High and low-fidelity simulation for respiratory diseases pediatric training: a prospective and randomized study

高保真和低保真模拟在儿科呼吸系统疾病培训中的应用:一项前瞻性随机研究

阅读:1

Abstract

OBJECTIVE: To compare high and low-fidelity simulations for the recognition of respiratory distress and failure in urgency and emergency pediatric scenarios. METHODS: 70 fourth-year medical students were randomly distributed in high and low-fidelity groups and simulated different types of respiratory problems. Theory tests, performance checklists, and satisfaction and self-confidence questionnaires were used in the assessment. Face-to-face simulation and memory retention was applied. The statistics were evaluated by averages and quartiles, Kappa, and generalized estimating equations. The p-value was considered 0.05. RESULTS: In the theory test there was an increase in scores in both methodologies (p < 0.001); in memory retention (p = 0.043) and at the end of the process the high-fidelity group had better results. The performance in the practical checklists was better after the second simulation (p > 0,05). The high-fidelity group felt more challenged in both phases (p = 0.042; p = 0.018) and showed greater self-confidence to recognize changes in clinical conditions and in memory retention (p = 0.050). The same group, in relation to the hypothetical real patient to be treated in the future, felt better confident to recognize respiratory distress and failure (p = 0.008; p = 0.004), and better prepared to make a systematic clinical evaluation of the patient in memory retention (p = 0.016). CONCLUSION: The two levels of simulations enhance diagnostic skills. High fidelity improves knowledge, leads the student to feel more challenged and more self-confident in recognizing the severity of the clinical case, including memory retention, and showed benefits regarding self-confidence in recognizing respiratory distress and failure in pediatric cases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。