Statistical Modeling of Combat Mortality Events by Using Subject Matter Expert Opinions and Operation Iraqi Freedom Empirical Results from the Navy-Marine Corps Combat Trauma Registry

Abstract

In 12 Navy?Marine Corps medical logistics studies and analyses conducted by the Naval Health Research Center (NHRC) and Teledyne Brown Engineering (TBE) over the past 5 years, estimates of battlefield mortality have been a major metric of interest to medical planners. An ongoing concern is how mortality is related to delays in treatment for medical logistics reasons. In this paper, we describe how NHRC and TBE have been developing a statistically based model for mortality since 2003, first starting with panel results from a group of military medical doctors and continuing here with an analysis of empirical injury data from Operation Iraqi Freedom (OIF). The panel results and statistical analysis of life-threatening injury data in OIF from early 2004 to mid-2006 indicate that the Weibull distribution describes the timing of high risk of mortality events in a reasonable manner within surgical medical treatment facilities. The quest for a best-fitting probability distribution with parameters dependent on the casualty flow chain of treatment and evacuation in the theater is ongoing. In reality, combining analytical and subject matter expert (SME) results to model mortality is necessary given the breadth of theater medical delivery systems and general paucity of adequate empirical data in many of the segments of patient flow.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA524191

Entities

People

  • Joseph Parker
  • Michael R. Galarneau
  • Paula J. Konoske
  • Ray Mitchell

Organizations

  • Naval Health Research Center

Tags

DTIC Thesaurus Topics

  • Casualties
  • Combat Injuries
  • Data Mining
  • Data Science
  • Delphi Method
  • Health Care
  • Health Services
  • Information Science
  • Iraqi-War
  • Marine Corps
  • Medical Personnel
  • Probability
  • Probability Distributions
  • Random Variables
  • Risk Analysis
  • Statistical Analysis
  • Therapy

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Regression Analysis.
  • Trauma or Military Medicine