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1.
Cognitive and emotional perceptions of illness in patients diagnosed with type 2 diabetes mellitus
Lucija Gosak, Gregor Štiglic, 2024, izvirni znanstveni članek

Opis: Type 2 diabetes mellitus (T2DM) affects a patient’s physical, social, and mental well-being. Perceptions of the illness are linked to quality of life. The aim of this study was to assess illness perception in patients diagnosed with T2DM and to validate the Brief Illness Perception Questionnaire in the Slovenian language. A cross-sectional study involved 141 patients diagnosed with T2DM. We performed a content analysis of the questionnaire and estimated the S-CVI, I-CVI, kappa coefficient. We also used Cronbach’s alpha to assess the reliability. Participants did not have a very threatening perception of T2DM, but being overweight and having cardiovascular disease were significant contributors to a more threatening perception. The most frequently indicated factors influencing the onset and development of T2DM were heredity and genetics, stress and other psychological distress, and poor and inadequate nutrition. I-CVI ranged from 0.833 to 1.00, while the kappa is greater than 0.74, confirming the excellent validity of the questions. The content validity assessment of the questionnaire further confirms that the questionnaire is suitable for use with the target population in Slovenia. The questionnaire proved to be a valid and reliable tool that can be used to assess the relationship between illness perception and self-management of T2DM.
Ključne besede: type 2 diabetes mellitus (T2DM), illness perception, psychometric properties
Objavljeno v DKUM: 28.11.2024; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (236,42 KB)
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2.
Internet use and psychosomatic symptoms among university students : cross-sectional study
Gregor Štiglic, Ruth Masterson Creber, Leona Cilar Budler, 2022, izvirni znanstveni članek

Opis: Background: Although the internet facilitates access to a wide range of knowledge and evidence, overuse among young people is associated with lower wellbeing and psychosomatic symptoms. The aim of this cross-sectional study is to explore the relationship between internet use, mental wellbeing, and psychosomatic symptoms among university students in Slovenia. Methods: We used correlation matrix plots to identify correlated symptoms and multivariate logistic regression to analyze the relationship between the time spent on the internet or computer and psychosomatic symptoms controlling for gender. Symptoms were measured using the Health Behavior of School Children scale. Results: Out of 464 students, the majority (64.7%, n = 300) were healthcare students and 35.3% (n = 164) were computer science students. Among somatic symptoms, headaches were associated with more time spent on the computer (r = −0.17, p < 0.001) and were significantly more prevalent in computer science students compared to health science students (χ2(1) = 8.52, p = 0.004). Time spent using the internet for spare time activities was associated with lower nervousness (r = 0.15, p = 0.005). Conclusions: Computer science students reported more frequent psychological symptoms compared to health science students and less somatic symptoms.
Ključne besede: psychological symptoms, somatic symptoms, technology use, wellbeing, university students
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (2,43 MB)
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3.
Using generative artificial intelligence in bibliometric analysis : 10 years of research trends from the European Resuscitation congresses
Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, Špela Metličar, Robert Greif, Gregor Štiglic, 2024, drugi znanstveni članki

Opis: Aims: The aim of this study is to use generative artificial intelligence to perform bibliometric analysis on abstracts published at European Resuscitation Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the last decade. Methods: In this bibliometric analysis, the WebHarvy software (SysNucleus, India) was used to download data from the Resuscitation journal’s website through the technique of web scraping. Next, the Chat Generative Pre-trained Transformer 4 (ChatGPT-4) application programming interface (Open AI, USA) was used to implement the multinomial classification of abstract titles following the ERC 2021 guidelines topics. Results: From 2012 to 2022 a total of 2491 abstracts have been published at ERC congresses. Published abstracts ranged from 88 (in 2020) to 368 (in 2015). On average, the most common ERC guidelines topics were Adult basic life support (50.1%), followed by Adult advanced life support (41.5%), while Newborn resuscitation and support of transition of infants at birth (2.1%) was the least common topic. The findings also highlight that the Basic Life Support and Adult Advanced Life Support ERC guidelines topics have the strongest co-occurrence to all ERC guidelines topics, where the Newborn resuscitation and support of transition of infants at birth (2.1%; 52/2491) ERC guidelines topic has the weakest co-occurrence. Conclusion: This study demonstrates the capabilities of generative artificial intelligence in the bibliometric analysis of abstract titles using the example of resuscitation medicine research over the last decade at ERC conferences using large language models.
Ključne besede: generative artificial intelligence, bibliometric analysis, congress, emergency medicine, European Resuscitation Council
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (964,04 KB)

