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Time Course of Hoist Operations by the Search and Rescue Helicopter Service in Southeast Norway
Martin Samdal1, Helge Eiding1, Lars Markengbakken2
1Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway; Division of Emergencies and Critical Care, Department of Anesthesiology, Oslo University Hospital, Oslo, Norway; Faculty of Medicine, University of Oslo, Oslo, Norway.
Hoist rescue operations by the Norwegian Search and Rescue (SAR) helicopter service were analyzed. Simulated hoist extrication times provide new data to improve emergency medical dispatch accuracy.
Area of Science:
- Emergency medicine
- Prehospital care
- Aviation rescue
Background:
- Optimal emergency medical services (EMS) dispatch requires accurate prehospital time estimates.
- Hoist rescue time intervals for Norway's Search and Rescue (SAR) helicopter service remain unstudied.
- This study details the SAR service in southeast Norway, including simulated hoist operations.
Purpose of the Study:
- To describe the epidemiologic, operational, and medical aspects of SAR helicopter hoist operations.
- To determine time intervals for simulated hoist rescues.
- To enhance prehospital timeline accuracy for EMS dispatch.
Main Methods:
- Retrospective review of 148 hoist operations over 5 years, analyzing patient descriptors and medical interventions.
- Conducted a simulation study to measure hoist rescue time intervals.
- Data presented as mean±SD, with National Advisory Committee for Aeronautics (NACA) scores as modes.
Main Results:
- 148 hoist operations involved 180 patients; 49% were injured, 29% had medical conditions, 22% were evacuees.
- Time to take-off averaged 13±7 minutes. Medical interventions occurred in 49% of operations.
- Simulated rescuer access: 4±2 min; anesthesiologist access: 6±2 min; hoist extrication: 13±2 min.
Conclusions:
- Hoist rescues comprised 10% of SAR operations.
- New data on hoist extrication time intervals can improve SAR helicopter dispatch accuracy.
- Understanding these time intervals is crucial for optimizing prehospital emergency response.
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