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1.
New challenges in scientific publications : referencing, artificial intelligence and ChatGPT
Igor Švab, Zalika Klemenc-Ketiš, Saša Zupanič, 2023, other scientific articles

Abstract: The COVID-19 pandemic has led to a surge in scientific publications, some of which have bypassed the usual peer-review processes, leading to an increase in unsupported claims being referenced. Therefore, the need for references in scientific articles is increasingly being questioned. The practice of relying solely on quantitative measures, such as impact factor, is also considered inadequate by many experts. This can lead to researchers choosing research ideas that are likely to generate favourable metrics instead of interesting and important topics. Evaluating the quality and scientific value of articles requires a rethinking of current approaches, with a move away from purely quantitative methods. Artificial intelligence (AI)-based tools are making scientific writing easier and less time-consuming, which is likely to further increase the number of scientific publications, potentially leading to higher quality articles. AI tools for searching, analysing, synthesizing, evaluating and writing scientific literature are increasingly being developed. These tools deeply analyse the content of articles, consider their scientific impact, and prioritize the retrieved literature based on this information, presenting it in simple visual graphs. They also help authors to quickly and easily analyse and synthesize knowledge from the literature, prepare summaries of key information, aid in organizing references, and improve manuscript language. The language model ChatGPT has already greatly changed the way people communicate with computers, bringing it closer to human communication. However, while AI tools are helpful, they must be used carefully and ethically.In summary, AI has already changed the way we write articles, and its use in scientific publishing will continue to enhance and streamline the process.
Keywords: scientific articles, referencing, artificial intelligence, ChatGPT, peer review, research assessment
Published in DKUM: 15.07.2024; Views: 36; Downloads: 6
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2.
CPR quality assessment in schoolchildren training
Katia M. G. Oliveira, Maria José C. Carmona, Antonio P. Mansur, Julio Y. Takada, Nino Fijačko, Federico Semeraro, Andrew Lockey, Bernd W. Böttiger, Naomi K. Nakagawa, 2022, original scientific article

Abstract: Whilst CPR training is widely recommended, quality of performance is infrequently explored. We evaluated whether a checklist can be an adequate tool for chest compression quality assessment in schoolchildren, compared with a real-time software. This observational study (March 2019–2020) included 104 schoolchildren with no previous CPR training (11–17 years old, 66 girls, 84 primary schoolchildren, 20 high schoolchildren). Simultaneous evaluations of CPR quality were performed using an observational checklist and real-time software. High-quality CPR was determined as a combination of 70% correct maneuvers in compression rate (100–120/min), depth (5–6 cm), and complete release, using a real-time software and three positive performance in skills using a checklist. We adjusted a multivariate logistic regression model for age, sex, and BMI. We found moderate to high agreement percentages in quality of CPR performance (rate: 68.3%, depth: 79.8%, and complete release: 91.3%) between a checklist and real-time software. Only 38.5% of schoolchildren (~14 years-old, ~54.4 kg, and ~22.1 kg/m2) showed high-quality CPR. High-quality CPR was more often performed by older schoolchildren (OR = 1.43, 95%IC:1.09–1.86), and sex was not an independent factor (OR = 1.26, 95%IC:0.52–3.07). For high-quality CPR in schoolchildren, a checklist showed moderate to high agreement with real-time software. Better performance was associated with age regardless of sex and BMI.
Keywords: cardiopulmonary resuscitation, education, assessment, schoolchildren, basic life support
Published in DKUM: 28.06.2024; Views: 95; Downloads: 6
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3.
Psychometric properties of the Slovenian version of the Cancer Survivors' Unmet Needs (CaSUN-SL) measure in post-treatment cancer survivors
Špela Miroševič, Polona Selič-Zupančič, Judith B. Prins, Vesna Homar, Zalika Klemenc-Ketiš, 2022, original scientific article

