title: Closing the Aboriginal child injury gap: targets for injury prevention.
abstract: OBJECTIVE
  To describe the leading mechanisms of hospitalised unintentional injury in Australian Aboriginal children and identify the injury mechanisms with the largest inequalities between Aboriginal and non-Aboriginal children.
  
  
  METHODS
  We used linked hospital and mortality data to construct a whole of population birth cohort including 1,124,717 children (1,088,645 non-Aboriginal and 35,749 Aboriginal) born in the state of New South Wales (NSW), Australia, between 1 July 2000 and 31 December 2012. Injury hospitalisation rates were calculated per person years at risk for injury mechanisms coded according to the ICD10-AM classification.
  
  
  RESULTS
  The leading injury mechanisms in both groups of children were falls from playground equipment. For 66 of the 69 injury mechanisms studied, Aboriginal children had a higher rate of hospitalisation compared with non-Aboriginal children. The largest relative inequalities were observed for injuries due to exposure to fire and flame, and the largest absolute inequalities for injuries due to falls from playground equipment.
  
  
  CONCLUSIONS
  Aboriginal children in NSW experience a significant higher burden of unintentional injury compared with their non-Aboriginal counterparts. Implications for Public Health: We suggest the implementation of targeted injury prevention measures aimed at injury mechanism and age groups identified in this study.
authors: Centre for Big Data Research in Health, UNSW Kensington Campus, New South Wales.
authors: Holger
authors: H
authors: Möller
authors: Centre for Big Data Research in Health, UNSW Kensington Campus, New South Wales.|National Centre for Epidemiology and Population Health, The Australian National University, Australian Capital Territory.|The Sax Institute, New South Wales.
authors: Kathleen
authors: K
authors: Falster
authors: The George Institute for Global Health, New South Wales.
authors: Rebecca
authors: R
authors: Ivers
authors: Centre for Big Data Research in Health, UNSW Kensington Campus, New South Wales.
authors: Michael O
authors: MO
authors: Falster
authors: The Australian Health Services Research Institute, University of Wollongong, New South Wales.
authors: Kathleen
authors: K
authors: Clapham
authors: Centre for Big Data Research in Health, UNSW Kensington Campus, New South Wales.
authors: Louisa
authors: L
authors: Jorm
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data*; D000059:Accidents / Q000706:statistics & numerical data*; D000293:Adolescent; D017677:Age Distribution; D001315:Australia; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D005260:Female; D054624:Health Status Disparities; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D008297:Male; D009517:New South Wales / Q000453:epidemiology; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014947:Wounds and Injuries / Q000208:ethnology*
keywords: Indigenous; child; injury