Effect of CRISP Method Training on ECG Diagnosis Skills of Prehospital Medical Services Personnel

Aim: In critical care settings where every minute is vital, early diagnosis and timely intervention are essential for preventing complications and improving patient outcomes. Prehospital and emergency department staff must be highly trained and capable of promptly applying medical knowledge, with electrocardiography (ECG) interpretation being a core competency. Materials and Methods: This randomized controlled trial included 176 participants divided into experimental and control groups. Baseline ECG analysis skills were assessed using a pretest. The control group received training using the classical method, while the experimental group was trained using the Cardiac Rhythm Identification for Simple People (CRISP) method. Post-training knowledge levels were evaluated through a post-test. Results: Statistically significant improvements were observed in the experimental group in the interpretation of normal sinus rhythm, supraventricular tachycardia, atrial fibrillation, and second-degree atrioventricular blocks (Mobitz type 1 and type 2). The CRISP method demonstrated superior effectiveness compared to the classical method in diagnosing these conditions. Conclusion: Both the classical and CRISP methods positively influenced participants’ ECG analysis skills. However, the CRISP method resulted in significantly better post-test performance and proved especially effective in identifying fatal arrhythmias. Importantly, the CRISP method was not less successful than the classical method in any aspect of ECG interpretation.

Authors

Publication Details

Journal
Eurasian Journal of Emergency Medicine
Published
2024-11-28
DOI
https://doi.org/10.4274/eajem.galenos.2024.75232
Citations
1
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of CRISP Method Training on ECG Diagnosis Skills of Prehospital Medical Services Personnel

Ömer Faruk Turan, Fatih Aksoy, Seher Yaman, Zeynep Kaplan et al.
1 citations
Eurasian Journal of Emergency Medicine
Quality and Safety in Healthcare
0.94
article

Effect of CRISP Method Training on ECG Diagnosis Skills of Prehospital Medical Services Personnel

Ömer Faruk Turan, Fatih Aksoy, Seher Yaman, Zeynep Kaplan, Mustafa Ayhan Ekici, İsmail Borazan
article en
1 citations

Abstract

Aim: In critical care settings where every minute is vital, early diagnosis and timely intervention are essential for preventing complications and improving patient outcomes. Prehospital and emergency department staff must be highly trained and capable of promptly applying medical knowledge, with electrocardiography (ECG) interpretation being a core competency. Materials and Methods: This randomized controlled trial included 176 participants divided into experimental and control groups. Baseline ECG analysis skills were assessed using a pretest. The control group received training using the classical method, while the experimental group was trained using the Cardiac Rhythm Identification for Simple People (CRISP) method. Post-training knowledge levels were evaluated through a post-test. Results: Statistically significant improvements were observed in the experimental group in the interpretation of normal sinus rhythm, supraventricular tachycardia, atrial fibrillation, and second-degree atrioventricular blocks (Mobitz type 1 and type 2). The CRISP method demonstrated superior effectiveness compared to the classical method in diagnosing these conditions. Conclusion: Both the classical and CRISP methods positively influenced participants’ ECG analysis skills. However, the CRISP method resulted in significantly better post-test performance and proved especially effective in identifying fatal arrhythmias. Importantly, the CRISP method was not less successful than the classical method in any aspect of ECG interpretation.

Eurasian Journal of Emergency Medicine
Openalex Percentile: Top 14%
Quality and Safety in Healthcare
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.