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      Coping With COVID-19: Emergency Stress, Secondary Trauma and Self-Efficacy in Healthcare and Emergency Workers in Italy

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          Abstract

          Coping with the coronavirus disease (COVID-19) is a significant risk factor for the psychological distress of health workers. Hence, this study explores the relationship between coping strategies used by healthcare and emergency workers in Italy to manage the stress factors related to the COVID-19 emergency, which may result in the risk of developing secondary trauma. We study differences between healthcare ( n = 121) and emergency workers ( n = 89) in terms of their coping strategies, emergency stress, and secondary trauma, as well as the relationships of these differences to demographic variables and other stress factors (Instructions and Equipment). For this purpose, we collected data from participants through the following questionnaires online: Secondary Traumatic Stress Scale – Italian Version, The Coping Self-Efficacy Scale – Short Form, an original questionnaire on stressors, and the Emergency Stress Questionnaire (to assess organizational–relational, physical, decisional inefficacy, emotional, cognitive, and COVID-19 stress). We performed a t-test, correlational analysis, and hierarchical regression. The analyses reveal that compared with the emergency worker group, the health worker group has greater levels of emergency stress and arousal and is more willing to use problem-focused coping. Healthcare workers involved in the treatment of COVID-19 are exposed to a large degree of stress and could experience secondary trauma; hence, it is essential to plan prevention strategies for future pandemic situations. Moreover, individual efficacy in stopping negative emotions and thoughts could be a protective strategy against stress and secondary trauma.

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          Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

          Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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            The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China

            Background Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China. Material/Methods A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson’s correlation analysis and SEM identified the interactions between these factors. Results Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality. Conclusions SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.
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              Psychological Impact of the COVID-19 Pandemic on Health Care Workers in Singapore

              Background: In response to the coronavirus 2019 (COVID-19) pandemic, Singapore raised its Disease Outbreak Response System Condition alert to “orange,” the second highest level. Between 19 February and 13 March 2020, confirmed cases rose from 84 to 200 (34.2 per 1 000 000 population), with an increase in patients in critical condition from 4 to 11 (5.5%) and no reported deaths in Singapore (1). Understanding the psychological impact of the COVID-19 outbreak among health care workers is crucial in guiding policies and interventions to maintain their psychological well-being. Objective: We examined the psychological distress, depression, anxiety, and stress experienced by health care workers in Singapore in the midst of the outbreak, and compared these between medically and non–medically trained hospital personnel. Methods and Findings: From 19 February to 13 March 2020, health care workers from 2 major tertiary institutions in Singapore who were caring for patients with COVID-19 were invited to participate with a self-administered questionnaire. In addition to information on demographic characteristics and medical history (Table 1), the questionnaire included the validated Depression, Anxiety, and Stress Scales (DASS-21) and the Impact of Events Scale–Revised (IES-R) instrument (2, 3). Health care workers included “medical” (physicians, nurses) and “nonmedical” personnel (allied health professionals, pharmacists, technicians, administrators, clerical staff, and maintenance workers). The primary outcome was the prevalence of depression, stress, anxiety, and posttraumatic stress disorder (PTSD) among all health care workers (Table 2). Secondary outcomes were comparison of the prevalence of depression, anxiety, stress, and PTSD, and mean DASS-21 and IES-R scores between medical and nonmedical health care workers. The Pearson χ2 test and Student t test were used to compare categorical and continuous outcomes, respectively, between the 2 groups. Multivariable regression was used to adjust for the a priori defined confounders of age, sex, ethnicity, marital status, presence of comorbid conditions, and survey completion date. Table 1. Participant Characteristics at Baseline Table 2. Prevalence of Depression, Anxiety, Stress, and PTSD and Mean DASS-21 and IES-R Scores in Medical and Nonmedical Health Care Personnel (N = 470) Of 500 invited health care workers, 470 (94%) participated in the study; baseline characteristics are shown in Table 1. Sixty-eight (14.5%) participants screened positive for anxiety, 42 (8.9%) for depression, 31 (6.6%) for stress, and 36 (7.7%) for clinical concern of PTSD. The prevalence of anxiety was higher among nonmedical health care workers than medical personnel (20.7% versus 10.8%; adjusted prevalence ratio, 1.85 [95% CI, 1.15 to 2.99]; P = 0.011), after adjustment for age, sex, ethnicity, marital status, survey completion date, and presence of comorbid conditions. Similarly, higher mean DASS-21 anxiety and stress subscale scores and higher IES-R total and subscale scores were observed in nonmedical health care workers (Table 2). Discussion: Overall mean DASS-21 and IES-R scores among health care workers were lower than those in the published literature from previous disease outbreaks, such as the severe acute respiratory syndrome (SARS). A previous study in Singapore found higher IES scores among physicians and nurses during the SARS outbreak, and an almost 3 times higher prevalence of PTSD, than those in our study (4). This could be attributed to increased mental preparedness and stringent infection control measures after Singapore's SARS experience. Of note, nonmedical health care workers had higher prevalence of anxiety even after adjustment for possible confounders. Our findings are consistent with those of a recent COVID-19 study demonstrating that frontline nurses had significantly lower vicarious traumatization scores than non–frontline nurses and the general public (5). Reasons for this may include reduced accessibility to formal psychological support, less first-hand medical information on the outbreak, less intensive training on personal protective equipment and infection control measures. As the pandemic continues, important clinical and policy strategies are needed to support health care workers. Our study identified a vulnerable group susceptible to psychological distress. Educational interventions should target nonmedical health care workers to ensure understanding and use of infectious control measures. Psychological support could include counseling services and development of support systems among colleagues. Our study has limitations. First, data obtained from self-reported questionnaires were not verified with medical records. Second, the study did not assess socioeconomic status, which may be helpful in evaluating associations of outcomes and tailoring specific interventions. Finally, the study was performed early in the outbreak and only in Singapore, which may limit the generalizability of the findings. Follow-up studies could help assess for progression or even a potential rebound effect of psychological manifestations once the imminent threat of COVID-19 subsides. In conclusion, our study highlights that nonmedical health care personnel are at highest risk for psychological distress during the COVID-19 outbreak. Early psychological interventions targeting this vulnerable group may be beneficial.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                03 September 2020
                2020
                03 September 2020
                : 11
                : 566912
                Affiliations
                Department of Humanities, University of Urbino , Urbino, Italy
                Author notes

                Edited by: Andrew E. P. Mitchell, University of Chester, United Kingdom

                Reviewed by: Beth Milliard, York Regional Police, Canada; Atreyee Bhattacharyya, University of Haifa, Israel; Emanuele Maria Giusti, Catholic University of the Sacred Heart, Italy

                *Correspondence: Daniela Pajardi, daniela.pajardi@ 123456uniurb.it

                This article was submitted to Psychology for Clinical Settings, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2020.566912
                7494735
                33013603
                2d7c14f1-38fa-4bfc-a921-66d453a839b9
                Copyright © 2020 Vagni, Maiorano, Giostra and Pajardi.

                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.

                History
                : 29 May 2020
                : 13 August 2020
                Page count
                Figures: 0, Tables: 4, Equations: 0, References: 78, Pages: 12, Words: 0
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                covid-19,stress,secondary trauma,healthcare workers,self-efficacy,coping

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