Abstract: Background: As the number of cancer survivors is growing, valid instruments for assessing cancer survivors' needs are required. Thus, the aim of this study was to translate and validate the Cancer Survivors Unmet Needs (CaSUN) scale. Methods: Cancer survivors were recruited from 30 family medicine practices and separated into two samples (sample 1, n = 147; sample 2, n = 148). Factor structure was explored with an exploratory analysis in sample 1 and determined with a confirmatory analysis in sample 2. Psychometric properties were assessed with internal consistency, test-retest reliability and construct validity. Results: A translation and cultural adaptation of the CaSUN scale resulted in 34 items being included in the final version. The factor structure confirmed the five-factors solution of the CaSUN-SL. Cronbach's alpha was 0.94 for the CaSUN-SL and ranged from 0.71-0.88 for specific domains. Test-retest reliability showed moderate-high stability over time. The CaSUN-SL significantly and positively correlated with anxiety (r = 0.49), depression (r = 0.44), health-related quality of life (r = 0.36), and negatively with self-perceived health (r = - 0.36) and resilience (r = - 0.47), which confirms the construct validity. In addition, we found a significant correlation between unmet needs and age (r = - 0.29), gender (r = 0.14), cancer stage (r = 0.20), cancer type (r = 0.19), and time since treatment (r = - 0.20). Conclusions: Results indicate that CaSUN-SL is a valid and reliable measure to assess the Slovenian cancer survivors' unmet, met and total needs and can be used for further prospective studies.
Keywords: Cancer survivors, needs assessment, psychometrics, anxiety, depression, quality of life, cancer, survivol, psychometrics
Published in DKUM: 27.06.2024; Views: 88; Downloads: 6
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4.
Factors associated with a high level of unmet needs and their prevalence in the breast cancer survivors 1–5 years after post local treatment and (neo)adjuvant chemotherapy during the COVID-19 : a cross-sectional study
Špela Miroševič, Judith B. Prins, Simona Borštnar, Nikola Bešić, Vesna Homar, Polona Selič-Zupančič, Andreja Cirila Škufca Smrdel, Zalika Klemenc-Ketiš, 2022, original scientific article

Abstract: Objective: To assess the prevalence of unmet needs in post-treatment breast cancer survivors and identify sociodemographic, clinical, and psychosocial variables associated with reported unmet needs during the COVID-19 pandemic. Materials and methods: In this cross-sectional study, 430 post-treatment breast cancer survivors, ranging between 1 and 5 years after the procedure, completed the Cancer Survivors’ Unmet Needs (CaSUN) questionnaire from September 2021 and January 2022. The multivariate logistic analysis identified factors associated with at least one reported unmet need in the total CaSUN scale and specific domains. Results: A total of 67% of survivors reported at least one unmet need. The most frequently reported unmet needs were the lack of accessible hospital parking (43%) and recurrence concerns (39.5%). The majority of reported unmet needs relate to comprehensive care (44%), followed by the psychological and emotional support domain (35.3%). Younger age (OR = 0.95, 95% CI = 0.92–0.99; p < 0.001), three or more comorbidities (OR = 0.27, 95% CI = 0.11–0.71, p < 0.01), a lower quality of life (OR = 0.06, 95% CI = 0.01–0.47, p < 0.01) and low resilience (OR = 0.95, 95% CI = 0.93–0.99) were associated with a high level of unmet needs in the multivariate regression model. Results are presented for factors associated with a high level of unmet needs for comprehensive cancer care and psychological and emotional support domain. Conclusion: A high prevalence found in our study could be attributed to the COVID-19 pandemic, where patients may have missed adequate follow-up care, although comparing to studies done in non-pandemic time is difficult. Family physicians should be more attentive toward younger cancer survivors and those with more comorbidities as both characteristics can be easily recognized in the family practice.
Keywords: breast cancer, cancer survivors (MeSH term), needs assessment [MeSH], fear of cancer recurrence, quality of life, psycho-oncology, COVID-19, chemotherapy, unmet needs
Published in DKUM: 27.06.2024; Views: 88; Downloads: 2
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5.
The importance of autonomy of European Union member states with regard to the use of genetically modified organisms on the right to healthcare : an analysis of judgements of the Court of Justice of the European Union
Katja Meško Kuralt, 2022, original scientific article

Abstract: The European Union Member States (hereinafter: EU MS) have the possibility of restricting or banning the cultivation of GMOs under the Directive 2015/412 but under certain conditions. EU MS must also pay attention to the provisions of the Treaty on the Functioning of the Euro-pean Union or Treaty Establishing the European Community (hereinafter: TFEU), the provi-sions relating to the free movement of goods, which is one of the key objectives of the func-tioning of the European Union. This contribution is based on the data obtained from an analy-sis of Court of Justice of the European Union (hereinafter: CJEU) cases concerning the use of genetically modified organisms (hereinafter: GMO(s)). The analysis highlights the link between environmental risk assessment and the right to healthcare. The purpose of this paper is to make the individual aware of the possibilities they have regarding the use of GMOs.
Keywords: Directive 2001/18, Directive 2015/4120, Directive 2018/350, high level of protection of human life and health, possibility of restricting or prohibiting the production of GMOs, free movement of goods, environmental risk assessment
Published in DKUM: 26.06.2024; Views: 94; Downloads: 12
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6.
The Careful Assessment tool for managing patients with medically unexplained symptoms - the experience of Slovenian family medicine trainees : a qualitative study
Vojislav Ivetić, Špela Martinjak, Alem Maksuti, 2022, original scientific article

