Occupational Risk Factors and Mental Health Among Frontline Health Care Workers in a Large US Metropolitan Area
Alison G Cahill1,2, Megan E Olshavsky3, D Jeffrey Newport1,4
1Department of Women's Health, University of Texas at Austin, Dell Medical School, Austin, Texas.
Abstract:
To assess depression, anxiety, and burnout among health care workers using well-established validated scales and to examine associations of these mental health outcomes with personal protective equipment (PPE) and high-risk patient contact.
Abstract:
This prospective survey was conducted between August and October 2020 among 970 essential health care workers from 2 health systems in central Texas. The survey captured basic demographic, occupational, and baseline health information including history of mental health disorders. Depression, anxiety, and burnout were assessed with the 8-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, and 23-item Burnout Assessment Tool. Questions about clinical contact with patients with suspected or known COVID-19 were also incorporated.
Abstract:
Approximately 24% of respondents had moderate or severe anxiety, 14% had moderate or severe depression, and 7% were at high risk for burnout. Statistically significant associations were found between perceived PPE adequacy and the 3 mental health outcomes, while accounting for age, gender, and education. Hours of contact with COVID-19 patients during aerosolizing procedures was positively correlated with measures of anxiety, burnout, and depression after adjustment for age, gender, and occupational role. Perception of PPE adequacy was inversely correlated with measures of depression, anxiety, and burnout among essential members of 2 health care systems, whose roles precluded working remotely during the pandemic.
Abstract:
This study highlights the correlations of perceptions of PPE adequacy and contact hours with COVID-19 patients undergoing aerosolizing procedures and employee mental well-being. Future work confirming the findings can help identify ways that systems can support their employees through similarly stressful and demanding events.
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