PT - JOURNAL ARTICLE AU - Tatli, Ozgur AU - Turkmen, Suha AU - Imamoglu, Melih AU - Karaca, Yunus AU - Cicek, Mustafa AU - Yadigaroglu, Metin AU - Bayrak, Selen T. AU - Asik, Olgun AU - Topbas, Murat AU - Turedi, Suleyman TI - A novel method for improving chest tube insertion skills among medical interns AID - 10.15537/smj.2017.10.21021 DP - 2017 Oct 01 TA - Saudi Medical Journal PG - 1007--1012 VI - 38 IP - 10 4099 - http://smj.org.sa/content/38/10/1007.short 4100 - http://smj.org.sa/content/38/10/1007.full SO - Saudi Med J2017 Oct 01; 38 AB - Objectives: To develop a low-cost biomaterial-covered chest tube simulation model and assess its possible usefulness for developing the chest tube insertion skills among medical interns.Methods: This mannequin-based interventional study was performed in a University hospital setting. We included 63 physicians performing emergency medicine internship at the Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey, between January 2015 and March 2015. A dummy was prepared for training simulation using a display mannequin. Medical interns received instruction concerning pneumothorax and the chest tube procedure. A total of 63 medical interns participating in this interventional study were asked to insert a chest tube in a biomaterial-covered mannequin. A senior trainee scored their performance using a check list and the mean of the total scores was calculated (21 items; total score, 42).Results: The mean procedural score was 40.9 ± 1.3 of a possible 42. The maximum score of 42 was achieved by 39.7% of the medical interns, while another 33.3% achieved a score of 41. Of the participants, 85% succeeded in inserting the tube via an appropriate technique, achieving a score of 40 or more.Conclusion: Our results indicated that this model could be useful for effective training of medical interns for chest tube insertion, which is an important skill in emergency medicine. This biomaterial-covered model is inexpensive and its use can potentially be widened to improve training methods without significant financial demand.