• R Hesselfeldt, J Steinmetz, H Jans, M-L B Jacobsson, D L Andersen, K Buggeskov, M Kowalski, M Praest, L Øllgaard, P Höiby, and L S Rasmussen.
• Department of Anaesthesia Section 4231, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. Hesselfeldt@hotmail.com
• Acta Anaesthesiol Scand. 2013 May 1;57(5):660-8.

IntroductionThis study aims to compare the trauma system before and after implementing a physician-staffed helicopter emergency medical service (PS-HEMS). Our hypothesis was that PS-HEMS would reduce time from injury to definitive care for severely injured patients.MethodsThis was a prospective, controlled, observational study, involving seven local hospitals and one level I trauma centre using a before and after design. All patients treated by a trauma team within a 5-month period (1 December 2009-30 April 2010) prior to and a 12-month period (1 May 2010-30 April 2011) after implementing a PS-HEMS were included. We compared time from dispatch of the first ground ambulance to arrival in the trauma centre for patients with Injury Severity Score (ISS) > 15. Secondary end points were the proportion of secondary transfers and 30-day mortality.ResultsWe included 1788 patients, of which 204 had an ISS > 15. The PS-HEMS transported 44 severely injured directly to the trauma centre resulting in a reduction of secondary transfers from 50% before to 34% after implementation (P = 0.04). Median delay for definitive care for severely injured patients was 218 min before and 90 min after implementation (P < 0.01). The 30-day mortality was reduced from 29% (16/56) before to 14% (21/147) after PS-HEMS (P = 0.02). Logistic regression showed PS-HEMS had an odds ratio (OR) for survival of 6.9 compared with ground transport.ConclusionsImplementation of a PS-HEMS was associated with significant reduction in time to the trauma centre for severely injured patients. We also observed significantly reduced proportions of secondary transfers and 30-day mortality.© 2013 The Acta Anaesthesiologica Scandinavica Foundation.

20 keywords...

hide…