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预测高级心血管生命支持模拟中的心电图解读表现:比较墨西哥医学生的知识测试与模拟表现

Predicting electrocardiogram interpretation performance in Advanced Cardiovascular Life Support simulation: comparing knowledge tests and simulation performance among Mexican medical students.

作者信息

Smith Michael William, Abarca Rondero David

机构信息

Department of Industrial and Mechanical Engineering, Universidad de las Américas Puebla, San Andres Cholula, Puebla, Mexico.

Department of Health Sciences, Universidad de las Américas Puebla, San Andres Cholula, Puebla, Mexico.

出版信息

PeerJ. 2019 Mar 15;7:e6632. doi: 10.7717/peerj.6632. eCollection 2019.

Abstract

BACKGROUND

Simulation plays a key role in assessing performance in Advanced Cardiovascular Life Support (ACLS). Traditional knowledge tests are also important for assessing the cognitive elements of ACLS performance. However, the association between the two has not been established. In this study, we focus on one important element in ACLS-interpretation of electrocardiograms (ECG)-and the potential of knowledge tests to serve as predictors of improvement in ACLS performance.

METHODS

We looked at the correlation between Mexican medical students' improvement in ECG interpretation performance in ACLS megacode simulations (from the start of the semester to the end of the semester), and their scores on ECG interpretation knowledge tests.

RESULTS

We found significant improvement in ECG interpretation in ACLS megacode simulation (from pre-semester to post-semester), but this was not predicted by the ECG interpretation knowledge test scores. The correlation was .079 ( = 0.66).

CONCLUSIONS

These results suggest that even cognitive tasks such as ECG interpretation can be expressed and assessed differently in simulation versus traditional knowledge testing.

摘要

背景

模拟在评估高级心血管生命支持(ACLS)的表现中起着关键作用。传统知识测试对于评估ACLS表现的认知要素也很重要。然而,两者之间的关联尚未确立。在本研究中,我们聚焦于ACLS中的一个重要要素——心电图(ECG)解读,以及知识测试作为ACLS表现改善预测指标的潜力。

方法

我们研究了墨西哥医学生在ACLS综合模拟中(从学期开始到学期结束)心电图解读表现的改善情况与其心电图解读知识测试分数之间的相关性。

结果

我们发现ACLS综合模拟中的心电图解读有显著改善(从学期前到学期后),但这并非由心电图解读知识测试分数所预测。相关性为0.079(P = 0.66)。

结论

这些结果表明,即使是像心电图解读这样的认知任务,在模拟与传统知识测试中的表现和评估方式也可能不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aed/6422014/36d77d1eae58/peerj-07-6632-g001.jpg

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