Simulation-based Clinical Judgment and Performance Ability for Tracheal Suction in Nursing Students

Author:

Lim Kyung Choon

Abstract

Purpose: This study was conducted to explore the relationship between simulation-based clinical judgment and performance ability for tracheal suction in nursing students. Methods: With a convenience sampling, 207 nursing students participated in this descriptive study. Lasater clinical judgment rubric was used for self-reported clinical judgment in addition to observe the skill of tracheal suction using a checklist. Data were analyzed by descriptive statistics, t-test and Pearson's correlation coefficients using the SPSS/WIN 22. Results: A scenario with pneumonia patient was developed to observe the skill of tracheal suction during simulation-based practices. Then self-reported clinical judgment was scored. The mean score of total sum of clinical judgment, total mean of clinical judgment, and performance skill were $36.44{pm}4.82$, $13.44{pm}1.71$, and $42.32{pm}5.05$, respectively. Statistically, students having good skills in suction showed significant differences in clinical judgment of interpreting (p=.031) compared to students having fair skills. Conclusion: The results of this study show that a structured debriefing method utilizing Lasater clinical judgment rubric is helpful. Also, simulation-based practice related to adult nursing in the respiratory system was useful for increasing the core basic skills among nursing students.

Publisher

The Korean Academic Society of Nursing Education

Subject

Nursing (miscellaneous),Education,Research and Theory,Leadership and Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3