Skip to main content

ORIGINAL RESEARCH article

Front. Psychol., 09 March 2023
Sec. Psychology for Clinical Settings

An investigation of the psychological stress of medical staff in Shanghai shelter hospital during COVID-19

Yaqing ZhouYaqing Zhou1Aiming LiuAiming Liu1Zunguo Pu
Zunguo Pu1*Minlu ZhouMinlu Zhou2Hongsheng DingHongsheng Ding1Jia ZhouJia Zhou3
  • 1Department of Critical Care Medicine, Affiliated Hai'an Hospital of Nantong University, Nantong, Jiangsu, China
  • 2Department of General Surgery, Affiliated Hai'an Hospital of Nantong University, Nantong, Jiangsu, China
  • 3Department of Psychiatry, Affiliated Nantong Fourth People's Hospital, Nantong, Jiangsu, China

Objective: The purpose of this study was to assess the psychological status of medical workers from other locations who helped support the fight against COVID-19 in Shanghai and to provide a basis for psychological crisis intervention plans under designated emergencies.

Methods: While supporting the Shanghai Lingang Shelter Hospital, we investigated 1,097 medical staff from other cities working in the hospital. A questionnaire comprising the general information questionnaire, health questionnaire depression scale, generalized anxiety scale, insomnia severity index scale, and mental health self-assessment questionnaire was used.

Results: There were no statistically significant differences in the incidence rates of anxiety, depression, and sleep disorders among subjects of different genders, ages, and educational levels. There were statistically significant differences in the incidences of anxiety, depression, stress response, and sleep disturbance among subjects with different levels of worry about COVID-19.

Conclusion: During the COVID-19 pandemic, the Lingang Shelter Hospital team experienced more psychological pressure, suggesting that medical institutions should pay attention to the mental health of frontline medical workers during COVID-19 and prepare psychological intervention measures for team members.

1. Introduction

Health refers to a person’s physical, mental, and social well-being. The World Health Organization (WHO) proposes that health is not only the absence of disease in the body, but also includes good mental health and social adaptation (Fitzpatrick, 2010). According to this definition of health, mental health is an important component of health (Smith, 2014). However, in people’s daily lives and work, mental health is often overlooked, especially for medical workers. With a good psychological state in work and occupation, you are able to give full play to one’s abilities and living an efficient life (Ohrnberger et al., 2017).

Public health emergencies refer to major infectious epidemics, mass unexplained diseases, major food and occupational poisonings, and other events that seriously affect public health, and that occur suddenly and may cause serious damage to public health (Khan et al., 2018).

COVID-19 is an acute respiratory disease (Li et al., 2021a) which has affected people globally. At the onset of symptoms, patients develop fever, fatigue, a dry cough, and upper respiratory tract symptoms, such as nasal congestion and a runny nose (Ochani et al., 2021). As the disease progresses, patients are prone to dyspnea, acute respiratory distress syndrome, septic shock, metabolic acidosis, and coagulation dysfunction, and severe cases directly endanger their lives (Majumder and Minko, 2021). With variations of the virus, Omicron spreads faster, is more infectious, and is more widely spread than the earlier COVID-19 variants (Ren et al., 2022; Tian et al., 2022). Not only does this cause physical and mental distress at an individual level, but psychological stress in other groups can also lead to a variety of adverse factors (Killgore et al., 2020; Wang et al., 2020). In particular, frontline medical staff are required to be in close contact with patients with COVID-19 (Buysse, 2014; Sims et al., 2022) in order to treat them.

The psychological crisis intervention of the COVID-19 pandemic is not only aimed at confirmed patients, suspected patients, and quarantined personnel, but all medical staff, and some social organizations and groups also have a need for mental health intervention (Xiang et al., 2020) because they are also at risk of infection. They shoulder the responsibility for treating diseases and promoting patient recovery. During the pandemic, they faced special nursing environments and methods, and needed to wear professional protective equipment (PPE) in an environment fully exposed to the COVID-19 virus, which may have caused high levels of psychological stress, leading to sleep disturbance, anxiety, depression, and other negative emotions (Chen et al., 2005; Killgore et al., 2020). This study aimed to understand the psychological state and characteristics of frontline medical workers during the COVID-19 outbreak and to provide a basis for specifying psychological crisis intervention plans under major public safety events.

2. Related work

Depression is a mood disorder caused by the interaction of multiple factors, with clinical manifestations such as low mood, loss of interest, and corresponding cognitive and behavioral changes (Bonde, 2008). In severe cases, psychotic symptoms, such as hallucinations and delusions, may occur (Rakel, 1999). Depression tends to recur and repeated episodes tend to result in poor outcomes (Amore et al., 1995).

Globally, depression causes patients to lose more years of life than any other condition (Gherardi-Donato et al., 2015; Saxena et al., 2015). However, due to a lack of formal and effective treatment methods and mental health resources, most patients with depression are not effectively diagnosed and treated (Saxena et al., 2015). Anxiety is a kind of irritable mood caused by various factors, which contains the manifestations of sadness, tension, and fear, and is accompanied by symptoms of autonomic nervous dysfunction such as palpitations and frequent urination (Craske and Stein, 2016).

Depression and anxiety are common mood and neurotic disorders (Lee et al., 2016). Medical caregivers work in the clinical frontline for extended periods of time. Owing to the high workload, heavy tasks, and long working hours, an increasing number of caregivers feel frustrated and anxious at work (Liu Q. et al., 2020). Mental health problems associated with depression have received widespread attention (McLeod et al., 2016). Medical workers are in a tense work environment, and there is increased occupational pressure (Tan et al., 2020). The main sources of stress are work and family pressures (Wu et al., 2010). Medical workers are at an increased risk of psychological disorders, such as burnout syndrome and post-traumatic stress disorder, due to their stressful work environment. Among them, depression and anxiety have become some of the most prominent psychological problems (Michie and Williams, 2003; Cares et al., 2015; Johnson et al., 2017). Many studies have shown that medical workers have a higher incidence of depression and anxiety than the general population (Galbraith et al., 2014; Hernandez et al., 2016). A study at a hospital in Iran found that 45.4% of medical workers had mental disorders. The prevalence of anxiety and somatic symptoms was 43.2%, and that of other types of mental disorders was 34.5%. The prevalence rates of depression and social dysfunction were 11.2 and 79.5%, respectively. Moreover, shift work is significantly associated with anxiety, and marital status is significantly associated with depression and social dysfunction (Andrade et al., 2003). A study in South Korea showed that after adjusting for sociodemographic and health behavioral factors, medical workers who worked shifts had 1.519 times greater severity of depressive symptoms than those who worked regular shifts, and that among nurses working shifts, depression was 1.519 times higher. The prevalence is high (Lee et al., 2016). Roskoden et al. (2017) found that the mental health problems of medical workers with heavy workloads are mainly manifested in three aspects: nervousness, insomnia, anxiety and irritability, and low self-esteem. A 2017 study showed that the current state of occupational stress among healthcare workers cannot be ignored. The factors influencing occupational stress include work, individual, and psychological factors related to individuals (Clough et al., 2017). A study on depression and related factors among psychiatric nurses in Taiwan found that 12.8% of nurses had mild depression, 7.1% had moderate depression, and 7.8% had severe depression (Lin et al., 2010). These studies have shown that the psychological problems of medical workers are very serious.

Based on the above, it is obvious that the psychological status of medical workers is problematic. In addition, it has been exacerbated by COVID-19 which has increased their workload and this has gained the attention of the medical community. In addition, with the development and mutation of the virus, the Omicron strain spread faster and was more contagious than the original strain. This increased the risk of infection of frontline healthcare workers (Gómez-Ochoa et al., 2021). COVID-19 has made the original working environment more complicated and has aggravate the original psychological problems causing more pressure. At the height of COVID-19, medical workers who were quarantined, worked in COVID-19 Specialized Hospital, or had family or friends infected with COVID-19, had considerably more anxiety, depression, frustration, fear, and post-traumatic stress than others (Xiang et al., 2020). Liu S. et al. (2020) found that COVID-19 increased the negative emotions and physical symptoms of medical staff, leading to serious physical and mental discomfort. Studies also demonstrated that frontline medical workers suffered severe insomnia compared to non-frontline medical workers (Li et al., 2021b).

3. Research participants and methods

3.1. Participants

From April to May 2022, the participants included 1,097 medical staff from Shanghai Lingang Shelter Hospital, who were from Jiangsu Province’s medical team supporting Shanghai. The survey was registered with the China Clinical Trial Center with registration number ChiCTR1800020214.

3.2. Methods

An online questionnaire survey method was used using QR codes. The specific contents of the questionnaire were as follows:

1. General information such as sex, age, marital status, education level, exposure to COVID-19, concerns about COVID-19, and current health status.

2. The 9-item Patient Health Questionnaire (PHQ-9). The scale consists of nine items where each item is scored from 0 to 3 points, with the total score ranging from 0 to 27 points. A score of 0 means not at all, and a score of 3 means it occurs almost every day. Scoring criteria: 0–4 points for no depression; 5–9 points for mild depression; 10–14 points for moderate depression, and >15 points for severe depression. The effectiveness of the PHQ-9 in college students has been previously demonstrated (Levis et al., 2020).

3. Generalized Anxiety Disorder Scale (GAD-7). The scale consists of seven items, where each item is scored from 0–3, with the total score ranging from 0–21. A score of 0 means not at all, and a score of 3 means that it occurs almost every day. The scoring criteria: 0–4 points for no anxiety; 5–9 points for mild anxiety; 10–14 points for moderate anxiety, and >15 points for severe anxiety.

4. Insomnia Severity Index (ISI). A total of seven items were included, with a total score of 28 points, which was used to evaluate the severity of insomnia in the last month. Scoring criteria: 0–7 points, no insomnia; 8–14 points, subclinical insomnia; 15–21 points, moderate insomnia; 22–28 points, severe insomnia.

5. Mental Health Self-Assessment Questionnaire (Self-reporting questionnaires 20, SRQ-20). The scale has 20 items, and each item is scored on a two-point scale. Scoring standard: Nine points are the cut-off value, and less than eight points indicate no obvious stress response. A score greater than eight indicates a stress response that requires attention. The SRQ-20 guidebook published by the WHO comprehensively analyzes its validity and has a good predictive ability.

3.3. Statistical analysis

SPSS software (Version 23.0) was used for data analysis. Measurement data and count data are expressed as mean ± standard deviation and percentage, respectively.

4. Results

The number of valid participants in the questionnaire survey was 1,097, and the response rate was 100%. Participants included 19 males and 1,078 females. The age distribution ranged from 18 to 60 years, with an average age of 29.00 ± 5.88 years old. Details are presented in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Basic information of the medical workers included in the study.

Among medical workers who participated in the survey, 10.12% experienced stress reactions. The incidence of depressive symptoms was high, with moderate and severe depression accounting for 9.66% of the total. The proportion of people with moderate and severe anxiety was 3.46% and the proportion of people with moderate and severe insomnia was 2.83%. Details are presented in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Overall anxiety, depression, stress response and insomnia.

The results of the adjustment of depression in 1,097 medical workers during the previous 2 weeks (from the date of answering the questionnaire) showed that the highest incidence of depression-related manifestations was sleep disturbance, loss of pleasure, and lack of energy. Among them, the proportions of the above symptoms that existed more than half of the time in the previous 2 weeks reached 12.03, 10.48, and 10.12%, respectively. Details are presented in Table 3.

TABLE 3
www.frontiersin.org

Table 3. Items of the PHQ-9 scale.

Among anxiety-related manifestations, the highest proportions are worrying about various things, restlessness, and uncontrollable worry. Among them, the proportions of the above symptoms that existed more than half of the time in the previous 2 weeks were 6.29, 5.20, and 4.74%, respectively. Details are presented in Table 4.

TABLE 4
www.frontiersin.org

Table 4. Items of GAD-7 Scale.

Among the depression-related manifestations, the highest incidences were fatigue, difficulty in making decisions, feeling afraid, nervousness, worry, and poor sleep. The details are presented in Table 5.

TABLE 5
www.frontiersin.org

Table 5. Items of the SRQ-20 Scale.

Satisfaction with sleep was the lowest (26.16%), followed by difficulty falling asleep (42.94%), and the impact of sleep on daily functions (41.39%). Among them, 32.18, 12.76, and 9.30% of the above symptoms had moderate or greater severity in the previous 2 weeks, as shown in Table 6.

TABLE 6
www.frontiersin.org

Table 6. Items of the ISI scale (n = 1,097).

5. Discussion

Public health emergencies have become the focus of social attention in recent years, such as the “atypical pneumonia” in 2003 and the outbreak of Influenza A (H1N1) in 2009, which directly posed serious harm to public health. Medical workers directly respond to and handle public health emergencies, and studies have shown that in the event of public health emergencies, the emotional changes of medical staff are a process from stress with destructive or unpleasant experiences to excessive stress with constructive or exciting experiences. This change trend is of positive significance for alleviating or reducing the stress response. Two months after the outbreak of severe acute respiratory syndrome (SARS), a survey study on the psychological status of medical staff showed that under public health emergencies, the negative emotions of medical staff were widespread (Salari et al., 2020) and others studied the mental health status of nurses during the sudden SARS outbreak and found that there were significant differences in the depression and anxiety of nurses in different occupational environments. A retrospective study on the psychological state of medical staff during the outbreak of Influenza A by Goulia et al. (2010) and others found that the psychological abnormalities of high-risk medical staff were mainly mood disorders and sleep disorders, and the three symptoms with the highest abnormal incidence were anxiety (41.46%), depression (30.32%), and sleep (23.27%). Studies have found that caregivers at moderate risk have lower levels of mental health than caregivers at high and low risk, and are more likely to show stress and lower coping skills. When an individual faces a crisis, there are a series of psychosomatic reactions, which mainly manifest as physical, emotional, cognitive, and behavioral. Simultaneously, the crisis is self-limiting; generally, the acute phase is 6 weeks, and the result may be well-adapted or maladaptive, and the individual’s response to the crisis varies greatly, which is related to the individual’s cognition, interpretation, and social support of the event. The front-line medical workers need to be in close contact with a variety of patients clinically, face the risk of possible infection, and may also face pressures such as inexperience and incomprehension. In the event of an epidemic, special protection will lead to physical discomfort and inconvenience at work, work fatigue, and worry about family members, and a good psychological state is the premise to better help others.

Front-line medical staff supported by external resources were at the center of pathogen exposure and were very susceptible to virus infection, which could have placed a strain on psychological endurance. At the same time, they stayed away from their loved ones for long periods of time, leading to observable depressive symptoms. The possibility of medical personnel becoming infected might negatively impact the confidence of the general public, and factors such as the increasing number of confirmed diagnoses and deaths, and enforced isolation might lead to decreased mental health (Chen et al., 2022). Many clinical staff have been moved into new roles and may be managing acutely unwell patients using unfamiliar equipment. Stress caused by high patient mortality rates, shortstaffing, concerns about infecting oneself or family members, and changing guidance on PPE can add to work pressure. This has raised concerns regarding the potential impact on the mental health of pandemic responders (Chen et al., 2020; Greenberg et al., 2020). In addition, since COVID-19 is highly contagious, they worry that their PPE is not guaranteed (Juan et al., 2020).

This study highlights that under the new crown pneumonia epidemic, 10.12% of medical workers experienced stress reactions, mainly manifested as being easily fatigued, struggling to make decisions, poor sleep, easily frightened, and feeling unhappy. The stress response is related to the degree of worry about the new crown pneumonia epidemic. Among those who were very worried about the epidemic, 21.79% had a stress response. At the same time, 24.07% had mild anxiety, and 3.46% had moderate and severe anxiety, mainly manifested as worrying about various things, restlessness, and uncontrollable worry. During the epidemic, keep abreast of the development of the epidemic, master the latest protective measures, and appropriately train medical workers. Implementing professional knowledge training and joint psychological intervention programs for medical staff in public health emergencies can promote professional operation skills, improve coping and first aid capabilities, and enhance psychological resilience, which may help to improve psychological stress. Moderate anxiety is also a protective factor for mental health, which can remind people to increase their alertness and enhance their awareness of protection.

The results of this study show that under the new crown pneumonia epidemic, some medical workers have depression, 27.53% of them have mild depression, and 9.66% of them have moderate and severe depression, mainly manifested as sleep disturbance, loss of pleasure and difficulty in concentrating. This result may be due to the fact that they were still active on the front-line, and their tense working state made them temporarily inattentive to changes in their physical and psychological conditions and even prompted a psychological defense, and the fatigue caused by adverse psychological effects and mental symptoms may appear later (Chen et al., 2022). This finding is consistent with the conclusions of previous studies. Nickell et al. (2004) and other studies on the impact of the SARS outbreak on social psychology showed that ~20% of the people had depression, and the incidence rate of medical workers was 45%. During the COVID-19 pandemic, sleep disorders, difficulty falling asleep, difficulty maintaining sleep, and low satisfaction with sleep were primary complaints (Bhat and Chokroverty, 2022). Studies have shown that, due to COVID-19, negative emotions of medical workers are closely related to the stress of destructive or unpleasant experiences, and the purpose of stress management is to control various emotional reactions in the best state (Sun et al., 2020). Targeting the psychological needs of medical workers in emergencies, such as caring about life and family, etc., can ease their worries and reduce psychological pressure (Evanoff et al., 2020). Under the active control of the state, the pandemic is preventable and controllable. In the early stage of the outbreak, mild emotional symptoms and physical reactions were within the normal range, and with the control of the pandemic, the state of medical workers will improve. Since the outbreak of Ebola virus and Zika virus, the WHO has begun to focus on multidisciplinary and comprehensive interventions to maintain the physical and mental health of infected people, non-infected people, people involved in rescue, media personnel, and administrative personnel, and improve general health as much as possible. On the current basis, according to the “Guiding Principles for Emergency Psychological Crisis Intervention in the Pneumonia Epidemic of COVID-19” issued by the National Health and Medical Commission, it is necessary to further investigate and analyze the psychological state of the relevant personnel during the pandemic, and gradually establish a specific psychological crisis intervention. Simultaneously, it is necessary to acknowledge the possible stress and emotional reactions of medical workers under the outbreak of the pandemic, follow changes to psychological states under stress response, and actively respond.

Through this study, we found that when public health events occur, frontline medical workers will experience greater psychological pressure than usual, which provides a basis for formulating psychological crisis intervention plans for medical workers when public health events occur.

The focus of this study is mainly on two aspects. First, research that affects the mental health of medical workers needs to further expand the sample size to provide a theoretical basis for improving and intervening in the psychological status of front-line medical workers. Second, in the future, frontline medical workers with mental health problems should be followed-up on, and targeted help and support should be provided.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Medical Ethics Committee of Hai’an People’s Hospital is subordinate to Hai’an People’s Hospital. The patients/participants provided their written informed consent to participate in this study.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

The research is supported by Fund of Hai’an Hospital Affiliated to Nantong University (202204); Fund of Science and Technology Bureau of Nantong City, Jiangsu Province (JCZ2022122).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Amore, M., Ricci, M., and Giorgetti, G. (1995). Recurrent brief depression. Minerva Psichiatr. 36, 83–89.

PubMed Abstract | Google Scholar

Andrade, L., Caraveo-Anduaga, J., Berglund, P., Bijl, R. V., De Graaf, R., Vollebergh, W., et al. (2003). The epidemiology of major depressive episodes: results from the international consortium of psychiatric epidemiology (ICPE) surveys. Int. J. Methods Psychiatr. Res. 12, 3–21. doi: 10.1002/mpr.138

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhat, S., and Chokroverty, S. (2022). Sleep disorders and COVID-19. Sleep Med. 91, 253–261. doi: 10.1016/j.sleep.2021.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonde, J. (2008). Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup. Environ. Med. 65, 438–445. doi: 10.1136/oem.2007.038430

CrossRef Full Text | Google Scholar

Buysse, D. (2014). Sleep health: can we define it? Does it matter? Sleep 37, 9–17. doi: 10.5665/sleep.3298

PubMed Abstract | CrossRef Full Text | Google Scholar

Cares, A., Pace, E., Denious, J., and Crane, L. A. (2015). Substance use and mental illness among nurses: workplace warning signs and barriers to seeking assistance. Subst. Abus. 36, 59–66. doi: 10.1080/08897077.2014.933725

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, B., Li, Q., Zhang, H., Zhu, J. Y., Yang, X., Wu, Y. H., et al. (2022). The psychological impact of COVID-19 outbreak on medical staff and the general public. Curr. Psychol. 41, 5631–5639. doi: 10.1007/s12144-020-01109-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q., Liang, M., Li, Y., Guo, J., Fei, D., Wang, L., et al. (2020). Mental health care for medical staff in China during the COVID-19 outbreak. Lancet Psychiatry 7, e15–e16. doi: 10.1016/S2215-0366(20)30078-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C., Wu, H., Yang, P., and Yen, C. F. (2005). Psychological distress of nurses in Taiwan who worked during the outbreak of SARS. Psychiatr. Serv. 56, 76–79. doi: 10.1176/appi.ps.56.1.76

PubMed Abstract | CrossRef Full Text | Google Scholar

Clough, B., March, S., Chan, R., Casey, L. M., Phillips, R., and Ireland, M. J. (2017). Psychosocial interventions for managing occupational stress and burnout among medical doctors: a systematic review. Syst. Rev. 6:144. doi: 10.1186/s13643-017-0526-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Craske, M., and Stein, M. (2016). Anxiety. Lancet 388, 3048–3059. doi: 10.1016/s0140-6736(16)30381-6

CrossRef Full Text | Google Scholar

Evanoff, B., Strickland, J., Dale, A., Hayibor, L., Page, E., Duncan, J. G., et al. (2020). Work-related and personal factors associated with mental well-being during the COVID-19 response: survey of health care and other workers. J. Med. Internet Res. 22:e21366. doi: 10.2196/21366

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzpatrick, J. (2010). The World Health Organization and mental health. Arch. Psychiatr. Nurs. 24:1. doi: 10.1016/j.apnu.2009.10.002

CrossRef Full Text | Google Scholar

Galbraith, N., Brown, K., and Clifton, E. (2014). A survey of student nurses' attitudes toward help seeking for stress. Nurs. Forum 49, 171–181. doi: 10.1111/nuf.12066

PubMed Abstract | CrossRef Full Text | Google Scholar

Gherardi-Donato, E., Cardoso, L., Teixeira, C., Pereira Sde, S., and Reisdorfer, E. (2015). Association between depression and work stress in nursing professionals with technical education level. Rev. Lat. Am. Enfermagem 23, 733–740. doi: 10.1590/0104-1169.0069.2610

PubMed Abstract | CrossRef Full Text | Google Scholar

Gómez-Ochoa, S., Franco, O., Rojas, L., Raguindin, P. F., Roa-Díaz, Z. M., Wyssmann, B. M., et al. (2021). COVID-19 in health-care workers: a living systematic review and meta-analysis of prevalence, risk factors, clinical characteristics, and outcomes. Am. J. Epidemiol. 190, 161–175. doi: 10.1093/aje/kwaa191

PubMed Abstract | CrossRef Full Text | Google Scholar

Goulia, P., Mantas, C., Dimitroula, D., Mantis, D., and Hyphantis, T. (2010). General hospital staff worries, perceived sufficiency of information and associated psychological distress during the a/H1N1 influenza pandemic. BMC Infect. Dis. 10:322. doi: 10.1186/1471-2334-10-322

PubMed Abstract | CrossRef Full Text | Google Scholar

Greenberg, N., Docherty, M., Gnanapragasam, S., and Wessely, S. (2020). Managing mental health challenges faced by healthcare workers during covid-19 pandemic. BMJ (Clin. Res. ed.). 368:m1211. doi: 10.1136/bmj.m1211

CrossRef Full Text | Google Scholar

Hernandez, S., Morgan, B., and Parshall, M. (2016). Resilience, stress, stigma, and barriers to mental healthcare in U.S. Air Force Nursing Personnel. Nurs. Res. 65, 481–486. doi: 10.1097/nnr.0000000000000182

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, J., Louch, G., Dunning, A., Johnson, O., Grange, A., Reynolds, C., et al. (2017). Burnout mediates the association between depression and patient safety perceptions: a cross-sectional study in hospital nurses. J. Adv. Nurs. 73, 1667–1680. doi: 10.1111/jan.13251

PubMed Abstract | CrossRef Full Text | Google Scholar

Juan, Y., Yuanyuan, C., Qiuxiang, Y., Cong, L., Xiaofeng, L., Yundong, Z., et al. (2020). Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China. Compr. Psychiatry 103:152198. doi: 10.1016/j.comppsych.2020.152198

PubMed Abstract | CrossRef Full Text | Google Scholar

Khan, Y., O'Sullivan, T., Brown, A., Tracey, S., Gibson, J., Généreux, M., et al. (2018). Public health emergency preparedness: a framework to promote resilience. BMC Public Health 18:1344. doi: 10.1186/s12889-018-6250-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Killgore, W., Cloonan, S., Taylor, E., and Dailey, N. S. (2020). Loneliness: a signature mental health concern in the era of COVID-19. Psychiatry Res. 290:113117. doi: 10.1016/j.psychres.2020.113117

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H., Kim, M., Kim, O., Lee, I. H., and Kim, H. K. (2016). Association between shift work and severity of depressive symptoms among female nurses: the Korea Nurses' health study. J. Nurs. Manag. 24, 192–200. doi: 10.1111/jonm.12298

PubMed Abstract | CrossRef Full Text | Google Scholar

Levis, B., Sun, Y., He, C., Wu, Y., Krishnan, A., Bhandari, P. M., et al. (2020). Accuracy of the PHQ-2 alone and in combination with the PHQ-9 for screening to detect major depression: systematic review and meta-analysis. JAMA 323, 2290–2300. doi: 10.1001/jama.2020.6504

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Huang, D., Zou, B., Yang, H., Hui, W. Z., Rui, F., et al. (2021a). Epidemiology of COVID-19: a systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes. J. Med. Virol. 93, 1449–1458. doi: 10.1002/jmv.26424

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Su, Q., Li, X., Peng, Y., and Liu, Y. (2021b). COVID-19 negatively impacts on psychological and somatic status in frontline nurses. J. Affect. Disord. 294, 279–285. doi: 10.1016/j.jad.2021.07.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, H., Probst, J., and Hsu, Y. (2010). Depression among female psychiatric nurses in southern Taiwan: main and moderating effects of job stress, coping behaviour and social support. J. Clin. Nurs. 19, 2342–2354. doi: 10.1111/j.1365-2702.2010.03216.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, S., Liu, Y., and Liu, Y. (2020). Somatic symptoms and concern regarding COVID-19 among Chinese college and primary school students: a cross-sectional survey. Psychiatry Res. 289:113070. doi: 10.1016/j.psychres.2020.113070

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Q., Luo, D., Haase, J., Guo, Q., Wang, X. Q., Liu, S., et al. (2020). The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study. Lancet Glob. Health 8, e790–e798. doi: 10.1016/s2214-109x(20)30204-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Majumder, J., and Minko, T. (2021). Recent developments on therapeutic and diagnostic approaches for COVID-19. AAPS J. 23:14. doi: 10.1208/s12248-020-00532-2

PubMed Abstract | CrossRef Full Text | Google Scholar

McLeod, G., Horwood, L., and Fergusson, D. (2016). Adolescent depression, adult mental health and psychosocial outcomes at 30 and 35 years. Psychol. Med. 46, 1401–1412. doi: 10.1017/s0033291715002950

PubMed Abstract | CrossRef Full Text | Google Scholar

Michie, S., and Williams, S. (2003). Reducing work related psychological ill health and sickness absence: a systematic literature review. Occup. Environ. Med. 60, 3–9. doi: 10.1136/oem.60.1.3

PubMed Abstract | CrossRef Full Text | Google Scholar

Nickell, L., Crighton, E., Tracy, C., al-Enazy, H., Bolaji, Y., Hanjrah, S., et al. (2004). Psychosocial effects of SARS on hospital staff: survey of a large tertiary care institution. CMAJ 170, 793–798. doi: 10.1503/cmaj.1031077

PubMed Abstract | CrossRef Full Text | Google Scholar

Ochani, R., Asad, A., Yasmin, F., Shaikh, S., Khalid, H., Batra, S., et al. (2021). COVID-19 pandemic: from origins to outcomes. A comprehensive review of viral pathogenesis, clinical manifestations, diagnostic evaluation, and management. Infez. Med. 29, 20–36.

