medical response to mass gatherings

18
Medical Response to Mass Gatherings Mr Jamie Ranse, RN FRCNA Chief Nursing Officer, St John Ambulance Australia Clinical Manager (Research Portfolio), Emergency Department – Calvary Health Care ACT Research Associate, Flinders University Research Centre for Disaster Resilience and Health

Upload: jamie-ranse

Post on 03-Jul-2015

976 views

Category:

Documents


3 download

DESCRIPTION

presentation to the ACT Ambulance Service Continuing Medical Education, 25th March 2010.

TRANSCRIPT

Page 1: Medical response to mass gatherings

Medical Response to Mass Gatherings

Mr Jamie Ranse, RN FRCNA

Chief Nursing Officer, St John Ambulance Australia

Clinical Manager (Research Portfolio), Emergency Department – Calvary Health Care ACT

Research Associate, Flinders University Research Centre for Disaster Resilience and Health

Page 2: Medical response to mass gatherings

Overview

• Definition• Conceptual models• Workload characteristics• Workload prediction• Event design• Implications• Case studies• Where to from here...• Questions

Page 3: Medical response to mass gatherings

Definition

• Variable• Based on:

– Spectator / participant numbers– Duration– Location

Page 4: Medical response to mass gatherings

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

Page 5: Medical response to mass gatherings

Conceptual Model

Page 6: Medical response to mass gatherings

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?

level of onsite care

age of participants

duration

geography

Page 7: Medical response to mass gatherings

Workload characteristics and conceptual model

Page 8: Medical response to mass gatherings

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

Page 9: Medical response to mass gatherings

Workload prediction

Royal Adelaide show: 1996 - 2001

Page 10: Medical response to mass gatherings

Event design

• Crowd mood– Music festivals– Spaces

• Patient access

Page 11: Medical response to mass gatherings

Implications

• Pre-ambulance• Pre-hospital

Page 12: Medical response to mass gatherings

Implications

• Pre-ambulance• Pre-hospital• Emergency Department

Page 13: Medical response to mass gatherings

Implications

• Pre-ambulance• Pre-hospital• Emergency Department• Hospital

Page 14: Medical response to mass gatherings

Case studies

Page 15: Medical response to mass gatherings

Case studies

Page 16: Medical response to mass gatherings

Case studies

Page 17: Medical response to mass gatherings

Where to from here…

• Education• Research• Mass gathering management in the ACT and

surrounds

Page 18: Medical response to mass gatherings

Questions?

Mr Jamie Ranse, RN FRCNA

Chief Nursing Officer, St John Ambulance Australia

Clinical Manager (Research Portfolio), Emergency Department – Calvary Health Care ACT

Research Associate, Flinders University Research Centre for Disaster Resilience and Health