Original Article
                        
                             
                        
                        
                                
                        Predictive Validity of the ProMIS Hybrid Simulator in a Urology Residency Training Program
 
                    
                        Amjad Alwaal, Talal Al-Qaoud, Richard Haddad, Tarek Alzahrani, Josee Delisle and Maurice Anidjar
                        World journal of Minimal Access Surgery 2015, 4:1
                        
                    Abstract
                     
                         
    Objectives
  
  We assessed the predictive validity of ProMIS hybrid laparoscopic simulator in a urology residency program. 
  
    Methods
  
  Between June 2008 and December 2011, we trained 14 urology residents on ProMIS, measuring 5 basic laparoscopic tasks (peg transfer, pattern cutting, EndoLoop placement, extracorporeal suturing, and intracorporeal suturing). Then, we compared their last performance on ProMIS to their first performance on a porcine laparoscopic nephrectomy model. Two independent urologic surgeons with laparoscopic experience rated the resident performance on the porcine models, and kappa test with standardized weight function was used to assess for inter-observer bias. Non-parametric spearman correlation test was used to compare each rater’s cumulative score with the cumulative score obtained on the porcine models in order to test the predictive validity of the ProMIS simulator.
  
    Results
  
  The kappa results showed acceptable agreement between the two observers amongst all domains of the rating scale of performance except for confidence of movement and efficiency. In addition, poor predictive validity of the ProMIS simulator was demonstrated.
  
    Conclusions
  
  We could not demonstrate the predictive validity for the ProMIS hybrid simulator in our urology residency program.
  
    Key words 
  
  ProMIS, MISTELS, Laparoscopic simulator, MIS training
                         
                      
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