An application example of translational science in disaster medicine
From grant to deliverables
Bibliographic Data
| ID | 22028802 |
|---|---|
| Authors | Marta Caviglia (0000-0002-4164-4756, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”, corresponding author), Joseph Cuthbertson (0000-0003-3210-8115, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Joseph L Cuthbertson, Evangelos Sdongos (0000-0002-7428-3301), Roberto Faccincani (0000-0002-4498-3833, European Society of Radiology), Luca Ragazzoni (0000-0002-2528-4375, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Eric S Weinstein (0000-0002-1147-5656, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”) |
| Year | 2023 |
| Volume | 85 |
| Pages | 103518 |
| Publication date | 2023-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2022.103518 |
| OpenAlex | W4313443034 |
| Language | EN |
| References cited | 8 |
The Sendai Framework for Disaster Risk Reduction 2015–2030 recognizes the importance of increasing resilience to disasters, a target that the Horizon 2020 funded project Novel Integrated Toolkit for Enhanced Pre-Hospital Life Support and Triage in Challenging and Large Emergencies (NIGHTINGALE) is aiming to achieve by supporting the preparedness of first responders during sudden onset disasters (SODs) and related mass casualty incidents (MCIs) through an innovative toolkit featuring different technological solutions. This manuscript aims to describe the translational science (TS) methodology adopted to guide the development of the NIGHTINGALE toolkit. The multi-stage process featured three different scoping reviews, three Modified Delphi studies and subsequent translation of consensus statements into evidence-based tools and guidelines on triage, prehospital life support and damage control interventions, and prehospital processes during SODs and MCIs. This manuscript shows the potential of the TS methodology to translate grant requirements into deliverables based on scientific evidence and a sound research approach
Deliverable · Delphi method · Mass-casualty incident · Medical emergency · Poison control · Political science · Preparedness · Systems engineering · Triage · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Engineering · Human Factors and Ergonomics · Medicine · Viral Infections and Outbreaks Research
| Highly cited | No |
|---|