Background: Helicopter emergency medical services are an important part of many healthcare systems. Norway has a nationwide physician staffed air ambulance service with 12 bases servicing a country with large geographical variations in population density. The aim of the study was to estimate optimal air ambulance base locations.
Methods: We used high resolution population data for Norway from 2015, dividing Norway into >300 000 1 km×1 km cells. Inhabited cells had a median (5-95 percentile) of 13 (1-391) inhabitants. Optimal helicopter base locations were estimated using the maximal covering location problem facility location optimisation model, exploring the number of bases needed to cover various fractions of the population for time thresholds 30 and 45 min, both in green field scenarios and conditioning on the current base structure. We reanalysed on municipality level data to explore the potential information loss using coarser population data.
Results: For a 45 min threshold, 90% of the population could be covered using four bases, and 100% using nine bases. Given the existing bases, the calculations imply the need for two more bases to achieve full coverage. Decreasing the threshold to 30 min approximately doubles the number of bases needed. Results using municipality level data were remarkably similar to those using fine grid information.
Conclusions: The whole population could be reached in 45 min or less using nine optimally placed bases. The current base structure could be improved by moving or adding one or two select bases. Municipality level data appears sufficient for proper analysis.
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http://dx.doi.org/10.1136/injuryprev-2016-041973 | DOI Listing |
Emerg Med J
January 2025
School of Health & Social Care, Teesside University, Middlesbrough, North Yorkshire, UK.
Background: Ultrasound is now readily available in the prehospital setting and its use has been highlighted as one of the top research priorities in prehospital care. Clinical examination remains the standard care for diagnosing lung injury in the prehospital setting, yet this can be challenging and has poor diagnostic accuracy. This review evaluates the accuracy of prehospital ultrasound for the diagnoses of pneumothorax, haemothorax and pulmonary contusions in patients with trauma.
View Article and Find Full Text PDFResuscitation
December 2024
University Hospitals Birmingham NHS Foundation Trust, Birmingham Heartlands Hospital B9 5SS UK; Warwick Clinical Trials Unit, University of Warwick, Coventry, CV4 7AL.
Objective: To examine maternal and neonatal outcomes following Resuscitative Hysterotomy for out of hospital cardiac arrest (OHCA) and to compare with timing from cardiac arrest to delivery.
Methods: The review was registered with PROSPERO (CRD42023445064). Studies included pregnant women with out of hospital cardiac arrest and resuscitative hysterotomy performed (in any setting) during cardiac arrest.
We present a clinical observation of an 18-year-old female patient with congenital bronchiectasis combined with congenital cystic degeneration of the upper lobes of both lungs, Williams-Campbell syndrome, long-COVID, severe course. The patient was treated in infectious disease department (three times), with subsequent transfer to pulmonology department of Kursk Regional Multi-Purpose Clinical Hospital from 31.01.
View Article and Find Full Text PDFScand J Trauma Resusc Emerg Med
December 2024
Air Ambulance Charity Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK.
Background: Early rapid sequence induction of anaesthesia (RSI) and tracheal intubation for patients with airway or ventilatory compromise following major trauma is recommended, with guidance suggesting a 45-min timeframe. Whilst on-scene RSI is recommended, the potential time benefit offered by Helicopter Emergency Medical Services (HEMS) has not been studied. We compared the time from 999/112 emergency call to delivery of RSI between patients intubated either in the Emergency Department or pre-hospital by HEMS.
View Article and Find Full Text PDFIntroduction: As military environments integrate more complex technological systems, operators increasingly require more assistance from automation. When used properly, automation can significantly enhance performance; however, proper use is predicated on the operator's trust in the automation (TIA). TIA, like trust among people, is influenced by biological, psychosocial, and behavioral aspects.
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