VAST brings the benefits of simulation training to a wide range of contexts. The Course is designed to be portable, locally adaptable and affordable. It reinforces essential clinical practices and focuses on non-technical skills relevant for anaesthesia providers and perioperative teams. Through partnership and capacity building of a local facilitator network, VAST promotes the ability for enduring and sustainable delivery of simulation-based education.
VAST was first piloted in Rwanda, January 2018 with the support and partnership of Dalhousie University, the Canadian Anesthesiologists’ Society International Education Foundation (CASIEF), the University of Rwanda and the Rwanda Society of Anaesthesiologists (RSA). Colleagues at the Scottish Centre for Simulation and Clinical Human Factors (SCSCHF) and the World Federation of Societies of Anaesthesiologists (WFSA) were instrumental in steering VAST’s development.
Consultant anaesthetist at SJOG Midland, Perth, Western Australia, with an interest in global health, medical education and simulation training. Founder, managing director and principal author of VAST.
Associate Professor in the Department of Anesthesia at Dalhousie University. Interests include medical education, global health, simulation and chronic pain management. Co-author and VAST director.
Head of anaesthesia at Rwanda Military Hospital. Dr. Mukwesi has a long-term interest in simulation training and non-technical skills. Co-author and VAST director.
Faculty at Registered Nurses Professional Development Centre, Halifax. Committed to education and simulation training. Instrumental in VAST’s design and ongoing dissemination.
In addition to the listed partners, VAST collaborates and seeks endorsement from regional anaesthesia societies to optimise delivery for the local context.
VAST draws upon existing programs aimed at improving the quality of anaesthesia delivery in low-resource settings. In reinforcing consistent clinical frameworks and through building capacity of the local facilitator network, VAST complements these existing programs: