Σφακιανάκης Αλέξανδρος
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Παρασκευή 24 Φεβρουαρίου 2017

A new training approach in endoscopic percutaneous tracheostomy using a simulation model based on biological tissue.

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A new training approach in endoscopic percutaneous tracheostomy using a simulation model based on biological tissue.

Minerva Anestesiol. 2016 Feb;82(2):196-201

Authors: Terragni P, Mascia L, Faggiano C, Tenaglia T, Morello E, Succo G, Ranieri M, Brazzi L

Abstract
BACKGROUND: Ciaglia et al. originally proposed the percutaneous tracheostomy in 1985 as an alternative to the surgical approach. Several variants have been developed in the years with a convincing evidence that, compared to surgical tracheostomy, the percutaneous approach is more cost-effective without compromising safety. However the procedure is not immune from complications and requires procedural skills and adequate level of expertise with a steep learning curve. In this contest, to optimize safety and efficacy of percutaneous tracheostomy in different clinical scenarios, physicians should be familiar with the different available percutaneous techniques. Traditionally, the training has been performed using manikins or animal models. However, by definition the manikin is not able to replicate the complex anatomy and does not provide a realist model for learning.
METHODS: A sheep model was implemented and was tested in a simulation-based course for percutaneous dilational tracheostomy and cricothyrotomy organized by the Department of Surgical Sciences of University of Turin at the Special Educational Section of the Veterinary Sciences Department (University of Turin).
RESULTS: From September 2012 to December 2014, 2 sessions of the training course were performed. Thirty-two anesthesiologists (16 men and 16 women, mean (SD) age 40.4 (SD 8.6) attended the course. A quality assessment of the course was then collected by participants.
CONCLUSIONS: The biological model we implemented proved to be adequate and effective. Future studies are required to compare its efficacy with previously proposed training methods.

PMID: 25907579 [PubMed - indexed for MEDLINE]



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