Institutional members access full text with Ovid®

Share this article on:

Road Crash Casualties: Characteristics of Police Injury Severity Misclassification

Amoros, Emmanuelle MSc; Martin, Jean-Louis MSc; Chiron, Mireille MD; Laumon, Bernard PhD, MD

Journal of Trauma and Acute Care Surgery: February 2007 - Volume 62 - Issue 2 - p 482-490
doi: 10.1097/01.ta.0000202546.49273.f9
Original Articles

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.

Method: 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.

Conclusion: 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.

From the 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; the University of Lyon 1 (UCBL), Lyon, F-69008, France; the French National Institute for Public Health Surveillance (InVS), Lyon, F-69008, France.

Submitted for publication June 8, 2005.

Accepted for publication December 15, 2005.

Address for reprints: Emmanuelle Amoros, INRETS/UCBL/InVS UMRESTTE 25 Avenue François Mitterrand Case 24 69675 Bron Cedex, France; email:

© 2007 Lippincott Williams & Wilkins, Inc.