The impact of simulation-based triage education on nursing students' self-reported clinical reasoning ability: A quasi-experimental study

Hu, Fen; Yang, Jian; Yang, Bing Xiang; Zhang, Fengjian; Yu, Sihong; Liu, Qian; Wang, Ailing; Luo, Dan; Zhu, Xiaoping; Chen, Jie

doi:10.1016/j.nepr.2020.102949

Cited by 23 publications

(19 citation statements)

References 26 publications

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“…In contrast to our study, Hu et al. ( 2021 ) reported that clinical reasoning capacity improved after a simulation‐based education. They adopted a group debriefing method and measured clinical reasoning capacity 2 weeks after simulation.…”

Section: Discussioncontrasting

confidence: 99%

Development and evaluation of virtual reality simulation education based on coronavirus disease 2019 scenario for nursing students: A pilot study

2021

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Aim This research is designed to establish and evaluate the effectiveness of a virtual reality simulation program using COVID‐19 scenario for nursing students. Design This is a quasi‐experimental study using a non‐equivalent control group pre‐test‐posttest design. Methods The participants were 65 students in their fourth year in nursing college. The knowledge about communicable infectious diseases in the respiratory system, self‐efficacy, clinical reasoning capacity and learning satisfaction was evaluated. Results The experimental group showed a significantly higher learning satisfaction (t = 3.01, p = .004). Both groups presented statistically significant differences in knowledge on infectious respiratory diseases, self‐efficacy and clinical reasoning between pre‐test and posttest. However, knowledge (t = 0.47, p = .643), self‐efficacy (t = 0.70, p = .944) and clinical reasoning were not different between the groups.

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Section: Discussioncontrasting

confidence: 99%

Development and evaluation of virtual reality simulation education based on coronavirus disease 2019 scenario for nursing students: A pilot study

2021

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“…Clinical simulation can be used in different contexts in teaching, combined with summative assessment, with grade attribution or only formative assessment, as a practice for training technical skills, nursing course screening, training of accidents with multiple victims, with students at any stage of graduation, or even in hospital accreditation and qualification of health professionals (28)(29)(30)(31) .…”

Section: Discussionmentioning

confidence: 99%

“…Using AI, the Circumplex Model and emerging theories such as Cognitive Load Theory and Connectivism Theory, professors have a knowledge base that allows them to identify crucial points in students' emotional learning process during simulation, in addition to enhancing these activities, in order to enrich and positively influence nurses' training (7,23,26,(28)(29)(30)(31)(32) .…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence in the analysis of emotions of nursing students undergoing clinical simulation

et al. 2023

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Objective: to assess nursing students’ emotions undergoing maternal-child clinical simulation. Methods: an observational study, carried out between June and July 2019. The Focus Group technique was used, with 28 nursing students, randomly distributed into three groups, with qualitative (Bardin technique) and quantitative data (Artificial Intelligence) analysis, to analyze emotions through facial expressions, tone of voice and description of speeches. Results: we defined two categories: “It was not easy, it was very stressful”; and “Very valuable experience”. In Artificial Intelligence, emotional distribution between face, voice and speech revealed a prevalence of negative valence, medium-high degree of passivity, medium power to control the situation and medium-high degree of obstruction in task accomplishment. Final considerations: this study revealed an oscillation between positive and negative emotions, and shows to the importance of recognizing them in the teaching-learning process in mother-child simulation.

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“…Students who participated in the simulation had a significantly higher clinical reasoning score than those who did not. 6 Other studies supported the improvement of clinical reasoning ability for those students who participated in simulations versus lecture only. 7,8 These studies suggest the use of simulation may prepare students for clinical practice as well as the latest iteration of the NCLEX.…”

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confidence: 93%

Impact of Simulation on Undergraduate Student Outcomes

Thomas

Barker

2022

Nurse Educ

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Background: Clinical reasoning is a cognitive and metacognitive process that is essential for positive patient outcomes. Simulation experiences provide situations and reflection where students can build clinical reasoning. Purpose: This study examined the impact of a higher number of simulation experiences on undergraduate student outcomes. Methods: A retrospective comparison study examined differences between group grade point average, Assessment Technologies Institute (ATI) predictor, and National Council Licensure Examination (NCLEX) scores (P < .05). A sample of 395 students was included in data analysis. Results: No differences were noted in grade point average or NCLEX pass rates. However, students who completed a simulation elective had significantly higher ATI predictor scores. Cohen's d (0.39) approached a medium effect size. Conclusions: Incorporating higher levels of in-person simulation through creative delivery models can improve student outcomes. Simulations may enhance students' clinical reasoning skills.

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The impact of simulation-based triage education on nursing students' self-reported clinical reasoning ability: A quasi-experimental study

Cited by 23 publications

References 26 publications

Development and evaluation of virtual reality simulation education based on coronavirus disease 2019 scenario for nursing students: A pilot study

Development and evaluation of virtual reality simulation education based on coronavirus disease 2019 scenario for nursing students: A pilot study

Artificial intelligence in the analysis of emotions of nursing students undergoing clinical simulation

Impact of Simulation on Undergraduate Student Outcomes

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