[Virtual staff teamwork during the pandemic - development of digital training formats for community emergency response during the coronavirus pandemic]. / Virtuelle Stabsarbeit in Zeiten der Pandemie ­ Entwicklung digitaler Übungsformate in der zivilen Gefahrenabwehr während der Coronapandemie: Erfahrungen am Beispiel des Projekts ARMIHN.

Background: In the event of emergency response to large-scale incidents, such as a mass casualty incident (MCI) or a mass casualty incident-infectious disease (MCI-ID), regular training is essential in order to have experienced emergency personnel available in the event of an incident. Due to the pandemic drills often had to be cancelled or were only possible with small groups of people. It was often not possible to simulate a large-scale emergency with actors, so that the trainees could not be offered realistic scenarios of a mass casualty or disease incident. As part of two research projects, a digital platform for conducting training was used to avoid the risk of infection between participants during the exercises, so that on-site personnel deployment could be reduced to a minimum. The goal of this work was to evaluate end-user acceptance of the digital solution approaches. Methods: Within the framework of the project "Adaptive Resilience Management in Ports" (ARMIHN), a digital exercise platform was applied and evaluated with the help of participant surveys according to the focal points "implementation", "alternative possibilities", "learning effect" and "usability". The participants used the digital platform to exchange information and to communicate. For this purpose, various collaboration tools were embedded in the platform, which enabled simultaneous exchange of information in real time. Constant video communication with in-house and external authorities/teams was also established. Results: The potential of the digital platform as an alternative to on-site exercises was confirmed by the participating end users in the ARMIHN project with 90% agreement. The increase in subjective skills and knowledge gained during a MCI-ID was also predominantly rated approvingly (up to 70%). Participants who rated the implementation of the online format as well performed were significantly more likely to state that subjectively their ability to handle a MCI-ID had improved (p = 0.016). In contrast, virtual staff teamwork in real crisis situations was viewed critically by about half of respondents. Conclusion: Overall, the evaluation results point to the high end-user acceptance of the developed concept. Even though the aim is to evaluate the system over a longer period with a larger number of participants, the studies already conducted confirm the positive experiences in the respective projects.

An analysis of movement patterns in mass casualty incident simulations.

BACKGROUND: Mass casualty incidents (MCI) such as train or bus crashes, explosions, collapses of buildings, or terrorist attacks result in rescue teams facing many victims and in huge challenges for hospitals. Simulations are performed to optimize preparedness for MCI. To maximize the benefits of MCI simulations, it is important to collect large amounts of information. However, a clear concept and standardization of a data-driven post-exercise evaluation and debriefing are currently lacking. METHODS: GPS data loggers were used to track the trajectories of patients, medics, and paramedics in two simulated MCI scenarios using real human actors. The distribution of patients over the treatment area and their time of arrival at the hospital were estimated to provide information on the quality of triage and for debriefing purposes. RESULTS: The results show the order in which patients have been treated and the time for the individual arrivals as an indicator for the triage performance. The distribution of patients at the accident area suggested initial confusion and unclear orders for the placement of patients with different grades of injury that can be used for post-exercise debriefing. The dynamics of movement directions allowed to detect group behavior during different phases of the MCI. CONCLUSIONS: Results indicate that GPS data loggers can be used to collect precise information about the trajectories of patients and rescue teams at an MCI simulation without interfering with the realism of the simulation. The exact sequence of the deliverance of patients of different triage categories to their appropriate destinations can be used to evaluate team performance for post-exercise debriefing. Future MCI simulations are planned to validate the use of GPS loggers by providing "hot-debrief" immediately after the MCI simulation and to explore ways in which group detection can provide relevant information for post-exercise evaluations. TRIAL REGISTRATION: Not applicable.