key: cord-0864365-0bhn0nvl
authors: Mosolova, E.; Chung, S.; Sosin, D.; Mosolov, S.
title: P.663 Stress and anxiety among healthcare workers during the coronavirus disease 2019 pandemic in Russia
date: 2020-11-17
journal: Eur Neuropsychopharmacol
DOI: 10.1016/j.euroneuro.2020.09.486
sha: 29c32b7146d4228bb18452f48a7877a256be8369
doc_id: 864365
cord_uid: 0bhn0nvl

nan

Background: Large group of healthcare workers were involved in the treatment of patients with the novel coronavirus disease 2019 (COVID-19) worldwide. Mental health of medical workers is now becoming an issue of increasing concern [1 , 2] , since previous epidemics have shown high levels of anxiety and stress in front-line healthcare professionals [3] . However, the available data on such symptoms among health care workers during the COVID-19 are relatively limited and have not been evaluated in Russia yet. Moreover, it is necessary to develop precise diagnostic criteria that can be implemented as effective screening instrument during the viral outbreak. Objective: To evaluate stress and anxiety symptoms among healthcare workers directly involved in the diagnosis and treatment of patients with COVID-19 during the outbreak in Russia; and to validate the Russian version of new Stress and Anxiety to Viral Epidemic scale (SAVE-9) [4] .

The study was a cross-sectional hospital-based anonymous on-line survey between May 12th and May 26 th , 2020 of 1,090 health care workers -548 physicians [50,2%] and 542 nurses [49,8%] practicing treatment of patients with COVID-19. Stress and anxiety symptoms were assessed using the Russian versions of SAVE-9 and Generalized Anxiety Disorder (GAD-7) scales [5] . Logistic regression, Kaiser-Meyer-Olkin two component factor model, Cronbach's alpha and ROC-analysis were performed to determine the influence of different variables, internal structure and consistency, sensitivity and specificity of SAVE-9 compared with GAD-7. Results: The median scores on the GAD-7 and SAVE-9 were 5 The component model (Kaiser-Meyer-Olkin adequacy criterion = 0.847, Barletts' sphericity criterion, p < 0.0001) revealed two-factor structure of SAVE-9: 1) "anxiety and somatic concern" included items 2,3,4,8 (EV = 3,497), 2) "social stress" -1,5,6,7,9 (EV = 1,096). The factor loading of each individual SAVE-9 scale item was greater than 0.5. The regression SAVE-9 model was reliable (-2Log likelihood ratio = 1935.2; p = 0.05). Female gender (OR -0.98, p = 0.035) and younger age (OR -0.65, p = 0.035) were associated with higher level of anxiety. The Cronbach's alpha was 0.787 that means good internal consistency. The total score of SAVE-9 with a high degree of confidence predicted the GAD-7 value in comparative ROC analysis. The appropriate cut-off score for SAVE-9 was determined as 18 (AUC = 0.808, sensitivity = 0.68 ∼0.73, specificity = 0.76 ∼0.8). Conclusions: Healthcare workers in Russia fighting with COVID-19 reported high rates of stress and anxiety similar to other countries and are in need in urgent supportive programs. The Russian version of the SAVE-9 displayed a good ratio of sensitivity to specificity compared with GAD-7 and can be recommended as a screening instrument for detection of stress and anxiety symptoms in health care workers during viral outbreak.

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