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e-Learning in Advanced Life Support-What factors influence assessment outcome?
- Source :
-
Resuscitation . May2017, p83-91. 9p. - Publication Year :
- 2017
-
Abstract
- <bold>Aim: </bold>To establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect.<bold>Method: </bold>Between 1 January 2013 and 30 June 2014, 8218 individuals participated in a Resuscitation Council (UK) e-learning Advanced Life Support (e-ALS) course. Participants completed 5-8h of online e-learning prior to attending a one day face-to-face course. e-Learning access data were collected through the Learning Management System (LMS). All participants were assessed by a multiple choice questionnaire (MCQ) before and after the face-to-face aspect alongside a practical cardiac arrest simulation (CAS-Test). Participant demographics and assessment outcomes were analysed.<bold>Results: </bold>The mean post e-learning MCQ score was 83.7 (SD 7.3) and the mean post-course MCQ score was 87.7 (SD 7.9). The first attempt CAS-Test pass rate was 84.6% and overall pass rate 96.6%. Participants with previous ALS experience, ILS experience, or who were a core member of the resuscitation team performed better in the post-course MCQ, CAS-Test and overall assessment. Median time spent on the e-learning was 5.2h (IQR 3.7-7.1). There was a large range in the degree of access to e-learning content. Increased time spent accessing e-learning had no effect on the overall result (OR 0.98, P=0.367) on simulated learning outcome.<bold>Conclusion: </bold>Clinical experience through membership of cardiac arrest teams and previous ILS or ALS training were independent predictors of performance on the ALS course whilst time spent accessing e-learning materials did not affect course outcomes. This supports the blended approach to e-ALS which allows participants to tailor their e-learning experience to their specific needs. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CARDIAC arrest
*LIFE support systems in critical care
*RESUSCITATION
*LEARNING Management System
*HEALTH outcome assessment
*CLINICAL competence
*COMPUTER assisted instruction
*EDUCATIONAL tests & measurements
*QUESTIONNAIRES
*EVALUATION of human services programs
*ADVANCED cardiac life support
Subjects
Details
- Language :
- English
- ISSN :
- 03009572
- Database :
- Academic Search Index
- Journal :
- Resuscitation
- Publication Type :
- Academic Journal
- Accession number :
- 122528116
- Full Text :
- https://doi.org/10.1016/j.resuscitation.2017.02.014