title: Disaster modeling: medication resources required for disaster team response.
abstract: BACKGROUND
  Responses to disasters involve many factors beyond personnel, such as medical and non-medical equipment and supplies. When disaster teams respond, they must do so with sufficient amounts of medicine and supplies to manage all of the patients expected for several days before re-supply. In order for this process to be efficient and expedient, accurate and advanced planning for supplies needed by disaster workers is necessary. These supplies must provide for general medical care and for hazard-specific problems.
  
  
  OBJECTIVE
  To develop a model that provides the framework for determining supply requirements for the National Disaster Medical System, Disaster Medical Assistance Teams, or other responding disaster teams in a civilian environment.
  
  
  METHODS
  A community hospital was modeled to determine patient characteristics when presenting to an emergency department (ED), including patient demographics and chief complaint, medications administered during the ED visit and prescribed at discharge, and laboratory tests ordered to assess disaster team supply requirements. Data were downloaded from a patient tracking software package and abstracted from various hospital data information systems. Data from the community hospital were compared with data published from two hurricane disasters by members of the National Disaster Medical System.
  
  
  RESULTS
  To the extent possible, the model predicted the proportion of patient complaints and, therefore, the medicine and supplies needed for the management of these patients.
  
  
  CONCLUSIONS
  This model offers a first step in preparing disaster medical teams for deployment.
authors.affiliation: Department of Emergency Medicine, Sinai-Grace Hospital/DMC, Wayne State University, 6071 W. Outer Drive, Detroit, MI 48235, USA. drmsr@aya.yale.edu
authors.forename: Marc S
authors.initials: MS
authors.lastname: Rosenthal
authors.forename: Kelly
authors.initials: K
authors.lastname: Klein
authors.forename: Kathleen
authors.initials: K
authors.lastname: Cowling
authors.forename: Mary
authors.initials: M
authors.lastname: Grzybowski
authors.forename: Robert
authors.initials: R
authors.lastname: Dunne
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D004189:Disaster Planning / Q000379:methods*; D004632:Emergency Medical Services / Q000458:organization & administration* / Q000706:statistics & numerical data; D004636:Emergency Service, Hospital / Q000458:organization & administration / Q000706:statistics & numerical data; D006764:Hospitals, Community / Q000458:organization & administration / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008824:Michigan; D008875:Middle Aged; D017146:Models, Organizational; D019982:Organizational Case Studies; D004364:Pharmaceutical Preparations / Q000600:supply & distribution*; D010607:Pharmacy Service, Hospital / Q000458:organization & administration / Q000706:statistics & numerical data
chemical_list: D004364:Pharmaceutical Preparations