Predictors of healthcare worker burnout during the COVID-19 pandemic
Abstract
Objective
We aim to provide a ‘snapshot’ of the levels of burnout, anxiety, depression and distress among healthcare workers during the COVID-19 pandemic.
Design, setting, participants
We distributed an online survey via social media in June 2020 that was open to any UK healthcare worker. The primary outcome measure was symptoms of burnout as measured using the Copenhagen Burnout Inventory (CBI). Secondary outcomes of depression, anxiety and distress as measured using the Patient Health Questionnaire-9, General Anxiety Scale-7, and Impact of Events Scale-Revised were recorded along with subjective measures of stress. Multivariate logistic regression analysis was performed to identify factors associated with burnout, depression, anxiety and distress.
Results
Of 539 persons responding to the survey, 90% were female, and 26% were aged 41-50 years, 53% were nurses. Participants with moderate-to-severe burnout were younger (49% [206/424] versus 33% [38/115] under 40 years, P=0.004), and more likely to have pre-existing comorbidities (21% versus 12%, P=0.031). They were twice as likely to have been redeployed from their usual role (22% versus 11%; adjusted odds ratio [OR] 2.2, 95% confidence interval [CI] 1.5-3.3, P=0.042), or to work in an area dedicated to COVID-19 patients (50% versus 32%, adjusted OR 1.6, 95% CI 1.4-1.8, P<0.001), and were almost 4-times more likely to have previous depression (24% versus 7%; adjusted OR 3.6, 95% CI 2.2-5.9, P=0.012). A supportive workplace team and male sex protected against burnout reducing the odds by 40% (adjusted OR 0.6, 95% CI 0.5-0.7, P<0.001) and 70% (adjusted OR 0.3, 95% CI 0.2-0.5, P=0.003), respectively.
Conclusion
Independent predictors of burnout were younger staff, redeployment to a new working area, working with patients with confirmed COVID-19 infection, and being female or having a previous history of depression. Evaluation of existing psychological support interventions is required with targeted approaches to ensure support is available to those most at risk.
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