ArticleBMJ simulation & technology enhanced learning2020
Impact of repeated simulation on learning curve characteristics of residents exposed to rare life threatening situations.
Article in BMJ simulation & technology enhanced learning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Value of virtual reality integrated with multilevel team-based pedagogy in standardized residency training: a randomized controlled study with longitudinal follow-up in anesthesiology.Frontiers in medicine · 2026Article
- Establishment of a simulation centre: Challenges and solutions.Indian journal of anaesthesia · 2024Article
- The effectiveness of simulation-based education combined with peer-assisted learning on clinical performance of first-year medical residents: a case-control study.BMC medical education · 2023Article
- Updates on Simulation in Obstetrical Anesthesiology Through the COVID-19 Pandemic.Anesthesiology clinics · 2021Review
- Effectiveness of simulation based teaching of ventilatory management among non-anaesthesiology residents to manage COVID 19 pandemic - A Quasi experimental cross sectional pilot study.Indian journal of anaesthesia · 2020Article
- COVID-19 pandemic preparation: using simulation for systems-based learning to prepare the largest healthcare workforce and system in Canada.Advances in simulation (London, England) · 2020Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Little is known about the learning curve characteristics of residents undertaking simulation-based education. It is important to understand the time for acquisition and decay of knowledge and skills needed to manage rare and difficult clinical situations. Method: Ten anaesthesiology residents underwent simulation-based education to manage a cannot intubate cannot ventilate scenario during general anaesthesia for caesarean section. Their performance was measured using an assessment tool and debriefed by two experienced anaesthesiologists. The parameters against which the performance was judged were grouped into preoperative assessment, preoperative patient care, equipment availability, induction sequence, communication and adherence to airway algorithm protocol. The scenario was repeated at 6 and 12 months thereafter. The residents' acquisition of knowledge, technical and non-technical skills were assessed and compared at baseline, 6 months and end of 12 months. Result: The skills of preoperative assessment, preoperative care and communication quickly improved but the specific skill of managing a difficult airway as measured by adherence to an airway algorithm required more than 6 months (CI at 6 vs 12 months: -3.4 to -0.81, p=0.016). The skills of preoperative assessment and preoperative care improved to a higher level quickly and were retained at this improved level. Communication (CI at 0 vs 6 months: -3.78 to -0.22, p=0.045 and at 6 vs 12 months : -3.39 to -1.49, p=0.007) and difficult airway management skill were slower to improve but continued to do so over the 12 months. The compliance to machine check was more gradual and showed an improvement at 12 months. Conclusion: Our study is unique in analysing the learning curve characteristics of different components of a failed obstetric airway management skill. Repeated simulations over a longer period of time help in better reinforcement, retention of knowledge, recapitulation and implementation of technical and non-technical skills.
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