extending the emergency medical services network for out-of-hospital cardiac arrest victims
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Extending the Emergency Medical Services network for out-of-hospital cardiac arrest victims. An explorative study for the province of Drenthe. Tef Jansma Master thesis University of Groningen supervisors: Dr. ir. Durk-Jouke van der Zee Dr. ir. Wilfred H.M. Alsem - PowerPoint PPT PresentationTRANSCRIPT
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Extending the Emergency Medical Services network for out-of-
hospital cardiac arrest victimsAn explorative study for the province of Drenthe
Tef JansmaMaster thesis
University of Groningen supervisors:Dr. ir. Durk-Jouke van der Zee
Dr. ir. Wilfred H.M. Alsem
UMCG Ambulancezorg supervisor:Ir. Jaap Hatenboer
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Introduction Research design Analysis Redesign Conclusions & Further research
Contents
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Extending the emergency medical services network for out-of-hospital cardiac (OHCA) arrest victims
OHCA◦ “Cessation of cardiac mechanical activity that is
confirmed by the absence of signs of circulation, and which occurs outside a hospital setting.”
◦ Treatment needs to begin within 4 minutes◦ Incidence: 0.1% of population yearly◦ 4% of blue lights responses
Introduction
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Case study◦ Drenthe: 490.000 inhabitants◦ EMS provider: UMCG Ambulancezorg◦ OHCA survival rate 10% - 15%◦ Dutch response time requirements
Survival rate unacceptable◦ World class: >25% (e.g. King County)
Cost-effectiveness of solutions?
Introduction
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Research objective◦ Deliver a cost-efficient system redesign for
UMCG Ambulancezorg that improves the estimated survival rate for out-of-hospital cardiac arrests to 25%.
Performance indicators◦ Survival rate estimate (%)◦ Investment costs (€) and variable costs (€ /
year)
Method◦ Simulation
Research design
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Treatment: CPR, defibrillation, advanced care
Executing any step earlier directly improves survival probability
CPR < 4 min Defibrillation < 8 min Advanced care < 12 min
Analysis
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AHA (2000), Larsen (1993), Waalewijn et al (2002)
Analysis
No interventions(black line) 16%
Defibrillation after 7 min
CPR after 1 min(dark grey) 30%
t0
tCPR
tdef
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Current EMS system
Arrivals◦ 6% < 4 min◦ 51% < 8 min◦ 86% < 12 min
Survival◦ 11.5% probability
Analysis – region wide
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Three extra posts (maximizing coverage)
Arrivals◦ 9% < 4 min◦ 55% < 8 min◦ 89% < 12 min
Survival◦ 12.5% probability◦ (+1.0%, 2M €/year)
Redesign – region wide
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Redesign – region wide Current EMS system
◦ 11.5% survival prob.
EMS + 3 posts◦ 12.5% survival◦ (+1.0%, 2M €/year)
EMS + firefighters◦ 17.6% survival◦ (+6.1%, 50k €/year)
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Current volunteer network (100% responding)
Arrivals◦ 36% < 4 min◦ 93% < 8 min◦ 100% < 12 min
Assen◦ Call hotspot◦ 70.000 inhabitants
Redesign – local, volunteers
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50% volunteer density / responding
Arrivals◦ 21% < 4 min◦ 86% < 8 min◦ 99% < 12 min
Redesign – local, volunteers
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Current AED network
Arrivals◦ 6% < 4 min◦ 28% < 8 min◦ 68% < 12 min
Redesign – local, AEDs
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Double AED density:
Arrivals◦ 10% < 4 min◦ 54% < 8 min◦ 96% < 12 min
Redesign – local, AEDs
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EMS Firefighters Police Volunteers AEDs
Redesign – combining networks
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Conclusion: 25% survival rate is attainable◦ Call center needs to alert all networks◦ Other networks must actively cooperate◦ Systematically collect (performance) data◦ At least double public AEDs (230 pcs, 345.000 €)◦ AEDs in rescue services cars (150 pcs, 225.000 €)◦ Increase public awareness and volunteer base
Further research◦ Include general practitioner network◦ Effective volunteer dispatching strategies
Conclusions & Further research
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Tef JansmaMaster thesis
University of Groningen supervisors:Dr. ir. Durk-Jouke van der Zee
Dr. ir. Wilfred H.M. Alsem
UMCG Ambulancezorg supervisor:Ir. Jaap Hatenboer
Thank you for your attention!