title: Linking emergency medical department and road traffic police casualty data: a tool in assessing the burden of injuries in less resourced countries.
abstract: OBJECTIVE
  The study aimed to (1) assess the magnitude of road traffic injuries in a country missing a formal linkage system of police with hospital data, (2) quantify the underreporting, and (3) produce a convenient algorithm exploring its constituent components.
  
  
  METHODS
  Linkage of disaggregate (individual) data collected by the road traffic police (RTP) with those by the Emergency Department Injury Surveillance System (EDISS) on the Greek island of Corfu and coded with different classification systems was carried out. The applied four-step methodology, also comprising the calculation of underreporting coefficients of the variation by basic demographic variables, mode of transport, and injury outcome, led to the identification of the overall underreporting from either registry.
  
  
  RESULTS
  RTP data captured 96.6% (coefficient: 1.035), whereas EDISS captured only 54.4% of total fatalities (overall concordance: 51.1%). On the contrary, EDISS captured 94.6% of nonfatal injuries, whereas RTP only captured 16% (coefficient: 6.238), resulting in a low overall concordance (10.6%). Considering severity of injury assessed by EDISS, by using the ISS as the gold standard, RTP data misclassified 20.3% of severe injuries as less severe, and a statistically significant difference in the underreporting by gender was also noted.
  
  
  CONCLUSIONS
  Relatively simple methodologies can provide essential coefficients to assess the actual numbers, severity, and components of road casualties by complementing routinely collected RTP with sentinel emergency department reporting systems.
authors.affiliation: Department of Hygiene, Epidemiology and Medical Statistics, Athens University Medical School, Athens, Greece. epetrid@med.uoa.gr
authors.forename: Eleni Th
authors.initials: ET
authors.lastname: Petridou
authors.forename: George
authors.initials: G
authors.lastname: Yannis
authors.forename: Agapios
authors.initials: A
authors.lastname: Terzidis
authors.forename: Nick
authors.initials: N
authors.lastname: Dessypris
authors.forename: Evi
authors.initials: E
authors.lastname: Germeni
authors.forename: Petros
authors.initials: P
authors.lastname: Evgenikos
authors.forename: Natalia
authors.initials: N
authors.lastname: Tselenti
authors.forename: Antonis
authors.initials: A
authors.lastname: Chaziris
authors.forename: Ilias
authors.initials: I
authors.lastname: Skalkidis
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D005260:Female; D006115:Greece / Q000453:epidemiology; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D015601:Injury Severity Score; D008297:Male; D008498:Medical Record Linkage / Q000379:methods*; D008875:Middle Aged; D016495:Police / Q000706:statistics & numerical data*; D018571:Sentinel Surveillance; D014947:Wounds and Injuries / Q000453:epidemiology*