Comparison of the effects of two simulation scenarios in advanced cardiac life support training for pre-clinical anesthesia

doi:10.3760/cma.j.cn115259-20240717-00751

Abstract

Abstract: Objective To compare the effectiveness of computer-based simulation and full-scale mannequin-based scenario simulation in advanced cardiac life support (ACLS) training for newly enrolled anesthesia trainees at Tianjin Medical University General Hospital. Methods From October 2020 to December 2021, a prospective randomized controlled design was used to randomly divide 62 newly admitted residents and interns into computer software simulation group (group C), full-scale simulator scenario simulation group (group M) and computer simulation group (SM group). The baseline test was performed before training (T0), and the immediate test was conducted after training (T1). The technical and non-technical competency scores of the participants before and after training were compared, and a questionnaire survey was used to evaluate their satisfaction with the training model at T1. Descriptive statistics, t-tests, analysis of variance, and χ² tests were used for data analysis. Results In terms of technical competency, the technical competency scores of Groups C, M and SM at T1 were significantly higher than those at T0 [(21.05±3.39) vs. (14.24±4.31), (21.33±2.93) vs. (15.14±3.66), and (20.33±3.62) vs. (15.06±3.63), respectively; all P<0.05], with no significant differences among groups at the same time point (P>0.05). For non-technical competency, the scores of the three groups at T1 were (10.67±2.33), (12.38±2.16) and (12.20±2.14) respectively, with the scores of Group M and Group SM higher than that of Group C (P<0.05). In the survey, the satisfaction of Groups M and SM with the statement ″this training mode can stimulate my interest″ was significantly higher than that of Group C (P<0.05). Conclusions Computer simulation and full-scale simulator scenario simulation can effectively improve the ACLS technical and non-technical abilities of the trainees, while scenario simulation has more advantages in non-technical ability improvement. Therefore, computer simulation can be used as an effective complementary tool for scenario simulation in ACLS training.

Key words: Anesthesia, Computer simulation, Scenario simulation, Residency training, Cardiopulmonary resuscitation

CLC Number:

R-04

Wang Qian, Yin Ling, Yu Yang, Yu Yonghao, Xie Keliang, Li Qing. Comparison of the effects of two simulation scenarios in advanced cardiac life support training for pre-clinical anesthesia[J]. Chinese Journal of Medical Education, 2026, 46(5): 337-342.

References

[1] Heidenreich PA, Bozkurt B, Aguilar D, et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines[J].Circulation, 2022,145(18):e895-e1032. DOI:10.1161/CIR.0000000000001063.
[2] Dalton HJ, Berg RA, Nadkarni VM, et al. Cardiopulmonary resuscitation and rescue therapies[J].Crit Care Med, 2021,49(9):1375-1388. DOI:10.1097/CCM.0000000000005106.
[3] 梅琦敏, 张挺, 柴晶晶, 等.原位情境模拟在临床医学八年制学生ACLS培训中的应用[J].协和医学杂志2023, 14(3):660-664. DOI:10.12290/xhyxzz.2022-0676.
[4] Jeong HW, Moon SH. Enhancing ACLS training effects through video-assisted boosting methods: a comparative analysis of self-simulation and model simulation videos[J].Nurse Educ Pract, 2024,78:104010. DOI:10.1016/j.nepr.2024.104010.
[5] 曹钰, 何亚荣, 郝迪, 等.2019年美国心脏协会心肺复苏和心血管急救指南更新解读——成人高级生命支持和院前急救[J].华西医学, 2019, 34(11):1217-1226. DOI:10.7507/100280179.201911159.
[6] Matthew D McEvoy ,Jeremy C Smalley,Paul J Nietert ,et al.Validation of a detailed scoring checklist for use during advanced cardiac life support certification[J].Simul Healthc, 2012, 7(4):222-235. DOI:10.1097/SIH.0b013e3182590b07.
[7] Moll-Khosrawi P, Kamphausen A, Hampe W, et al. Anaesthesiology students′ non-technical skills: development and evaluation of a behavioural marker system for students (AS-NTS)[J].BMC Med Educ, 2019,19(1):205. DOI:10.1186/s12909-019-1609-8.
[8] Stirparo G, Gambolò L, Bellini L, et al. Satisfaction evaluation for ACLS training[J].Acta Biomed, 2022,93(3):e2022260. DOI:10.23750/abm.v93i3.13337.
[9] Kitapcioglu D, Aksoy ME, Ozkan AE, et al. Comparing learning outcomes of machine-guided virtual reality-based training with educator-guided training in a metaverse environment: randomized controlled trial[J].JMIR Serious Games, 2024,12:e58654. DOI:10.2196/58654.
[10] Gino B, Siraj S, Peixoto M, et al. Comparing learning outcomes in cardiopulmonary resuscitation (CPR) and/or automated external defibrillator (AED) training for laypeople in face-to-face, online, and mixed training methods: an integrative literature review[J].Cureus, 2023,15(5):e38489. DOI:10.7759/cureus.38489.
[11] 刘才荣, 季学丽, 张丽, 等. 基于团队定位分工模式的情景模拟培训在心肺复苏中的应用[J].中国急救复苏与灾害医学杂志,2021,16(1):86-88,100. DOI:10.3969/j.issn.1673-6966.2021.01.023.
[12] 任小强, 许彬, 庄智伟, 等. 高级模拟人支持下的CBL教学模式在高级生命支持培训中的应用效果[J].现代医药卫生,2021,37(13):2310-2312. DOI:10.3969/j.issn.1009-5519.2021.13.044.
[13] 赵媛媛. PBL教学联合SimMan模拟人应用于麻醉科住院医师规培中对规培质量的影响探究[J].中国卫生产业,2022,19(21):160-163. DOI:10.16659/j.cnki.1672-5654.2022.21.160.
[14] Coelho DL, Amaral RC, Silva IC, et al. Realistic simulation and medical students′ performance in the advanced cardiac life support course: a comparative study[J].Adv Physiol Educ, 2024,48(1):61-68. DOI:10.1152/advan.00113.2023.
[15] Stirparo G, Gambolò L, Bellini L, et al. The impact of ACLS training in theoretical knowledge[J].Acta Biomed, 2023,94(6):e2023226. DOI:10.23750/abm.v94i6.14905.
[16] Donoghue A, Navarro K, Diederich E, et al. Deliberate practice and mastery learning in resuscitation education: a scoping review[J].Resusc Plus, 2021,6:100137. DOI:10.1016/j.resplu.2021.100137.