[Empirical study of learning success among first-year students in health education]. / A tanulás sikerességének vizsgálata egészségügyi tanulmányokat folytató elsoéves hallgatók körében.

Introduction: Comprehensive predictors of first-year students' academic performance, including pre-university experience, can be found at both individual and infrastructural levels that can be measured and used to increase academic performance and contribute to student mental health. Aim: To study the characteristics of students who are beginning their studies in medical, dental, pharmacy and health care organization. Method: Analysis of a database obtained through questionnaire data among first-year Semmelweis University students (n = 550). Significant explanatory variables influencing student performance were determined by logistic regression. Results: Different faculties and prestige channels have different success factors and student needs, the fulfillment of which also serves the maintenance of student mental health. Two groups were defined: (i) factors independent of age (perseverance value, religious belief, WHO value of well-being, importance of sport, trust), (ii) faculty-specific factors (Faculties of Medicine and Dentistry: parental influence on learning; Faculty of Pharmaceutical Sciences: the importance of relationships is high; Faculty of Health Sciences: parental qualifications are decisive). Conclusion: At the start of a student's life, measurements can uncover factors that, if learned, can facilitate later successful studies, preventing early school leaving. During the course of studies, these features can be monitored continuously, so that the necessary interventions can be made to ensure student success. Orv Hetil. 2020; 161(4): 139-150.

[Dropout risk among medical students]. / Lemorzsolódási kockázat az orvostanhallgatók körében.

Introduction: From 2015, medical education has introduced a cost-reimbursement for medical students who do not reach the yearly rising weighted average. Aim: The authors examine the dropout behaviour of Hungarian medical students. Method: Analysis of the Higher Education Information System based on the database of those who started their medical studies in 2010 (n = 1046). Results: Early retardation of credit accumulation, the use of passive semesters are typical for dropouts. 83.6% of those who started their studies studied in state-funded education, with 9.4% dropouts among them, 50% among cost-reimbursement students. Multivariate analysis revealed the factors affecting dropout. Conclusion: The chances of dropping out are increased by the low credit number, the number of passive semesters, the cost-reimbursement financing form. A dormitory residence is safety net, the student can make social capital that can support the success of his studies. Orv Hetil. 2019; 160(21): 829-834.