| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Search the digital library catalog Help

Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 4 / 4
First pagePrevious page1Next pageLast page
1.
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, other scientific articles

Abstract: 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.
Keywords: generative artificial intelligence, bibliometric analysis, congress, emergency medicine, European Resuscitation Council
Published in DKUM: 27.11.2024; Views: 0; Downloads: 0
.pdf Full text (964,04 KB)

2.
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, original scientific article

Abstract: 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.
Keywords: 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
Published in DKUM: 27.11.2024; Views: 0; Downloads: 1
.pdf Full text (778,28 KB)

3.
4.
Učinkovitost mehanskega izvajanja stisov prsnega koša: sistematična analiza preglednih člankov
Špela Metličar, 2022, undergraduate thesis

Abstract: Uvod: Nenadni srčni zastoj je eden najpogostejših vzrokov smrti. Za preživetje je ključno izvajanje temeljnih postopkov oživljanja s stisi prsnega koša, ki morajo biti dovolj kakovostni. Kot možno nadomestilo ročnih stisov so se začeli uveljavljati mehanski stisi prsnega koša. V diplomskem delu smo primerjali ročno in mehansko izvedene stise prsnega koša ter vpliv na pacientovo preživetje. Metode: Izvedli smo krovni (sistematični) pregled sistematičnih člankov na tematiko primerjave med uporabo mehanskih pripomočkov in ročne izvedbe stisov prsnega koša ter vplivov na klinične izide. Uporabili smo opisno metodo dela. Izbrane članke smo analizirali s pomočjo tabel in grafov. Rezultati: Od 71 zadetkov smo podrobno analizirali 8 člankov, s skupnim vzorcem 143 999 oseb. Vsi sistematični pregledi so skupaj vključevali 102 študiji, oziroma 54 študij brez dvojnikov. Najpogosteje uporabljena mehanska pripomočka za izvajanje temeljnih postopkov oživljanja sta bila LUCAS (angl. Lund University Cardiac Arrest System) in AutoPulse. Skoraj vse študije so obravnavale mehanske stise prsnega koša izvajane pri zunajbolnišničnem srčnem zastoju, slaba polovica pa pri znotrajbolnišničnem srčnem zastoju. Razprava in zaključek: Avtorji so med seboj neenotni glede najučinkovitejšega načina izvajanja stisov prsnega koša. Na splošno ni mogoče potrditi večje učinkovitosti izvajanja mehanskih stisov prsnega koša, saj obstajajo tudi razlike med samimi napravami in njihovim načinom delovanja. Ti so se za koristne izkazali v primeru zunajbolnišničnega srčnega zastoja, vendar obstajajo pomisleki glede preživetja in varne obravnave.
Keywords: srčni zastoj, temeljni postopki oživljanja, mehanski stisi prsnega koša, ročni stisi prsnega koša, preživetje
Published in DKUM: 19.10.2022; Views: 1320; Downloads: 177
.pdf Full text (895,80 KB)

Search done in 0.09 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica