Date on Master's Thesis/Doctoral Dissertation
Bioinformatics and Biostatistics
Fiberoptic intubation skills; Maximum likelihood method; Simulator training; Paired T-test; Z-test; Two-sample T-test
Trachea--Intubation; Optical fibers in medicine; Clinical medicine--Study and teaching--Simulation methods; Medicine--Study and teaching--Simulation methods
Fiberoptic intubation skills (FOI) are critical in reducing the anesthesia related morbidity and mortality in clinical settings. The purpose of the study was to prove that the simulator can train a novice to achieve the expert level in a relatively short time. The performance of the pre- and post-training of novice group and expert group was computer or video recorded. Three statistical methods were applied for data analysis. The number of airway collisions and the number of passes for oral and nasal were analyzed by a newly proposed maximum likelihood method. The development of this model is based on the assumption that the data follows a Poisson distribution. The total time to complete the procedure, the time to pass the oral and nasal, the time to train and re-train the novice group were analyzed by t-test and paired t-test. The questionnaire score and Pass/Fail score of both groups were analyzed by z-test. The results showed that the novice could reach the expert level after training.
Duan, Xinyuan, "Evaluate experiences necessary to achieve proficiency in advanced fiberoptic intubation skills : can we accelerate the learning curve with simulator training?" (2010). Electronic Theses and Dissertations. Paper 375.