A comparison of actual versus predicted emergency ambulance journey times using generic Geographic Information System software

McMeekin, Peter, Gray, Joanne, Ford, Gary, Duckett, Jay and Price, Christopher (2014) A comparison of actual versus predicted emergency ambulance journey times using generic Geographic Information System software. Emergency Medicine Journal, 31 (9). pp. 758-762. ISSN 1472-0205

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1136/emermed-2012-202246

Abstract

Study objective - The planning of regional emergency medical services is aided by accurate prediction of urgent ambulance journey times, but it is unclear whether it is appropriate to use Geographical Information System (GIS) products designed for general traffic. We examined the accuracy of a commercially available generic GIS package when predicting emergency ambulance journey times under different population and temporal conditions.

Methods - We undertook a retrospective cohort study of emergency ambulance admissions to three emergency departments (ED) serving differing population distributions in northeast England (urban/suburban/rural). The transport time from scene to ED for all the highest priority dispatches between 1 October 2009 and 30 September 2010 was compared with predictions made by generic GIS software.

Results - For 10 156 emergency ambulance journeys, the mean prediction discrepancy between actual and predicted journey times across all EDs was an underprediction of 1.6 min (SD 4.9). Underprediction was statistically significant at all population densities, but unlikely to be of clinical significance. Ambulances in urban areas were able to exceed general traffic speed, whereas, the opposite effect was seen in suburban and rural road networks. There were minor effects due to travel outside the busiest traffic times (mean overprediction 0.8 min) and during winter months (mean underprediction 0.4 min).

Conclusions - It is reasonable to estimate emergency ambulance journey times using generic GIS software, but in order to avoid insufficient regional ambulance provision it would be necessary to make small adjustments because of the tendency towards systematic underprediction.

Item Type: Article
Subjects: B900 Others in Subjects allied to Medicine
L500 Social Work
Department: Faculties > Health and Life Sciences > Nursing, Midwifery and Health
Depositing User: Becky Skoyles
Date Deposited: 13 Aug 2015 08:00
Last Modified: 10 Oct 2019 23:01
URI: http://nrl.northumbria.ac.uk/id/eprint/23555

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics