PubMed Health⌕ Search

PubMed · 15015799

A lesson not yet learned.

Abstract

OBJECTIVES: Accounts of numerous military campaigns throughout history have shown that casualties from medical illness usually greatly outnumber combat injuries. We aimed to see whether this remained the case in a modern campaign where predominantly surgical facilities were deployed. METHODS: We examined 1511 hospital records of inpatients in the Oman theatre during the last three months of Exercise Saif Sareea II and the initial period of Operation Veritas. RESULTS: Of the 1399 records included, 1033 (74%) required care from a physician, whereas 366 (26%) were treated by surgeons. However, of patients returning to duty in theatre (total 985), 884 (90%) had been treated by physicians and 101 had been treated by surgeons. Notably, only 23 (2%) of these had undergone a surgical procedure. CONCLUSIONS: Experience in Oman suggests that the lessons of history in respect of casualties in times of conflict are both unlearned and being repeated. The role of the medical specialities in military secondary care should be recognised and deployed facilities should not be defined by surgical capability alone.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G W Becker, T J Laundy. 2003. A lesson not yet learned.. https://doi.org/10.1136/jramc-149-04-06

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Application of the promotion time cure model with time-changing exposure to the study of HIV/AIDS and other infectious diseases.

Infectious diseases are caused by single or successive contacts with pathogens. Nevertheless, contacts with pathogens do not implicate infection. In 1993, Yakovlev et al. proposed a model to study a population of cancer patients with a cured fraction, a well adapted model to describe an infectious disease with a unique infection occasion. Extensions of this model have been proposed in the recent years. We present a mechanistic formulation in the context of infectious diseases with multiple infection occasions. It is a mixture model that enables to study risk factors associated with infection intensity at each infection occasion and factors shortening the delay from exposure to clinical event. Simulations are performed to evaluate the model fitting and two examples are presented for illustration: an analysis of an HIV-1 mother-to-child transmission data set and an analysis of nosocomial urinary tract infections data set.

Communicable Diseases↗

On observing and analyzing disease versus signals.

The immune system has co-evolved with microbes that cause acute infectious disease. Immune responses must be appropriate to allow survival of both the individual and the species. These responses involve complex interactions that often go unmeasured.

Communicable Diseases↗