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1.
Anesth Analg ; 135(1): 143-151, 2022 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-35147576

RESUMO

BACKGROUND: Although included within the American Society of Anesthesiologists difficult airway algorithm, the use of "invasive airway access" is rarely needed clinically. In conjunction with highly associated morbidity and liability risks, it is a challenge for the average anesthesiologist to develop and maintain competency. The advancement of high-fidelity simulators allows for practice of rarely encountered clinical scenarios, specifically those requiring invasive subglottic airway techniques. METHODS: Sixty board-certified academic anesthesiologists were enrolled and trained in dyads in a simulation-based, mastery-based learning (MBL) course directed at 2 emergency airway subglottic techniques: transtracheal jet ventilation (TTJV) and bougie cricothyrotomy (BC). Performance metrics included: pretest, posttest, specific skill step error tracking, and 15-month period retest. All were pretested and trained once on the Melker cricothyrotomy (MC) kit. All pretest assessment, training, posttesting, and 15-month retesting were performed by a single expert clinical and educational airway management faculty member. RESULTS: Initial testing showed a success rate of 14.8% for TTJV, 19.7% for BC, and 25% for MC. After mastery-based practice, all anesthesiologists achieved successful invasive airway placement with TTJV, BC, and MC. Repeated performance of each skill improved speed with zero safety breaches. BC was noted to be the fastest performed technique. Fifteen months later, retesting showed that 80.4% and 82.6% performed successful airway securement for TTJV and BC, respectively. For safety, average placement time and costs, MC was discarded after initial training results. CONCLUSIONS: We discovered that only ~20% of practicing anesthesiologists were able to successfully place an invasive airway in a simulated life or death clinical setting. Using mobile simulation (training performed in department conference room) during a 2.5-hour session using mastery-based training pedagogy, we increased our success rate of invasive airway placement to 100%, while also increasing the successful speed to ventilation (TTJV, 32 seconds average; BC, 29 seconds average). Finally, we determined that there was a 15-month 80% retention rate of the airway skills learned, indicating that skills last at least a year before retraining is required using this training methodology.


Assuntos
Anestesiologistas , Treinamento por Simulação , Competência Clínica , Simulação por Computador , Humanos , Intubação Intratraqueal/métodos
2.
J Med Educ Curric Dev ; 6: 2382120519834327, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30937387

RESUMO

OBJECTIVE: Bag mask ventilation (BMV) is fundamental to airway management. Simulation is effective in airway management training, but its effectiveness for difficult BMV training is less clear. We evaluated the difference between type of training (simulation vs on patients) and the pass rate on a post-test on patients. DESIGN: A single center pilot study was performed with 32 medical students randomized to participate in difficult BMV training on simulators or patients. Pre- and post-training tests on the simulator and on patients were recorded. Surveys of trainee confidence level were collected. The primary goal was to estimate the difference between type of training (simulation vs on patients) and the pass rate on the post-test on patients with an improvement of 10% or more in passing rate considered as a meaningful improvement. Secondary outcomes included whether or not participants passed the simulator post-test, post-test on patient confidence, and pre- and post-test confidence. MEASUREMENTS AND MAIN RESULTS: Participants trained on the simulator had 13% higher passing rate on the post-test on patients compared to participants trained on patients (88% vs 75%). In addition, subjects that passed the simulator post-test had 11 times the odds of passing a post-test on patients relative to subjects that did not pass the simulator post-test (P = 0.023, odds ratio = 11.0, 95% confidence interval [CI] = 1.48-81.6). Post-training confidence levels were higher among those who passed the simulator pre-test and post-test and received simulator training. CONCLUSIONS: Simulation training for difficult BMV led to a higher passing rate on a post-test on patients compared to those trained on patients. This finding will need to be confirmed in larger randomized controlled trials. Successfully completing difficult BMV training on a simulator with a passing grade correlated with passing a test on difficult BMV on patients.

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