Effectiveness of distance interactive learning in image recognition and learning intentions for ultrasound airway management
10.3760/cma.j.cn116021-20240329-01921
- VernacularTitle:远程交互教学在超声气道管理的图像识别和学习意图上的效果评价
- Author:
Yuan TIAN
1
;
Jiaxin LANG
;
Yuelun ZHANG
;
Chunhua YU
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院麻醉科，北京 100730
- Publication Type:Journal Article
- Keywords:
Ultrasound;
Airway management;
Distance learning;
Interactive learning;
Influencing factor
- From:
Chinese Journal of Medical Education Research
2024;23(12):1613-1617
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the changes in image recognition ability and learning intentions after distance interactive learning, and to assess the teaching effect objectively and subjectively.Methods:A total of 61 physicians working in Department of Anesthesiology, Peking Union Medical College Hospital, were enrolled as subjects and received training with the distance interactive learning method, and a questionnaire survey was conducted to assess the changes in objective image recognition ability and subjective learning intentions after teaching. The paired t-test and the Wilcoxon paired rank test were used to perform statistical analyses. Results:A total of 48 anesthesiologists completed the learning and assessments. After training, there was a significant increase in the accuracy rate of recognizing the anatomical structures of the airway on ultrasound images from (45.98±18.57)% to (88.38±7.92)% ( t=14.74, P<0.001), and there was a significant reduction in misdiagnosis rate from (60.68±29.83)% to (8.53±4.34)% ( t=-6.00, P<0.001). After teaching, the accuracy rate of identifying tracheal intubation on ultrasound images increased from (42.50±19.62)% to (66.25±23.40)% ( t=-4.08, P<0.001). After teaching, the accuracy rate of comprehensive ultrasound airway assessment increased from (45.61±17.00)% to (85.80±7.69)% ( t=14.48, P<0.001), and the misdiagnosis rate decreased from (59.41±29.05)% to (8.46±4.27)% ( t=-6.00, P<0.001). After teaching, although there were reductions in the learning intentions for clinical application scenarios, ultrasound section and body surface landmarks, and ultrasound image features, there were no significant changes in the learning intentions for operation techniques. Conclusions:Distance interactive training helps anesthesiologists to improve their ability for recognition of ultrasound airway images and can meet their specific learning intentions.
