Child injury: using national emergency department monitoring systems to identify temporal and demographic risk factors
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In: Injury Prevention, Vol. 20, No. 2, 04.2014, p. 74-80.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Child injury
T2 - using national emergency department monitoring systems to identify temporal and demographic risk factors
AU - Hughes, Karen
AU - McHale, Philip
AU - Wyke, Sacha
AU - Lowey, Helen
AU - Bellis, Mark A
PY - 2014/4
Y1 - 2014/4
N2 - Background Injury is a leading cause of death in children. Emergency department (ED) data offer a potentially rich source of data on child injury. This study uses an emerging national ED data collection system to examine sociodemographics and temporal trends in child injury attendances in England. Methods Cross sectional examination of ED attendances for key injury types made by children aged 0–14 years between April 2010 and March 2011 (road traffic injury (RTI) n=21 670; assault n=9529; deliberate self harm (DSH) n=3066; sports injury n=88 250; burns n=22 222; poisoning n=12 446). Multivariate analyses examined the impact of demographics (age, gender, residential deprivation) and temporal events (day, month, school and public holidays) on risk of attendance for different injury types. Results For most injury types, attendance increased with deprivation. The attendance ratio between children from the poorest and richest deprivation quintiles was greatest for assaults (4.21:1). Conversely, sports injury attendance decreased with deprivation. Males made more attendances than females for all but DSH. Age and temporal profiles varied by injury type. Assault attendances reduced at weekends while burns attendances increased. RTI and sports injury attendances were increased during school term times. Conclusions ED data can provide a major epidemiological resource for examining both temporal and demographic risks of child injury. Emerging systems, such as the one analysed here, can already inform the targeting of prevention, and with improved data coding and use, their utility would be greatly strengthened.
AB - Background Injury is a leading cause of death in children. Emergency department (ED) data offer a potentially rich source of data on child injury. This study uses an emerging national ED data collection system to examine sociodemographics and temporal trends in child injury attendances in England. Methods Cross sectional examination of ED attendances for key injury types made by children aged 0–14 years between April 2010 and March 2011 (road traffic injury (RTI) n=21 670; assault n=9529; deliberate self harm (DSH) n=3066; sports injury n=88 250; burns n=22 222; poisoning n=12 446). Multivariate analyses examined the impact of demographics (age, gender, residential deprivation) and temporal events (day, month, school and public holidays) on risk of attendance for different injury types. Results For most injury types, attendance increased with deprivation. The attendance ratio between children from the poorest and richest deprivation quintiles was greatest for assaults (4.21:1). Conversely, sports injury attendance decreased with deprivation. Males made more attendances than females for all but DSH. Age and temporal profiles varied by injury type. Assault attendances reduced at weekends while burns attendances increased. RTI and sports injury attendances were increased during school term times. Conclusions ED data can provide a major epidemiological resource for examining both temporal and demographic risks of child injury. Emerging systems, such as the one analysed here, can already inform the targeting of prevention, and with improved data coding and use, their utility would be greatly strengthened.
KW - Accidents
KW - Adolescent
KW - Age Distribution
KW - Athletic Injuries
KW - Child
KW - Child Abuse
KW - Child Welfare
KW - Child, Preschool
KW - Cross-Sectional Studies
KW - Emergency Service, Hospital
KW - England
KW - Female
KW - Health Services Misuse
KW - Humans
KW - Infant
KW - Infant, Newborn
KW - Male
KW - Population Dynamics
KW - Population Surveillance
KW - Public Health
KW - Risk Factors
KW - Sex Distribution
KW - Socioeconomic Factors
KW - Wounds and Injuries
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
U2 - 10.1136/injuryprev-2013-040816
DO - 10.1136/injuryprev-2013-040816
M3 - Article
C2 - 23842803
VL - 20
SP - 74
EP - 80
JO - Injury Prevention
JF - Injury Prevention
SN - 1475-5785
IS - 2
ER -