people worldwide have faced various challenges, which manifest in mental health problems, dissatisfaction with life and increased loneliness. This study aimed to investigate the influence of loneliness on mental well-being and life satisfaction among the adult population during the COVID-19 pandemic. A cross-sectional study was conducted between October 2021 and January 2022. A total of 664 participants took part in the survey, of whom 484 (73%) were female and 180 (27%) were male. Our results show that loneliness can explain 48% of the total variability in mental well-being and 52% of the variability in life satisfaction. The results show a higher level of loneliness and use of information and communication technology and a lower level of contact with relatives and friends, life satisfaction, and well-being during COVID-19 than they considered before the time of COVID-19. Study findings can help improve loneliness and mental well-being, and, consequently, life satisfaction.
Ključne besede: loneliness, well-being, life satisfaction, cross-sectional study
Objavljeno v DKUM: 10.04.2024; Ogledov: 164; Prenosov: 14
.pdf Celotno besedilo (322,21 KB)
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The IHI Rochester Report 2022 on healthcare informatics research : Resuming after the CoViD-19
Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Štiglic, Pierangelo Veltri, Christopher C. Yang, 2023, pregledni znanstveni članek

Opis: In 2020, the CoViD-19 pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medical contexts. Moreover, the CoViD-19 pandemic acted as a stress test for many research endeavors, and revealed some limitations, especially in contexts where research results had an immediate impact on the social and healthcare habits of millions of people. As a result, the research community is called to perform a deep analysis of the steps already taken, and to re-think steps for the near and far future to capitalize on the lessons learned due to the pandemic. In this direction, on June 09th–11th, 2022, a group of twelve healthcare informatics researchers met in Rochester, MN, USA. This meeting was initiated by the Institute for Healthcare Informatics—IHI, and hosted by the Mayo Clinic. The goal of the meeting was to discuss and propose a research agenda for biomedical and health informatics for the next decade, in light of the changes and the lessons learned from the CoViD-19 pandemic. This article reports the main topics discussed and the conclusions reached. The intended readers of this paper, besides the biomedical and health informatics research community, are all those stakeholders in academia, industry, and government, who could benefit from the new research findings in biomedical and health informatics research. Indeed, research directions and social and policy implications are the main focus of the research agenda we propose, according to three levels: the care of individuals, the healthcare system view, and the population view.
Ključne besede: biomedical and health informatics, artificial intelligence in medicine, research trends, CoViD-19
Objavljeno v DKUM: 03.04.2024; Ogledov: 255; Prenosov: 235
.pdf Celotno besedilo (1,73 MB)
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E-learning in nursing and midwifery during the COVID-19 pandemic
Nataša Mlinar Reljić, Maja Drešček Dolinar, Gregor Štiglic, Sergej Kmetec, Zvonka Fekonja, Barbara Donik, 2023, pregledni znanstveni članek

Opis: As the COVID-19 pandemic continues to spread, e-learning has increased. This is a challenge for nursing and midwifery students, as clinical training is an essential part of their education. The aim of this review was to identify the advantages and limitations of e-learning for nursing and midwifery students during the COVID-19 pandemic. A systematic review of the literature was conducted following the PRISMA guidelines. The international databases PubMed, CINAHL/MEDLINE, Web of Science, and ScienceDirect were searched. Articles were critically appraised. Thematic analysis was used to synthesise the data. The search resulted in 91 hits. Thirteen studies were included in the final analysis. Three main themes were identified: (1) the benefits of e-learning; (2) the challenges/limitations of e-learning; and (3) recommendations for e-learning. E-learning in nursing and midwifery is an effective alternative learning process during the COVID-19 pandemic. Students perceive several benefits and challenges related to internet access, technical equipment, financial aspects, and work and family commitments.
Ključne besede: e-learning, nursing care, midwifery, pandemic
Objavljeno v DKUM: 03.04.2024; Ogledov: 140; Prenosov: 11
.pdf Celotno besedilo (2,71 MB)
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