BACKGROUND: Education in nursing has noticed a positive effect of simulation-based education. There are many studies available on the effects of simulation-based education, but most of those involve a single institution, nonrandomized controlled trials, small sample sizes and subjective evaluations of the effects. The purpose of this multicenter randomized controlled trial was to evaluate the effects of high-fidelity simulation, computer-based simulation, high-fidelity simulation combined with computer-based simulation, and case study on undergraduate nursing students.
METHODS: A total of 270 nursing students were recruited from five universities in China. Participants were randomly divided into four groups at each institution: the high-fidelity simulation group, the computer-based simulation group, the high-fidelity simulation combined with computer-based simulation group, and the case study group. Finally, 239 participants completed the intervention and evaluation, with 58, 67, 57, and 57 participants in each group. The data were collected at three stages: before the intervention, immediately after the intervention, and three months after the intervention.
RESULTS: The demographic data and baseline evaluation indices did not significantly differ among the four groups. A statistically significant difference was not observed between the four methods for improving knowledge, interprofessional collaboration, critical thinking, caring, or interest in learning. While skill improvement differed significantly among the different groups after the intervention (p = 0.020), after three months, no difference was observed (p = 0.139). The improvement in skill in the computer-based simulation group was significantly lower at the end of the intervention than that in the high-fidelity simulation group (p = 0.048) or the high-fidelity simulation combined with computer-based simulation group (p = 0.020).
CONCLUSIONS: Nursing students benefit equally from four methods in cultivating their knowledge, interprofessional collaboration, critical thinking, caring, and interest in learning both immediately and over time. High-fidelity simulation and high-fidelity simulation combined with computer-based simulation improve skill more effectively than computer-based simulation in the short term. Nursing educators can select the most suitable teaching method to achieve the intended learning outcomes depending on the specific circumstances.
BACKGROUND: This clinical trial was registered at the Chinese Clinical Trial Registry (clinical trial number: ChiCTR2400084880, date of the registration: 27/05/2024).

OBJECTIVE: To conduct an umbrella review of the effectiveness of using high-fidelity simulation in nursing student teaching, thereby supporting continuous improvement in teaching practitioners\' implementation of high-fidelity simulation intervention strategies.
BACKGROUND: Several systematic reviews have investigated the effectiveness of high-fidelity simulation in nursing student teaching in recent years. However, conclusions vary and a systematic assessment is lacking.
METHODS: This review encompasses an umbrella review.
METHODS: A search of PubMed, Embase, Cochrane Library, Web of Science and OVID databases was conducted to retrieve data on an umbrella review of high-fidelity simulation effectiveness in nursing student teaching from database inception to November 2023. The quality of the included systematic reviews was independently assessed by two reviewers using the AMSTAR 2 and PRISMA scales. Outcome indicators from the included systematic reviews were graded using the GRADE system.
RESULTS: Twelve systematic reviews focusing on high-fidelity simulation effectiveness in nursing student teaching were included. Notably, all 12 systematic reviews exhibited very-low methodological quality, with 9 exhibiting some degree of reporting deficiencies, 2 exhibiting severe information deficiencies and 1 reporting relatively complete information. A total of 22 outcome indicators and 53 pieces of evidence were included. The results revealed 15 pieces of low-quality evidence and 38 pieces of very-low-quality evidence. Mounting evidence suggests that high-fidelity simulation teaching effectively enhances nursing students\' theoretical performance, practical skills and various clinical comprehensive abilities, highlighting a positive teaching effect. However, further validation through high-quality, large-sample studies is warranted.
CONCLUSIONS: The overall evidence quality of the current systematic reviews evaluating high-fidelity simulation effectiveness in nursing student teaching is low. Additionally, the methodological quality and the degree of reporting standardization require further improvement. Therefore, high-quality, large-sample randomized controlled trials are essential for further substantiating high-fidelity simulation effectiveness in nursing student teaching.

