2021
DOI: 10.1007/s00406-021-01239-x
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Two-stage mental health survey of first-line medical staff after ending COVID-19 epidemic assistance and isolation

Abstract: Facing with COVID-19 epidemic such a catastrophic health emergency, the mental health status of medical staff deserves attention. We conducted a two-stage of psychological status monitoring after the end of the assistance and 14 days of isolation, further targeted the vulnerable groups in need of intervention. The study is a cross-sectional survey on 1156 Yunnan medical staff aid to Hubei. Used Cluster sampling method to collect data at 2 time points (at the end of returning from Wuhan and the 14th day of isol… Show more

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Cited by 12 publications
(13 citation statements)
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“…Reducing damage to the mental health of medical staff caused by COVID-19 is one major challenge of the pandemic (Feng and Yin, 2021). However, research to date has primarily focused on assessing the psychological responses of the entire medical staff (Wang et al, 2020;Xu et al, 2021), with limited attention to primary healthcare workers.…”
Section: Introductionmentioning
confidence: 99%
“…Reducing damage to the mental health of medical staff caused by COVID-19 is one major challenge of the pandemic (Feng and Yin, 2021). However, research to date has primarily focused on assessing the psychological responses of the entire medical staff (Wang et al, 2020;Xu et al, 2021), with limited attention to primary healthcare workers.…”
Section: Introductionmentioning
confidence: 99%
“…Among these, cognitive changes, emotional disturbance, and behavioral disorders correspond to psychological disorders. Most of the existing studies focus on medical rescuers’ psychological disorders such as anxiety, depression, PTSD and sleep problems (Jiang et al., 2021; Xu et al., 2022). Some researchers have discovered that medical rescuers suffer from physical disorders such as fatigue and heart discomfort (Xie et al., 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Other found different results. In a study, female had a higher impaired sleep quality than male (P = 0.0001) [ 27 ]. Multivariate logistic analysis showed that male medical workers had higher odds of poor sleep quality (P = 0.04) [ 23 ].…”
Section: Discussionmentioning
confidence: 99%