Characterization by average group internship of the Facult of Medicine UNAM

Abstract

Introduction: In Mexico, medical undergraduate internship is a theoretical and practical academic cycle performed as part of the currículum of the medical degree. The selection of  hospital sites is made according to the averase marks of the students throughout their degree course, and is the only parameter for the choice of location. The objective of the study is to characterize the internship group locations, public or prívate institutions, according to this average, and their geographical remoteness from the UNAM Faculty of Medicine.

Method: A cross-sectional, retrospective, descriptive study was performed, using descriptive statistics to determine the mean. The comparison between the site means was performed using ANOVA and grouped into blocks. The comparison between the means of the institutions was performed using hierarchical linear models. The correlation between distance and mean  was calculated using the Pearson correlation coeficient.

Results: From a total of 810 students, 516 were female (63.7%) and 294 male (36.3%), distributed into 37 groups in different locations nationwide. The Iower group mean was 7.5 (SD O. 15), the largest group mean 9.2 (SD O. 18), the mean student selection was 7.2 the Iowest  and highest 9.7. No statistically significant differences were found between the means of the 4 blocks formed, nor were there any statistically significant differences between the means of the institution. The Pearson correlation coeficient between the most remote and the mean distance was O. 114 (Pc.001).

Conclusions: The Iowest mean per pupil was 7.2 and the highest 9.7. No statistically significant differences were found between the means of the 4 blocks formed, nor were there any  statistically significant differences between the means of the institution. The most remotemean correlation is Iow, suggesting that the mean is not as tied to the remoteness of the site.
This may have implications for the development of competence and quality of care, thus we believe that we must look for alternatives in the selection of sites.