Wang Mingya, Zhang Hua, Fang Yinglun, et al. Application of the flipped classroom combined with learning curves in training on Shikani laryngoscope-guided endotracheal intubation[J]. Chinese journal of medical education research, 2025, 24(9): 1253-1258.
Wang Mingya, Zhang Hua, Fang Yinglun, et al. Application of the flipped classroom combined with learning curves in training on Shikani laryngoscope-guided endotracheal intubation[J]. Chinese journal of medical education research, 2025, 24(9): 1253-1258. DOI: 10.3760/cma.j.cn116021-20250219-02058.
Application of the flipped classroom combined with learning curves in training on Shikani laryngoscope-guided endotracheal intubation
To explore the learning patterns of resident physicians in anesthesiology when performing tracheal intubation guided by Shikani laryngoscope
and provide a reference for the skill training of clinical anesthesiologists.
Methods
2
From August 2023 to December 2024
a total of 19 resident physicians specializing in anesthesiology participated in this study at Peking University Third Hospital. All resident physicians received standardized training on clinical skills. None of them had received specialized training in Shikani laryngoscope-guided tracheal intubation. The relevant theoretical teaching and practical guidance were provided by the same senior attending physician throughout the study. A flipped-classroom teaching model was adopted
and each student was instructed by the teaching physician to perform the procedure on 15 cases in chronological order
resulting in a total of 285 cases. The cumulative sum (CUSUM) value for each tracheal intubation was calculated
and the learning curve was plotted using R software. A fourth-order polynomial nonlinear regression model was used to fit the curve and estimate the 95% confidence interval of the learning curve. The first-order derivative function of the regression model was further analyzed to reveal the dynamic changes in proficiency with the number of training sessions. The CUSUM curve was segmented using the maximum statistics test to identify the optimal breakpoint.
Results
2
The maximum selection test revealed that the breakpoint for the increase in CUSUM level was at the eighth attempt.
Conclusions
2
Resident physicians in anesthesiology can master Shikani laryngoscope-guided tracheal intubation after eight standardized training sessions. Moreover
the participants showed high satisfaction with the flipped-classroom teaching model.
Yao YT , Jia NG , Li CH , et al . Comparison of endotracheal intubation with the Shikani Optical Stylet using the left molar approach and direct laryngoscopy [J ] . Chin Med J (Engl) , 2008 , 121 ( 14 ): 1324 - 1327 .
Mahrous RSS , Ahmed AMM . The shikani optical stylet as an alternative to awake fiberoptic intubation in patients at risk of secondary cervical spine injury: a randomized controlled trial [J ] . J Neurosurg Anesthesiol , 2018 , 30 ( 4 ): 354 - 358 . DOI: 10.1097/ANA.0000000000000454 http://dx.doi.org/10.1097/ANA.0000000000000454 .
Poulain P , Bertrand M , Dufour H , et al . A field guide for implementing a flipped classroom [J ] . Biochem Mol Biol Educ , 2023 , 51 ( 4 ): 410 - 417 . DOI: 10.1002/bmb.21737 http://dx.doi.org/10.1002/bmb.21737 .
Tang B , Li T , Gao G , et al . Learning curve of robotic-assisted total mesorectal excision for rectal cancer [J ] . Front Oncol , 2022 , 12 : 931426 . DOI: 10.3389/fonc.2022.931426 http://dx.doi.org/10.3389/fonc.2022.931426 .
Apfelbaum JL , Hagberg CA , Connis RT , et al . 2022 American society of anesthesiologists practice guidelines for management of the difficult airway [J ] . Anesthesiology , 2022 , 136 ( 1 ): 31 - 81 . DOI: 10.1097/ALN.0000000000004002 http://dx.doi.org/10.1097/ALN.0000000000004002 .
Igai H , Numajiri K , Ohsawa F , et al . Comparison of the learning curve between uniportal and robotic thoracoscopic approaches in pulmonary segmentectomy during the implementation period using cumulative sum analysis [J ] . Cancers (Basel) , 2023 , 16 ( 1 ): 184 . DOI: 10.3390/cancers16010184 http://dx.doi.org/10.3390/cancers16010184 .