The Effectiveness of Simulation-based Ultrasound-guided Regional Anesthesia Training Programs for Anesthesia Residents: a Prospective Randomized Controlled Trial
Abstract BackgroundOptimizing educational programs for obtaining and maintaining competency in ultrasound-guided regional anesthesia (UGRA) is needed for anesthesia residents. This study aimed to assess the effectiveness of simulation-based training programs on the UGRA skills of senior anesthesia residents.MethodsThis prospective assessor-blind randomized controlled trial was conducted in a tertiary hospital in November 2019. Twenty anesthesia residents who had been in a clinical rotation in anesthesiology for 3-5 years were randomly allocated to either the workshop group (WG) or the control group (CG) for pretechnical procedure training on UGRA. Following didactic lectures for both groups, simulation-based workshops were performed only for the WG. All participating trainees were assessed by written examination, ultrasound scanning and anatomy recognition in live human models and ultrasound-guided target injections in porcine meat models. The written examination score, sonographic proficiency scores, time taken to perform the injections and errors were recorded and analyzed.ResultsThe simulation-based training program significantly reduced the time taken for target injections performed by trainees in the WG (183.9±44.8 seconds) compared with those in the CG (239.6±64.2 seconds): mean difference -55.8 (-107.7, -3.7), P=0.037. The error score was also significantly lower in the WG than in the CG. The sonographic proficiency scores of the thoracic paravertebral structures, brachial plexus and femoral nerve scanning were significantly higher for trainees in the WG than for those in the CG, as were the total scores for the four stations on live human models.ConclusionsFor senior anesthesia residents, the simulation-based training program can improve UGRA skills and might enhance clinical competence.Trial RegistrationChinese clinical trial registry, ChiCTR-IPR-1900027585, Principal investigator: Hong Zhang, Date of registration: November 19, 2019 URL: http://www.chictr.org.cn/