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Modelling seasonal variations in presentations at a paediatric emergency department
1Department of Fundamental Nursing, Integrated Health Sciences, Institute of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Insights
Emergency department (ED) overcrowding is a significant issue. This study identified predictable patterns in paediatric ED patient flow, showing exponential growth and seasonal variations, aiding resource management.
Area of Science:
- Health Services Research
- Biostatistics
- Pediatric Emergency Medicine
Background:
- Emergency department (ED) overcrowding negatively impacts patient care, staff, and healthcare organizations.
- Proactive management of high patient volumes requires understanding and predicting ED presentation patterns.
- This study focuses on a pediatric ED to identify patient flow dynamics.
Purpose of the Study:
- To identify temporal patterns of patient flow in a pediatric emergency department.
- To develop a predictive model for emergency department presentations.
- To assist healthcare managers in optimizing resource allocation and preparedness.
Main Methods:
- Collected data on emergency department presentations from July 2003 to June 2008.
- Employed linear regression analysis incorporating trigonometric functions to model patient flow.
- Analyzed trends, seasonal oscillations, and variations in presentation frequency over time.
Main Results:
- A statistically significant exponential increase in daily average ED presentations was observed (p<0.001).
- A significant yearly oscillation in ED presentations was identified, with higher frequency in winter and lower in summer (p<0.001).
- The model explained 96% of the variance in ED presentation patterns, indicating increasing oscillation variation over time (p<0.05).
Conclusions:
- A robust regression model accurately describes pediatric ED patient flow patterns.
- The model provides insights into current trends and future predictions of patient volume.
- Findings support proactive healthcare management strategies to mitigate ED overcrowding.
Abstract:
Overcrowding is a phenomenon commonly observed at emergency departments (EDs) in many hospitals, and negatively impacts patients, healthcare professionals and organisations. Health care organisations are expected to act proactively to cope with a high patient volume by understanding and predicting the patterns of ED presentations. The aim of this study was, therefore, to identify the patterns of patient flow at a paediatric ED in order to assist the management of EDs. Data for ED presentations were collected from the Royal Children's Hospital in Melbourne, Australia, with the time-frame of July 2003 to June 2008. A linear regression analysis with trigonometric functions was used to identify the pattern of patient flow at the ED. The results showed that a logarithm of the daily average ED presentations was increasing exponentially (as explained by 0.004t + 0.00005t2 with t representing time, p<0.001). The model also indicated that there was a yearly oscillation in the frequency of ED presentations, in which lower frequencies were observed in summer and higher frequencies during winter (as explained by -0.046 sin(2(pi)t/12)-0.083 cos(2(pi)t/12), p<0.001). In addition, the variation of the oscillations was increasing over time (as explained by -0.002t*sin(2(pi)t/12)-0.001t*cos(2(pi)t/12), p<0.05). The identified regression model explained a total of 96% of the variance in the pattern of ED presentations. This model can be used to understand the trend of the current patient flow as well as to predict the future flow at the ED. Such an understanding will assist health care managers to prepare resources and environment more effectively to cope with overcrowding.