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Optimizacija oskrbe pacientov v onkološki zdravstveni negi na podlagi McGillovega sodelovalnega modela
Valentina Masten, Tamara Milić, Matic Petrovič, Mirko Prosen, Sabina Ličen, 2025, original scientific article

Abstract: Izhodišča: McGillov model zdravstvene nege je celostni, sodelovalni pristop, ki poudarja aktivno vlogo pacienta, vključevanje bližnjih in krepitev psihosocialne podpore. Kljub uveljavljenosti v mednarodnem prostoru njegova uporaba v slovenski klinični praksi še ni bila raziskana. Namen raziskave je bil ovrednotiti, v kolikšni meri medicinske sestre na področju onkološke zdravstvene nege uporabljajo pristope McGillovega modela, ki vključujejo sodelovanje pacientov, vključevanje družinskih članov in krepitev psihosocialne podpore. Metode: V kvantitativni presečni raziskavi je bilo k sodelovanju povabljenih približno 400 medicinskih sester, zaposlenih na področju onkološke zdravstvene nege. Vprašalnik je pričelo izpolnjevati 166 oseb, od tega ga je popolnoma izpolnilo 126 (odzivnost 31,5 % glede na populacijo medicinskih sester zaposlenih na področju onkološke zdravstvene nege). Večina anketirancev je bila ženskega spola (77,8 %). Povprečna starost anketirancev je bila 37,71 leta (s = 8,07) s povprečno delovno dobo na področju onkološke zdravstvene nege 9,66 leta (s = 7,93). Analiza je temeljila le na popolnoma rešenih vprašalnikih. Podatke smo zbrali z novo razvito lestvico, ki temelji na McGillovem sodelovalnem modelu. Anketiranci so trditve ocenjevali na petstopenjski lestvici, ki meri pogostost izvajanja pristopov ali stopnjo strinjanja z izjavo. Izvedli smo eksploratorno in konfirmatorno faktorsko analizo, Wilcoxonove in Mann–Whitneyjeve teste ter Spearmanovo korelacijo. Rezultati: Faktorska analiza je potrdila tri konstrukte, ki pojasnjujejo 65,3 % skupne variance (KMO = 0,896; Bartlett p < 0,001). Empirične mediane vseh treh konstruktov so bile statistično značilno višje od teoretičnih (p < 0,001), kar pomeni, da so anketiranci poročali o uporabi pristopov McGillovega modela. Anketiranci z dostopom do pisnih protokolov ali organizacijsko podporo so dosegali višje rezultate (p < 0,001). Ugotovljene so bile zmerne do visoke pozitivne korelacije med uporabo pristopov in zaznavo izboljšanja oskrbe ter psihosocialnega stanja onkoloških pacientov (p < 0,001). Zaključek: Rezultati potrjujejo, da se v onkološki zdravstveni negi pogosto uporabljajo pristopi McGillovega modela, kar pozitivno sovpada z zaznanim izboljšanjem kakovosti oskrbe. Model ima potencial za širšo in bolj formalizirano implementacijo v klinično prakso.
Keywords: McGillov model zdravstvene nege, medicinske sestre, onkološka zdravstvena nega, psihosocialna podpora, sodelovanje pacienta
Published in RUP: 29.12.2025; Views: 403; Downloads: 11
.pdf Full text (209,66 KB)
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Foreword
Andreja Klančar, Tina Štemberger, Mirko Prosen, Sabina Ličen, 2025, preface, editorial, afterword

Keywords: digital education, education technology, higher education, forewords
Published in RUP: 22.12.2025; Views: 376; Downloads: 2
.pdf Full text (94,37 KB)

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Exploring student perspectives on e-learning in nursing education
Mirko Prosen, Sabina Ličen, 2025, independent scientific component part or a chapter in a monograph

Abstract: E-learning has rapidly gained prominence in nursing education, offering flexible alternatives to traditional learning. This study aimed to explore nursing students’ experiences with e-learning, focusing on perceived benefits, challenges, and its impact on skill acquisition. Using a qualitative design, data were collected from four face-to-face focus groups comprising 20 nursing students. Thematic analysis was employed to examine the data, yielding six key themes: Flexibility and accessibility benefits, Impact on student engagement and interaction, Technological and infrastructure challenges, Effect on practical skills and learning outcomes, Diverse preferences in learning approaches, and Self-management and motivation in e-learning. The findings indicate that, while e-learning provides accessibility and flexibility, it poses challenges in practical skill development and engagement. This study emphasises the need for adaptive e-learning models to meet diverse learning requirements effectively.
Keywords: online learning, blended learning, thematic analysis, skill development, student engagement
Published in RUP: 22.12.2025; Views: 348; Downloads: 0
.pdf Full text (323,42 KB)

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Digital standard for the design of inclusive and effective online courses in higher education : an integrative literature review
Sabina Ličen, Mirko Prosen, 2025, independent scientific component part or a chapter in a monograph

Abstract: This integrative literature review examines models and frameworks for digital education in higher education, synthesizing their key strengths and limitations. By analysing nine existing frameworks covering different aspects of digital education, including pedagogical approaches, technological solutions and assessment mechanisms, the study identifies gaps in the current literature. The findings show that while the individual models provide valuable insights, none of them independently offer a complete approach to the design, implementation and assessment of digital education. Therefore, this study proposes the development of an integrated digital standard that combines theoretical and practical perspectives to promote inclusive and effective online learning. Such a standard could increase the adaptability to students' needs, improve assessment mechanisms and increase the flexibility of digital learning environments. This study contributes to the development of sustainable and adaptable solutions for the future of digital education.
Keywords: innovative teaching methods, e-learning, sustainable education, effectiveness of online teaching, digital education
Published in RUP: 22.12.2025; Views: 339; Downloads: 2
.pdf Full text (174,03 KB)

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Psychological factors and mechanisms of digital learning
Maša Černelič Bizjak, Sabina Ličen, 2025, independent scientific component part or a chapter in a monograph

Abstract: The digital environment is different from natural and social environments. Technologies are evolving to support new methods of collaborative learning and interaction. A key challenge is to ensure that technology-enhanced education is effective and creates a supportive environment for students. This requires considering adaptive motivations, emotions, and psychological factors such as intrinsic motivation, cognitive load and self-regulation, all which influence student engagement and success in digital learning. This chapter provides an overview of literature on psychological processes important in digital learning. Factors such as motivation, cognitive management, and self-regulation shape student performance in these environments. The psychology of digital learning explores the cognitive, emotional, and social dimensions of education in the digital age. Research aims to optimize these environments for better learning outcomes. Understanding these psychological elements is essential for educators to create more effective, engaging, and enjoyable digital learning experiences, though the field is still developing, and many aspects remain to be explored.
Keywords: digital learning, intrinsic motivation, cognitive load, self-regulation, technology-enhanced education
Published in RUP: 19.12.2025; Views: 370; Downloads: 5
.pdf Full text (161,71 KB)

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