Tools used to identify nursing students at risk of dropping out: a mixed-methods systematic review
Currently, when no tool seems to be superior to another, educators and administrators exploring possibilities to implement these tools need to consider and possibly compromise between predictive accuracy and thoroughness. Further studies are needed to determine the appropriate balance between the objective and subjective factors when developing a valid and reliable tool with the ability to predict either intention or actual dropout of nursing students.
Authors
- Leena Salminen (ORCID: https://orcid.org/0000-0002-9730-5331)
- Sanna Koskinen (ORCID: https://orcid.org/0000-0002-5886-3162)
- Emilia Kielo‐Viljamaa (ORCID: https://orcid.org/0000-0003-3931-1204)
- Camilla Strandell‐Laine (ORCID: https://orcid.org/0000-0002-8023-1428)
- Eliisa Löyttyniemi (ORCID: https://orcid.org/0000-0002-7278-6511)
- Heli Virtanen (ORCID: https://orcid.org/0000-0003-1801-549X)
- Tuuli Paija
Institutions
- Novia University of Applied Sciences (FI)
- University of Turku (FI)
- Turku University of Applied Sciences (FI)
- Turku University Hospital (FI)
Publication Details
- Journal
- Nurse Education Today
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1016/j.nedt.2025.106953
- Primary Topic
- Nursing education and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00