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e-Learning in Advanced Life Support-What factors influence assessment outcome?
C J Thorne1, A S Lockey2, P K Kimani3
1Department of Critical Care Medicine, Heart of England NHS Foundation Trust, Birmingham B9 5SS, UK; Resuscitation Council (UK), Tavistock House North, Tavistock Square, London WC1H 9HR, UK.
Previous Advanced Life Support (ALS) training and experience on resuscitation teams predict better outcomes in the ALS course. Time spent on e-learning did not impact overall results, supporting a blended learning approach.
Area of Science:
- Medical Education
- Resuscitation Science
Background:
- The Advanced Life Support (ALS) course is crucial for healthcare professionals.
- Optimizing learning and assessment outcomes in ALS courses is essential for effective resuscitation.
- A blended learning approach, incorporating e-learning and face-to-face instruction, is increasingly utilized.
Purpose of the Study:
- To identify factors associated with successful outcomes in the Advanced Life Support (ALS) course.
- To evaluate the effectiveness of e-learning components in the ALS course.
- To maximize the learning effect and assessment results for participants.
Main Methods:
- Analysis of data from 8218 participants in a Resuscitation Council (UK) e-learning ALS (e-ALS) course (2013-2014).
- Participants completed online e-learning followed by a one-day face-to-face course.
- Assessment included pre- and post-course multiple-choice questionnaires (MCQ) and a cardiac arrest simulation test (CAS-Test).
Main Results:
- Mean post-course MCQ score was 87.7%.
- First attempt pass rate for the CAS-Test was 84.6%, with an overall pass rate of 96.6%.
- Previous ALS/ILS experience and core resuscitation team membership predicted better performance; increased e-learning time did not significantly affect outcomes.
Conclusions:
- Clinical experience and prior resuscitation training are key predictors of ALS course success.
- The time spent on e-learning modules did not correlate with improved assessment outcomes.
- The blended e-ALS approach allows for personalized learning, accommodating individual needs and prior experience.
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