Statistical Analysis
Descriptive statistics were performed for normally-distributed data
using mean ± SD, for non-normally distributed and Likert scale data
using median and interquartile range, and for count data using
frequencies and percentages. A total questionnaire score out of 270 was
calculated by summing the responses of all the 54 anatomical structure
questions.
Within-subjects t-test was used to compare differences in total
questionnaire scores between resident doctors based on gender, formal
surgical anatomy lectures or workshops attended during residency
training, and the number of surgical procedures they attended or
performed every month.
One-way analysis of variance (ANOVA) was used to compare differences in
total questionnaire scores between residents based on the year of the
residency, their rating of the value of medical school anatomy courses
relevant to their current training in O&G, and receiving demonstration
of anatomical structures from senior colleagues during surgical
procedures. In case of significant differences, pot-hoc pairwise
comparisons with Bonferroni corrections were done.
To compare the ability of residents to identify anatomical structures
across the different years of the residency, a Kruskal-Wallis test was
done with post-hoc pairwise comparisons in case of significant
differences.
The level of significance was set at α < 0.05. Data were
analyzed using SPSS for Windows (Version 22, SPSS Inc., Chicago,
Illinois).