4.
Effects of a serious smartphone game on nursing students` theoretical knowledge and practical skills in adult basic life support : randomized wait list-controlled trial
Nino Fijačko, Ruth Masterson Creber, Špela Metličar, Matej Strnad, Robert Greif, Gregor Štiglic, Pavel Skok, 2024, izvirni znanstveni članek

Opis: Background: Retention of adult basic life support (BLS) knowledge and skills after professional training declines over time.To combat this, the European Resuscitation Council and the American Heart Association recommend shorter, more frequent BLS sessions. Emphasizing technology-enhanced learning, such as mobile learning, aims to increase out-of-hospital cardiac arrest (OHCA) survival and is becoming more integral in nursing education. Objective: The aim of this study was to investigate whether playing a serious smartphone game called MOBICPR at home can improve and retain nursing students’ theoretical knowledge of and practical skills in adult BLS. Methods: This study used a randomized wait list–controlled design. Nursing students were randomly assigned in a 1:1 ratio to either a MOBICPR intervention group (MOBICPR-IG) or a wait-list control group (WL-CG), where the latter received the MOBICPR game 2 weeks after the MOBICPR-IG. The aim of the MOBICPR game is to engage participants in using smartphone gestures (eg, tapping) and actions (eg, talking) to perform evidence-based adult BLS on a virtual patient with OHCA. The participants’ theoretical knowledge of adult BLS was assessed using a questionnaire, while their practical skills were evaluated on cardiopulmonary resuscitation quality parameters using a manikin and a checklist. Results: In total, 43 nursing students participated in the study, 22 (51%) in MOBICPR-IG and 21 (49%) in WL-CG. There were differences between the MOBICPR-IG and the WL-CG in theoretical knowledge (P=.04) but not in practical skills (P=.45) after MOBICPR game playing at home. No difference was noted in the retention of participants’ theoretical knowledge and practical skills of adult BLS after a 2-week break from playing the MOBICPR game (P=.13). Key observations included challenges in response checks with a face-down manikin and a general neglect of safety protocols when using an automated external defibrillator. Conclusions: Playing the MOBICPR game at home has the greatest impact on improving the theoretical knowledge of adult BLS in nursing students but not their practical skills. Our findings underscore the importance of integrating diverse scenarios into adult BLS training.
Ključne besede: serious smartphone game, adult basic life support, teaching, games, gaming, education, nurses, nursing, educational, mHealth, mobile health, applications, smartphones, randomized controlled trial, technology-enhanced learning, life support, knowledge retention, practical
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (778,28 KB)

5.
Using generative AI to improve the performance and interpretability of rule-based diagnosis of Type 2 diabetes mellitus
Leon Kopitar, Iztok Fister, Gregor Štiglic, 2024, izvirni znanstveni članek

Opis: Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to improve both diagnostic accuracy and interpretability. This novel approach has not been explored before in using pretrained transformers for diabetes classification on tabular data. Methods: The study used the Pima Indians Diabetes dataset to investigate Type 2 diabetes mellitus. Python and Jupyter Notebook were employed for analysis, with the NiaARM framework for association rule mining. LightGBM and the dalex package were used for performance comparison and feature importance analysis, respectively. SHAP was used for local interpretability. OpenAI GPT version 3.5 was utilized for outcome prediction and interpretation. The source code is available on GitHub. Results: NiaARM generated 350 rules to predict diabetes. LightGBM performed better than the GPT-based model. A comparison of GPT and NiaARM rules showed disparities, prompting a similarity score analysis. LightGBM’s decision making leaned heavily on glucose, age, and BMI, as highlighted in feature importance rankings. Beeswarm plots demonstrated how feature values correlate with their influence on diagnosis outcomes. Discussion: Combining association rule mining with GPT for Type 2 diabetes mellitus classification yields limited effectiveness. Enhancements like preprocessing and hyperparameter tuning are required. Interpretation challenges and GPT’s dependency on provided rules indicate the necessity for prompt engineering and similarity score methods. Variations in feature importance rankings underscore the complexity of T2DM. Concerns regarding GPT’s reliability emphasize the importance of iterative approaches for improving prediction accuracy.
Ključne besede: GPT, association rule mining, classification, interpretability, diagnostics
Objavljeno v DKUM: 26.11.2024; Ogledov: 0; Prenosov: 6
.pdf Celotno besedilo (1,29 MB)
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6.
The role of visualization in estimating cardiovascular disease risk : scoping review
Adrijana Svenšek, Mateja Lorber, Lucija Gosak, Katrien Verbert, Zalika Klemenc-Ketiš, Gregor Štiglic, 2024, pregledni znanstveni članek

