Pôle Anesthésie-Réanimation, Centre Hospitalier Universitaire Grenoble - Alpes, La Tronche, France; Université Claude Bernard Lyon 1, Centre Lyonnais d'Enseignement par la Simulation en Santé (CLESS), Lyon, France.
Université Claude Bernard Lyon 1, Centre Lyonnais d'Enseignement par la Simulation en Santé (CLESS), Lyon, France; EA 7426, PI3 (Pathophysiology of Injury-Induced Immunosuppression), Claude Bernard University Lyon 1-Biomérieux-Hospices Civils de Lyon, Lyon, France; Service d'Anesthésie-Réanimation, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France.
Injury. 2023 Sep;54(9):110851. doi: 10.1016/j.injury.2023.110851. Epub 2023 Jun 5.
The CAST Grid has been developed to evaluate the use of closed-loop communication (CLC) in the trauma bay.
The CAST Grid and two validated non-technical team performance assessment tools (the TEAM and T-NOTECHS grids) were completed by 2 independent reviewers based on trauma care simulation videos from a French Level 1 trauma center. Intra- and inter-rater agreements were evaluated for CLC parameters and non-technical performance, and correlations between these parameters were analyzed.
The study analyzed 11 videos. The intra- and inter-rater agreement for the number of CLC per minute (CLC/min) was moderate and good, respectively, based on Lin's concordance correlation coefficient [95%CI] (0.57 [-0.40;0.94] and 0.77 [0.33;0.94]). However, the agreement was poor for the percentage of CLC (0.37 [-0.58;0.89] and -0.36 [-0.71;0.14], respectively). The study found that a lower number of CLC/min was correlated with an increased duration of the simulation (r = -0.75 [-0.93; -0.25]).
The CAST Grid showed a relatively good inter-rater agreement to quantify the number of CLC/min which was inversely correlated with the duration of care. This tool opens up the possibility of quantifying CLC and allows for new analyses of team functioning and interactions.
CAST 网格已被开发用于评估创伤区闭环通信(CLC)的使用情况。
两名独立评审员根据法国一级创伤中心的创伤护理模拟视频,完成了 CAST 网格和两个经过验证的非技术团队绩效评估工具(TEAM 和 T-NOTECHS 网格)。评估了 CLC 参数和非技术性能的内部和外部评分者之间的一致性,并分析了这些参数之间的相关性。
研究共分析了 11 个视频。基于林氏一致性相关系数 [95%CI](0.57 [-0.40;0.94] 和 0.77 [0.33;0.94]),每分钟 CLC 数量(CLC/min)的内部和外部评分者之间的一致性为中度和良好。然而,CLC 的百分比(0.37 [-0.58;0.89] 和 -0.36 [-0.71;0.14])的一致性较差。研究发现,CLC/min 的数量较低与模拟时间的延长相关(r = -0.75 [-0.93; -0.25])。
CAST 网格在量化 CLC/min 的数量方面表现出相对较好的评分者间一致性,该数量与护理时间呈负相关。该工具为量化 CLC 开辟了可能性,并允许对团队功能和交互进行新的分析。