Changing epidemiology of assault victims in an emergency department participating in information sharing with police: a time series analysis.

INTRODUCTION: Violent injury places a large burden on the NHS. We had implemented information sharing in our ED in 2007 and aimed to see which patient groups were most affected by information sharing, as this would provide clues as to how this complex intervention works. METHODS: Retrospective time series study of all the assault victims presenting for ED care between 2005 and 2014 at a single ED in England. RESULTS: 10 328 patients presented during the study period. There was a 37% decrease in the number of patients presenting after assault, consistent with national trends. The proportions of people arriving by ambulance, and the proportion of men did not change during the study period. There were no important changes in the age of our assault patients in this study. Greater, disproportionate, decreases in rates of violence were seen in patients who presented at the weekend up (incidence rate ratio (IRR)=0.57, 95% CI 0.50 to 0.64) versus weekdays (IRR=0.72; 95% CI 0.62 to 0.83) There were also disproportionately greater decreases over the study period in patients who were discharged with no hospital follow-up (IRR=0.51, 95% CI 0.45 to 0.56) versus those leading to either an inpatient admission (IRR=1.05, 95% CI 0.84 to 1.31) or outpatient follow-up (IRR=1.23, 95% CI 0.93 to 1.64). CONCLUSIONS: The epidemiology of violent injury at our institution has changed over the last 10 years and is most marked in a reduction of visits at the weekend, and in those who leave without follow up.

External validation of the Cardiff model of information sharing to reduce community violence: natural experiment.

BACKGROUND: Community violence is a substantial problem for the NHS. Information sharing of emergency department data with community safety partnerships (CSP) has been associated with substantial reductions in assault attendances in emergency departments supported by academic institutions. We sought to validate these findings in a setting not supported by a public health or academic structure. METHODS: We instituted anonymous data sharing with the police to reduce community violence, and increased involvement with the local CSP. We measured the effectiveness of this approach with routinely collected data at the emergency department and the police. We used police data from 2009, and emergency department data from 2000. RESULTS: Initially, the number of assault patients requiring emergency department treatment rose after we initiated data sharing. After improving the data flows, the number of assault patients fell back to the predata-sharing level. There was no change in the number of hospital admissions during the study period. There were decreases in the numbers of violent crimes against the person, with and without injury, recorded by the police. CONCLUSIONS: We have successfully implemented data sharing in our institution without the support of an academic institution. This has been associated with reductions in violent crime, but it is not clear whether this association is causal.