Research on psychological stress and mental health of medical staff in COVID-19 prevention and control

Predictive factors of occupational stress among nurses during the COVID-19 pandemic: a cross-sectional study in Kashan, Iran

BACKGROUND

Considering the severe and sudden changes in the job conditions of nurses during the covid-19 pandemic, the increase in job tensions during this critical period and its consequences on the quantity and quality of nursing care, this study aims to investigate the job stress of nurses during the covid-19 pandemic and its predictors in Iran.

METHODS

This cross-sectional study was conducted on 400 nurses in 'Kashan', Iran, who were randomly selected using stratified sampling. Data were collected using two questionnaires on occupational stress and potential related factors. The data were analyzed in SPSS version 16.

RESULTS

The results showed that the occupational stress of nurses in Iran was at a medium to high level with a mean and standard deviation of 103.773 ± 15.742 (scale of 34-136). Factors such as satisfaction with physical health, quality of work life, satisfaction with the availability of facilities, sense of coherence, education level, work experience, job burnout, male gender, being native, and workplace were predictors of occupational stress and explained 23.3% of the variance in occupational stress score. The highest contribution was related to satisfaction with physical health.

CONCLUSION

Considering the consequences of occupational stress for nurses, it is crucial for health and nursing authorities to take these factors into consideration in policy-making and planning.

Thought Believability and Anxious Feelings about COVID-19: A Case-Control Study in Northeastern Iran

Background

Believability and thoughts are considered as the pillars of behaviors over time, and anxious feelings are a risk factor for mental disorders, especially during the coronavirus disease (COVID-19) pandemic. This study aimed to explore the thought believability and anxious feelings of COVID-19 among infected and healthy families.

Methods

In this hospital-based matched case-control study, health surveillance files of COVID-19 patients were collected from January to June 2021 and were analyzed statistically. In this study, two questionnaires of demographic characteristics and the Believability of Anxious Feelings and Thoughts (BAFT) were used. Data were analyzed using the One-way ANOVA.

Results

Of 600 participants, 300 (50%) were PCR-confirmed and 300 (50%) were non-infected. Overall, 163 (54.33%) of infected people were male, 146 (48.67%) single, and 156 (52.00%) government employees. The results showed that the mean scores of physical anxiety (PA) and negative evaluation (NE) in the case group is significantly higher than the control group (P = 0.001); while emotional regulation (ER) in the control group was significantly higher than the case group (P = 0.001).

Conclusion

Having high believability to the risks of COVID-19 may be a predictor of preventive behaviors in individuals. Worrying about COVID-19 can increase the perceived risk of a pandemic in societies and consequence, increase the general public health.

Application of Stress and Anxiety to Viral Epidemics-6 to Measure the Anxiety Response of Cold Chain Practitioners During the COVID-19 Post-Pandemic Era in China

OBJECTIVE

This study explored the psychometric properties of the Chinese version of the Stress and Anxiety to Viral Epidemics-6 Items (SAVE-6) scale for cold chain practitioners exposed to moderate-to-high risk of infection.

METHODS

A total of 233 cold chain practitioners participated in an anonymous online survey, conducted from October to November 2021. The questionnaire comprised participant demographic characteristics, the Chinese version of SAVE-6, the Generalized Anxiety Disorders-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9) scales.

RESULTS

Based on the results of the parallel analysis, the single-structure model of the Chinese version of SAVE-6 was adopted. The scale showed satisfactory internal consistency (Cronbach's alpha=0.930) and good convergent validity based on Spearman's correlation coefficient with the GAD-7 (rho=0.616, p<0.001) and PHQ-9 (rho=0.540, p<0.001) scale scores. The optimal cutoff score for Chinese Stress and Anxiety to Viral Epidemics-9 Items was identified as ≥12 (area under the curve=0.797, Sensitivity=0.76, Specificity=0.66) for cold chain practitioners.

CONCLUSION

The Chinese version of the SAVE-6 scale has good psychometric properties and can be applied as a reliable and valid rating scale to assess the anxiety response of cold chain practitioners in the post-pandemic era.

Pandemic publishing: A bibliometric review of COVID-19 research in the crisis and disaster literature

Iconic events have traditionally instigated progression in the fields of crisis and disaster science. In the wake of the COVID-19 pandemic, the pressing question is how this global health emergency impacted the research agendas of our field. We reviewed contributions in ten important crisis and disaster journals in the two and a half years following the COVID-19 outbreak from 1 January 2020 to 30 June 2022. Specifically, we conducted a bibliometric review using thematic mapping analysis to distill the major themes covered by the emerging COVID-19 literature within crisis and disaster science (N = 239 articles). Our results indicate that several well-known topics are applied to the COVID-19 pandemic, such as risk, crisis communication, governance, resilience and vulnerability. The pandemic also gave rise to new topics, such as citizen behavior, state power, and the business and mental health impact of crisis measures. Several studies are already looking ahead by identifying lessons for preparedness and mitigation of future pandemics. By taking stock of the surge of COVID-19 studies while this academic literature is still taking shape, this review sets the stage for future contributions to the crisis and disaster literatures. It provides valuable lessons for what topics are studied and what themes need more attention. The COVID-19 pandemic is destined to become an iconic event for our literature that not only strengthens and deepens existing debates, but also clearly offers the opportunity to draw in new perspectives and broaden the horizon of crisis and disaster science.

Quality of working life of medical doctors and associated risk factors: a cross-sectional survey in public hospitals in China

OBJECTIVES

To assess the quality of working life (QWL) of medical doctors and associated risk factors.

SETTING AND PARTICIPANTS

A cross-sectional questionnaire survey of 2915 medical doctors from 48 hospitals was conducted in China.

METHODS

The QWL-7-32 scale was adopted to assess seven domains of QWL: physical health, mental health, job and career satisfaction, work passion and initiative, professional pride, professional competence, and balance between work and family.

PRIMARY AND SECONDARY OUTCOME MEASURES

Data were analysed using SPSS V.19.0. Analysis of variance tests and multivariate linear regression analyses were performed to identify the sociodemographic characteristics and job factors associated with overall QWL and its seven subdomain scores.

RESULTS

On average, the respondents reported an overall QWL score of 92.51 (SD=17.74) of a possible 160. Over 35% of respondents reported more than 60 hours of weekly working time; 59.9% experienced night sleep deprivation frequently; 16.6% encountered workplace violence frequently. The multivariate regression models revealed that the eastern region (β≤-2.887 for non-eastern regions, p<0.001), shorter working hours (β≤-2.638 for over 40 hours a week, p<0.01), less frequent night sleep deprivation (β≤-5.366 for sometimes or frequent, p<0.001), higher income (β≥2.795 for lower income, p<0.001) and less frequent encounters of workplace violence (β≤-9.267 for sometimes or frequent, p<0.001) were significant predictors of higher QWL. Night sleep deprivation and workplace violence were common predictors (p<0.05) for all seven domains of QWL.

CONCLUSION

The low QWL of medical doctors working in public hospitals in China is evident, which is associated with high workloads, low rewards and workplace violence. There are also significant regional differences in the QWL of medical doctors, with the eastern developed region featuring better QWL. Public hospitals in China are facing serious challenges in occupational health and safety, which needs to be addressed through a systems approach.

A survey of health status of healthcare providers in a square cabin hospital during the new corona omicron outbreak: A cross-sectional study

Background

The coronavirus omicron variant outbroke in early 2022 in Shanghai. Although previous studies indicated that long working hours in a square cabin hospital might increase the risk of mental health among frontline healthcare providers, few studies have investigated whether the mental health risk could be reduced among well-trained professionals following the new guidelines.

Objective

This study aimed to investigate the health situation of frontline healthcare providers in Shanghai square cabin during the omicron variant circulation.

Methods

An online survey was used to evaluate those healthcare providers working in the square cabin hospitals from March 1, 2022, to May 31, 2022. The first online survey was conducted and emailed to the health providers on April 1. The second survey was conducted and sent to the nonrespondents on May 31. Overall, 142 frontline healthcare providers completed the online survey. Their mental health was assessed by the Insomnia Severity Index Scale, the Generalized Anxiety Disorder Scale, the Patient Health Questionnaire-9, and the Psychological Resilience Scale. We estimated multiple clinical systems and identified factors associated with those symptoms among participants. Multivariable logistic regression models were used to assess the risk factors of these symptoms.

Results

Overall, 66.20%, 45.07%, and 27.46% of frontline healthcare providers in Shanghai City reported symptoms of insomnia, depression, and anxiety, respectively. In addition, the most common symptoms included dry eyes (57.75%), lumbar muscle strain (47.18%), dry mouth (35.92%), itching (31.69%), headache (29.58%), and sore throat (28.87%) among the frontline healthcare providers. There was no statistical difference in symptoms by gender, age, personnel category, or job position (p &gt; 0.05).

Conclusion

In the case of an unexpected pandemic, the mental health of healthcare providers is not optimistic. This situation still exists more than 2 years after the global outbreak of the COVID-19 pandemic. Therefore, the physical and mental health of long-term healthcare providers working in a square cabin hospital still needs monitoring.

Relationship between perceived stress and depression in Chinese front-line medical staff during COVID-19: A conditional process model

BACKGROUND

Sustained stress during COVID-19 may be associated with depression in front-line medical staff, which would expose them to severe threats. This study aimed to examine whether the relationship between perceived stress and depression is mediated by insomnia, and whether this mediation is moderated by resilience.

METHODS

For front-line medical staff, this study used online questionnaire to evaluate their perceived stress, depression, insomnia and resilience. A conditional process model was performed to examine the relationship between perceived stress and depression, as well as the mediating effect of insomnia and the moderating effect of resilience.

