Background: Burnout impacts patient care and staff well-being. Emergency department (ED) staff are at an elevated risk for burnout. Despite an acceleration in burnout research due to the coronavirus disease 2019 (COVID-19) pandemic, there is limited data on the nature and prevalence of burnout in the South African emergency medicine setting.
Aim: This study determined the prevalence of burnout in ED staff (doctors, nurses and non-clinical staff) at Tygerberg Hospital and explored staff awareness and utilisation of interventions.
Setting: The study was conducted at Tygerberg Hospital, South Africa.
Methods: This cross-sectional study used the Maslach Burnout Inventory to assess burnout via a self-administered electronic survey in a convenience sample of 109 ED staff. Quantitative data were analysed with descriptive and inferential statistics. Qualitative data were analysed using thematic analysis.
Results: A total of 46 participants (45.10%) experienced burnout, with 73 participants (71.57%) at high risk for emotional exhaustion or depersonalisation. The prevalence of burnout in doctors was 57.89%, non-clinical staff was 25.93%, and nursing staff was 50.00%. Burnout was higher in doctors and nursing staff compared to non-clinical staff, with high emotional exhaustion and depersonalisation found in interns and specialist professional nurses. The level of intervention awareness was 41.8% and the level of intervention utilisation was 8.82%. Thematic analysis identified awareness, accessibility and reactive utilisation as barriers to utilisation with opportunities to reduce burnout and enhance resilience.
Conclusion: Coordinated health system and organisational efforts are required to optimise intervention strategies to reduce burnout.
Contribution: Guidance on the design and planning of intervention strategies considering at risk groups, intervention-related factors, and non-clinical staff.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623583 | PMC |
http://dx.doi.org/10.4102/sajpsychiatry.v29i0.2095 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!