TY - JOUR
T1 - Simulation-Based Training for Thoracoscopy
AU - Bjurström, Johanna Margareta
AU - Konge, Lars
AU - Lehnert, Per
AU - Krogh, Charlotte Loumann
AU - Hansen, Henrik Jessen
AU - Petersen, René Horsleben
AU - Ringsted, Charlotte
PY - 2013/10
Y1 - 2013/10
N2 - INTRODUCTION: An increasing proportion of thoracic procedures are performed using video-assisted thoracic surgery. This minimally invasive technique places special demands on the surgeons. Using simulation-based training on artificial models or animals has been proposed to overcome the initial part of the learning curve. This study aimed to investigate the effect of simulation-based training and to compare self-guided and educator-guided training. METHODS: The study included a surgeon group (n = 10) and 30 randomized novices in 3 groups. A control group (n = 10) and the group of surgeons (n = 10) were tested with no previous simulator training. A self-guided training group (n = 10) and an educator-guided training group (n = 10) trained for 3 hours on 3 scenarios of increasing fidelity and difficulty before taking a standardized test consisting of performing a wedge resection on a porcine lung, which was recorded and assessed blindly and independently by 2 thoracoscopic experts using a modified version of a validated assessment tool. RESULTS: Interrater reliability was acceptable (Spearman ρ = 0.73, P < 0.001). The control group and the self-guided training group performed significantly worse than the experienced surgeons (P = 0.012 and P = 0.010, respectively). There was no significant difference between the educator-guided training group and the experienced surgeons (P = 0.271). CONCLUSIONS: This randomized study concerning simulation-based training for thoracoscopy showed that 3 hours of intensive simulator training with a dedicated educator enables novices to perform an acceptable wedge resection in a simple, simulated model. Although not significant, it seemed that having an educator present during training had a beneficiary effect. Transfer studies are required for further conclusions.
AB - INTRODUCTION: An increasing proportion of thoracic procedures are performed using video-assisted thoracic surgery. This minimally invasive technique places special demands on the surgeons. Using simulation-based training on artificial models or animals has been proposed to overcome the initial part of the learning curve. This study aimed to investigate the effect of simulation-based training and to compare self-guided and educator-guided training. METHODS: The study included a surgeon group (n = 10) and 30 randomized novices in 3 groups. A control group (n = 10) and the group of surgeons (n = 10) were tested with no previous simulator training. A self-guided training group (n = 10) and an educator-guided training group (n = 10) trained for 3 hours on 3 scenarios of increasing fidelity and difficulty before taking a standardized test consisting of performing a wedge resection on a porcine lung, which was recorded and assessed blindly and independently by 2 thoracoscopic experts using a modified version of a validated assessment tool. RESULTS: Interrater reliability was acceptable (Spearman ρ = 0.73, P < 0.001). The control group and the self-guided training group performed significantly worse than the experienced surgeons (P = 0.012 and P = 0.010, respectively). There was no significant difference between the educator-guided training group and the experienced surgeons (P = 0.271). CONCLUSIONS: This randomized study concerning simulation-based training for thoracoscopy showed that 3 hours of intensive simulator training with a dedicated educator enables novices to perform an acceptable wedge resection in a simple, simulated model. Although not significant, it seemed that having an educator present during training had a beneficiary effect. Transfer studies are required for further conclusions.
U2 - 10.1097/sih.0b013e31828df760
DO - 10.1097/sih.0b013e31828df760
M3 - Journal article
C2 - 23598861
SN - 1559-2332
VL - 8
SP - 317
EP - 323
JO - Simulation in Healthcare
JF - Simulation in Healthcare
IS - 5
ER -