Assessing predictors of students' academic performance in Ethiopian new medical schools: a concurrent mixed-method study

BACKGROUND: Since 2012 the Ethiopian Federal Ministry of Health and Education implemented a new medical curriculum in 13 institutions. The new curriculum introduced some questions on its admission policy: students can join with different educational backgrounds. Students' performance on qualifying exams and grade point average are lower than desired. Therefore, the aim of the study was to investigate what factors predict the academic performance of students in the New Medical Education Initiative in Ethiopia.

METHODS: A concurrent mixed method of survey and qualitative was used; for the survey, a structured self-administered questionnaire was distributed to students of four randomly selected medical schools from December 2018 to January 2019. The questionnaire includes questions about socio-demographic and educational background of participants. Multiple linear regression analysis was used in order to identify the factors associated with academic performance. In-depth interviews were conducted with 15 key informants to explore qualitatively.

RESULTS: In the multiple linear regressions, stress was associated with lower academic performance. Students with prior education in the field of health science outperformed students with other bachelors. The cumulative grade point average of the previous bachelor degree and the score on the entrance exam to join medicine also significantly predicted performance. Although some more variables are identified from the qualitative interviews, its findings supported the survey results.

CONCLUSIONS: Of the number of predictor variables analyzed in the model, only stress, prior educational degree, performance in the prior degree and entrance exam score were significantly correlated with the performance of students in their preclinical medical engagement.