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1.
Kakovost negovalne dokumentacije z vidika osredotočenosti na osebo in vpeljave elektronskega zdravstvenega zapisa
Maja Klančnik Gruden, 2024, doctoral dissertation

Abstract: Uvod: Dokumentacija zdravstvene nege podpira medicinske sestre pri sprejemanju kliničnih odločitev, zato je pomembno, da je kakovostna in ustreza strokovnim zahtevam ter odseva načela osredotočenosti na osebo, česar raziskave ne potrjujejo. Uvedba elektronskega zapisa zdravstvene nege (EZZN) kaže pozitivne učinke, ki niso enoznačni in zanesljivi. Namen doktorske disertacije je izdelati predlog izboljšav obstoječega kliničnega informacijskega sistema zdravstvene nege, ki bi medicinske sestre spodbujal k izvajanju bolj na osebo osredotočene zdravstvene nege. Metode: Raziskava je temeljila na paradigmi pragmatizma in uporabi mešanih metode. Kot raziskovalni pristop je bilo uporabljeno akcijsko raziskovanje. Izveden je bil en cikel, ki je potekal v petih korakih: identifikacija problema, načrtovanje, intervencija, evalvacija in integracija.V okviru identifikacije problema sta bili konvergentno izvedeni kvantitativna in kvalitativna raziskava. V kvantitativno raziskavo je bilo vključenih 207 dokumentacij otrok z akutno okužbo spodnjih dihal s treh oddelkov. Izvedena je bila opazovalna presečna raziskava s pomočjo merskega instrumenta Q-DIO. V kvalitativno raziskavo je bilo vključenih 60 dokumentacij otrok, ki so bili zbrani s pomočjo kategorizacijske matrike, izdelane na osnovi teorije Na osebo osredotočena zdravstvena nega ter analizirani po metodi direktivne analize vsebine. V fazi intervencije je bila izvedena učna delavnica, priprava pa v fazi načrtovanja. Učne delavnice se je udeležilo 47 članov tima zdravstvene nege iz oddelka, kjer so uporabljali EZZN. Ti so bili v fazi evalvacije povabljeni k sodelovanju v drugi kvalitativni raziskavi, izvedeni s pomočjo fokusnih skupin. Teh se je udeležilo 28 oseb. Zbrani podatki so bili analizirani s pomočjo orodja tematska mreža. V zadnji fazi so bili za izdelavo priporočil integrirani rezultati raziskav, analiza literature in načela teorije Na osebo osredotočena zdravstvena nega. Rezultati: Kakovost zapisov zdravstvene nege je bila pomembno višja na oddelku, kjer so uporabljali EZZN in standardiziran jezik za poimenovanje negovalnih diagnoz (p < 0,05). Najbolje so bile podprte faze procesa zdravstvene nege: izvajanje (100 %), postavljanje negovalnih diagnoz (98 %) in ocenjevanje (87 %); najslabše je bilo podprto načrtovanje (51 %). Frekvenca in raznolikost pojavljanja negovalnih diagnoz sta bili največji v fiziološki in psihološki dimenziji, pri tem je imel oddelek, ki je uporabljal EZZN in standardiziran jezik, največjo raznolikost v vseh treh dimenzijah, kjer so se diagnoze pojavljale. Pri kvalitativni analizi zapisov zdravstvene nege je bilo ugotovljeno, da ti le delno pokrivajo pet procesov osredotočenosti na osebo. Na podlagi kvalitativne analize zapisov intervjujev fokusnih skupin sta bili oblikovani dve tematski mreži: uporabnost kliničnega informacijskega sistema zdravstvene nege in na osebo osredotočeni zapisi zdravstvene nege. Razprava in sklep: Dokumentacija zdravstvene nege je pomembno orodje pri odločanju medicinskih sester. Zagotavljanje in preverjanje njene kakovosti s standardiziranimi orodji sta zato pomembni. Uporaba elektronske dokumentacije prispeva k večji kakovosti in bolj celostni obravnavi, vendar še ni zagotovilo kakovosti. Na osnovi integracije rezultatov raziskave, analize literature in teorije Na osebo osredotočena zdravstvena nega je bilo izpostavljenih pet tematskih sklopov: kompetence uporabnikov, podporno okolje, uporabniku prijazen in na procesu zdravstvene nege zasnovan informacijski sistem, pristno delovanje in izidi zdravstvene nege.
Keywords: na osebo osredotočena zdravstvena nega, elektronski zapis zdravstvene nege, klinični informacijski sistem zdravstvene nege, akutna bolnišnična obravnava
Published in DKUM: 09.05.2024; Views: 62; Downloads: 10
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2.
Diskriminacija oseb z invalidnostjo pri iskanju zaposlitve
Darja Dovečar, 2024, master's thesis

