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Individual and work factors associated with psychosocial health of registered nurses during the COVID-19 pandemic: A mixed methods study
Abstract

OBJECTIVE: To describe the initial influence of the Covid-19 pandemic on U.S. nurses’ psychosocial health, and to identify factors associated with poor psychosocial health outcomes.

METHODS: We conducted a convergent (QUAN+qual) mixed methods study. From June to August 2020, we administered surveys (N = 629) and conducted semi-structured interviews (N = 34) among nurses working across healthcare settings in 18 states. We developed separate multivariable logistic regression models for three psychosocial outcomes (anxiety, depressive symptoms, insomnia). We used content analysis to process and analyze qualitative data, and integrated results in the final analysis step.

RESULTS: Nurses reported high rates of depressive symptoms (22%), anxiety (52%), and insomnia (55%). Disturbances to sleep were both a contributing factor to, and an outcome of, poor psychosocial health.

CONCLUSIONS: Evidence-based interventions addressing work stress and sleep, and proactive monitoring of nurses’ psychosocial health by employers are urgently needed.

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Full citation:
Stimpfel AW, Ghazal L, Goldsamt LA, Dickson VV (2022).
Individual and work factors associated with psychosocial health of registered nurses during the COVID-19 pandemic: A mixed methods study
Journal of Occupational and Environmental Medicine, 64 (6), 515-524. doi: 10.1097/JOM.0000000000002495.