A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa
Supervised machine learning models can accurately predict self-reported feelings of burnout or emotional exhaustion among nurses in South Africa from full survey data but not from demographic data alone. The models identified fatigue rating, confidence in management and management who listens to employees as the most important factors to address to prevent these issues among nurses in South Africa.
Authors
- Alwiena J. Blignaut (ORCID: https://orcid.org/0000-0002-0590-2148)
- Derya Demirtas (ORCID: https://orcid.org/0000-0003-4064-484X)
- Jacoba H. Bührmann (ORCID: https://orcid.org/0000-0003-0657-9933)
- Maria van Zyl-Cillié (ORCID: https://orcid.org/0000-0003-3320-706X)
- Siedine K. Coetzee (ORCID: https://orcid.org/0000-0002-6042-0926)
Institutions
- North-West University (ZA)
- University of Twente (NL)
Publication Details
- Journal
- BMC Health Services Research
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1186/s12913-024-12184-5
- Citations
- 9
- Primary Topic
- Healthcare professionals’ stress and burnout
- Type
- article
- Field-Weighted Citation Impact
- 7.64
Funders
- North-West University