Pallot Michael, Alvi Sarah, Hanley Jade, Jafar Anisa
Department of Anesthesia, Hywel Dda Health Board, Glangwili Hospital, Carmarthen, United Kingdom.
Humanitarian and Conflict Response Institute (HCRI), University of Manchester, Manchester, United Kingdom.
Prehosp Disaster Med. 2025 Feb;40(1):21-32. doi: 10.1017/S1049023X25000111. Epub 2025 Mar 6.
Mass-casualty incidents (MCIs) are overwhelming events which generate a surge in casualties, exceeding local capacity and stressing emergency services. Significant mortality, morbidity, and economic impact is often caused. They attract responses from both local and international governmental and non-governmental medical responders. To improve professional standards and accountability, there has been much recent focus on record-keeping by teams in these contexts. This paper seeks to further understand what data are gathered and shared as a result of MCIs to outline current practice and help move towards improved minimum standards of documentation.
A structured database search and abstract screening process was conducted utilizing PRISMA guidelines for scoping reviews. Data were then collected from all papers identified. To ensure all relevant data were gathered, authors of each included study were contacted to clarify their approach to data collection for their work.
From 154 included manuscripts, 64 data categories were found and recorded, capturing MCIs over a period of 32 years located in 42 countries from all World Health Organization (WHO) global regions. Retrospective and contemporaneous data collection was equally prevalent. In-hospital or research team data collection was most common. The ten most common data categories collected were: number of injuries (94.8%), number of deaths (89.6%), injury type (81.2%), cause of injury (79.9%), age (63.0%), sex (63.0%), treatment (62.3%), severity of injury (61.7%), outcome of injury (59.1%), and investigations/treatments given (55.8%). Of the contactable authors, only 29 responded. Sixteen reported reviewing notes retrospectively or using follow-up patient interviews.
DISCUSSION & CONCLUSIONS: There was significant variety in what data were collected, who collected it, and how it was done. The most common data categories were descriptive pieces of information or related to demographics. Only one-half of papers discussed treatments given. Information on both prehospital care and longer-term rehabilitation was much less prevalent.Terrorism and shooting related MCIs were the largest by paper number. Predominantly made up of more recent MCIs in higher income countries, these findings potentially reflect more organized health care systems.Overall, data collection in MCIs is challenging and heavily reliant on retrospective analysis. Current practice lacks standardization. If professionalism and accountability for health care delivery in MCIs is to be improved, so must the methods of data collection and minimum standards of documentation.
大规模伤亡事件(MCI)是极具挑战性的事件,会导致伤亡人数激增,超出当地应对能力,给应急服务带来巨大压力。此类事件往往会造成重大的死亡率、发病率和经济影响,吸引当地及国际政府和非政府医疗救援力量的响应。为提高专业水平和问责制,近期人们高度关注这些情况下各团队的记录保存工作。本文旨在进一步了解因大规模伤亡事件而收集和共享的数据,以概述当前做法,并推动制定更高的最低记录标准。
利用PRISMA范围综述指南进行结构化数据库搜索和摘要筛选。然后从所有识别出的论文中收集数据。为确保收集到所有相关数据,与每项纳入研究的作者进行了联系,以澄清他们在研究中收集数据的方法。
从154篇纳入的手稿中,发现并记录了64个数据类别,涵盖了来自世界卫生组织(WHO)所有全球区域42个国家32年期间的大规模伤亡事件。回顾性和同期数据收集同样普遍。医院内或研究团队的数据收集最为常见。收集的十大最常见数据类别为:受伤人数(94.8%)、死亡人数(