The SHADER model: forward surgical teams managing high-intensity, low-frequency military surgery incidents

This remote, forward R2 deployment was characterised by low volume of surgical workload, but a requirement for high readiness and competency in major trauma surgery. This represents a challenge for training and currency that must be addressed for optimal surgical care in ongoing and future operations.

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Publication Details

Journal
BMJ Military Health
Published
2025-03-25
DOI
https://doi.org/10.1136/military-2025-002954
Citations
1
Primary Topic
Trauma, Hemostasis, Coagulopathy, Resuscitation
Type
article
Field-Weighted Citation Impact
1.55
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article

The SHADER model: forward surgical teams managing high-intensity, low-frequency military surgery incidents

Casey Tunstall, Rajendra Chauhan, David N Naumann, Timothy G. Short et al.
1 citations
BMJ Military Health
Trauma, Hemostasis, Coagulopathy, Resuscitation
1.55
article

The SHADER model: forward surgical teams managing high-intensity, low-frequency military surgery incidents

Casey Tunstall, Rajendra Chauhan, David N Naumann, Timothy G. Short, B M Lomas, Tim Stansfield, Douglas M. Bowley, Alison Rennie, John Burns
article en
1 citations

Abstract

This remote, forward R2 deployment was characterised by low volume of surgical workload, but a requirement for high readiness and competency in major trauma surgery. This represents a challenge for training and currency that must be addressed for optimal surgical care in ongoing and future operations.

BMJ Military Health
University Hospitals Birmingham NHS Foundation Trust (GB), Leeds Teaching Hospitals NHS Trust (GB), Royal Navy (GB), Birmingham Research Park (GB), University of Birmingham (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Trauma, Hemostasis, Coagulopathy, Resuscitation
1.55
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The SHADER model: forward surgical teams managing high-intensity, low-frequency military surgery incidents — Casey Tunstall, Rajendra Chauhan, et al. · BMJ Military Health (2025) | TGRS Research Map | TGRS