A Staged Defragmented Simultaneous Debriefing Model As Integrated Micro-debriefing Components Inside Online...

Background Currently, there are no separate debriefing models for online simulation training, and existing models simply imitate the traditional models used in on-site simulation training (the physical presence of individuals, such as students or trainees, in a simulation center). This involves hands-on, in-person training within a simulated environment to enhance practical skills and knowledge in a controlled setting. This scenario does not fully meet the requirements and capabilities of distance learning. Objective To develop a staged defragmented debriefing model as integrated micro-debriefing components inside an online simulation to support the development of clinical decision-making and competencies formation within medical education and offer recommendations to support the use of this debriefing model as a teaching strategy. Methods This descriptive study was conducted from August 2020 to September 2023. To build a staged defragmented debriefing model as integrated micro-debriefing components inside an online simulation for competencies formation the traditional debriefing model's components for on-site simulation training, simulation type, and structure, modern concepts of e-learning, and classification of the seriousness of medication errors were used. The main focus of this study was on providing a detailed account of the debriefing components for online simulation training, features, and implementation of this new teaching model. A total of 38 participants, healthcare professionals, were recruited for this study. The participants were randomly assigned to two groups: one experiencing the staged defragmented debriefing model (n = 20) and the other control group, which received traditional debriefing following simulation training (n = 18). Results The results allowed us to successfully develop a staged defragmented debriefing model inside the simulation that integrates micro-debriefing components located at different points of the simulation scenarios. This teaching approach was successfully implemented in online clinical case scenarios in the "ClinCaseQuest" Simulation Training Platform for continuous medical education. Additionally, an internal validation experiment comparing the effectiveness of the staged defragmented debriefing model with the traditional debriefing method demonstrated superior learning outcomes and participant satisfaction in the staged debriefing group. Conclusions The staged defragmented debriefing model, when integrated into online simulations, represents a promising strategy for advancing clinical decision-making skills and competencies formation in medical education. Implementation of this debriefing model as a teaching strategy holds promise for enhancing learning outcomes in medical education settings. Further research, validation, and implementation are recommended to maximize the model's potential impact on medical education and training.