| Literature DB >> 30157756 |
Daniel Kornhall1,2,3, Robert Näslund4, Cecilia Klingberg4,5, Regina Schiborr4,6, Mikael Gellerfors4,7,8,9.
Abstract
BACKGROUND: Physician-staffed helicopter emergency services (HEMS) can provide benefit through the delivery of specialist competence and equipment to the prehospital scene and through expedient transport of critically ill patients to specialist care. This paper describes the integration of such a system in a rural Swedish county.Entities:
Keywords: Air ambulance; Critical care; Emergency medicine; Prehospital care; Rural; Wilderness medicine
Mesh:
Year: 2018 PMID: 30157756 PMCID: PMC6114183 DOI: 10.1186/s12873-018-0176-3
Source DB: PubMed Journal: BMC Emerg Med ISSN: 1471-227X
Fig. 1Dalarna county. Mora and Falun hospitals contain the county’s emergency departments. The helicopter is based at Mora airport, located just outside Mora. Patients requiring university hospital specialist care are transferred out of the county to Uppsala university Hospital
Fig. 2Outcomes of dispatch requests. Flowchart detailing the outcomes of all recorded emergency call center requests during the study period
Fig. 3The impact of request cancellation due to weather. Each column represents the monthly percentages of all emergency call center requests that were cancelled for poor weather and visibility. The rate of weather cancellation increased during the winter months
Fig. 4The temporal distribution of completed missions. Each bar represents the percentage of completed missions that HEMS launched for during that time interval
Missions destinations and modes of transport
| 12 months | 6 months | |||||
|---|---|---|---|---|---|---|
|
| (%) |
| (%) | Population | % of total population | |
| Destination municipality | ||||||
| Total | 405 | 100,0% | 186 | 100,00% | 284,700 | 100% |
| Malung-Sälen | 75 | 18,5% | 28 | 15,1% | 10,100 | 3,5% |
| Älvdalen | 61 | 15,1% | 26 | 14,0% | 7000 | 2,5% |
| Mora | 54 | 13,3% | 19 | 10,2% | 20,300 | 7,1% |
| Vansbro | 34 | 8,4% | 19 | 10,2% | 6900 | 2,4% |
| Ludvika | 31 | 7,7% | 17 | 9,1% | 26,900 | 9,5% |
| Rättvik | 26 | 6,4% | 15 | 8,1% | 10,900 | 3,8% |
| Out of county | 23 | 5,7% | 15 | 8,1% | N/A | N/A |
| Leksand | 21 | 5,2% | 14 | 7,5% | 15,500 | 5,5% |
| Gagnef | 18 | 4,4% | 9 | 4,8% | 10,200 | 3,6% |
| Orsa | 18 | 4,4% | 6 | 3,2% | 6900 | 2,4% |
| Falun | 14 | 3,5% | 6 | 3,2% | 57,700 | 20,3% |
| Hedermora | 9 | 2,2% | 4 | 2,2% | 15,500 | 5,4% |
| Säter | 8 | 2,0% | 3 | 1,6% | 11,100 | 3,9% |
| Smedjebacken | 6 | 1,5% | 2 | 1,1% | 10,900 | 3,8% |
| Avesta | 4 | 1,0% | 2 | 1,1% | 23,200 | 8,1% |
| Borlänge | 3 | 0,7% | 1 | 0,5% | 51,600 | 18,1% |
| Transport to scene |
| (%) | Destination hospital |
| (%) | |
| Total | 405 | 100,0% | Total | 360 | 100,00% | |
| Helicopter | 387 | 95,6% | Falun | 176 | 48,9% | |
| Car | 18 | 4,4% | Mora | 157 | 43,6% | |
| Transport from scene |
| (%) | UUH | 14 | 3,9% | |
| Total | 405 | 100,0% | Other | 13 | 3,6% | |
| Helicopter | 238 | 58,8% | ||||
| Car | 122 | 30,1% | ||||
| Not transported | 45 | 11,1% | ||||
The destination municipalities of primary missions during the study period at 12 and 6 months. Out of county destinations were neighboring counties or cross-border locations in Norway. The bottom left table details the modes of transport to and from scene, respectively. The bottom right table describes hospital destinations
Overview of primary and secondary missions
| SOS request criterium | NACA, median (IQR) | Age in yrs., median (Range) | Male gender | |||||
|---|---|---|---|---|---|---|---|---|
| Primary missions | 405 | 100,0% | 4 | 2 | 46 | 0 to 94 | 269 | 66,4% |
| Trauma | 162 | 40,0% | 3 | 1 | 38 | 0 to 90 | 113 | 69,8% |
| Chest pain | 46 | 11,4% | 4 | 1 | 63 | 31 to 91 | 37 | 80,4% |
| Cardiac arrest | 44 | 10,9% | 6 | 0 | 66 | 0 to 89 | 32 | 72,7% |
| Dyspnoea | 31 | 7,7% | 4 | 2 | 16 | 0 to 94 | 15 | 48,4% |
| Stroke | 24 | 5,9% | 3 | 1 | 72 | 11 to 86 | 13 | 54,2% |
| Reduced LOC | 22 | 5,4% | 4 | 2 | 59 | 0 to 92 | 12 | 54,5% |
| Intoxication | 19 | 4,7% | 3 | 2 | 29 | 3 to 52 | 15 | 78,9% |
| Seizures | 18 | 4,4% | 3 | 1 | 20 | 0 to 88 | 10 | 55,6% |
| Other | 14 | 3,5% | 3 | 2 | 34 | 0 to 81 | 6 | 42,9% |
| Anaphylaxis | 10 | 2,5% | 3 | 1 | 32 | 0 to 75 | 7 | 70,0% |
| Acute abdominal pain | 6 | 1,5% | 3 | 1 | 58 | 8 to 72 | 6 | 100,0% |
| Pregnancy | 6 | 1,5% | 3 | 0 | 22 | 16 to 26 | 0 | 0,0% |
| Drowning | 3 | 0,7% | 6 | 1 | 65 | 7 to 75 | 3 | 100,0% |
| Secondary Missions | 73 | 100,0% | 5 | 1 | 53 | 0 to 86 | 42 | 57,5% |
Overview of all completed missions. Severity is expressed using median NACA with interquartile ranges (IQR). Age is presented as median age with absolute range in years
Fig. 5NACA proportions. The proportions of NACA scores in all completed primary (n = 405) and secondary (n = 73) missions