A disease and non-battle injury model based on Persian Gulf War admission rates

Background Military planners must ensure adequate medical care for deployed troops—including care for disease and non‐battle injuries (DNBI). This study develops a heuristic model with the three distinct phases of a warfighting operation (build‐up, ground combat, post‐combat) to assist in predicting...

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Bibliographic Details
Published in:	American journal of industrial medicine Vol. 45; no. 6; pp. 549 - 557
Main Authors:	Wojcik, Barbara E., Hassell, L. Harrison, Humphrey, Rebecca J., Davis, James M., Oakley, Carolyn J., Stein, Catherine R.
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01-06-2004 Wiley-Liss
Subjects:	admission rates Adult Biological and medical sciences casualty projections disease and non-battle injury Female ground combat Health Planning Humans Indian Ocean Male Medical sciences Middle Aged Military Medicine Military Personnel - statistics & numerical data Miscellaneous Occupational medicine Patient Admission - statistics & numerical data Persian Gulf War Public health. Hygiene-occupational medicine war planning Warfare Wounds and Injuries - epidemiology Indian Ocean Human Army Disease disease and non-battle injury Injury admission rates Forecasting Incidence casualty projections Models Planning Persian Gulf War ground combat Military war planning
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Summary:	Background Military planners must ensure adequate medical care for deployed troops—including care for disease and non‐battle injuries (DNBI). This study develops a heuristic model with the three distinct phases of a warfighting operation (build‐up, ground combat, post‐combat) to assist in predicting DNBI incidence during warfighting deployments. Methods Inpatient healthcare records of soldiers deployed to the Persian Gulf War who were admitted with DNBI diagnoses were analyzed. DNBI admission rates for the three phases of the operation were examined and compared to rates for US Army Forces Command (FORSCOM) posts in the US. Results DNBI admission rates among the phases were distinctly different. The operation's overall rate and 95th percentile daily rate were less than the FORSCOM FY 1990 annual rate. Conclusions The level of combat must be considered. The traditional use of average or overall rates should be abandoned when forecasting DNBI rates. Medical support projections should use separate 95th percentile DNBI admission rates for each of the phases. Am. J. Ind. Med. 45:549–557, 2004. Published 2004 Wiley‐Liss, Inc.
Bibliography:	ArticleID:AJIM20016 This article is a US Government work and, as such, is in the public domain in the United States of America. The opinions expressed herein are those of the authors and do not necessarily reflect those of the Department of the Army or the Department of Defense. istex:B7258ED242D1F82377C11161046DA106CABA85A2 ark:/67375/WNG-1FFJVL8J-J ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	0271-3586 1097-0274
DOI:	10.1002/ajim.20016