Linkage of ambulance service and accident and emergency department data: a study of assault patients in the west midlands region of the UK

Injury. 2005 Jun;36(6):738-44. doi: 10.1016/j.injury.2004.12.045. Epub 2005 Mar 26.


Objective: The objectives of this study are to determine whether it is possible to link ambulance service and Emergency Department (ED) data for assault patients, to look at the potential advantages of this linkage and to investigate the quality of coding in the two data sets.

Data and methods: Data from West Midlands Ambulance Service and seven EDs in the urban West Midlands were linked using probabilistic linkage. The linked data were analysed to investigate demography, priority category, diagnosis, conscious level, disposal and assault coding.

Principal findings: 84.2% of the ambulance records were linked to an ED record. Only 40.7% of the linked records were coded as assault in the ED data and only 46.7% of ED assault cases brought by ambulance could be linked. 77.6% of all assault injuries were to the head, face and neck. Only 1.0% of patients presented with coma. 12.0% of all assault patients and 53.5% of the highest priority cases were admitted.

Conclusions: Data linkage is possible and can increase the amount of information available. Data quality problems were identified in both datasets, which has implications for the monitoring and prevention of assaults. The use of a common identifier would aid the following of patient pathways.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Ambulances / statistics & numerical data*
  • Child
  • Child, Preschool
  • Emergency Service, Hospital / statistics & numerical data*
  • England / epidemiology
  • Female
  • Glasgow Coma Scale / statistics & numerical data
  • Hospitalization / statistics & numerical data
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Medical Record Linkage / methods*
  • Middle Aged
  • Patient Discharge / statistics & numerical data
  • Patient Transfer / statistics & numerical data
  • Referral and Consultation / statistics & numerical data
  • Violence / statistics & numerical data*
  • Wounds and Injuries / epidemiology*