The pattern of ambulance arrivals in the emergency department of an acute care hospital in Singapore.
OBJECTIVE
(1) To determine the pattern of ambulance arrivals in the emergency department (ED) and (2) to review resource allocation based on these data.


METHODS
All (13 697) ambulance arrivals in 1996 to the ED of Tan Tock Seng Hospital were studied and where relevant compared with the walk in and total arrivals of the same year. The following data were obtained from computer records: (a) patients' demographic data; (b) number of ambulance arrivals by hour; (c) the classification of the ambulance arrivals by emergency or non-emergency, trauma or non-trauma; (d) cause of injury for trauma cases; (e) discharge status.


RESULTS
The ambulance arrivals in 1996 constituted 12.4% of the patient load for this department. There was no difference in modes of patient arrival to the ED by sex and ethnic group. However, there was significant evidence to show that more patients age > 60 came by ambulance than those age < 12 (p << 0.01). Some 98.5% of the ambulance arrivals were emergencies; 40.7% of the ambulance arrivals were attributable to trauma versus 27.3% of the walk in arrivals. The majority of the trauma cases brought in by ambulance were because of road traffic accidents (15.3%) or home accidents (7.4%). The peak in ambulance arrivals was between 2100-2300 hours compared with 1000-1200 for the walk in arrivals. More than half of the ambulance arrivals were admitted.


CONCLUSIONS
In planning resource allocation and in the development of contingency plans, the resource use of ambulance patients and the pattern of their arrivals should be taken into account.
Seow
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Department of Emergency Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore. eillyne_seow@notes.ttsh.gov.sg
Wong
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D000293:Adolescent; D000328:Adult; D000368:Aged; D000552:Ambulances / Q000706:statistics & numerical data*; D002648:Child; D004636:Emergency Service, Hospital / Q000458:organization & administration / Q000706:statistics & numerical data*; D005260:Female; D015276:Health Care Rationing / Q000458:organization & administration*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000706:statistics & numerical data; D010561:Personnel Staffing and Scheduling; D012189:Retrospective Studies; D012846:Singapore / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology