Comprehensive Emergency Airway Response Team (EART) Training and Education: Impact on Team Effectiveness, Personnel Confidence, and Protocol Knowledge.

OBJECTIVE: To evaluate the efficacy and utility of simulation of the Emergency Airway Response Team (EART) at a tertiary care hospital to improve team dynamics and confidence and knowledge in managing an emergency airway. METHODS: This was a descriptive, quantitative performance improvement study. From September 1, 2013, to December 1, 2013, 177 members of the EART from anesthesia, otolaryngology, trauma surgery, emergency medicine, ICU nursing, and respiratory therapy participated in emergency airway simulations. Team dynamics and confidence levels and knowledge of EART were assessed using pre-and post-simulation questionnaires. RESULTS: All participants regardless of their role, experience in the medical field, or any prior exposure to a difficult airway showed significant improvement in self-rated team participation and confidence and objective knowledge regarding EART after undergoing simulation. CONCLUSION: Our study highlights the efficacy and utility of simulation in assessing personnel team dynamics and confidence levels and knowledge of emergency airway scenarios. Practitioners in all fields and level of experience benefit in EART training and simulation. We hope that with this information, we will be able to conduct future studies on reduction of patient morbidity and mortality.

Impact of pandemic (H1N1) 2009 influenza on critical care capacity in Victoria.

OBJECTIVE: To describe the demand for critical care hospital admissions in Victoria resulting from the rapid rise in the number of pandemic (H1N1) 2009 influenza cases, and to describe the role of modelling tools to assist with the response to the pandemic. DESIGN AND SETTING: Prospective modelling with the tools FluSurge 2.0 and FluAid 2.0 (developed by the United States Centers for Disease Control and Prevention) over 12 weeks from when the pandemic "Contain" Phase was declared on 22 May 2009, compared with data obtained from daily hospital reports of pandemic (H1N1) 2009 influenza-related admissions and transfers to intensive care units (ICUs). MAIN OUTCOME MEASURES: The effect on hospitals as projected by the FluAid 2.0 model compared with observed hospital admissions and ICU admissions. RESULTS: Prospective use of the FluAid 2.0 model provided valuable health intelligence for assessment and projection of hospitalisation and critical care demand through the first 10 weeks of the pandemic in Victoria. The observed rate of hospital admissions for pandemic (H1N1) 2009 was broadly consistent with a 5% gross clinical attack rate, with 0.3% of infected patients being hospitalised. Transfers to ICUs occurred at a rate of 20% of hospital admissions, and were associated with vulnerable patient groups, and severe respiratory failure in 82% of patients admitted to ICUs. Most patients treated in ICUs (85%) survived after an average ICU length of stay of 9 days (SD, 6.5 days). Mechanical ventilation was required by 72% of patients admitted to ICUs, and extracorporeal membrane oxygenation (ECMO) was used for 7%. Pre-existing haematological malignancy accounted for half of all the deaths in patients admitted to ICUs with pandemic (H1N1) 2009 influenza. CONCLUSIONS: Prospective use of modelling tools informed critical decisions in the planning and management of the pandemic. Early estimation of the clinical attack rate, hospitalisation rates, and demand for ICU beds guided implementation of surge capacity. ECMO emerged as an important treatment modality for pandemic (H1N1) 2009 influenza, and will be an important consideration for future pandemic planning.