Hospital charges associated with motorcycle crash factors: a quantile regression analysis. Issue 4 (31st October 2013)

• Record Type: Journal Article
• Authors: Olsen, Cody S; Thomas, Andrea M; Cook, Lawrence J
• Is Part Of: Injury prevention. Volume 20:Issue 4(2014)
• Page Start: 276
• Page End: 280
• Publication Date: 2013-10-31
• Subjects: Children's accidents -- Prevention -- Periodicals; Accidents -- Prevention -- Periodicals; 617.1
• DOI: 10.1136/injuryprev-2013-040881
• Languages: English
• ISSNs: 1353-8047

Abstract

Abstract : Background: Previous studies of motorcycle crash (MC) related hospital charges use trauma registries and hospital records, and do not adjust for the number of motorcyclists not requiring medical attention. This may lead to conservative estimates of helmet use effectiveness. Methods: MC records were probabilistically linked with emergency department and hospital records to obtain total hospital charges. Missing data were imputed. Multivariable quantile regression estimated reductions in hospital charges associated with helmet use and other crash factors. Results: Motorcycle helmets were associated with reduced median hospital charges of $256 (42% reduction) and reduced 98th percentile of $32 390 (33% reduction). After adjusting for other factors, helmets were associated with reductions in charges in all upper percentiles studied. Quantile regression models described homogenous and heterogeneous associations between other crash factors and charges. Conclusions: Quantile regression comprehensively describes associations between crash factors and hospital charges. Helmet use among motorcyclists is associated with decreased hospital charges.