Refining How We Define Laparoscopic Expertise.

ABSTRACT

BACKGROUND: Traditional stratification of expertise in laparoscopic simulation assigns participants to novice, intermediate, or expert groups based on case numbers. We hypothesized that expert video assessment might refine this discrimination of psychomotor expertise, especially in light of new measurable parameters. MATERIALS AND METHODS: One hundred five participants performed a defined intracorporeal suturing task in the pediatric laparoscopic surgery simulator armed with force-sensing capabilities. Participants were stratified into novice, intermediate, and expert groups via three classification schemes (1) number of complex laparoscopic cases, (2) self-declared level of expertise, and (3) average expert rating of participants' videos. Precision, time to task completion, and force analysis parameters (FAP = total, maximum and mean forces in three axes) were compared using one-way analysis of variance tests. P < .05 was considered significant. RESULTS: Participants stratified on the basis of case numbers and on the basis of self-declared level of expertise had statistically significant differences in time to task completion, but no significant difference in FAP. When participants were restratified according to expert assessment of their video performance, time to task completion as well as total and mean forces in X, Y, and Z axes allowed discrimination between novices, intermediates, and experts, thus establishing construct validity for the latter. Precision did not allow discrimination in any stratification scheme. CONCLUSION: Compared with traditional stratification, video assessment allows refined discrimination of psychomotor expertise within a simulator. Assessment of FAP may become a relevant tool for teaching and assessing laparoscopic skills.