JOURNAL ARTICLE
Enhancing Prehospital Care During the Conflict in Ukraine: NATO's Role in Global Health Engagement.
Published In: Military Medicine, 2025, v. 190, n. 3/4. P. 86 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Onderková, Anna; Quinn, John; Meoli, Michael; Taylor, Daniel; Nesterenko, Sergiy; Schramm, Jessica M; Gimpelson, A J; O'Kelly, Aebhric; Parks, Steven; Rizek, Jamla; Davis, Terri; Surkov, Denys; Cherniawski, Bohdan; Fernando, Rajeev 3 of 3
Abstract
This article focuses on the challenges and developments in prehospital medical care during the ongoing conflict in Ukraine, particularly following the 2022 Russian invasion. It examines gaps in infrastructure, training, logistics, and medical evacuation (MEDEVAC) that affect both warfighters and civilians, highlighting efforts by NATO, its member states, and various non-governmental organizations (NGOs) to standardize care, enhance training, and improve interoperability. The study emphasizes the role of NATO's Global Health Engagement (GHE) initiatives and partnerships with Ukrainian institutions, such as the Ukrainian Military Medical Academy, in advancing medical readiness and aligning practices with NATO standards despite ongoing operational and logistical challenges. The findings underscore the importance of international collaboration, standardized protocols, and continuous adaptation to improve prehospital care in conflict zones, offering lessons applicable to future military and humanitarian medical responses.
Additional Information
- Source:Military Medicine. 2025/03, Vol. 190, Issue 3/4, p86
- Document Type:Article
- Subject Area:Military History and Science
- Publication Date:2025
- ISSN:0026-4075
- DOI:10.1093/milmed/usae380
- Accession Number:183483477
- Copyright Statement:Copyright of Military Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.