title: Estimating under-reporting of road crash injuries to police using multiple linked data collections.
abstract: The reliance on police data for the counting of road crash injuries can be problematic, as it is well known that not all road crash injuries are reported to police which under-estimates the overall burden of road crash injuries. The aim of this study was to use multiple linked data sources to estimate the extent of under-reporting of road crash injuries to police in the Australian state of Queensland. Data from the Queensland Road Crash Database (QRCD), the Queensland Hospital Admitted Patients Data Collection (QHAPDC), Emergency Department Information System (EDIS), and the Queensland Injury Surveillance Unit (QISU) for the year 2009 were linked. The completeness of road crash cases reported to police was examined via discordance rates between the police data (QRCD) and the hospital data collections. In addition, the potential bias of this discordance (under-reporting) was assessed based on gender, age, road user group, and regional location. Results showed that the level of under-reporting varied depending on the data set with which the police data was compared. When all hospital data collections are examined together the estimated population of road crash injuries was approximately 28,000, with around two-thirds not linking to any record in the police data. The results also showed that the under-reporting was more likely for motorcyclists, cyclists, males, young people, and injuries occurring in Remote and Inner Regional areas. These results have important implications for road safety research and policy in terms of: prioritising funding and resources; targeting road safety interventions into areas of higher risk; and estimating the burden of road crash injuries.
authors.affiliation: CARRS-Q, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Queensland 4059, Australia. Electronic address: angela.watson@qut.edu.au.
authors.forename: Angela
authors.initials: A
authors.lastname: Watson
authors.affiliation: CARRS-Q, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Queensland 4059, Australia. Electronic address: b.watson@qut.edu.au.
authors.forename: Barry
authors.initials: B
authors.lastname: Watson
authors.affiliation: CARRS-Q, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Queensland 4059, Australia. Electronic address: k.vallmuur@qut.edu.au.
authors.forename: Kirsten
authors.initials: K
authors.lastname: Vallmuur
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015982:Bias; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000706:statistics & numerical data; D016495:Police / Q000706:statistics & numerical data*; D057766:Policy; D011793:Queensland / Q000453:epidemiology; D012449:Safety; D014947:Wounds and Injuries / Q000453:epidemiology*; D055815:Young Adult
keywords: Data linkage; Injury surveillance; Road crash under-reporting; Traffic injuries