Literature DB >> 19525052

Validation for a scoring system of the ALS cardiac arrest simulation test (CASTest).

Fiona Napier1, Robin P Davies, Catherine Baldock, Harry Stevens, Andrew S Lockey, Ian Bullock, Gavin D Perkins.   

Abstract

AIM: The cardiac arrest simulation test (CASTest) assesses resuscitation knowledge and skills during a simulated cardiac arrest. The aim of this study is to validate an alternative scoring system for measuring individual candidate performance during research involving the CASTest.
METHODS: The performance of 537 participants was measured using the new scoring system. Evidence of internal structure was sought by comparing the score with global rating of performance and pass/fail decision; identification of participants with instructor potential, skill tests and MCQ scores. Relationships between CASTest score, profession and seniority were also examined.
RESULTS: Global assessment of performance identified 413 passes (76.9%) and 124 fails (23.1%). CASTest score was significantly higher in those that passed than in those that failed (median 77 vs 62.5, P<0.0001). There were no differences between professions. Senior staff performed slightly better than junior staff (median 74 and 72 respectively, P=0.01). Excellent participants (identified as having instructor potential) scored significantly higher than the other participants (median 94 and 72 respectively, P<0.0001). A strong correlation was demonstrated between domains in the CASTest (rho 0.72-0.82, P<0.01). Other assessment outcomes for the ALS course correlated poorly with CASTest scores (rho 0.27-0.37, P<0.01).
CONCLUSION: This new simple scoring system can be used to better characterise performance on the ALS course CASTest than the current binary pass-fail outcome.

Entities:  

Mesh:

Year:  2009        PMID: 19525052     DOI: 10.1016/j.resuscitation.2009.04.043

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  8 in total

1.  Anaesthesiologists' simulation training during emergencies in obstetrics.

Authors:  Volodymyr V Artyomenko; Volodymyr M Nosenko
Journal:  Rom J Anaesth Intensive Care       Date:  2017-04

2.  Part 12: Education, implementation, and teams: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations.

Authors:  Jasmeet Soar; Mary E Mancini; Farhan Bhanji; John E Billi; Jennifer Dennett; Judith Finn; Matthew Huei-Ming Ma; Gavin D Perkins; David L Rodgers; Mary Fran Hazinski; Ian Jacobs; Peter T Morley
Journal:  Resuscitation       Date:  2010-10       Impact factor: 5.262

3.  Which factors predict candidate outcome in advanced life support courses? A preliminary observational study.

Authors:  Claudio Sandroni; Gian Luigi Gonnella; Chiara de Waure; Fabio Cavallaro; Giuseppe La Torre; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2010-06-18       Impact factor: 17.440

4.  The ABCs of DKA: Development and Validation of a Computer-Based Simulator and Scoring System.

Authors:  Catherine H Y Yu; Sharon Straus; Ryan Brydges
Journal:  J Gen Intern Med       Date:  2015-09       Impact factor: 5.128

5.  The effectiveness of a 'train the trainer' model of resuscitation education for rural peripheral hospital doctors in Sri Lanka.

Authors:  Bishan N Rajapakse; Teresa Neeman; Andrew H Dawson
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

6.  Assessing the assessment in emergency care training.

Authors:  Mary E W Dankbaar; Karen M Stegers-Jager; Frank Baarveld; Jeroen J G van Merrienboer; Geoff R Norman; Frans L Rutten; Jan L C M van Saase; Stephanie C E Schuit
Journal:  PLoS One       Date:  2014-12-18       Impact factor: 3.240

7.  Competency-based simulation assessment of resuscitation skills in emergency medicine postgraduate trainees - a Canadian multi-centred study.

Authors:  J Damon Dagnone; Andrew K Hall; Stefanie Sebok-Syer; Don Klinger; Karen Woolfrey; Colleen Davison; John Ross; Gordon McNeil; Sean Moore
Journal:  Can Med Educ J       Date:  2016-03-31

8.  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

  8 in total

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