Di Qi1, Emil Petrusa2, Uwe Kruger3, Nicholas Milef4, Mohamad Rassoul Abu-Nuwar5, Mohamad Haque6, Robert Lim7, Daniel B Jones5, Melih Turkseven4, Doga Demirel8, Tansel Halic9, Suvranu De4, Noelle Saillant2. 1. Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York. Electronic address: qid@rpi.edu. 2. Department of Surgery, Massachusetts General Hospital, Harvard School of Medicine, Boston, Massachusetts. 3. Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York. 4. Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York. 5. Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, Boston, Massachusetts. 6. Anderson Simulation Center, Madigan Army Medical Center, Tacoma, Washigton. 7. Tripler Army Medical Center, Honolulu, Hawaii. 8. Department of Computer Science, Florida Polytechnic University, Lakeland, Florida. 9. Computer Science Department, University of Central Arkansas, Conway, Arkansas.
Abstract
BACKGROUND: Discriminating performance of learners with varying experience is essential to developing and validating a surgical simulator. For rare and emergent procedures such as cricothyrotomy (CCT), the criteria to establish such groups are unclear. This study is to investigate the impact of surgeons' actual CCT experience on their virtual reality simulator performance and to determine the minimum number of actual CCTs that significantly discriminates simulator scores. Our hypothesis is that surgeons who performed more actual CCT cases would perform better on a virtual reality CCT simulator. METHODS: 47 clinicians were recruited to participate in this study at the 2018 annual conference of the Society of American Gastrointestinal and Endoscopic Surgeons. We established groups based on three different experience thresholds, that is, the minimal number of CCT cases performed (1, 5, and 10), and compared simulator performance between these groups. RESULTS: Participants who had performed more clinical cases manifested higher mean scores in completing CCT simulation tasks, and those reporting at least 5 actual CCTs had significantly higher (P = 0.014) simulator scores than those who had performed fewer cases. Another interesting finding was that classifying participants based on experience level, that is, attendings, fellows, and residents, did not yield statistically significant differences in skills related to CCT. CONCLUSIONS: The simulator was sensitive to prior experience at a threshold of 5 actual CCTs performed.
BACKGROUND: Discriminating performance of learners with varying experience is essential to developing and validating a surgical simulator. For rare and emergent procedures such as cricothyrotomy (CCT), the criteria to establish such groups are unclear. This study is to investigate the impact of surgeons' actual CCT experience on their virtual reality simulator performance and to determine the minimum number of actual CCTs that significantly discriminates simulator scores. Our hypothesis is that surgeons who performed more actual CCT cases would perform better on a virtual reality CCT simulator. METHODS: 47 clinicians were recruited to participate in this study at the 2018 annual conference of the Society of American Gastrointestinal and Endoscopic Surgeons. We established groups based on three different experience thresholds, that is, the minimal number of CCT cases performed (1, 5, and 10), and compared simulator performance between these groups. RESULTS:Participants who had performed more clinical cases manifested higher mean scores in completing CCT simulation tasks, and those reporting at least 5 actual CCTs had significantly higher (P = 0.014) simulator scores than those who had performed fewer cases. Another interesting finding was that classifying participants based on experience level, that is, attendings, fellows, and residents, did not yield statistically significant differences in skills related to CCT. CONCLUSIONS: The simulator was sensitive to prior experience at a threshold of 5 actual CCTs performed.
Authors: Sara S Van Nortwick; Thomas S Lendvay; Aaron R Jensen; Andrew S Wright; Karen D Horvath; Sara Kim Journal: Surgery Date: 2009-12-16 Impact factor: 3.982
Authors: A Chellali; L Zhang; G Sankaranarayanan; V S Arikatla; W Ahn; A Derevianko; S D Schwaitzberg; D B Jones; M DeMoya; C G L Cao Journal: Surg Endosc Date: 2014-04-26 Impact factor: 4.584
Authors: Ganesh Sankaranarayanan; Henry Lin; Venkata S Arikatla; Maureen Mulcare; Likun Zhang; Alexandre Derevianko; Robert Lim; David Fobert; Caroline Cao; Steven D Schwaitzberg; Daniel B Jones; Suvranu De Journal: J Laparoendosc Adv Surg Tech A Date: 2010-03 Impact factor: 1.878
Authors: Ali Alaraj; Michael G Lemole; Joshua H Finkle; Rachel Yudkowsky; Adam Wallace; Cristian Luciano; P Pat Banerjee; Silvio H Rizzi; Fady T Charbel Journal: Surg Neurol Int Date: 2011-04-28