• C J Thorne, A S Lockey, P K Kimani, I Bullock, S Hampshire, S Begum-Ali, G D Perkins, and Advanced Life Support Subcommittee of the Resuscitation Council (UK).
• Department 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. Electronic address: cj.thorne@doctors.org.uk.
• Resuscitation. 2017 May 1; 114: 83-91.

AimTo establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect.MethodBetween 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.ResultsThe 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.ConclusionClinical 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.Copyright © 2017 Elsevier B.V. All rights reserved.

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