PTSD Among Healthcare Workers During the COVID-19 Outbreak: A Study Raises Concern for Non-medical Staff in Low-Risk Areas

Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis

Background: There has been growing concern regarding increasing levels of post-traumatic stress (PTS) symptoms experienced by healthcare workers (HCW) in the UK, particularly following the COVID-19 pandemic.Objectives: PTS symptom typologies have been investigated in other adult populations using person-centred latent variable approaches, revealing profiles showing differing symptom levels and patterns. We aimed to explore typologies among clinical and non-clinical healthcare staff to elucidate heterogeneity of presentation.  Methods: This was a retrospective study using referral data from treatment-seeking healthcare staff in the North of England (N = 1600). We employed latent profile analysis using the PTSD International Trauma Questionnaire domains as profile indicators. We included covariates relating to role-type, depression, anxiety and mental health concerns before March of 2020.   Results: A model with six profiles fit the data best. Profile names were given as follows: 'No symptom'; 'Low symptom'; 'Low symptom (moderate Sense of current threat (Th_dx) and Functional impairment (FI))'; 'Moderate symptom (low Th_dx and high Avoidance (Av_dx))'; 'Moderate symptom'; and 'High symptom'. Covariates were shown to have differential predictive power on profile membership. Conclusions: The finding of profiles with pattern differences suggests a need for both differential and specifically targeted treatments, as well as a consideration of early intervention for those individuals with subclinical PTS symptoms. As expected, anxiety and depression were both predictors of several of the symptomatic profiles, with anxiety producing a larger effect. Further research is required to fully understand the link between role-type and PTS symptom typologies among HCW. .

Prevalence and influencing factors of post-traumatic stress disorder among Chinese healthcare workers during the COVID-19 epidemic: a systematic review and meta-analysis

Background

Post-traumatic stress disorder is an important psychological problem affecting the physical mental health of Chinese healthcare workers during the COVID-19 pandemic.

Aims

To estimate the prevalence and influencing factors of post-traumatic stress disorder (PTSD) among Chinese healthcare workers during COVID-19.

Methods

Search of Chinese and English literature in PubMed, EMbase, Web of Science, Medline, Elsevier, SpringerLink, China Biomedical Literature Database, CNKI, Wan-fang, and CQVIP for the period from December 2019 to August 2023. Stata 14.0 software was used for data analysis. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the Random-effects model. Publication bias was evaluated using Egger's test and Begg's test.

Results

Twenty-one studies included 11841 Chinese healthcare workers in this review. First, the overall prevalence of Post-traumatic stress disorder among Chinese healthcare workers during the COVID-19 epidemic was 29.2% (95% CI: 20.7% to 33.7%). Twelve factors included in the meta-analysis were found to be protective against PTSD among Chinese healthcare workers: female, nurse, married, front-line work, less work experience, family or friend diagnosed with COVID-19, history of chronic disease and fear of COVID-19. Conversely, outside Hubei, higher education, social support and psychological resilience are protective factors.

Conclusion

These recent findings increase our understanding of the psychological status of Chinese healthcare workers and encourage that long-term monitoring and long-term interventions should be implemented to improve the mental health of Chinese healthcare workers in the aftermath of the COVID-19.

Prevalence of post-traumatic stress disorder among residents of Shanghai standardized training programs during the COVID-19 outbreak: a cross-sectional study

Background

The COVID-19 pandemic may have increased the prevalence of psychiatric disorders, such as anxiety, depressive disorders, and post-traumatic stress disorder (PTSD), among healthcare workers.

Purpose

This study aims to investigate the prevalence of PTSD and its risk factors among residents in the standardized residency training programs (SRTPs) in Shanghai during the COVID-19 outbreak.

Participants and methods

An online cross-sectional survey was conducted between December 17, 2021, and January 7, 2022, among SRPT residents from 15 hospitals in Shanghai, China. Questionnaires comprising general information, medical-related traumatic event experiences, the PTSD Checklist (PCL-5), and the perceived social support scale (PSSS) were distributed to the participants using the online Questionnaire Star electronic system.

Results

We included 835 valid responses for the analysis. In total, 654 residents (78.3%) had experienced at least one traumatic event, and 278 residents (33.3%) were found to have PTSD symptoms. The age 26-30 years old, female sex, and increased resident working hours were identified as the risk factors for PTSD (p < 0.05), and perceived social support had a significant negative association with PTSD (p < 0.05).

Conclusion

During the COVID-19 pandemic, there was a high prevalence of PTSD among SRTPs residents in Shanghai. The age 26-30 years old, female sex, and increased resident working hours were identified as risk factors for PTSD, while perceived social support was identified as a protective factor against PTSD. The present findings can be applied in STRPs management and provide useful information for designing special interventions and protocols for SRTPs residents.

Effects of media exposure on PTSD symptoms in college students during the COVID-19 outbreak

Objective

We aimed to investigate the influence of media on college students' mental health during the COVID-19 pandemic.

Methods

After the COVID-19 outbreak, we used cross-sectional surveys through online questionnaires to investigate the mental health of college students in lockdown at home. We identified the influencing factors of PTSD symptoms using the Chi-Square test and ordinal logistic regression analysis.

Results

In 10,989 valid questionnaires, 9,906 college students with no PTSD symptoms, 947 college students with subclinical PTSD symptoms (1-3 items), and 136 college students with four or more PTSD symptoms were screened out. The results showed that media content impacted the mental health of college students in lockdown at home. Positive media content was negatively correlated with PTSD symptoms among college students. PTSD symptoms were not associated with sources of information. Moreover, College students with PTSD symptoms would reduce their willingness to learn and could not complete online learning efficiently.

