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Abstract Background The Promoting Excellence and Reflective Learning in Simulation (PEARLS) Healthcare Debriefing Tool is a cognitive aid designed to deploy debriefing in a structured way. The tool has the potential to increase the facilitator’s ability to acquire debriefing skills, by breaking down the complexity of debriefing and thereby improving the quality of a novice facilitator’s debrief. In this pilot study, we aimed to evaluate the impact of the tool on facilitators’ cognitive load, workload, and debriefing quality. Methods Fourteen fellows from the New York City Health + Hospitals Simulation Fellowship, novice to the PEARLS Healthcare Debriefing Tool, were randomized to two groups of 7. The intervention group was equipped with the cognitive aid while the control group did not use the tool. Both groups had undergone an 8-h debriefing course. The two groups performed debriefings of 3 videoed simulated events and rated the cognitive load and workload of their experience using the Paas-Merriënboer scale and the raw National Aeronautics and Space Administration task load index (NASA-TLX), respectively. The debriefing performances were then rated using the Debriefing Assessment for Simulation in Healthcare (DASH) for debriefing quality. Measures of cognitive load were measured as Paas-Merriënboer scale and compared using Wilcoxon rank-sum tests. Measures of workload and debriefing quality were analyzed using mixed-effect linear regression models. Results Those who used the tool had significantly lower median scores in cognitive load in 2 out of the 3 debriefings (median score with tool vs no tool: scenario A 6 vs 6, p=0.1331; scenario B: 5 vs 6, p=0.043; and scenario C: 5 vs 7, p=0.031). No difference was detected in the tool effectiveness in decreasing composite score of workload demands (mean difference in average NASA-TLX −4.5, 95%CI −16.5 to 7.0, p=0.456) or improving composite scores of debriefing qualities (mean difference in DASH 2.4, 95%CI −3.4 to 8.1, p=0.436). Conclusions The PEARLS Healthcare Debriefing Tool may serve as an educational adjunct for debriefing skill acquisition. The use of a debriefing cognitive aid may decrease the cognitive load of debriefing but did not suggest an impact on the workload or quality of debriefing in novice debriefers. Further research is recommended to study the efficacy of the cognitive aid beyond this pilot; however, the design of this research may serve as a model for future exploration of the quality of debriefing.

Abstract Although in 2020, there are more than 120 healthcare simulation fellowships established globally, there is a paucity of literature on how to design fellowship programs most effectively, to equip graduates with the knowledge, skills, and attitudes of a competent simulation educator. Offering a systematic structure to approach simulation fellowship programmatic design may aid in better achieving program goals. In this manuscript, we present the application of the 4-component instructional design model as a blueprint to the development of Simulation Education Fellowships. We offer examples used at the NYC Health + Hospitals simulation fellowship to illustrate how the 4-component model informs fellowship program design which promotes the development of a simulation educator. This manuscript will provide a roadmap to designing curricula and assessment practices including self-reflective logbooks to focus the path toward achieving desired skills and shape future conversations around programmatic development.

Abstract Background The goal of this study was to identify taken-for-granted beliefs and assumptions about use, costs, and facilitation of post-event debriefing. These myths prevent the ubiquitous uptake of post-event debriefing in clinical units, and therefore the identification of process, teamwork, and latent safety threats that lead to medical error. By naming these false barriers and assumptions, the authors believe that clinical event debriefing can be implemented more broadly. Methods We interviewed an international sample of 37 clinicians, educators, scholars, researchers, and healthcare administrators from hospitals, universities, and healthcare organizations in Western Europe and the USA, who had a broad range of debriefing experience. We adopted a systemic-constructivist approach that aimed at exploring in-depth assumptions about debriefing beyond obvious constraints such as time and logistics and focused on interpersonal relationships within organizations. Using circular questions, we intended to uncover new and tacit knowledge about barriers and facilitators of regular clinical debriefings. All interviews were transcribed and analyzed following a comprehensive process of inductive open coding. Results In total, 1508.62 min of interviews (25 h, 9 min, and 2 s) were analyzed, and 1591 answers were categorized. Many implicit debriefing theories reflected current scientific evidence, particularly with respect to debriefing value and topics, the complexity and difficulty of facilitation, the importance of structuring the debriefing and engaging in reflective practice to advance debriefing skills. We also identified four debriefing myths which may prevent post-event debriefing from being implemented in clinical units. Conclusion The debriefing myths include (1) debriefing only when disaster strikes, (2) debriefing is a luxury, (3) senior clinicians should determine debriefing content, and (4) debriefers must be neutral and nonjudgmental. These myths offer valuable insights into why current debriefing practices are ad hoc and not embedded into daily unit practices. They may help ignite a renewed momentum into the implementation of post-event debriefing in clinical settings.

Abstract Safety science in healthcare has historically focused primarily on reducing risk and minimizing harm by learning everything possible from when things go wrong (Safety-I). Safety-II encourages the study of all events, including the routine and mundane, not only bad outcomes. While debriefing and learning from positive events is not uncommon or new to simulation, many common debriefing strategies are more focused on Safety-I. The lack of inclusion of Safety-II misses out on the powerful analysis of everyday work. A debriefing tool highlighting Safety-II concepts was developed through expert consensus and piloting and is offered as a guide to encourage and facilitate inclusion of Safety-II analysis into debriefings. It allows for debriefing expansion from the focus on error analysis and “what went wrong” or “could have gone better” to now also capture valuable discussion of high yield Safety-II concepts such as capacities, adjustments, variation, and adaptation for successful operations in a complex system. Additionally, debriefing inclusive of Safety-II fosters increased debriefing overall by encouraging debriefing when “things go right”, not historically what is most commonly debriefed.