title: [Hospital information system performance for road traffic accidents analysis in a hospital recruitment based area].
abstract: BACKGROUND
  Road traffic accidents in France are mainly analyzed through reports completed by the security forces (police and gendarmerie). But the hospital information systems can also identify road traffic accidents via specific documentary codes of the International Classification of Diseases (ICD-10). The aim of this study was therefore to determine whether hospital stays consecutive to road traffic accident were truly identified by these documentary codes in a facility that collects data routinely and to study the consistency of results from hospital information systems and from security forces during the 2002-2008 period.
  
  
  METHODS
  We retrieved all patients for whom a documentary code for road traffic accident was entered in 2002-2008. We manually checked the concordance of documentary code for road traffic accident and trauma origin in 350 patient files. The number of accidents in the Grenoble area was then inferred by combining with hospitalization regional data and compared to the number of persons injured by traffic accidents declared by the security force.
  
  
  RESULTS
  These hospital information systems successfully report road traffic accidents with 96% sensitivity (95%CI: [92%, 100%]) and 97% specificity (95%CI: [95%, 99%]). The decrease in road traffic accidents observed was significantly less than that observed was significantly lower than that observed in the data from the security force (45% for security force data against 27% for hospital data).
  
  
  CONCLUSIONS
  Overall, this study shows that hospital information systems are a powerful tool for studying road traffic accidents morbidity in hospital and are complementary to security force data.
authors: Département d'information médicale, pôle de santé publique, pavillon Taillefer, CHU de Grenoble, BP217, 38043 Grenoble cedex, France. jerome.fauconnier@imag.fr
authors: A-S
authors: AS
authors: Jannot
authors: J
authors: J
authors: Fauconnier
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D017598:Efficiency, Organizational; D005602:France / Q000453:epidemiology; D006751:Hospital Information Systems / Q000458:organization & administration / Q000592:standards / Q000706:statistics & numerical data; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D038801:International Classification of Diseases / Q000706:statistics & numerical data; D007902:Length of Stay / Q000706:statistics & numerical data; D018579:Patient Selection; D016495:Police / Q000706:statistics & numerical data; D012042:Registries / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity