The Psychological Health Status of Healthcare Workers During the COVID-19 Outbreak: A Cross-Sectional Survey Study in Guangdong, China

Abstract

Background: The sudden outbreak of COVID-19 has caused mental stress on healthcare workers (HCW). This study aimed to assess their psychological health status at the peak of COVID-19 and to identify some coping strategies. Methods: A cross-sectional survey study was conducted during the outbreak of COVID-19. The survey was completed by 908/924 HCW (response rate 98.27%) in government-designated hospitals in Guangdong, China. A quality of life (QoL) scale, the Zung Self-Rating Anxiety Scale (SAS), and the Zung Self-Rating Depression Scale (SDS) were used to evaluate their psychological status. Logistic regression models were used to identify the occupational factors related to anxiety or depression. Results: A total of 221 (24.34%) respondents had varying levels of anxiety, and 299 (32.93%) of them had depression. The mean SAS (42.9) and SDS (47.8) scores of HCW indicated that they were in the normal range for both anxiety and depression. Contact with COVID-19 cases or suspected cases, worry about suffering from COVID-19, worry about their family, and dismission during the COVID-19 period were significant work-related contributing factors to the psychological health problems of HCW (all p<0.01). Conclusions: The overall psychological health status of HCW in Guangdong, China, during the outbreak of COVID-19 was not overly poor. Updating and strengthening training in disease information, the provision of adequate medical supplies, and care about the life and health of medical staff and their family members may reduce their mental stress.

Health care workers depression and associated factors during COVID-19. Health facility-based study in Eastern Ethiopia

“…With the ever-growing number of con rmed and suspected cases, the workload of HCWs has been overwhelming [4]. The long and irregular hours of such continuous and heavy volumes of work have the potential to trigger depression among HCWs [5][6][7][8]. Safety measures like lockdown and physical distancing recommended by the world health organizations to limit the spread of pandemics among the public, but health care workers (HCWs) are left exposed [9].…”

One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis

“…We also emailed the authors of 43 articles that missed critical information and were able to get the information to include 10 additional studies. Altogether, the process generated 131 articles for this meta-analysis (An et al, 2020; Ben-Ezra et al; Cai et al; Cao et al, 2020; Chen et al; Chen et al; Chen et al; Chen et al; Chen et al, 2020; Cheng et al; Choi et al; Dai, 2020; Dong et al, 2020; Du et al, 2020; Elhai et al, 2020; Fang et al, 2020; Feng et al, 2020; Fong et al, 2020; Fu et al, 2020; Gao, 2020; Guo et al, 2020; Guo, 2020; Han et al, 2020; Hong et al, 2020; Hou et al, 2020; Hu et al, 2020a; Hu et al, 2020b; Huang et al, 2020a; Huang et al, 2020c; Huang et al, 2020d; Jin et al, 2020; Juan et al, 2020; Lai et al, 2020; Lam et al, 2020; Lei et al, 2020; Leng et al, 2020; Li; Li et al, 2020a; Li et al, 2020b; Li et al, 2020c; Li, 2020a; Li et al, 2020d; Li et al, 2020e; Li, 2020b; Li et al, 2020f; Li et al, 2020g; Liang et al, 2020; Lin et al, 2020a; Lin et al, 2020b; Liu, 2020; Liu, in press; Liu et al, 2020a; Liu et al, 2020b; Liu et al, 2020c; Liu et al, 2020d; Liu et al, 2020e; Liu et al, 2020f; Lu et al, 2020a; Lu et al, 2020b; Lu et al, 2020c; Mi et al, 2020; Ni et al, 2020a; Ni et al, 2020b; Ning et al, 2020; Pan et al, 2020a; Pan et al, 2020b; Qi, 2020; Qian et al, 2020; Qian, 2020; Qiu et al, 2020; Que et al, 2020; Ren et al, 2020b; Shi et al, 2020; Si et al, 2020; Song et al, 2020; Song, 2020; Su et al, 2020; Sun et al, 2020a; Sun, 2020; Sun et al, 2020b; Sun et al, 2020c; Tan et al, 2020; Teng et al, 2020; Tu et al, 2020; Wang et al, 2020a;…”

Evaluating the Prevalence of Psychological Outcomes in Chinese Healthcare Workers During the COVID-19 Pandemic<strong> </strong>

“…The pooled prevalence of depression in a sample size of 50,274 HCWs was 33.7% (95% CI: 26.6-40.8, I 2 = 43.3%, p < 0.05). Data provided by all 20 included studies [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] allowed for the calculation of pooled and subgroup prevalence values, which are detailed in Table __. The prevalence of depression among good quality studies 1,2,5,9,10,12-17,19,20 was 32.9%, which was lower than that of medium quality studies 3,4,[6][7][8]11,18 at 35.9%.…”

“…Data provided by all 20 included studies [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] allowed for the calculation of pooled and subgroup prevalence values, which are detailed in Table __. The prevalence of depression among good quality studies 1,2,5,9,10,12-17,19,20 was 32.9%, which was lower than that of medium quality studies 3,4,[6][7][8]11,18 at 35.9%. The pooled prevalence of depression prior to the peak incidence of COVID-19 in China was 36.2% [1][2][3][4][5][6][7][8][9][10][11][12] as opposed to 31.8% [13][14][15][16][17][18][19][20] after the peak.…”

“…The pooled prevalence of depression prior to the peak incidence of COVID-19 in China was 36.2% [1][2][3][4][5][6][7][8][9][10][11][12] as opposed to 31.8% [13][14][15][16][17][18][19][20] after the peak. Five of the 20 studies were conducted in the Hubei province 2,12,15,17,20 and had a pooled prevalence of 28.9% compared to 34.3% in the 15 remaining studies conducted in other provinces 1,[3][4][5][6][7][8][9][10][11]13,14,16,18,19 . The pooled prevalence for the 10 studies that used the Patient Health Questionnaire was 36.9% 1,4-6,9,12,13,17-19 compared to 32.3% for the other 10 studies 2,3,7,8,10,11,14 -16,20 , which used a different tool.…”