Abstract

Aim. Measuring the dropout risk among the 1st degree students of the Nursing Department at the Faculty of Health Sciences at the Medical University of Warsaw (MUW). Materials and methods. 887 students (age average 20.0 ± 2.87; 90% women) who undertook full-time studies of the 1st degree at the Nursing Department at the Faculty of Health Sciences at MUW. A model on non-linear estimation for the function of logistic regression with the odds ratio (OR) estimated for each predictor was used in evaluating predictive factors that are of potential influence on the risk of attrition. Results. Three out of four socio-demographic factors significantly heightened the dropout risk: gender – male (OR = 3.035), Warsaw as a place of completing high school (OR = 1.598) and having passed the older type of the maturity exam (OR = 1.536). The following criteria of admission can be deemed as relevant predictors of failure: Polish language (OR = 1.021) and an additional subject (OR = 1.011) (two out of three). Conclusions. The results of the study show that the current admission criteria fail, particularly when it comes to admitting students with a potentially high risk of dropping out. It is necessary to monitor and register the reasons of dropping out / being removed from the list of students further, so as to assess the risk of attrition more adequately in the future.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call