title: Road crash casualties: characteristics of police injury severity misclassification.
abstract: BACKGROUND
  In most countries, epidemiologic knowledge of road crash injury is mainly based on police data, as they very often are the only available data at the nation-wide level. However their validity is of some concern. We focus here on the police severity classification of 'serious' and 'slight' casualties in France. We want to know how the police classification compares with a trauma severity scale, so that we could correctly interpret police based studies.
  
  
  METHODS
  The study is based on the Rhône county (population 1.6 million) during the 1997 to 2001 period. Police data have been linked with a road trauma registry, so that both police and New Injury Severity Score (NISS) classifications are available on 14,342 casualties. The police classification of 'slight' and 'serious' casualties is compared with the registry classification grouped into NISS 1-15 and NISS 16-75 categories. We conduct multivariate analyses of the probability of police severity misclassification, over and under-classification, as a function of crash and casualty characteristics.
  
  
  RESULTS
  Kappa is estimated at 0.41; the sensitivity of the police classification is 72% and the positive predictive value is 35%. Pedestrian and motorcyclist casualties are the most likely to be over-classified (Relative Risk [RR] = 1.4 and RR = 1.2, respectively compared with car occupants). The 'rural police' are more likely to over-classify than the other police forces (RR = 3.1). Over-classification decreased during the 1997 to 2001 period whereas under- classification increased.
  
  
  CONCLUSIONS
  These misclassification characteristics must be kept in mind when interpreting severity results based on police data. We are working on obtaining unbiased nation-wide estimates of severity figures.
authors.affiliation: Transport, Occupational and Environmental Epidemiology Research and Surveillance Unit (UMRESTTE UMR-T 9405), joint unit of the French National Institute for Transport and Safety Research (INRETS), Bron, F-69500, France. amoros@inrets.fr
authors.forename: Emmanuelle
authors.initials: E
authors.lastname: Amoros
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Martin
authors.forename: Mireille
authors.initials: M
authors.lastname: Chiron
authors.forename: Bernard
authors.initials: B
authors.lastname: Laumon
mesh_terms: D000063:Accidents, Traffic / Q000145:classification*; D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D005260:Female; D005602:France; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D015601:Injury Severity Score; D008297:Male; D008875:Middle Aged; D016495:Police; D012042:Registries; D012044:Regression Analysis; D014947:Wounds and Injuries / Q000145:classification*