Opis: Background: Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients’ behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk. Objective: This review aims to present the most-used visualization techniques to estimate CVD risk. Methods: In this scoping review, we followed the Joanna Briggs Institute PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search strategy involved searching databases, including PubMed, CINAHL Ultimate, MEDLINE, and Web of Science, and gray literature from Google Scholar. This review included English-language articles on digital health, mobile health, mobile apps, images, charts, and decision support systems for estimating CVD risk, as well as empirical studies, excluding irrelevant studies and commentaries, editorials, and systematic reviews. Results: We found 774 articles and screened them against the inclusion and exclusion criteria. The final scoping review included 17 studies that used different methodologies, including descriptive, quantitative, and population-based studies. Some prognostic models, such as the Framingham Risk Profile, World Health Organization and International Society of Hypertension risk prediction charts, Cardiovascular Risk Score, and a simplified Persian atherosclerotic CVD risk stratification, were simpler and did not require laboratory tests, whereas others, including the Joint British Societies recommendations on the prevention of CVD, Systematic Coronary Risk Evaluation, and Framingham-Registre Gironí del COR, were more complex and required laboratory testing–related results. The most frequently used prognostic risk factors were age, sex, and blood pressure (16/17, 94% of the studies); smoking status (14/17, 82%); diabetes status (11/17, 65%); family history (10/17, 59%); high-density lipoprotein and total cholesterol (9/17, 53%); and triglycerides and low-density lipoprotein cholesterol (6/17, 35%). The most frequently used visualization techniques in the studies were visual cues (10/17, 59%), followed by bar charts (5/17, 29%) and graphs (4/17, 24%). Conclusions: On the basis of the scoping review, we found that visualization is very rarely included in the prognostic models themselves even though technology-based interventions improve health care worker performance, knowledge, motivation, and compliance by integrating machine learning and visual analytics into applications to identify and respond to estimation of CVD risk. Visualization aids in understanding risk factors and disease outcomes, improving bioinformatics and biomedicine. However, evidence on mobile health’s effectiveness in improving CVD outcomes is limited.
Ključne besede: cardiovascular disease prevention, risk factors, visual analytics, visualization, mobile phone, PRISMA
Objavljeno v DKUM: 26.11.2024; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (435,60 KB)

7.
Mobile applications for learning hand hygiene : a comparative analysis
Dominika Muršec, Adrijana Svenšek, Lucija Gosak, Sonja Šostar-Turk, Urška Rozman, Gregor Štiglic, Mateja Lorber, 2024, pregledni znanstveni članek

Opis: Infection control is crucial for high-quality patient care. One of the most effective and commonly used infection control procedures is hand hygiene which, it is known, requires repeated refresher training. There are many ways to educate healthcare professionals about hand hygiene, including the use of mobile applications (apps). Our aim is to review such hand hygiene apps, and to identify which have been available since 2021 and to assess their quality. We conducted a review using the PRISMA diagram to document our app selection process in the Google Play Store and Apple store in March 2024. For the evaluation of apps, we used the user version of the Mobile Application Rating Scale questionnaire (uMARS). Of 16 apps only five adhere to WHO hand hygiene guidelines. Timers were included in 12 of the 16 apps and reminders were included in 10 of 16 apps. The highest overall uMARS scoring app was Give Me 5–Hand Hygiene (4.31 ± 0.28), while Wash your hands! (1.17 ± 0.14) had the lowest score. We found that more than half of the apps were unavailable from the 2021 review. We believe that app-based education could effectively sustain hand hygiene knowledge in healthcare settings.
Ključne besede: hand hygiene, innovative education, WHO
Objavljeno v DKUM: 25.11.2024; Ogledov: 0; Prenosov: 2
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8.
Person-centred care: a support strategy for managing non-communicable diseases
Mateja Lorber, Nataša Mlinar Reljić, Barbara Kegl, Zvonka Fekonja, Gregor Štiglic, Adam Davey, Sergej Kmetec, 2024, izvirni znanstveni članek

Opis: Background: Over the last decade, the inadequacy and unsustainability of current healthcare services for managing long-term co-morbid and multi-morbid diseases have become evident. Methods: This study, involving 426 adults with at least one non-communicable disease in Slovenia, aimed to explore the link between quality of life, life satisfaction, person-centred care, and non-communicable disease management. Results: Results indicated generally positive perceptions of quality of life, general health, and life satisfaction of individuals with non-communicable diseases. Participants assessed their physical health as the highest of the four quality of life domains, followed by the environment, social relations, and psychological health. Significant differences occurred in life satisfaction, general health, quality of life, and person-centred care for managing non-communicable diseases. But, there were no significant differences in person-centred care according to the living environment. The study revealed a positive association between person-centred care and effective non-communicable disease management, which is also positively associated with quality of life, general health, and life satisfaction. Conclusions: Person-centred care is currently the most compassionate and scientific practice conceived, representing a high ethical standard. However, implementing this approach in healthcare systems requires a cohesive national strategy led by capable individuals to foster stakeholder collaboration. Such an approach is crucial to address the deficiencies of existing healthcare services and ensure person-centred care sustainability in non-communicable disease management.
Ključne besede: person-centred care, non-communicable disease, quality of life, life satisfaction
Objavljeno v DKUM: 22.11.2024; Ogledov: 0; Prenosov: 2
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9.
Učinkovitost mobilnih aplikacij za ozaveščanje mladostnikov o tvegani rabi alkohola
Valentina Kosi, 2024, diplomsko delo

Opis: Uvod: Tvegano pitje alkohola pri mladostnikih je resen problem sodobnega časa. Mobilne aplikacije v tem času predstavljajo zelo dostopno sredstvo za kakovostno ozaveščanje mladostnikov. Namen zaključnega dela je raziskati učinkovitost mobilnih aplikacij za ozaveščanje mladostnikov o tvegani rabi alkohola. Metode: Izvedli smo pregled znanstvene literature z iskanjem v podatkovnih bazah PubMed, CINAHL ULTIMATE (EBSCOhost), Cochrane Library in ScienceDirect. Raziskave smo razvrstili v hiearhijo dokazov. Potek iskanja in pregleda smo prikazali v PRISMA diagramu. Vključene raziskave smo prikazali v evalvacijski tabeli. Rezultati: Od 161 raziskav je bilo identificiranih 6 raziskav, ki so bile sistematični pregled literature (n = 1), posamezne randomizirane kontrolirane raziskave (n = 3), raziskave mešanih metod (n = 1) ter kvalitativne raziskave (n = 1). Raziskave so pokazale, da mobilne aplikacije, mobilna sporočila, program za zmanjšanje tveganega pitja alkohola in kratke intervencije učinkovito ozaveščajo mladostnike o tvegani rabi alkohola. Razprava in zaključek: Mobilne aplikacije lahko z ustreznimi intervencijami zmanjšajo tvegano pitje alkohola pri mladostnikih, saj izkoriščajo razvoj mobilne tehnologije in priljubljenost telefonov med mladimi.
Ključne besede: mobilne aplikacije, mladostniki, alkohol
Objavljeno v DKUM: 19.11.2024; Ogledov: 0; Prenosov: 27
.pdf Celotno besedilo (691,80 KB)

10.
Advanced Quantitative Research Methods in Nursing
Lucija Gosak, Leona Cilar Budler, Roger Watson, Gregor Štiglic, 2024

Opis: The publication "Analysis of quantitative research data in nursing research: A guide to SPSS" provides nursing students and nurses with the knowledge and skills to interpret the different statistical methods in their field, which can improve users' skills in collecting, analysing and interpreting results from clinical practice, thus contributing to improving the quality of health care. It provides detailed instructions on how to use IBM SPSS and perform statistical analyses that nurses need to be familiar with as they use and generate data in their daily work with patients. The main aim of patient care is to provide high quality, evidence-based care, so nurses have a duty to keep up to date with the latest research and evidence and apply it to their work. The knowledge gained in this book can also help nurses to better understand and interpret previously published results, and thus critically assess the validity and reliability of the results they will use in clinical practice.
Ključne besede: quantitative analysis, statistics, IBM SPSS, reliability, validity, data analysis
Objavljeno v DKUM: 18.07.2024; Ogledov: 113; Prenosov: 24
.pdf Celotno besedilo (18,18 MB)
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