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Temporal trends in cardiovascular demand in EMS: Weekday versus weekend differences.
Kate Cantwell1, Amee Morgans, Karen Smith
1Centre for Population Health, Burnet Institute , Melbourne , Australia .
Emergency medical services (EMS) data reveal distinct daily patterns for cardiovascular disease cases, with peaks in the late morning. Weekend demand differs from Mondays, impacting EMS resource planning.
Area of Science:
- Emergency medicine
- Cardiovascular epidemiology
- Public health analytics
Background:
- Diagnosed cardiovascular disease (CVD) exhibits known temporal patterns, including peak demand in the late morning and higher incidence on Mondays and during winter.
- Understanding these patterns is crucial for optimizing emergency medical services (EMS) resource allocation and patient care.
Purpose of the Study:
- To analyze temporal patterns of presumptive cardiovascular disease cases assessed by EMS.
- To characterize the distribution of these cases by day of the week and time of day.
Main Methods:
- Secondary analysis of Ambulance Victoria data (2008-2011) for metropolitan Melbourne.
- Inclusion of 182,983 presumptive cardiovascular disease cases, representing 15.2% of total demand.
- Utilized Poisson regression for case counts and trigonometric regression for temporal distribution analysis.
Main Results:
- Peak case numbers for most cardiovascular conditions occurred between 09:00 and 11:00, except for acute pulmonary edema (peak at 06:00).
- Distinct time-of-day distribution patterns were observed, independent of season.
- Weekend demand was lower than Mondays, with significant variations in distribution throughout the 24-hour period (e.g., fewer cases at 09:00, more at 01:00 on weekends).
Conclusions:
- Analyzing presumptive cardiovascular disease demand patterns, beyond simple counts, enhances understanding of EMS needs.
- While Mondays may have higher overall cardiovascular case numbers, weekend demand exhibits different temporal distributions.
- This knowledge is vital for informed EMS planning, including paramedic staffing and resource allocation.
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