Publications by authors named "S Begum-Ali"
Aim: To determine the impact of the COVID-19 pandemic on Resuscitation Council UK Advanced Life Support (ALS) and Immediate Life Support (ILS) course numbers and outcomes.
Methods: We conducted a before-after study using course data from the Resuscitation Council UK Learning Management System between January 2018 and December 2021, using 23 March 2020 as the cut-off between pre- and post-pandemic periods. Demographics and outcomes were analysed using chi-squared tests and regression models.
Article Synopsis
- The study aimed to explore factors influencing participant satisfaction and outcomes in Advanced Life Support (ALS) courses, analyzing data from 17,690 enrolled participants during 2017-2018.
- Key findings revealed that participant characteristics, such as age, experience, and profession, significantly affected learning outcomes, with a high average MCQ score of 86.7% and a 94.4% overall course pass rate.
- The research concludes that understanding demographic traits of participants can lead to better support and improvements in ALS courses, ensuring a consistent quality of experience across various training centers.
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.
Aim: To descriptively analyse the outcomes following the national roll out of an e-Learning advanced life support course (e-ALS) compared to a conventional 2-day ALS course (c-ALS).
Method: Between 1st January 2013 and 30th June 2014, 27,170 candidates attended one of the 1350 Resuscitation Council (UK) ALS courses across the UK. 18,952 candidates were enrolled on a c-ALS course and 8218 on an e-ALS course.