OBJECTIVE: This study aimed to evaluate the combination of virtual simulation and in-person simulation among undergraduate nursing students.
BACKGROUND: At present, in-person simulation is the main form of simulation in China. With the development of computer technology, computer-based virtual simulation is gradually applied in simulation and has shown unique advantages. However, simulation format that combines virtual simulation with in-person simulation is rare in China.
METHODS: This was a mixed methods study, which applied a QUAN→qual sequential explanatory approach.
METHODS: In the quantitative phase, a non-randomized controlled trial (NRCT) was employed among 93 junior nursing students from nursing school of a university in China. Students from parallel classes 1, 2 and 3 (45 students) were selected as experimental group, while students from parallel classes 4, 5 and 6 (48 students) were selected as control group. The control group completed the in-person simulation, while the experimental group was required to complete both virtual simulation and in-person simulation. The students\' performance in in-person simulation was evaluated by the teachers according to a demonstrating checklist. After simulation, Students were invited to answer the Students\' Satisfaction and Self-confidence in Learning Scale (SSS), Educational Practices in Simulation Scale (EPSS) and Clinical Learning Environment Comparison Survey (CLECS). A descriptive qualitative study was conducted in qualitative phase. Ten students were recruited by a purposive sampling method from the experimental group and were interviewed by the researcher. A semi-structured interview method was used to conduct in-depth interviews with them.
RESULTS: The mean score of the students\' performance in the experimental group was higher than that in the control group (63.00 vs 57.67). There were no significant differences in learning satisfaction, self-confidence and simulated practice score (except cooperation dimension) between the two groups (P>0.05). For experimental group, the total CLECS score in in-person simulation was higher than that in virtual simulation, which was 84.98±12.50 and 72.58±13.04 respectively and the difference was statistically significant (t=5.270, p<0.001). Ten students were interviewed in the qualitative phase. Through the interview, we have learned that students believed that virtual simulation combined with in-person simulation is helpful to enhance their knowledge, improve their learning confidence and help them develop non-technical skills (i.e., decision-making and critical thinking).
CONCLUSIONS: In-person simulation is the preferred form of simulation and virtual simulation is a beneficial supplement to in-person simulation. The combination of the two is suggested to be introduced into the simulation curriculum for undergraduate nursing students.

BACKGROUND: Simulation is an increasingly used novel method for the education of medical professionals. This study aimed to systematically review the efficacy of high-fidelity (HF) simulation compared with low-fidelity (LF) simulation or no simulation in advanced life support (ALS) training.
METHODS: A comprehensive search of the PubMed, Chinese Biomedicine Database, Embase, CENTRAL, ISI, and China Knowledge Resource Integrated Database was performed to identify randomized controlled trials (RCTs) that evaluated the use of HF simulation in ALS training. Quality assessment was based on the Cochrane Handbook for Systematic Reviews of Interventions version 5.0.1. The primary outcome was the improvement of knowledge and skill performance. The secondary outcomes included the participants\' confidence and satisfaction at the course conclusion, skill performance at one year, skill performance in actual resuscitation, and patient outcomes. Data were synthesized using the RevMan 5.4 software.
RESULTS: Altogether, 25 RCTs with a total of 1,987 trainees were included in the meta-analysis. In the intervention group, 998 participants used HF manikins, whereas 989 participants received LF simulation-based or traditional training (classical training without simulation). Pooled data from the RCTs demonstrated a benefit in improvement of knowledge [standardized mean difference (SMD) = 0.38; 95% confidence interval (CI): 0.18-0.59, P = 0.0003, I2 = 70%] and skill performance (SMD = 0.63; 95% CI: 0.21-1.04, P = 0.003, I2 = 92%) for HF simulation when compared with LF simulation and traditional training. The subgroup analysis revealed a greater benefit in knowledge with HF simulation compared with traditional training at the course conclusion (SMD = 0.51; 95% CI: 0.20-0.83, P = 0.003, I2 = 61%). Studies measuring knowledge at three months, skill performance at one year, teamwork behaviors, participants\' satisfaction and confidence demonstrated no significant benefit for HF simulation.
CONCLUSIONS: Learners using HF simulation more significantly benefited from the ALS training in terms of knowledge and skill performance at the course conclusion. However, further research is necessary to enhance long-term retention of knowledge and skill in actual resuscitation and patient\'s outcomes.

OBJECTIVE: To explore the effects of different lengths of the three key steps (prebriefing, simulation, and debriefing) of high-fidelity simulation (HFS) on the knowledge and skills of undergraduate nursing students.
METHODS: A systematic review and meta-analysis.
METHODS: A systematic search was conducted for Chinese and English publications from the Web of Science, PubMed, Embase, Cochrane, and two Chinese databases (Wanfang and CNKI) up to November 24, 2021.
METHODS: Two independent raters screened the retrieved studies and extracted data based on a coding protocol from the studies that met the inclusion criteria. Data were synthesized using meta-analytic procedures based on a random-effect model and computing effect sizes by standard mean differences (SMD) with a 95% confidence interval (CI).
RESULTS: Forty-four studies were included, and 23 studies were analyzed. High-fidelity simulation (HFS) with debriefing of 10 min or less (SMD = 1.18), simulation of 15-20 min (SMD = 1.43), and debriefing of 11-30 min (SMD = 1.19) showed larger effect sizes for knowledge, while HFS with debriefing of >10 min (SMD = 0.91), simulation of 15 min or less (SMD = 0.89), and over 30 min of debriefing cultivation (SMD = 0.84) showed larger effect sizes for skill.
CONCLUSIONS: During the prebriefing, simulation, and debriefing, shorter sessions are more effective for improving knowledge in BSN students, whereas longer sessions are most effective for improving skills in BSN students. Nurse educators can schedule HFS to meet the expectations of learning outcomes based on the actual situation.

