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Related Experiment Videos

Predicting demand for emergency ambulance service.

R T Cadigan1, C E Bugarin

  • 1Massachusetts Department of Public Health, Office of Emergency Medical Services, Boston 02116.

Annals of Emergency Medicine
|June 1, 1989
PubMed
Summary

Community demand for emergency medical services is linked to population size and socioeconomic factors. Lower incomes and older populations correlate with higher demand, highlighting resource allocation challenges for local services.

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Estimating prehospital demand for pediatric antishock garments.

The American journal of emergency medicineยท1986
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Area of Science:

  • Public Health
  • Health Services Research
  • Emergency Medicine

Background:

  • Prehospital emergency medical services (EMS) are critical for community health.
  • Understanding factors influencing EMS demand is essential for resource allocation and service planning.

Purpose of the Study:

  • To investigate the relationship between community characteristics and demand for prehospital emergency medical services.
  • To identify key demographic and socioeconomic predictors of EMS utilization.

Main Methods:

  • Analysis of community-level data on EMS demand.
  • Statistical correlation between demand and population, median income, age demographics, and poverty levels.

Main Results:

  • EMS demand strongly correlates with population size.

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  • Median income, percentage of population over 65, and poverty levels significantly influence demand.
  • Higher demand is observed in lower-income communities and those with a larger elderly population.

    • Conclusions:

    • Community socioeconomic status and age demographics are significant drivers of prehospital EMS demand.
    • Resource allocation for EMS must consider these demographic and economic factors, particularly in lower-income areas.
    • Findings underscore the need for strategic planning to meet varying community needs for emergency medical services.