Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
Simul Healthc. 2013 Feb;8(1):20-4. doi: 10.1097/SIH.0b013e318263341f.
The past decade has witnessed the increased use of patient simulation in medical training as a method to teach complex bedside skills. Although effective bag-mask ventilation (BMV) is a critical part of airway management, the quality of training in this skill has been questioned.
First-year internal medicine house staff (novices) were used to evaluate a computerized patient simulator as a tool to teach difficult BMV. A novice group and an expert group (certified registered nurse anesthetists and anesthesiologists) were tested to validate the simulator's ability to distinguish between these 2 skill levels.
The difference between the novice and expert groups in the ability to perform difficult BMV was statistically significant (P < 0.0001). Brief training for novices led to a 100% pass rate and competence as measured by the simulator. Simulation training was effective in increasing the ability to ventilate a simulated difficult-to-ventilate patient (P < 0.0001).
This study suggests that this computerized patient simulator was validated as a simulation model for teaching difficult BMV and differentiating skill levels in BMV. Using the simulator with brief training on difficult BMV allowed new internal medicine house staff to successfully ventilate a simulated difficult patient.
过去十年见证了患者模拟在医学培训中的广泛应用,作为教授复杂床旁技能的一种方法。尽管有效的袋面罩通气(BMV)是气道管理的关键部分,但该技能的培训质量一直受到质疑。
使用第一年内科住院医师(新手)来评估计算机化患者模拟器作为教授困难 BMV 的工具。对新手组和专家组(注册护士麻醉师和麻醉师)进行测试,以验证模拟器区分这 2 个技能水平的能力。
新手组和专家组在进行困难 BMV 能力方面的差异具有统计学意义(P<0.0001)。新手的简短培训导致 100%的通过率和通过模拟器测量的能力。模拟培训在增加对模拟困难通气患者进行通气的能力方面是有效的(P<0.0001)。
本研究表明,该计算机化患者模拟器已被验证为教授困难 BMV 和区分 BMV 技能水平的模拟模型。使用模拟器进行困难 BMV 的简短培训使新的内科住院医师能够成功地对模拟困难患者进行通气。