title: [Retrospective calculation of the workload in emergency departments in case of a mass accident. An analysis of the Love Parade 2010].
abstract: BACKGROUND
  For the clinical planning of mass events the emergency departments are of critical importance, but there are still no data available for the workload in these cases. As this is essential for an effective medical preparation, we calculated the workload based on the ICD codes of the vicitims at the Loveparade 2010 in Duisburg.
  
  
  METHODS
  Based on the patient data of the Loveparade 2010 we used a filter diagnosis to estimate the number of shock room patients, regular admittances, surgical wound treatments, applications of casts or splints, and diagnosis of drug abuse. In addition every patient was classified to a Manchester Triage System category. This resulted in a chronological and quantitative work-load profile of the emergency department, which was evaluated by the clinical experiences of the departmental medical staff.
  
  
  RESULTS
  The workload profile as a whole displayed a realistic image of the real true situation on July 24, 2010. While only the number, diagnosis and chronology of medical surgical patients was realistic, the MTS classification was not. The emergency department had a maximum of 6 emergency room admittances, 6 regular admittances, 4-5 surgical wound treatments, 3 casts and 2 drug abuse patients per hour.
  
  
  CONCLUSIONS
  The calculation of workload from the ICD data is a reasonable tool for retrospective estimation of the workload of an emergency department, the data can be used for future planning. The retrospective MTS grouping is at present not suitable for a realistic calculation. Retrospective measures in the MTS groups are at present not sufficiently suitable for valid data publication.
authors.affiliation: Klinik für Orthopädie und Unfallchirurgie, Klinikum Duisburg. dr.med.ackermann@gmx.de
authors.forename: O
authors.initials: O
authors.lastname: Ackermann
authors.forename: U
authors.initials: U
authors.lastname: Heigel
authors.forename: D
authors.initials: D
authors.lastname: Lazic
authors.forename: T
authors.initials: T
authors.lastname: Vogel
authors.forename: M D
authors.initials: MD
authors.lastname: Schofer
authors.forename: C
authors.initials: C
authors.lastname: Rülander
mesh_terms: D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D005858:Germany / Q000453:epidemiology; D006801:Humans; D038801:International Classification of Diseases / Q000706:statistics & numerical data; D054527:Mass Casualty Incidents / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D014600:Utilization Review; D016526:Workload / Q000706:statistics & numerical data*; D014947:Wounds and Injuries / Q000175:diagnosis / Q000453:epidemiology* / Q000628:therapy*