HEALTH CONSIDERATIONS AT MAJOR EVENTS (MASS GATHERINGS)

Jamie RanseAssistant Professor

University of Canberra

www.jamieranse.com

twitter.com/jamieranse

youtube.com/jamieranse

linkedin.com/in/jamieranse

• Definition

• Conceptual model

• Workload characteristics

• Workload prediction

• Event design

• Event managers

• Case studies

overview

definition

Class Subclass Persons Resources Example

Mass gathering

Small 200 – 1,500 Local area Local fair

Medium 1,500 – 10,000 Local area Local sports game

Large 10,000 – 100,000 Local +/- State Concert

Major mass gathering 100,000 – 250,000 State +/- Interstate Music festivalAgricultural show

Super mass gathering 250,000 – 500,000 State and Interstate Motor sports event

Extreme mass gathering

500,000 – 1,000,00National +/- international

Religious festival

Mega mass gathering 1,000,000+National and International

Olympics

conceptual model

workload characteristics

• Other extreme events

• Can we predict workload?

temperature

bounded or not

ETOH / drug availability

humidity

participant numbers

day / nightindoors / outdoors

crowd behaviour

• What factors influence workload / presentations?

level of onsite care

age of participants

duration

geography

workload characteristics and conceptual model

workload prediction

• Why predict workload?• What to predict?

– Patient presentation rate (PPR)

0.14 to 90/1,000 (majority 0.5 and 2.6/1,000)– Transport to hospital rate (TTHR)

0.01 to 0.55/1,000– Referral to hospital rate

5% - 10% of PPR

• How?– Predictive models– Historical prediction

workload prediction

Royal Adelaide show: 1996 - 2001

event design

• Crowd mood– Music festivals

– Spaces

• Patient access

event managers

• Health service– What level of service do you need?

– Health risk assessment

• Event managers– Overall risk management

– Patient information: confidentiality v duty of care

event managers

implications

• Pre-ambulance (PPR)

• Pre-hospital (TTHR)

implications

• Pre-ambulance (PPR)

• Pre-hospital (TTHR)

• Emergency Department

(RTHR)

implications

• Pre-ambulance

• Pre-hospital

• Emergency Department

• Hospital– surgery

8 years

14777 riders

673 presented to St John Ambulance Australia

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• 0.25% referred to hospital (1 every 1990km ridden)

• 0.06% referred to hospital by ambulance (1 every 36000km)

HEALTH CONSIDERATIONS AT MAJOR EVENTS (MASS GATHERINGS)

Jamie RanseAssistant Professor

University of Canberra

www.jamieranse.com

twitter.com/jamieranse

youtube.com/jamieranse

linkedin.com/in/jamieranse