Education Clinical Trial
Official title:
ANALYSIS OF THE IMPACT ON THE MICRO SURGICAL TECHNIQUE IN RESIDENTS AFTER A THEORETICAL-PRACTICAL COURSE OF MICROSURGERY: A SINGLE GROUP STUDY
A single group study will be carried out in the Microsurgery Laboratory, Neurosurgery Department, Hospital de Clínicas, and the Center for Microsurgical Skills of the Argentine Association of Neurosurgery. The objective of the study is to evaluate the effect of theoretical-practical course learning in neurosurgery and plastic surgery residents.
Introduction: In the second half of the 20th century, the use of the surgical microscope became popular in neurosurgery. In the last twenty years, simulation has gained worldwide acceptance as a teaching tool in medicine, especially microsurgery. For this, various training models have been created. Objective: To evaluate the effect of the theoretical-practical course learning in neurosurgery and plastic surgery residents. Materials and methods: A single group study will be carried out in the Microsurgery Laboratory, Neurosurgery Department, Hospital de Clínicas, and the Center for Microsurgical Skills of the Argentine Association of Neurosurgery. Medical doctors of both genders will be included in the first three years of neurosurgical or plastic surgery training from any center in Argentina. The course will be theoretical-practical, lasting eight hours, divided into two meetings with a theoretical class and practical microsurgery exercises. It will be supervised by teachers microsurgery experienced. An Initial and final evaluation will be carried out and the scores obtained between both theoretical and practical evaluations will be compared. In the practical evaluations, the time and the SMART scale will be analyzed. Categorical variables will be reported as absolute and relative numbers. The normality of the data will be verified by the Kolmogorov-Smirnov test. Continuous variables will be reported as mean and standard deviations or median and interquartile ranges. Student's t test, Mann-Whitney U test will be used to compare means, when appropriate, according to the distribution of variables. The categorical variables will be compared with the χ2 test. ;
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