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Burnout in emergency department staff: The prevalence and barriers to intervention
Reshen Naidoo1, Renata Schoeman1
1Faculty of Economics and Management Sciences, Stellenbosch Business School, Cape Town, South Africa.
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.
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