Background: Early detection and response to patient deterioration influence patient prognosis. Nursing education is therefore essential. The objective of this randomized controlled trial was to compare the respective educational value of simulation by gaming (SG) and a traditional teaching (TT) method to improve clinical reasoning (CR) skills necessary to detect patient deterioration.
Methods: In a prospective multicenter study, and after consent, 2nd year nursing students were randomized into two groups: Simulation by gaming "SG": the student played individually with a serious game consisting of 2 cases followed by a common debriefing with an instructor;Traditional Teaching "TT": the student worked on the same cases in text paper format followed by a traditional teaching course with a PowerPoint presentation by an instructor. CR skill was measured by script concordance tests (80 SCTs, score 0-100) immediately after the session (primary outcome) and on month later. Other outcomes included students' satisfaction, motivation and professional impact.
Results: One hundred forty-six students were randomized. Immediately after training, the SCTs scores were 59 ± 9 in SG group (n = 73) and 58 ± 8 in TT group (n = 73) (p = 0.43). One month later, the SCTs scores were 59 ± 10 in SG group (n = 65) and 58 ± 8 in TT group (n = 54) (p = 0.77). Global satisfaction and motivation were highly valued in both groups although significantly greater in the SG group (p < 0.05). The students declared that the training course would have a positive professional impact, with no difference between groups.
Conclusions: In this study assessing nursing student CR to detect patient deterioration, no significant educational difference (SCT), neither immediate nor 1 month later, was observed between training by SG and the TT course. However, satisfaction and motivation were found to be greater with the use of SG.
Trial Registration: ClinicalTrials.gov; NCT03428269. Registered 30 january 2018.
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http://dx.doi.org/10.1186/s12909-020-1939-6 | DOI Listing |
J Math Biol
January 2025
Laboratory of Mathematics and Complex Systems, Ministry of Education, School of Mathematical Sciences, Beijing Normal University, Beijing, People's Republic of China.
Networked evolutionary game theory is a well-established framework for modeling the evolution of social behavior in structured populations. Most of the existing studies in this field have focused on 2-strategy games on heterogeneous networks or n-strategy games on regular networks. In this paper, we consider n-strategy games on arbitrary networks under the pairwise comparison updating rule.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Manitoba, Winnipeg, MB, Canada
Background: In the last decade, virtual reality has become a popular tool for rehabilitation. It is quite useful in spatial rehabilitation for Alzheimer’s disease (AD) as it allows safe navigation in a virtual environment which looks realistic. However, a drawback of virtual reality is cybersickness.
View Article and Find Full Text PDFFront Psychol
December 2024
Faculty of Systems Information Science, Future University Hakodate, Hakodate, Japan.
Introduction: Effective decision-making in ball games requires the ability to convert positional information from a first-person perspective into a bird's-eye view. To address this need, we developed a virtual reality (VR)-based training system designed to enhance spatial cognition.
Methods: Using a head-mounted virtual reality display, participants engaged in tasks where they tracked multiple moving objects in a virtual space and reproduced their positions from a bird's-eye perspective.
J Anesth Analg Crit Care
January 2025
Département d'anesthésie Réanimationéanimation, DMU PARABOL, AP-HP, Hôpital Beaujon, Clichy, France.
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