Effectiveness of Large-Scale Preparedness Training on Electrocardiogram for Medical, Surgical, and Pre-clinical Doctors: A Need-Based Initiative for COVID-19 Patient Care.
Cureus
; 14(2): e22011, 2022 Feb.
Article
en En
| MEDLINE
| ID: mdl-35340521
INTRODUCTION: One of the competencies expected of all doctors posted in coronavirus disease 2019 (COVID-19) wards, is ECG rhythm identification, interpretation, and intervention for immediate management of patients. This study was undertaken to evaluate the effectiveness of the ECG training module as a component of preparedness training to combat COVID-19. METHODOLOGY: This was a cross-sectional study conducted during training on ECG rhythm identification, interpretation, its management in COVID-19 patients. Study participants included faculty, senior residents, junior residents, and interns of medical, surgical, and paraclinical disciplines. The training session included one hour of didactic lecture and one and half hours of interactive session during which case scenarios were discussed. An objective assessment was conducted through pre-test and post-test. Mean of pre and post-test scores were compared using paired t-test for evaluating statistical significance. Feedback was also taken from participants. RESULTS: Out of the 800 participants who gave consent, only 682 who completed both pre and post-test were included in the final analysis. Mean pre-test and post-test scores were 9.29/15 (61.9%) and 11.63/15 (77.5%), respectively, with a mean improvement of +2.34/15 (+15.6%). Of the participants, 38.6% obtained low scores in pre-test and 82% of respondents agreed that knowledge and skills gained from training would be useful in providing patient care. CONCLUSION: Low baseline knowledge on ECG highlights the need for re-training doctors posted in COVID-19 care on cardiac rhythm identification and interpretation. Interactive training is effective in improving ECG interpretative skills among doctors across disciplines and is the appropriate method to retrain/reskill, especially for large-scale capacity building.
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Observational_studies
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Prognostic_studies
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En
Revista:
Cureus
Año:
2022
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Article