Recently, there have been many advances in autonomous driving society, attracting a lot of attention from academia and industry. However, existing studies mainly focus on cars, extra development is still required for self-driving truck algorithms and models. In this article, we introduce an intelligent self-driving truck system. Our presented system consists of three main components, 1) a realistic traffic simulation module for generating realistic traffic flow in testing scenarios, 2) a high-fidelity truck model which is designed and evaluated for mimicking real truck response in real world deployment, and 3) an intelligent planning module with learning-based decision making algorithm and multi-mode trajectory planner, taking into account the truck\'s constraints, road slope changes, and the surrounding traffic flow. We provide quantitative evaluations for each component individually to demonstrate the fidelity and performance of each part. We also deploy our proposed system on a real truck and conduct real world experiments which show our system\'s capacity of mitigating sim-to-real gap. Our code is available at https://github.com/InceptioResearch/IITS.

OBJECTIVE: This meta-analysis was designed to systematically determine the effect of high-fidelity simulation teaching on nursing students\' knowledge level, professional skill level and clinical ability.
BACKGROUND: High-fidelity simulation is an increasingly popular pedagogical approach in nursing education. It provides students with opportunity to practice in a variety of simulations before entering clinical practice through a variety of real-life situational experiences and many institutions and educators have embraced this method for enhancing access to clinical skills. However, evidence for the effectiveness of the method in nursing teaching remains scarce.
METHODS: A meta-analysis and systematic review.
METHODS: The following Chinese and English databases were searched for relevant articles: PubMed, Embase, Cochrane library, Web of Science, CNKI (China National Knowledge Infrastructure) and Wangfang. The search encompassed the establishment of these databases up until November 2021. Two reviewers separately entered the data into Review Manager Software 5.3.
RESULTS: A total of 15 studies were included in this study. High-fidelity simulation significantly increased nursing students\' knowledge acquisition (SMD = 1. 37, 94％CI:0. 73-2. 00，P ＜0. 0001), enhanced nursing students\'professional skills (SMD = 0. 90, 95％CI:0. 36-1. 44，P = 0. 0001). In terms of clinical practice ability outcomes, high-fidelity simulation significantly improved the levels of critical thinking ability (SMD = 0. 58, 95％CI:0. 09-1. 07，P ＜0. 00001), Clinical judgement ability (SMD = 1. 34, 95％CI:0. 38-2. 31，P＝0. 006) and communication skills (SMD = 2. 62, 95％CI:1. 84-3. 40，P ＜0. 001) of nursing students.
CONCLUSIONS: We found that high-fidelity simulation have strong educational effects in nursing education, helping nursing students to increase knowledge acquisition, enhance professional skills and cultivate their clinical practice ability (critical thinking ability, communication skills and clinical judgement ability). These findings can provide guidance for nursing educators, indicating that the use of High-fidelity simulation teaching represents an effective solution for transitioning students from the learning environment to clinical practice.