PubMed Abstract | Google Scholar

Ohrnberger, J., Fichera, E., and Sutton, M. (2017). The relationship between physical and mental health: a mediation analysis. Soc. Sci. Med. 195, 42–49. doi: 10.1016/j.socscimed.2017.11.008

CrossRef Full Text | Google Scholar

Rakel, R. (1999). Depression. Prim. Care 26, 211–224. doi: 10.1016/s0095-4543(08)70003-4

CrossRef Full Text | Google Scholar

Ren, S., Wang, W., Gao, R., and Zhou, A. M. (2022). Omicron variant (B.1.1.529) of SARS-CoV-2: mutation, infectivity, transmission, and vaccine resistance. World J. Clin. Cases 10, 1–11. doi: 10.12998/wjcc.v10.i1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Roskoden, F., Krüger, J., Vogt, L., Gärtner, S., Hannich, H. J., Steveling, A., et al. (2017). Physical activity, energy expenditure, nutritional habits, quality of sleep and stress levels in shift-working health care personnel. PLoS One 12:e0169983. doi: 10.1371/journal.pone.0169983

PubMed Abstract | CrossRef Full Text | Google Scholar

Salari, N., Khazaie, H., Hosseinian-Far, A., Khaledi-Paveh, B., Kazeminia, M., Mohammadi, M., et al. (2020). The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression. Hum. Resour. Health 18:100. doi: 10.1186/s12960-020-00544-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Saxena, S., Funk, M., and Chisholm, D. (2015). Comprehensive mental health action plan 2013-2020. East. Mediterr. Health J. 21, 461–463.

PubMed Abstract | Google Scholar

Sims, H., Alvarez, C., Grant, K., Walczak, J., Cooper, L. A., and Ibe, C. A. (2022). Frontline healthcare workers experiences and challenges with in-person and remote work during the COVID-19 pandemic: a qualitative study. Front. Public Health 10:983414. doi: 10.3389/fpubh.2022.983414

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, K. (2014). Mental health: a world of depression. Nature 515, 180–181. doi: 10.1038/515180a

CrossRef Full Text | Google Scholar

Sun, N., Wei, L., Shi, S., Jiao, D., Song, R., Ma, L., et al. (2020). A qualitative study on the psychological experience of caregivers of COVID-19 patients. Am. J. Infect. Control 48, 592–598. doi: 10.1016/j.ajic.2020.03.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, W., Hao, F., McIntyre, R., Jiang, L., Jiang, X., Zhang, L., et al. (2020). Is returning to work during the COVID-19 pandemic stressful? A study on immediate mental health status and psychoneuroimmunity prevention measures of Chinese workforce. Brain Behav. Immun. 87, 84–92. doi: 10.1016/j.bbi.2020.04.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, D., Sun, Y., Xu, H., and Ye, Q. (2022). The emergence and epidemic characteristics of the highly mutated SARS-CoV-2 omicron variant. J. Med. Virol. 94, 2376–2383. doi: 10.1002/jmv.27643

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C., Horby, P., Hayden, F., and Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. Lancet 395, 470–473. doi: 10.1016/s0140-6736(20)30185-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, S., Li, H., Zhu, W., LI, J., and Wang, X. (2010). A structural equation model relating work stress, coping resource, and quality of life among Chinese medical professionals. Am. J. Ind. Med. 53, 1170–1176. doi: 10.1002/ajim.20864

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, Y., Yang, Y., Li, W., Zhang, L., Zhang, Q., Cheung, T., et al. (2020). Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry 7, 228–229. doi: 10.1016/s2215-0366(20)30046-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, medical workers, mental health, stress, intervention

Citation: Zhou Y, Liu A, Pu Z, Zhou M, Ding H and Zhou J (2023) An investigation of the psychological stress of medical staff in Shanghai shelter hospital during COVID-19. Front. Psychol. 14:1083793. doi: 10.3389/fpsyg.2023.1083793

Received: 29 October 2022; Accepted: 20 February 2023;
Published: 09 March 2023.

Edited by:

Gianluca Castelnuovo, Catholic University of the Sacred Heart, Italy

Reviewed by:

Yonggui Yuan, Southeast University, China
Jijun Li, Nanjing Brain Hospital Affiliated to Nanjing Medical University, China

Copyright © 2023 Zhou, Liu, Pu, Zhou, Ding and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zunguo Pu, pzgsci@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.