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Pilot study of metropolitan emergency department workload complexity
1Acute Demand Management Unit, State Health Emergency Services, Health Department of Western Australia, Fremantle, Australia. peter.sprivulis@health.wa.gov.au
Emergency Medicine Australasia : EMA
|July 9, 2004
Summary
Emergency department patient complexity can be assessed using the number of procedures, investigations, or consultations (PICsum). Patient age strongly correlates with complexity, suggesting age distribution as a potential proxy for assessing patient needs.
Area of Science:
- Emergency Medicine
- Healthcare Analytics
- Patient Flow Management
Background:
- Assessing emergency department (ED) patient complexity is crucial for resource allocation and patient care.
- Existing methods for complexity assessment may not fully capture the nuances of patient needs.
- The number of procedures, investigations, or consultations (PICsum) offers a quantifiable measure of patient complexity.
Purpose of the Study:
- To evaluate the utility of the number of procedures, investigations, or consultations (PICsum) as a measure of emergency department (ED) patient complexity.
- To identify patterns in patient complexity distribution within an ED setting.
- To explore the relationship between patient age and ED patient complexity.
Main Methods:
- Retrospective analysis of 12 months of data from an adult metropolitan teaching hospital ED.
- Calculation of the number of procedures, investigations, or consultations (PICsum) for each patient.
- Statistical analysis to determine the distribution of PICsum and its correlation with patient age.
Main Results:
- A bimodal distribution of PICsum was observed, with peaks at 1 and 7.
- Patients requiring a minimum of two procedures, investigations, or consultations (Min2 patients) constituted 59% of all patients and 93% of total PICsum.
- Patient age was highly correlated with both Mean PICsum (r = 0.98) and the proportion of Min2 patients (r = 0.98).
Conclusions:
- An intuitive complexity partition exists at one procedure, one investigation, and one consultation.
- Patient age is a significant correlate of ED patient complexity.
- ED patient age distribution can serve as a proxy for complexity, especially when combined with age-specific complexity data.