Präklinische und klinische Versorgungskonzepte in der Katastrophenmedizin

Kippnich, Maximilian; Meybohm, Patrick; Wurmb, Thomas

doi:10.1055/a-1085-6671

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…Another problem in the management of disasters seen in connection with MDSs for casualty information and how to collect that information is that not all the information about a casualty should be shared with all the agencies involved in an MCI. However, some part of that information may be important for command-and-control decision-making [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

Minimum data set harmonization in the management of cross-border Multi Casualty Incidents. Modified Delphi (VALKYRIES—H2020 project)

Behzadi Koochani,

Muñoz Romo,

Hernández Palencia

et al. 2024

PLoS ONE

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Introduction There is a need to develop harmonized procedures and a Minimum Data Set (MDS) for cross-border Multi Casualty Incidents (MCI) in medical emergency scenarios to ensure appropriate management of such incidents, regardless of place, language and internal processes of the institutions involved. That information should be capable of real-time communication to the command-and-control chain. It is crucial that the models adopted are interoperable between countries so that the rights of patients to cross-border healthcare are fully respected. Objective To optimize management of cross-border Multi Casualty Incidents through a Minimum Data Set collected and communicated in real time to the chain of command and control for each incident. To determine the degree of agreement among experts. Method We used the modified Delphi method supplemented with the Utstein technique to reach consensus among experts. In the first phase, the minimum requirements of the project, the profile of the experts who were to participate, the basic requirements of each variable chosen and the way of collecting the data were defined by providing bibliography on the subject. In the second phase, the preliminary variables were grouped into 6 clusters, the objectives, the characteristics of the variables and the logistics of the work were approved. Several meetings were held to reach a consensus to choose the MDS variables using a Modified Delphi technique. Each expert had to score each variable from 1 to 10. Non-voting variables were eliminated, and the round of voting ended. In the third phase, the Utstein Style was applied to discuss each group of variables and choose the ones with the highest consensus. After several rounds of discussion, it was agreed to eliminate the variables with a score of less than 5 points. In phase four, the researchers submitted the variables to the external experts for final assessment and validation before their use in the simulations. Data were analysed with SPSS Statistics (IBM, version 2) software. Results Six data entities with 31 sub-entities were defined, generating 127 items representing the final MDS regarded as essential for incident management. The level of consensus for the choice of items was very high and was highest for the category ‘Incident’ with an overall kappa of 0.7401 (95% CI 0.1265–0.5812, p 0.000), a good level of consensus in the Landis and Koch model. The items with the greatest degree of consensus at ten were those relating to location, type of incident, date, time and identification of the incident. All items met the criteria set, such as digital collection and real-time transmission to the chain of command and control. Conclusions This study documents the development of a MDS through consensus with a high degree of agreement among a group of experts of different nationalities working in different fields. All items in the MDS were digitally collected and forwarded in real time to the chain of command and control. This tool has demonstrated its validity in four large cross-border simulations involving more than eight countries and their emergency services.

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Section: Discussionmentioning

confidence: 99%

Minimum data set harmonization in the management of cross-border Multi Casualty Incidents. Modified Delphi (VALKYRIES—H2020 project)

Behzadi Koochani,

Muñoz Romo,

Hernández Palencia

et al. 2024

PLoS ONE

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“…Die Autoren stellten fest, dass die Implementierung des Algorithmus zu einer signifikanten Verbesserung der Sichtungsergebnisse in den Berliner Kliniken geführt hat [27]. Dies erscheint umso wichtiger, dawie schon dargestelltbei LebEL aus Sicherheits-und einsatztaktischen Gründen die meisten Patienten ungesichtet die Klinik erreichen [31]. Der sog.…”

Section: Etablierung Eines Klinischen Sichtungsalgorithmusunclassified

Klinische Versorgung bei (Terror-)Anschlägen/lebensbedrohlichen Einsatzlagen

Königsdorfer,

Kaisers,

Pfenninger

2023

OP-Management up2date

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“…Die Autoren stellten fest, dass die Implementierung des Algorithmus zu einer signifikanten Verbesserung der Sichtungsergebnisse in den Berliner Kliniken geführt hat [27]. Dies erscheint umso wichtiger, dawie schon dargestelltbei LebEL aus Sicherheitsund einsatztaktischen Gründen die meisten Patienten ungesichtet die Klinik erreichen [31]. Der sog.…”

Section: Etablierung Eines Klinischen Sichtungsalgorithmusunclassified