e-Learning in Advanced Life Support-What factors influence assessment outcome?

Resuscitation. 2017 May;114:83-91. doi: 10.1016/j.resuscitation.2017.02.014. Epub 2017 Feb 24.

Abstract

Aim: To establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect.

Method: 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.

Results: 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.

Conclusion: 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.

Keywords: ALS; Advanced Life Support; Assessment; Education; e-Learning.

MeSH terms

  • Advanced Cardiac Life Support / education*
  • Clinical Competence
  • Computer-Assisted Instruction / methods*
  • Educational Measurement*
  • Humans
  • Outcome Assessment, Health Care
  • Program Evaluation
  • Surveys and Questionnaires