Abstract: Uvod: Diskriminacija oseb z invalidnostjo se pojavlja na številnih področjih, tudi na področju zaposlitve. Pojavlja se lahko v različnih procesih zaposlitve in vseh drugih dejavnostih, povezanih z zaposlitvijo. Metode: Za doseganje namena raziskave smo uporabili metode kvantitativne raziskovalne paradigme, in sicer sekundarno statistično analizo podatkov. Podatke za analizo spremenljivk smo prevzeli iz mednarodne baze Eurostat. Rezultati: Rezultati raziskave so med državami Evropske unije odkrili velike razlike v zaposlitveni vrzeli med osebami z invalidnostjo in osebami brez invalidnosti ter velike razlike v distribucijskih strategijah, ne pa tudi linearne povezave med zaposlitveno vrzeljo ter deleži izdatkov socialnih transferjev v primerjavi z deleži izdatkov za upravne stroške sistema, deleži izdatkov za socialno varstvo v primerjavi z deleži izdatkov za izobraževanje, zdravstvo, obrambo, zaščito, javni red in splošno varnost; deleži izdatkov za preprečevanje socialne izključenosti in brezposelnosti v primerjavi z deleži izdatkov za druga področja socialnega varstva ali deleži izdatkov za pomoč in podporo invalidnosti, brezposelnosti in socialni izključenosti v primerjavi z izdatki za druge skupine socialno izključenih. Diskusija in zaključek: Evropska unija temelji na boju proti vsem oblikam diskriminacije in si prizadeva za posebno varstvo ogroženih skupin. Med temi skupinami so osebe z invalidnostjo, saj invalidnost pogosto povzroča kritične težave pri iskanju zaposlitve.
Keywords: diskriminacija, osebe z invalidnostjo, zaposlovanje, iskanje zaposlitve, preprečevanje socialne izključenosti
Published in DKUM: 22.04.2024; Views: 108; Downloads: 13
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3.
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, review article

Abstract: 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.
Keywords: biomedical and health informatics, artificial intelligence in medicine, research trends, CoViD-19
Published in DKUM: 03.04.2024; Views: 218; Downloads: 233
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4.
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, review article

Abstract: 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.
Keywords: e-learning, nursing care, midwifery, pandemic
Published in DKUM: 03.04.2024; Views: 98; Downloads: 9
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5.
Artificial intelligence based prediction of diabetic foot risk in patients with diabetes : a literature review
Lucija Gosak, Adrijana Svenšek, Mateja Lorber, Gregor Štiglic, 2023, review article

