title: Crew accidents reported during 3 years on a cruise ship.
abstract: OBJECTIVE
  To register and analyze data from all crew injuries reported to the medical center of a cruise ship with a median crew of 630 during a three-year period and to determine high risk areas, equipment and behavior.
  
  
  METHODS
  All crew injuries reported to the medical center aboard were registered on a standardized form at first visit. An injury was classified at follow-up as 'lost time accident' (LTA) if it caused the victim to be off work for more than one day and/or to be signed off for medical attention (medical sign-off).
  
  
  RESULTS
  During 3 years, 361 injuries (23% women) were reported aboard. Thirty percent were LTA. The marine department accounted for 14% (deck 5%; engine 9%), the hotel'department for 79% and contractors for 7% of the reports. Filipinos comprised half the crew, reported 35% of the accidents, and their rate of serious injuries were lower than non-Filipino crew (p<0.01). Hotel crew had a higher rate of LTA occurring during work than marine crew (p<0.05). The dancers' rate of serious injuries was higher than other hotel crew (p<0.05) and marine crew (p<0.01). The upper extremity was the most frequently injured body part (51%), open wounds the most common injury type (37%), and galleys the most common accident location (30%). Less than one in ten reported injuries caused medical sign-off.
  
  
  CONCLUSIONS
  Well-equipped, competent medical staff aboard can after crew injury effectively reduce time off work, as well as number of referrals to medical specialists ashore, helicopter evacuations and ship diversions, and medical sign-off.
authors.affiliation: Institute of Internal Medicine, University of Bergen, Norway. eilifdahl@hotmail.com
authors.forename: Eilif
authors.initials: E
authors.lastname: Dahl
authors.forename: Arne
authors.initials: A
authors.lastname: Ulven
authors.forename: Alf Magne
authors.initials: AM
authors.lastname: Horneland
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000328:Adult; D001444:Bahamas; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D016272:Occupational Health; D012767:Ships / Q000706:statistics & numerical data*; D018582:Sick Leave / Q000706:statistics & numerical data*; D014195:Travel; D014947:Wounds and Injuries / Q000453:epidemiology*