Quantitative evaluation of retention of surgical skills learned in simulation.

BACKGROUND While initial results suggest that simulation does promote learning, there is a dearth of studies that define the extent to which skills learned through simulation are retained. METHODS Residents skills were measured upon completion of an initial simulation training (baseline scores) and then every month for 6 months. Analysis was also performed to identify the number of iterations of practice required to regain baseline scores. RESULTS While skill scores did not deteriorate from baseline after the first 3 months (p = 0.61, p = 0.44, p = 0.2, respectively), all scores (except time elapsed) reflected significant deterioration from the fourth month onward (p < 0.05, p < 0.032, p < 0.02). However the number of practice sessions required to regain baseline scores was significantly less than that required to achieve the baseline skill set (p < 0.0003). CONCLUSIONS Skills learned through simulation show significant deterioration over long periods of time, suggesting that periodic retraining of skills may be necessary to maintain surgical proficiency.

[1]  Mithra Vankipuram,et al.  Cognitive simulators for medical education and training , 2009, J. Biomed. Informatics.

[2]  Rajesh Aggarwal,et al.  An Evidence-Based Virtual Reality Training Program for Novice Laparoscopic Surgeons , 2006, Annals of surgery.

[3]  A. Gallagher,et al.  Objective Psychomotor Skills Assessment of Experienced, Junior, and Novice Laparoscopists with Virtual Reality , 2001, World Journal of Surgery.

[4]  A Darzi,et al.  Virtual reality simulation training can improve inexperienced surgeons' endovascular skills. , 2006, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[5]  L. Way,et al.  Fundamentals of laparoscopic surgery , 1995 .

[6]  Ara Darzi,et al.  Virtual reality simulation training can improve inexperienced surgeons' endovascular skills. , 2006 .

[7]  B. Hannaford,et al.  Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden Markov model. , 2002, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[8]  Blake Hannaford,et al.  Generalized approach for modeling minimally invasive surgery as a stochastic process using a discrete Markov model , 2006, IEEE Transactions on Biomedical Engineering.

[9]  Sethuraman Panchanathan,et al.  Effect of fatigue on psychomotor and cognitive skills. , 2008, American journal of surgery.

[10]  Sethuraman Panchanathan,et al.  Measuring movement expertise in surgical tasks , 2006, MM '06.

[11]  Retention of basic laparoscopic skills after a structured training program , 2009, Gynecological Surgery.

[12]  Objective assessment of surgical decision making in trauma after a laboratory-based course: durability of cognitive skills. , 2008, American journal of surgery.

[13]  James R Korndorffer,et al.  Skill retention following proficiency-based laparoscopic simulator training. , 2005, Surgery.

[14]  R. Reznick,et al.  Assessment of technical skills transfer from the bench training model to the human model. , 1999, American journal of surgery.

[15]  K. Kahol,et al.  Jack Barney award: the effect of fatigue on cognitive and psychomotor skills of trauma residents and attending surgeons. , 2008, American journal of surgery.