Utilizing Supplemental Online Modules for Physician Assistant Student Electrocardiogram Interpretation Training

2021 ◽  
Vol 32 (4) ◽  
pp. 242-247
Author(s):  
Mallory M. Aycock ◽  
Sheena D. Brown
2013 ◽  
Vol 24 (4) ◽  
pp. 15-18 ◽  
Author(s):  
Erin L. Lundberg ◽  
Alex Stagnaro-Green ◽  
Yilong Zhang ◽  
Susan LeLacheur ◽  
Robert Jablonover

ergopraxis ◽  
2020 ◽  
Vol 13 (09) ◽  
pp. 53-53

Die neue Zeitschrift richtet sich an Interessenten, Studierende und im Beruf tätige Physician Assistants (PA).


2020 ◽  
Author(s):  
Mohammad Alakchar ◽  
Abdisamad M. Ibrahim ◽  
Mohsin Salih ◽  
Mukul Bhattarai ◽  
Nitin Tandan ◽  
...  

BACKGROUND Interpretation of electrocardiograms (EKG) is an essential tool for every physician. Despite this, the diagnosis of life-threatening pathology on EKG remains suboptimal in trainees. The purpose of this study is to study resident attitudes and behaviours towards EKGs, and describe an innovative way to teach EKGs. OBJECTIVE Study attitudes and behaviours towards EKGs. Describe an innovative way to teach EKGs. METHODS Design: An observational cross-sectional study through an anonymous online survey of resident attitudes and comfort with EKG interpretation. This was followed by creation of a WhatsApp group for discussion and interpretation of EKGs with peers. At the end of the day, the official EKG interpretation was posted. Setting: Internal medicine residency at Southern Illinois University. Participants: Internal medicine residents Interventions: Creation of WhatsApp group to aid with EKG interpretation Measurements: A 17 item questionnaire, followed by detection of degree of participation in a WhatsApp group. RESULTS Forty-one out of 63 residents (65%) completed the survey. 85% of respondents thought that an interactive way to teach EKGs is the best method of teaching, and 73% did not feel confident interpreting EKGs. 30% often rely on automated EKG interpretation. Further analysis indicated that PGY-1 residents reported ordering fewer EKGs (correlation coefficient -0.399, p = 0.012) and were uncomfortable diagnosing QT prolongation on an EKG (correlation coefficient -0.310, p = 0.049). Residents in the third or greater year of training ordered more EKGs (correlation coefficient 0.379, p = 0.015), less frequently relied on the computer for EKG diagnosis (correlation coefficient 0.399, p = 0.010), and were comfortable diagnosing an acute myocardial infarction and atrial arrhythmias. CONCLUSIONS In conclusion, most IM trainees do not feel comfortable interpreting EKG, however, this does improve with PGY year. WhatsApp is a possible platform for teaching EKGs.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6632 ◽  
Author(s):  
Michael William Smith ◽  
David Abarca Rondero

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 (p = 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.


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