Alexander Beulens

117 Structured robot-assisted surgery training curriculum for residents in Urology and impact on future surgical activity Questionnaires used during the advanced course Prior to the training program, all participants were asked to complete an online pre-training questionnaire (table 2). After 6 and 12 months additional online follow-up questionnaires (table 3) were sent to the participants to gain insight about the RAS exposure of the participants. The questionnaires were sent automatically by the self-service function of the Data Management module developed by Research Manager The questionnaires were developed by a group of urologists all questionnaires were validated using face validity by a panel of experts in the field of surgical robotics. Data analysis Descriptive statistics were calculated for all available variables. Population sample size was determined by the logistical and financial aspects of the training provided as well as the number of eligible Dutch and Belgian residents. Mean and standard deviation or median and interquartile range were reported for continuous variables as indicated, depending on the distribution of the variables. Frequencies and proportions were used to describe categorical variables. The Wilcoxon signed-rank test (in case of non-normal distributed data) or a two-sided t-test for paired samples (in case of normal distributed data) was used to compare differences in results between the pre and post measurements of the Simulation-based performance scores. Linear regression analysis was performed in order to investigate the relations between the skills simulation scores and post training surgery exposure. Statistical significance will be set at p <.05 based on a two-tailed comparison. Statistical analysis was performed with SPSS software v. 24 (SPSS Inc., Chicago, IL, USA)