Linking emergency medical department and road traffic police casualty data: A tool in assessing the burden of injuries in less resourced countries

Petridou, ET; Yannis, G; Terzidis, A; Dessypris, N; Germeni, E; Evgenikos, P; Tselenti, N; Chaziris, A; Skalkidis, I

dc.contributor.author	Petridou, ET	en
dc.contributor.author	Yannis, G	en
dc.contributor.author	Terzidis, A	en
dc.contributor.author	Dessypris, N	en
dc.contributor.author	Germeni, E	en
dc.contributor.author	Evgenikos, P	en
dc.contributor.author	Tselenti, N	en
dc.contributor.author	Chaziris, A	en
dc.contributor.author	Skalkidis, I	en
dc.date.accessioned	2014-03-01T01:31:00Z
dc.date.available	2014-03-01T01:31:00Z
dc.date.issued	2009	en
dc.identifier.issn	1538-9588	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19712
dc.subject	Burden of injury	en
dc.subject	Linkage	en
dc.subject	Medical files	en
dc.subject	Police files	en
dc.subject	Road accident data	en
dc.subject	Underreporting	en
dc.subject.other	adolescent	en
dc.subject.other	adult	en
dc.subject.other	aged	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	child	en
dc.subject.other	emergency health service	en
dc.subject.other	female	en
dc.subject.other	Greece	en
dc.subject.other	health survey	en
dc.subject.other	human	en
dc.subject.other	infant	en
dc.subject.other	injury	en
dc.subject.other	injury scale	en
dc.subject.other	male	en
dc.subject.other	medical record	en
dc.subject.other	methodology	en
dc.subject.other	middle aged	en
dc.subject.other	newborn	en
dc.subject.other	police	en
dc.subject.other	preschool child	en
dc.subject.other	statistics	en
dc.subject.other	traffic accident	en
dc.subject.other	Accidents, Traffic	en
dc.subject.other	Adolescent	en
dc.subject.other	Adult	en
dc.subject.other	Aged	en
dc.subject.other	Algorithms	en
dc.subject.other	Child	en
dc.subject.other	Child, Preschool	en
dc.subject.other	Emergency Medical Services	en
dc.subject.other	Female	en
dc.subject.other	Greece	en
dc.subject.other	Humans	en
dc.subject.other	Infant	en
dc.subject.other	Infant, Newborn	en
dc.subject.other	Injury Severity Score	en
dc.subject.other	Male	en
dc.subject.other	Medical Record Linkage	en
dc.subject.other	Middle Aged	en
dc.subject.other	Police	en
dc.subject.other	Sentinel Surveillance	en
dc.subject.other	Wounds and Injuries	en
dc.title	Linking emergency medical department and road traffic police casualty data: A tool in assessing the burden of injuries in less resourced countries	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/15389580802526400	en
heal.identifier.secondary	http://dx.doi.org/10.1080/15389580802526400	en
heal.language	English	en
heal.publicationDate	2009	en
heal.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. Conclusion: 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.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	Traffic Injury Prevention	en
dc.identifier.doi	10.1080/15389580802526400	en
dc.identifier.isi	ISI:000264471000006	en
dc.identifier.volume	10	en
dc.identifier.issue	1	en
dc.identifier.spage	37	en
dc.identifier.epage	43	en