Effect of data self-collection as an activating teaching method in a statistical software course in medical biometry – a pilot study

Background: Biostatistics is an integral part of the studies of human medicine. Students learn the basics of analyzing and interpreting study results. It is important to demonstrate the subject’s relevance by means of appropriate measures to maximize learning success. We investigated whether an active involvement of students in the process of data collection may improve test performance and motivation among medical students. Methods: We conducted a pilot study comparing active involvement of students (n1=45) in the process of data collection and standard education (n2=26). All students of this pilot study participated in an observational study assessing their preferences regarding sweets or salty munchies, and students of the experimental group subsequently used this data set during the exercises throughout the semester. Primary and secondary endpoints were examination success and motivation respectively. Results: Superiority of the activating teaching method could not be demonstrated (intervention: 109.0 points (SD 8.8), control: 113.8 points (SD 6.5)). The course ratings were superior in the intervention group (median grade 1 vs. median grade 2 in the control group), although this was not a significant improvement (p=0.487). Conclusions: Biostatistics education should incorporate approaches contributing to a better understanding of learning contents. Possible reasons why this pilot study failed to prove superiority of the intervention were a lack of sample size as well as the good grades in the control group. The presented teaching concept has to be evaluated by means of a larger sample enabling more valid conclusions. Furthermore, the considered research question in the experimental group may be changed to a more relevant one for medical practice.