Abstract: ntroduction Primary care physicians use various tools and methods to identify medically unexplained symptoms (MUS). The main purpose of our study is to determine the views of Slovenian family medicine trainees (FMT) about using the “Careful Assessment” tool for managing patients with MUS. Methods A qualitative study using open survey questions focused on the experience of family medicine trainees in managing patients with MUS. The sample consisted of surveys from 184 family medicine trainees. These trainees analysed a total of 702 patients with MUS. Manual coding was used for quantitative content analysis. Results In the coding process, 49 codes were developed that included broader research fields about using the “Careful Assessment” tool for managing patients with MUS. The codes were grouped into four theoretically grounded, logical categories in accordance with the elaborated theoretical concept: multi-purpose utility; improved patient management; in-depth knowledge and new skills; and patient response. Conclusion The study demonstrated that, in the view of Slovenian FMT, the “Careful Assessment” tool has multi-purpose utility. The study showed that FMT felt that this tool helps them in systematic patient management. Their opinion is that it helps them establish a trusting relationship with patients, which is a precondition for providing further treatment.
Keywords: medically unexplained symptoms, Careful Assessment tool, family medicine, qualitative studies, family medicine, trainees
Published in DKUM: 17.06.2024; Views: 106; Downloads: 6
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7.
8.
Science teachers’ approach to contemporary assessment with a reading literacy emphasis
Maja Kerneža, Dejan Zemljak, 2023, original scientific article

Abstract: In a sample of 1215 teachers, this study examined the readiness of science educators for assessment in the rapidly evolving landscape of artificial intelligence in education. Participants responded to an online questionnaire during the emergency remote teaching phase, offering insights into the frequency and nature of assessment methods utilized. The research draws a connection between assessment techniques during remote teaching and the emergence of AI in education. The results show that the selected assessment methods vary across teachers, with some specific differences observed in the assessment practices of science teachers. The study underscores the critical role of reading literacy in enhancing student engagement in contemporary learning environments. Moreover, the findings suggest that continuous professional development significantly improves the readiness of (science) teachers for AI-enhanced assessment. Drawing from these insights, recommendations for subsequent research are delineated.
Keywords: artificial intelligence, assessment, reading literacy, science teachers, teacher training
Published in DKUM: 08.05.2024; Views: 120; Downloads: 10
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9.
Kakovost oskrbe v odnosu na oceno kakovosti vodenja kronične bolezni bolnikov s koronarno boleznijo
Ksenija Tušek-Bunc, Marija Petek Šter, Davorina Petek, 2018, original scientific article

Abstract: Purpose: Patient-centered assessment of chronic illness care is replacing the assessment of satisfaction, which does not cover all dimensions of care. Pa- tient assessments reflect both the qual- ity of chronic illness care and provide feedback to healthcare workers about their work. The study aim was to inves- tigate the patient-centered assessment of coronary heart disease (CHD) pa- tients and its correlation with the care that was delivered. Methods: This cross-sectional study evaluated data obtained from the patient medical records and surveyed patients using the Patient Assessment of Chronic Illness Care (PACIC) ques- tionnaire. A descriptive analysis of the overall and domain-specific responses to the PACIC questionnaire was con- ducted and the association of the results with delivery of care data in the patient records was determined by Pearson's correlation coefficient. Results: The study sample included 768 of 1080 CHD patients (71,1%) at 36 family medicine practices who com- pleted the PACIC questionnaire. The mean age of the re- spondents was 68.3 +- 10.7 years and the overall PACIC score was 3.3 +- 0.9. The highest PACIC scores were deliv- ery system design (3.7), patient activation (3.7), and prob- lem solving (3.6). Follow-up received the lowest score (2.8). Quality of delivered care and PACIC scores were correlated (r = 0.10, p = 0.009). Conclusions: CHD patients highly rated all aspects of chronic care included in the PACIC questionnaire. They were least satisfied with the follow-up and coordination as- pects of chronic care. The process indicators of care were positively correlate with patient assessment of care.
Keywords: coronary heart disease patients, patient's assessment of chronic illness care, quality of care
Published in DKUM: 05.04.2024; Views: 163; Downloads: 6
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10.
Fracture mechanics analysis of a fatigue failure of a parabolic spring
Mirco Daniel Chapetti, Bojan Senčič, Nenad Gubeljak, 2023, original scientific article

Abstract: This study analyzed the fatigue failure of a parabolic spring made of 51CrV4 steel. A fracture mechanics approach was used to quantify the driving force and resistance for different loading configurations, inclusion sizes, and residual stresses. The analysis considered surface and internal initiation processes, including the impact of residual stresses introduced by shot peening. Key findings include the ability of the methodology to analyze the variables influencing fatigue resistance and failure configuration, the competition between surface and internal fracture processes, the limitation of residual stresses, the importance of minimizing the maximum inclusion size, and the potential for enhancing the propagation threshold for long cracks. The employed methodology facilitates not only the quantification but also the comprehension of the influence of the intrinsic material resistance on the fracture process.
Keywords: spring, fracture mechanics, short cracks, fatigue strenght estimation, small defect assessment
Published in DKUM: 26.03.2024; Views: 159; Downloads: 17
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