Aim: The aim of this study was to explore the perceptions and satisfaction of last-year nursing students with the Self-Learning Methodology in Simulated Environments (MAES©).
Background: As a learning method, clinical simulation uses elements that replicate real clinical practice scenarios and facilitates the acquisition of competencies and learning objectives. Simulations promote critical thinking, knowledge, techniques and teamwork in nursing students. The Self-Learning Methodology in Simulated Environments (MAES©) is a method that integrates problem-based learning with realistic clinical simulation.
Design: A cross-sectional mixed-method study implemented a simulation learning method as part of the mandatory nursing training practice; that was registered in Open Science Framework (Registration DOI: https://doi.org/10.17605/OSF.IO/R89PZ).
Methods: Students were invited to complete a cross-sectional questionnaire about satisfaction with the simulation and were asked to participate in an interview about their perceptions on the simulation. All data were collected in December 2023 in a mid-sized southern Spanish university. A total of 69 last-year nursing students were enrolled in the simulation course and were selected using eligibility criteria.
Results: Satisfaction measures showed no significant differences across gender, university access, or age (p>0.05 each). However, strong correlations were found between students' preference for the simulation method and perceived effort value (p<0.001 each). Qualitative analysis identified key themes in different stages of simulation (prebriefing, scenario, briefing, debriefing), simulation benefits (learning, usefulness, positive emotions) and challenges (difficulty, realism, time constraints). Despite some realism concerns, overall, students viewed the methodology positively.
Conclusions: The findings of this study underscore the vital role of simulation-based learning in nursing education. As the field of nursing continues to evolve, so too must the educational methods we employ, with simulation-based learning standing at the forefront of this transformative journey.
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http://dx.doi.org/10.1016/j.nepr.2024.104141 | DOI Listing |
Eur J Pharmacol
February 2025
Department of Pharmacy, the Second Xiangya Hospital, Central South University, 410011, Changsha, China; Institute of Clinical Pharmacy, Central South University, 410011, Changsha, China. Electronic address:
Background: Despite increasing studies underscoring the effectiveness of new media teaching strategies in pharmacology education, the influence of different educational backgrounds is still unclear. We aimed to evaluate the efficacy of new media teaching under various educational backgrounds in pharmacology education using network meta-analysis.
Methods: Literature databases were searched from their inception to February 28, 2024 for eligible trials.
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi
December 2024
Department of Gastroenterology, Xijing Hospital, Air Force Medical University, Xi'an 710032, China. *Corresponding author, E-mail:
Objective To explore the effects of peer assistance model based on mini-clinical evaluation exercise (Mini-CEX) combined with direct observation of procedural skill (DOPS) in the teaching of autoimmune liver diseases (AILDs). Methods A total of 115 residents receiving training in the Department of Gastroenterology of Xijing Hospital were selected and divided into a control group and an experimental group according to the order in which they came to the department. The control group received traditional teaching mode, while the experimental group underwent peer assistance model based on Mini-CEX combined with DOPS.
View Article and Find Full Text PDFSci Rep
December 2024
School of Management Science and Engineering, Shandong Jianzhu University, Jinan, 250101, China.
This study seeks to improve urban supply chain management and collaborative governance in the context of public health emergencies (PHEs) by integrating fuzzy theory with the Back Propagation Neural Network (BPNN) algorithm. By combining these two approaches, an early warning mechanism for supply chain risks during PHEs is developed. The study employs Matlab software to simulate supply chain risks, incorporating fuzzy inference techniques with the adaptive data modeling capabilities of neural networks for both training and testing.
View Article and Find Full Text PDFBDJ Open
December 2024
Department of Medical Education, Virtual School of Medical Education and Management, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Objective: This study investigates the effectiveness of a newly developed smartphone-based application for teaching population oral health needs assessment to undergraduate dental students.
Methods: Target population in this study consisted of all students of Shahid Beheshti School of dentistry in the 7 and 8 semesters in the year 2023. The intervention group (7 semester) received teaching about population oral health needs assessment based on the book "Oral health surveys; basic methods", by means of an application, while the control group (8 semester) received the same content through self-learning activity.
Nurse Educ Today
December 2024
Department of Emergency Medicine, Hallym University College of Medicine, Dongtan Sacred Heart Hospital, Republic of Korea. Electronic address:
Background: Unlike that for adults, training for cardiopulmonary resuscitation of infant and child is scarce, and warrants efforts for greater accessibility. Effective self-learning could expand training accessibility and facilitate the development of effective infant and child cardiopulmonary resuscitation training methods.
Aim: This study was conducted to develop a pediatric cardiopulmonary resuscitation self-learning training program, implement nurse training, and evaluate training effectiveness by comparing trainees' achievement of self-efficacy in pediatric cardiopulmonary resuscitation, with or without instructor assistance.
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