Simulation in healthcare : journal of the Society for Simulation in Healthcare
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Healthcare teams and their performance in a complex environment such as that of intensive care units (ICUs) are influenced by several factors. This study investigates the relationship between team background characteristics and team as well as task performance. ⋯ This study reveals that a higher age is important for better team performance when caring for a severely ill patient in a simulation setting in the ICU. In addition, prior team training had a positive impact on task performance. Therefore, on a team level, this study indicates that age and, to some extent, prior team training without video-facilitated reflection have an impact on team performance in the care of critically ill patients.
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Simulation-based mastery learning (SBML) improves skill transfer to humans. However, limited data exist to support the practice of performing additional training attempts once mastery has been achieved. We explored whether implementing this concept in an SBML model improves skill transfer in ultrasound-guided peripheral intravenous (USGPIV) catheter placement from simulator to humans. ⋯ In this sample of novices, we were unable to show that up to 8 additional mastery level performances of USGPIV placement on a simulator following SBML training improve skill transfer for both USGPIV placement success and total checklist performance.
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Difficult intravenous (IV) access (DIVA) is frequently encountered in the hospital setting. Ultrasound-guided peripheral IV catheter (USGPIV) insertion has emerged as an effective procedure to establish access in patients with DIVA. Despite the increased use of USGPIV, little is known about the optimal training paradigms for bedside nurses. Therefore, we developed and evaluated a novel, sustainable, USGPIV simulation-based mastery learning (SBML) curriculum for nurses. ⋯ This novel USGPIV SBML curriculum improves nurses' insertion skills, self-confidence, and progresses patient care through USGPIV insertions on hospitalized patients with DIVA.
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The dramatic outbreak of COVID-19 placed unprecedented strain on the critical care workforce of New York City. The enhanced precautions required to safely care for COVID-19 patients impacted the performance of even routine critical care procedures. ⋯ Using mannequin-based simulation scenarios followed by comprehensive debriefing sessions, simulation participants received high-intensity, high-fidelity training in respiratory failure, circulatory failure, bedside ultrasound, bedside ICU procedures, and elements of COVID-19-specific care. More than 200 physicians and advanced practice practitioners completed simulation training in preparation for deployment, supplementing and enhancing the ICU workforce at a decisive time during the outbreak.
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Shortage of personal protective equipment (PPE) for frontline healthcare workers managing the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is a major, global challenge. In this pilot study, we describe a simulation-based method for evaluating the suitability and acceptability of an alternative biological isolation garment (BIG, a gown or a suit) for clinical use by emergency department (ED) personnel. Using a high-fidelity simulator, participants provided airway management according to the SARS-CoV-2 protocol. ⋯ We assessed ultraviolet light visualization of the fluorescent marker after doffing and satisfaction with donning, use during simulation, and doffing. We found that after doffing, markers were not visualized on any of the participants and that the median satisfaction scores of the alternative and standard BIG (sBIG) were 4 [interquartile range (IQR) = 1-5] and 4 (IQR = 2-4), respectively. The results suggest the suitability and acceptability of the alternative BIG (aBIG) for use by ED personnel.