Checklist- and algorithm-based simulation training produce comparable improvements in teamwork-related shared mental models: a cluster-randomized study in trauma resuscitation teams

基于清单和算法的模拟训练在提升团队协作相关的共享心智模型方面效果相当:一项针对创伤复苏团队的整群随机研究

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Abstract

PURPOSE: Shared mental models (SMMs) reflect the extent to which team members hold a similar understanding of roles and team processes. In trauma resuscitation, higher SMM alignment is considered a prerequisite for coordinated interprofessional teamwork. This study compared the effects of checklist-based versus algorithm-based in situ simulation training on teamwork-related SMMs in trauma room teams. METHODS: In this multicenter, cluster-randomized pre–post study, 29 interprofessional trauma teams (186 participants) from six hospitals received either checklist-based training (n = 15 teams) incorporating the Trauma Room Manual checklists or algorithm-based training (n = 14 teams), both grounded in ATLS principles. Teams completed an SMM questionnaire adapted to the trauma setting, based on a previously published instrument, assessing similarity in (1) task responsibility and (2) team communication. Team-level similarity scores were calculated pre- and post-training. Training effects were analyzed using mixed repeated-measures ANOVA. RESULTS: Across both training formats, teamwork-related shared mental models increased significantly from pre- to post-training in total similarity, task responsibility, and communication. No significant between-group differences or time × group interactions were observed. The interaction for task responsibility approached significance (p =.06; η²p =.12). CONCLUSION: A single-day in situ simulation training improved teamwork-related shared mental models in interprofessional trauma teams. Checklist- and algorithm-based formats produced similar short-term gains. Future studies should evaluate long-term retention, implementation fidelity, and whether improved SMM alignment translates into measurable team performance and patient-safety outcomes.

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