Abstract

Abstract Objective To summarize and produce aggregated evidence on the effect of simulation-based teaching on skill performance in the nursing profession. Simulation is an active learning strategy involving the use of various resources to assimilate the real situation. It enables learners to improve their skills and knowledge in a coordinated environment. Methods Systematic literature search of original research articles was carried out through Google Scholar, Medline, and Cochrane Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases. Studies conducted on simulation-based teaching and skill performance among nursing students or clinical nursing staff from 2010 to 2019, and published in the English language, were included in this study. Methodological quality was assessed by Joanna Briggs Institute, and the risk of bias was also assessed by Cochrane risk of bias and the risk of bias assessment tool for non-randomized studies (ROBINS-I) checklists. Results Initially, 638 titles were obtained from 3 sources, and 24 original studies with 2209 study participants were taken for the final analysis. Of the total studies, 14 (58.3%) used single group prep post design, 7 (29.1%) used high fidelity simulator (HFS), and 7 (29.1%) used a virtual simulator (VS). Twenty (83.3%) studies reported improved skill performance following simulation-based teaching. Simulation-based teaching improves skill performance among types of groups (single or double), study regions, high fidelity (HF), low fidelity (LF), and standard patient (SP) users. But the effect over virtual and medium fidelity simulators was not statistically significant. Overall, simulation-based teaching improves the skill performance score among the experimental group (d = 1.01, 95% confidence interval [CI] [0.69–1.33], Z = 6.18, P < 0.01, 93.9%). Significant heterogeneity and publication bias were observed during the pooled analysis. Conclusions Simulation did improve skill performance among the intervention groups, but the conclusion is uncertain due to the significant heterogeneity. The large extent of difference among original research has necessitated the development of well-defined assessment methods for skills and standardized simulation set-up for proper assessment of their effects.

Highlights

  • Simulation is an active learning strategy involving the use of various resources to assimilate the real situation.[1]it allows students to practice skills, exercise clinical reasoning, and make patient care decisions in a safe environment.[2]

  • We are confident that using low fidelity simulator (LFS) improved the skill performance of the experimental group (Table 2)

  • The almost similar effect size was observed for nursing students d = 0.98 (CI [0.61, 1.37], P < 0.01, I2 95%)

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Summary

Introduction

Simulation is an active learning strategy involving the use of various resources to assimilate the real situation.[1]. Bland et al (2011) summarized features of simulation as a learning strategy, as it encompasses creating a hypothetical opportunity, authentic representation, active participation, integration, repetition, evaluation, and reflection. As a result, it promotes active learning, creative thinking, and high-level problem solving that can produce the capability of independent work among students.[3]. In medicine, the use of high fidelity (HF) simulation is criticized for causing overconfidence in students that was even hampering their real practice.[7] On the other hand, nursing literature reported no effect of simulation on knowledge, skill, and confidence.[8] As a result, this analysis aimed to narrow this gap by producing pooled evidence about the effect of simulation-based teaching over skill performance in the nursing profession. Studies reported that simulation helped the student to acquire knowledge, skill, and confidence in actual patient-based care.[9,10,11]

Protocol and registration
Eligibility criteria
Outcomes
Study selection
2.10. Data collection process
2.11. Risk of bias across studies
2.12. Summary measures
2.13. Synthesis of results
2.14. Risk of bias across studies
Study characteristics
Types of studies
Type of scenario
Quality of individual studies
Result of individual studies
Result
Subgroup analysis
Effect of simulator type
Types of group
Type of study participants
Study sesign
Types of scenario
Sensitivity analysis
Discussions
Conclusions
Full Text
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