• Scand J Trauma Resus · Jan 2014

    A consensus based template for reporting of pre-hospital major incident medical management.

    • Sabina Fattah, Marius Rehn, David Lockey, Julian Thompson, Hans Morten Lossius, Torben Wisborg, and Major Incidence Reporting Collaborators.
    • Department of Research and Development, Norwegian Air Ambulance Foundation, Drøbak, Norway. sabina.fattah@norskluftambulanse.no.
    • Scand J Trauma Resus. 2014 Jan 30; 22: 55.

    BackgroundStructured reporting of major incidents has been advocated to improve the care provided at future incidents. A systematic review identified ten existing templates for reporting major incident medical management, but these templates are not in widespread use. We aimed to address this challenge by designing an open access template for uniform reporting of data from pre-hospital major incident medical management that will be tested for feasibility.MethodsAn expert group of thirteen European major incident practitioners, planners or academics participated in a four stage modified nominal group technique consensus process to design a novel reporting template. Initially, each expert proposed 30 variables. Secondly, these proposals were combined and each expert prioritized 45 variables from the total of 270. Thirdly, the expert group met in Norway to develop the template. Lastly, revisions to the final template were agreed via e-mail.ResultsThe consensus process resulted in a template consisting of 48 variables divided into six categories; pre-incident data, Emergency Medical Service (EMS) background, incident characteristics, EMS response, patient characteristics and key lessons.ConclusionsThe expert group reached consensus on a set of key variables to report the medical management of pre-hospital major incidents and developed a novel reporting template. The template will be freely available for downloading and reporting on http://www.majorincidentreporting.org. This is the first global open access database for pre-hospital major incident reporting. The use of a uniform dataset will allow comparative analysis and has potential to identify areas of improvement for future responses.

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