OBJECTIVE: To explore the effectiveness of high-fidelity simulation (HFS) in undergraduate nursing education.
METHODS: A meta-analysis of randomized controlled trials and quasi-experiment.
METHODS: Web of Science, PubMed, Embase, Cochrane Library, WANFANG, and CNKI were searched for eligible articles published in English and Chinese until May 28, 2021.
METHODS: The Quality Appraisal Check-list for Quantitative Intervention Studies was applied to the quality evaluation. Standard mean differences (SMD) were pooled using a random effects model. The results of the individual and combined intervention effects estimation of was displayed in a forest plot, with weight, SMD, its corresponding 95% confidence interval (CI), Z-test, p, I2.
RESULTS: Thirty-eight studies were included and 37 were analyzed. High-fidelity simulation (HFS) revealed significantly larger effect sizes for knowledge (SMD = 0.89, 95% CI [0.54 to 1.23]), skill (SMD = 0.93, 95% CI [0.69 to 1.17]), collaboration (SMD = 0.52, 95% CI [0.26 to 0.78]), caring (SMD = 1.40, 95% CI [0.23 to 2.58]) and learning interest (SMD = 0.85, 95% CI [0.00 to 2.04]) when compared with other teaching methods. However, no significant difference between HFS and other teaching methods in critical thinking (SMD = 0.46, 95% CI [-1.12 to 1.58]), self-confidence (SMD = 0.22, 95% CI [-0.32 to 0.75]) and learning satisfaction (SMD = 0.58, 95% CI [-0.25 to 1.41]) was shown.
CONCLUSIONS: High-fidelity simulation (HFS) can more effectively cultivate knowledge, skills, collaboration, caring, and learning interest of undergraduate nursing students. Since the effect of HFS is equivalent to other teaching methods in cultivating undergraduate nursing students\' critical thinking, self-confidence and learning satisfaction, nursing educators can choose the most appropriate methods to achieve the intended learning outcomes according to the actual situation.

BACKGROUND: High-fidelity simulation (HFS) has become a widely used and established pedagogy for teaching clinical nursing skills. Nevertheless, there are few evidence-based instruments that validate the effectiveness of simulation learning in mainland China.
METHODS: The Simulation Learning Effectiveness Inventory (SLEI) was adapted and validated for use in this study. Psychometric evaluation, incorporating classical test theory and item response theory (IRT) methods, was performed with 533 third-year undergraduate nursing students who were recruited from May 2017 to July 2018.
RESULTS: The findings of exploratory and confirmatory factor analyses revealed that the simplified Chinese version of the SLEI (SLEI-SC) was composed of six factors, namely, course arrangement, equipment resource, debriefing, clinical ability, problem solving, and confidence, which explained 60.84% of the total variance. The Cronbach\'s α, MIIC, marginal reliability, and test-retest reliability values obtained for the total scale were 0.88, 0.38, 0.96, and 0.88, respectively. Furthermore, the difference between the total scores for learning effectiveness pre- and post-course was statistically significant (t = 2.59, p < 0.05, Cohen\'s d = 0.60). IRT analysis showed that the SLEI-SC discriminates well between students with high and low levels of learning effectiveness and offers information about a broad range of learning effectiveness measures. The relationship between final course grade and total score on the SLEI-SC was statistically significant (r = 0.63, p < 0.05).
CONCLUSIONS: We demonstrated initial psychometric evidence and support for the 31-item SLEI-SC as a developmentally appropriate instrument for assessing the learning effectiveness of all phases of HFS use with nursing students.

BACKGROUND: The training of neonatal resuscitation is an important part in the clinical teaching of neonatology. This study aimed to identify the educational efficacy of high-fidelity simulation compared with no simulation or low-fidelity simulation in neonatal resuscitation training.
METHODS: The PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, Chinese databases (CBM, CNKI, WanFang, and Weipu), ScopeMed and Google Scholar were searched. The last search was updated on April 13, 2019. Studies that reported the role of high-fidelity simulation in neonatal resuscitation training were eligible for inclusion. For the quality evaluation, we used the Cochrane Risk of Bias tool for RCTs and Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool for non-RCTs. A standardized mean difference (SMD) with a 95% confidence interval (CI) was applied for the estimation of the pooled effects of RCTs.
RESULTS: Fifteen studies (10 RCTs and 5 single arm pre-post studies) were ultimately included. Performance bias existed in all RCTs because participant blinding to the simulator is impossible. The assessment of the risk of bias of single arm pre-post studies showed only one study was of high quality with a low risk of bias whereas four were of low quality with a serious risk of bias. The pooled results of single arm pre-post studies by meta-analysis showed a large benefit with high-fidelity simulation in skill performance (SMD 1.34; 95% CI 0.50-2.18). The meta-analysis of RCTs showed a large benefit in skill performance (SMD 1.63; 95% CI 0.49-2.77) and a moderate benefit in neonatal resuscitation knowledge (SMD 0.69; 95% CI 0.42-0.96) with high-fidelity simulation when compared with traditional training. Additionally, a moderate benefit in skill performance (SMD 0.64; 95% CI 0.06-1.21) and a small benefit was shown in knowledge (SMD 0.39; 95% CI 0.08-0.71) with high-fidelity simulation when compared with low-fidelity simulation.
CONCLUSIONS: Improvements of efficacy were shown both in resuscitation knowledge and skill performance immediately after training. However, in current studies, the long-time retention of benefits is controversial, and these benefits may not transfer to the real-life situations.