当前位置: X-MOL 学术Scand. J. Trauma Resusc. Emerg. Med. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Developing a translational triage research tool: part two—evaluating the tool through a Delphi study among experts
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine ( IF 3.0 ) Pub Date : 2022-07-30 , DOI: 10.1186/s13049-022-01035-z
Amir Khorram-Manesh 1, 2, 3 , Frederick M Burkle 4 , Johan Nordling 2 , Krzysztof Goniewicz 5 , Roberto Faccincani 6 , Carl Magnusson 2 , Bina Merzaai 2 , Amila Ratnayake 7 , Eric Carlström 2, 3, 8
Affiliation  

There are different prehospital triage systems, but no consensus on what constitutes the optimal choice. This heterogeneity constitutes a threat in a mass casualty incident in which triage is used during multiagency collaboration to prioritize casualties according to the injuries’ severity. A previous study has confirmed the feasibility of using a Translational Triage Tool consisting of several steps which translate primary prehospital triage systems into one. This study aims to evaluate and verify the proposed algorithm using a panel of experts who in their careers have demonstrated proficiency in triage management through research, experience, education, and practice. Several statements were obtained from earlier reports and were presented to the expert panel in two rounds of a Delphi study. There was a consensus in all provided statements, and for the first time, the panel of experts also proposed the manageable number of critical victims per healthcare provider appropriate for proper triage management. The feasibility of the proposed algorithm was confirmed by experts with some minor modifications. The utility of the translational triage tool needs to be evaluated using authentic patient cards used in simulation exercises before being used in actual triage scenarios.

中文翻译:

开发转化分类研究工具:第二部分——通过专家间的德尔福研究评估工具

有不同的院前分流系统,但对于最佳选择的构成尚无共识。这种异质性构成了大规模伤亡事件中的威胁,在该事件中,在多机构协作期间使用分类来根据伤害的严重程度对伤亡进行优先排序。先前的一项研究证实了使用由几个步骤组成的转化分类工具的可行性,这些步骤将主要的院前分类系统转化为一个步骤。本研究旨在使用专家小组评估和验证所提出的算法,这些专家在其职业生涯中通过研究、经验、教育和实践证明了分流管理的熟练程度。从早期的报告中获得了一些陈述,并在两轮德尔福研究中提交给专家小组。在所有提供的陈述中达成共识,专家小组还首次提出了每个医疗保健提供者的可管理的严重受害者数量,以进行适当的分流管理。所提算法的可行性得到了专家的证实,并进行了一些小的修改。在用于实际分诊场景之前,需要使用在模拟练习中使用的真实患者卡来评估平移分诊工具的实用性。
更新日期:2022-07-30
down
wechat
bug