RESULTS

A total of 606 front-line medical staff completed the survey. Higher level of perceived stress was significantly positively related to severe insomnia and depression. In addition, insomnia was positively related to depression, while resilience could moderate the effect of perceived stress on depression by direct and indirect paths.

LIMITATIONS

The causality among perceived stress, depression, insomnia and resilience is difficult to be verified.

CONCLUSIONS

Perceived stress is positively related to depression, and insomnia can mediate the effect of perceived stress on depression. In addition, the effect of perceived stress on depression, whether direct or indirect, is moderated by resilience, which is a protective factor for mental health.

A Conceptual Framework for Blockchain Enhanced Information Modeling for Healing and Therapeutic Design

In the face of the health challenges caused by the COVID-19 pandemic, healing and therapeutic design (HTD) as interventions can help with improving people's health. It is considered to have great potential to promote health in the forms of art, architecture, landscape, space, and environment. However, there are insufficient design approaches to address the challenges during the HTD process. An increased number of studies have shown that emerging information modeling (IM) such as building information modeling (BIM), landscape information modeling (LIM), and city information modeling (CIM) coupled with blockchain (BC) functionalities have the potential to enhance designers' HTD by considering important design elements, namely design variables, design knowledge, and design decision. It can also address challenges during the design process, such as design changes, conflicts in design requirements, the lack of design evaluation tools and frameworks, and incomplete design information. Therefore, this paper aims to develop a conceptual BC enhanced IM for HTD (BC-HTD) framework that addresses the challenges in the HTD and promotes health and well-being. The structure of BC-HTD framework is twofold: (1) a conceptual high-level framework comprising three levels: user; system; and information, (2) a conceptual low-level framework of detailed content at the system level, which has been constructed using a mixed quantitative and qualitative method of literature analysis, and validated via a pre-interview questionnaire survey and follow-up interviews with industry experts and academics. This paper analyzes the process of BC enhanced HTD and the knowledge management of HTD to aid design decisions in managing design information. This paper is the first attempt to apply the advantages of BC enabled IM to enhance the HTD process. The results of this study can foster and propel new research pathways and knowledge on the value of design in the form of non-fungible token (NFT) based on the extended advantages of BC in the field of design, which can fully mobilize the healing and therapeutic behaviors of designers and the advantage potential of HTD to promote health, and realize the vision of Health Metaverse in the context of sustainable development.

Mental Health Disorders in Nurses During the COVID-19 Pandemic: Implications and Coping Strategies

Nurses caring for patients who contract coronavirus disease 2019 (COVID-19) have experienced significant traumas in the form of increased workloads, negative patient outcomes, and less social support system access. Nurses should be provided with information regarding early detection, coping skills and treatment for anxiety, depression, post-traumatic stress syndrome (PTSS)/post-traumatic stress disorder (PTSD), and other mental health disorders. Early intervention is important as mental health disorders can cause dysfunction, internal suffering, and in the most extreme situations, lead to death if not properly cared for. Healthcare corporations should consider providing coverage for mental health treatment for employees who experience COVID-19 traumas. With the implementation of healthy coping skills and therapeutic intervention, nurses will be able to let go of the negative impacts that the COVID-19 pandemic has caused and reintegrate into their roles as caring and entrusted health care providers. The current paper evaluates the mental health disorders encountered by nurses in the COVID-19 era based on the current medical literature and aims to provide practical coping strategies.

Validity and Reliability of the Stress and Anxiety to Viral Epidemics-6 (SAVE-6) Scale to Measure Viral Anxiety of Healthcare Workers in Spain During the COVID-19 Pandemic

This study examined the validity and applicability of the Spanish version of the Stress and Anxiety to Viral Epidemics-6 items (SAVE-6) scale, which can be usually applied to the general population, to healthcare workers to briefly measure their anxiety responses to the viral epidemic. A total of 135 healthcare workers participated in this online survey from January to July 2021. Participants' sociodemographic characteristics were gathered, and their psychiatric symptoms were rated using SAVE-6, Goldberg Anxiety and Depression Scale (GDAS), and the Pittsburgh Sleep Quality Index (PSQI). The confirmatory factor analysis was conducted to examine the validity of the scales. The single-structure model of the SAVE-6 scale was adopted based on the results of the parallel analysis. We decided on the SAVE-6 scale, as it proved to be a good fit to measure healthcare workers' anxiety response to the viral epidemic. SAVE-6 showed good internal consistency (Cronbach's alpha = 0.827 and McDonald's omega = 0.834) and good convergent validity with Goldberg anxiety (r = 0.434, p < 0.001) and depression (r = 0.193, p = 0.043) scores, and PSQI score (r = 0.262, p = 0.002). The Spanish version of SAVE-6 is a reliable and valid rating scale to assess the anxiety response of healthcare workers specifically to the viral epidemic as a brief measure during the COVID-19 pandemic.