British journal of anaesthesia
-
The identification, triage, and extrication of casualties followed by on-scene management and transport to an appropriate hospital after mass casualty incidents can be complicated, delivered to variable standards, and add significant delays to care. An effective pre-hospital pathway can both increase the chances of survival of individual patients and significantly influence the effectiveness of the entire emergency response.
-
Editorial Comment
Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.
Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilation strategies, and provide clinical decision support for patients who require mechanical ventilation. Gallifant and colleagues performed a systematic review to identify studies using AI to solve a diverse range of clinical problems in the ventilated patient. They identify 95 studies, the majority of which were reported in the last 5 yr. Their findings indicate that the majority of studies have significant methodological bias and are a long way from deployment.
-
Editorial Comment
Meta-analyses of clinical trials: are we getting lemonade from lemons?
Meta-analyses guide planning of clinical trials and clinical care, but are subject to all the methodologic problems and potential biases present in the underlying trials. Furthermore, publication bias often contributes to overestimated benefit in meta-analyses of small trials, which are often 'corrected' by subsequent large trials. Meta-analyses are no substitute for large robust trials.
-
Efficiency is an essential part of sustainable healthcare, especially in emergency and acute care (including surgical) settings. Waste minimisation, streamlined processes, and lean principles are all important for responsible stewardship of finite health resources. However, the promotion of efficiency above all else has effectively subordinated preparedness as a form of waste. ⋯ The ongoing COVID-19 pandemic has exposed the gap between efficient processes and resilient systems in many health settings. In anticipation of future pandemics, natural disasters, and mass casualty incidents, health systems, and individual healthcare workers, must prioritise preparedness to be ready for the unexpected or for crises. This requires a reframing of priorities to view preparedness as crucial insurance against system failure during disasters, by taking advantage of lessons learnt preparing for war and mass casualty incidents.
-
Exercising for mass casualty incidents is mandated by governing organisations with the aim of maintaining readiness within the healthcare sector for the many challenges these incidents bring. This readiness is delivered through a combination of discussion-based and operation-based exercises that are targeted to the needs of both the individuals delivering care and the needs of the overall system of patient flow and treatment. Although exercising for disaster preparedness is resource intensive, it is the repetitive, iterative nature that allows for wide staff capture and exposure along with continual improvement of plans. ⋯ A cycle of design, challenge, and redesign should target areas of greatest need and greatest benefit. The conventional advice, when introducing exercising, is to start small and build up over time with repeated exercises that demonstrate increasing response capability. However, some organisations would benefit from an exercise that lays bare shortcomings and acts to galvanise change.