Abstract: Diabetic foot is a prevalent chronic complication of diabetes and increases the risk of lower limb amputation, leading to both an economic and a major societal problem. By detecting the risk of developing diabetic foot sufficiently early, it can be prevented or at least postponed. Using artificial intelligence, delayed diagnosis can be prevented, leading to more intensive preventive treatment of patients. Based on a systematic literature review, we analyzed 14 articles that included the use of artificial intelligence to predict the risk of developing diabetic foot. The articles were highly heterogeneous in terms of data use and showed varying degrees of sensitivity, specificity, and accuracy. The most used machine learning techniques were support vector machine (SVM) (n = 6) and K-Nearest Neighbor (KNN) (n = 5). Future research is recommended on larger samples of participants using different techniques to determine the most effective one.
Keywords: artificial intelligence, machine learning, thermography, diabetic foot prediction, diabetes, diabetes care, diabetic foot, literature review
Published in DKUM: 27.11.2023; Views: 302; Downloads: 15
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6.
Innovative nursing care : education and research
scientific monograph

Abstract: Higher life expectancy on a global level requires complex nursing care as poor education and a lack of knowledge can lead to mistakes. There is a need for nurses who can provide high quality and advanced nursing practice. A mix of well-grounded education and innovative research is needed, where the first provides an understanding of best nursing practice care delivery and the second helps nurses determine best practices and improve nursing care. Provides a current and in-depth picture of actual nursing challenges in education, research, and clinical practice. Helpful in nursing students' education in broader nursing care fields and different approaches in holistic nursing care.
Keywords: nursing care, palliative care, dementia, emergencies, triage, education, COVID-19, older people, children, nursing students
Published in DKUM: 27.11.2023; Views: 353; Downloads: 11
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7.
Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications : a systematic review of the literature
Lucija Gosak, Kristina Martinović, Mateja Lorber, Gregor Štiglic, 2022, review article

Abstract: Aim The aim of this review is to examine the effectiveness of artificial intelligence in predicting multimorbid diabetes-related complications. Background In diabetic patients, several complications are often present, which have a significant impact on the quality of life; therefore, it is crucial to predict the level of risk for diabetes and its complications. Evaluation International databases PubMed, CINAHL, MEDLINE and Scopus were searched using the terms artificial intelligence, diabetes mellitus and prediction of complications to identify studies on the effectiveness of artificial intelligence for predicting multimorbid diabetes-related complications. The results were organized by outcomes to allow more efficient comparison. Key issues Based on the inclusion/exclusion criteria, 11 articles were included in the final analysis. The most frequently predicted complications were diabetic neuropathy (n = 7). Authors included from two to a maximum of 14 complications. The most commonly used prediction models were penalized regression, random forest and Naïve Bayes model neural network. Conclusion The use of artificial intelligence can predict the risks of diabetes complications with greater precision based on available multidimensional datasets and provides an important tool for nurses working in preventive health care. Implications for Nursing Management Using artificial intelligence contributes to a better quality of care, better autonomy of patients in diabetes management and reduction of complications, costs of medical care and mortality.
Keywords: artificial intelligence, prediction models, diabetes, prediction of diabetes complications
Published in DKUM: 03.10.2023; Views: 263; Downloads: 43
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8.
Digital tools in behavior change support education in health and other students : a systematic review
Lucija Gosak, Gregor Štiglic, Leona Cilar Budler, Isa B. Félix, Katja Braam, Nino Fijačko, Mara Pereira Guerreiro, Mateja Lorber, 2022, review article

Abstract: Due to the increased prevalence of chronic diseases, behavior changes are integral to self-management. Healthcare and other professionals are expected to support these behavior changes, and therefore, undergraduate students should receive up-to-date and evidence-based training in this respect. Our work aims to review the outcomes of digital tools in behavior change support education. A secondary aim was to examine existing instruments to assess the effectiveness of these tools. A PIO (population/problem, intervention, outcome) research question led our literature search. The population was limited to students in nursing, sports sciences, and pharmacy; the interventions were limited to digital teaching tools; and the outcomes consisted of knowledge, motivation, and competencies. A systematic literature review was performed in the PubMed, CINAHL, MEDLINE, Web of Science, SAGE, Scopus, and Cochrane Library databases and by backward citation searching. We used PRISMA guidelines 2020 to depict the search process for relevant literature. Two authors evaluated included studies using the Mixed Methods Appraisal Tool (MMAT) independently. Using inclusion and exclusion criteria, we included 15 studies in the final analysis: six quantitative descriptive studies, two randomized studies, six mixed methods studies, and one qualitative study. According to the MMAT, all studies were suitable for further analysis in terms of quality. The studies resorted to various digital tools to improve students’ knowledge of behavior change techniques in individuals with chronic disease, leading to greater self-confidence, better cooperation, and practical experience and skills. The most common limitations that have been perceived for using these tools are time and space constraints.
Keywords: digital tools, didactics, noncommunicable diseases, chronic diseases, behavior change support education, health science
Published in DKUM: 28.09.2023; Views: 263; Downloads: 22
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9.
The KIDSCREEN-27 scale: translation and validation study of the Slovenian version
Leona Cilar Budler, Majda Pajnkihar, Ulrike Ravens-Sieberer, Owen Barr, Gregor Štiglic, 2022, original scientific article

Abstract: Background: There are many methods available for measuring social support and quality of life (QoL) of adolescents, of these, the KIDSCREEN tools are most widely used. Thus, we aimed to translate and validate the KIDSCREEN-27 scale for the usage among adolescents aged between 10 and 19 years old in Slovenia. Methods: A cross-sectional study was conducted among 2852 adolescents in primary and secondary school from November 2019 to January 2020 in Slovenia. 6-steps method of validation was used to test psychometric properties of the KIDSCREEN-27 scale. We checked descriptive statistics, performed a Mokken scale analysis, parametric item response theory, factor analysis, classical test theory and total (sub)scale scores. Results: All five subscales of the KIDSCREEN-27 formed a unidimensional scale with good homogeneity and reliability. The confirmatory factor analysis showed poor fit in user model versus baseline model metrics (CFI = 0.847; TLI = 0.862) and good fit in root mean square error (RMSEA = 0.072; p(χ2) < 0.001). A scale reliability was calculated using Cronbach's α (0.93), beta (0.86), G6 (0.95) and omega (0.93). Conclusions: The questionnaire showed average psychometric properties and can be used among adolescents in Slovenia to find out about their quality of life. Further research is needed to explore why fit in user model metrics is poor.
Keywords: social support, adolescent, psychometrics, factor analysis, quality of life
Published in DKUM: 23.08.2023; Views: 237; Downloads: 22
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10.
Emotional intelligence among nursing students: findings from a longitudinal study
Leona Cilar Budler, Lucija Gosak, Dominika Vrbnjak, Majda Pajnkihar, Gregor Štiglic, 2022, original scientific article

Abstract: Emotional intelligence is an important factor for nursing students’ success and work performance. Although the level of emotional intelligence increases with age and tends to be higher in women, results of different studies on emotional intelligence in nursing students vary regarding age, study year, and gender. A longitudinal study was conducted in 2016 and 2019 among undergraduate nursing students to explore whether emotional intelligence changes over time. A total of 111 undergraduate nursing students participated in the study in the first year of their study, and 101 in the third year. Data were collected using the Trait Emotional Intelligence Questionnaire Short Form (TEIQue-SF) and Schutte Self Report Emotional Intelligence Test (SSEIT). There was a significant difference in emotional intelligence between students in their first (M = 154.40; 95% CI: 101.85–193.05) and third year (M = 162.01; 95% CI: 118.65–196.00) of study using TEIQue-SF questionnaire. There was a weak correlation (r = 0.170) between emotional intelligence and age measuring using the TEIQue-SF questionnaire, and no significant correlation when measured using SSEIT (r = 0.34). We found that nursing students’ emotional intelligence changes over time with years of education and age, suggesting that emotional intelligence skills can be improved. Further research is needed to determine the gendered nature of emotional intelligence in nursing students.
Keywords: emotional intelligence, nursing, students, caring experience, TEIQue-SF, SSEIT
Published in DKUM: 23.08.2023; Views: 313; Downloads: 32
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