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The online version of this article (doi:10.1186/1757-7241-22-5) contains supplementary material, which is available to authorized users.
An erratum to this article is available at http://dx.doi.org/10.1186/s13049-014-0042-6.
The authors declare no competing interests.
SF, MR, DL, JT, HML and TW all participated in designing the study, analysis of data and organization of the process. All authors and collaborators approved the final version of the manuscript.
Structured 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.
An 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.
The 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.
The 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.