Literature DB >> 3943331

Use of the Mega Code to evaluate team leader performance during advanced cardiac life support.

W Kaye, M E Mancini.   

Abstract

The Mega Code is a simulated cardiac arrest during which students practice as members of a team and learn to integrate the knowledge and skills of advanced cardiac life support (ACLS). This study used the Mega Code and American Heart Association (AHA) standards to evaluate 32 medical residents (MDs) and nine critical care nurses (RNs) in the role of ACLS team leader. All had been previously trained in ACLS. The testing sequence included ventricular fibrillation (VF) refractory to initial countershock (defib), asystole after second defib, recurrent VF after drug therapy, and finally sinus rhythm after third defib. A blood gas report indicated respiratory acidosis and hypoxemia. Assessment of patient status was poor in both groups, although MDs did significantly (p = .001) better than RNs. Other problem areas were drug therapy and trouble-shooting are not adequately stressed in the AHA ACLS curriculum; moreover, there is no lecture that specifically addresses the team approach to resuscitation and the role of team leader. We found that the Mega Code effectively evaluated individual and group performance. Results of objective-based Mega Code testing can be used both to improve ACLS curriculum and to indicate areas to be stressed during refresher training.

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Year:  1986        PMID: 3943331     DOI: 10.1097/00003246-198602000-00005

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  3 in total

1.  To lead or not to lead? Prospective controlled study of emergency nurses' provision of advanced life support team leadership.

Authors:  P Gilligan; C Bhatarcharjee; G Knight; M Smith; D Hegarty; A Shenton; F Todd; P Bradley
Journal:  Emerg Med J       Date:  2005-09       Impact factor: 2.740

2.  Training in neonatal resuscitation: the views of junior paediatricians.

Authors:  J R Barrie; D L Greenhalgh
Journal:  J R Coll Physicians Lond       Date:  1993-04

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

Authors:  Michael William Smith; David Abarca Rondero
Journal:  PeerJ       Date:  2019-03-15       Impact factor: 2.984

  3 in total

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