Conclusion

PTSD symptoms are related to media exposure and excessive information involvement of COVID-19 in college students, which influences the willingness to attend online classes.

Post-traumatic stress in healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis

The SARS-CoV-2 (COVID-19) pandemic has increased healthcare worker (HCW) susceptibility to mental illness. We conducted a meta-analysis to investigate the prevalence and possible factors associated with post-traumatic stress disorder (PTSD) symptoms among HCW during the COVID-19 pandemic. We searched PubMed, SCOPUS and EMBASE databases up to May 4th, 2022. We performed random effects meta-analysis and moderator analyses for the prevalence of PTSD-relevant symptoms and severe PTSD symptoms. We identified 1276 studies, reviewed 209 full-text articles, and included 119 studies (117,143 participants) with a total of 121 data points in our final analysis. 34 studies (24,541 participants) reported prevalence of severe PTSD symptoms. Approximately 25.2% of participants were physicians, 42.8% nurses, 12.4% allied health professionals, 8.9% auxiliary health professionals, and 10.8% "other". The pooled prevalence of PTSD symptoms among HCWs was 34% (95% CI, 0.30-0.39, I² >90%), and 14% for severe PTSD (95% CI, 0.11 - 0.17, I² >90%). The introduction of COVID vaccines was associated with a sharp decline in the prevalence of PTSD, and new virus variants were associated with small increases in PTSD rates. It is important that policies work towards allocating adequate resources towards protecting the well-being of healthcare workers to minimize adverse consequences of PTSD.

Analysis of Symptom Characteristics, Influencing Factors, and Their Predictive Value for Posttraumatic Stress Disorder in Nurses: A Cross-Sectional Questionnaire Study

Nurses often face a variety of nursing-related stresses, making them more prone to symptoms of posttraumatic stress disorder (PTSD). We aimed to explore symptom characteristics, influencing factors, and their predictive value for PTSD in nurses, so as to prevent the occurrence of PTSD in nurses. This was a cross-sectional study conducted in two tertiary hospitals in Yangzhou. A total of 1290 valid questionnaires were received in our study, and 190 nurses (14.7%) were positive for PTSD symptoms. The results show that individuals with higher scores on the Perceived Stress Scale-10 (PSS-10), Patient Health Questionnaire-15 (PHQ-15), Generalized Anxiety Disorder Scale-7 (GAD-7), and maladaptive cognitive emotion regulation strategies questionnaire (maladaptive CERS) were more likely to experience PTSD symptoms, whereas those with lower scores on the Perceived Social Support Scale (PSSS) were more likely to experience PTSD symptoms. Compared with the PSS-10, PHQ-15, and PSSS, GAD-7 and maladaptive CERS had higher predictive value. This study provided the optimal threshold of relevant factors that may have a positive effect on the prevention of PTSD symptoms. This has guiding implications for active prevention and intervention in some institutions.

Characteristics of Hospital Workers Using a Wellbeing Center Implemented During the COVID-19 Pandemic to Prevent the Emotional Impacts of the Crisis

Introduction

The COVID-19 pandemic has posed an unprecedented challenge worldwide for healthcare workers (HCWs) and other hospital employees. Disruptions in work and personal life may have led to mental health problems. To prevent or limit the severity of such issues, a local initiative has been implemented in a French hospital: a dedicated lounge, also called “Bulle” (literally bubble and meaning safe space) has been created to provide a quiet caring environment and health support. Other similar wellbeing centers have been implemented in other countries, but very little data are available on their practical effectiveness. The purpose of our study was to assess what type of hospital workers have frequented the Bulle and to describe their psychological state in terms of anxiety, depression, and post-traumatic stress disorder (PTSD) just after the first wave, compared to those who had not come to the Bulle.

Methods

From 15 July to 1 October 2020, a cross-sectional survey was conducted among all workers, collecting demographic information, professional data (experience and satisfaction), emotional experience during the first wave of COVID-19, and psychological specificities, including a history of burnout or symptoms of anxiety, depression, and PTSD. We asked them if they had accessed the Bulle or not.

Results

A total of 675 employees (out of 2,408; 28.0%) fully completed the survey. Approximately 199 respondents (29%) reported having accessed the Bulle during the first wave of the pandemic. Significant symptoms of anxiety, depression, and PTSD were reported by, respectively, 41, 20, and 14% of the participants. Logistic regression analysis showed no relationship between the use of the Bulle and the prevalence of later psychological symptoms. However, employees who benefit from the solicitation of the psychological support team in their hospital unit were secondarily more prone to come to the Bulle [odds ratio (OR), 2.24; 95% confidence interval (95% CI): 1.09; 4.59].

Conclusion

Anxiety, depression, and PTSD were common after the first part of the COVID-19 pandemic, and the attendance in quiet and wellbeing spaces seemed easier with direct internal proactive intervention by psychological teams.

Social, Economic, and Regional Determinants of Mortality in Hospitalized Patients With COVID-19 in Brazil

On May 10, 2021, Brazil ranked second in the world in COVID-19 deaths. Understanding risk factors, or social and ethnic inequality in health care according to a given city population and political or economic weakness is of paramount importance. Brazil had a seriousness COVID-19 outbreak in light of social and economic factors and its complex racial demographics. The objective of this study was to verify the odds of mortality of hospitalized patients during COVID-19 infection based on their economic, social, and epidemiological characteristics. We found that odds of death are greater among patients with comorbidities, neurological (1.99) and renal diseases (1.97), and immunodeficiency disorders (1.69). While the relative income (2.45) indicates that social factors have greater influence on mortality than the comorbidities studied. Patients living in the Northern macro-region of Brazil face greater chance of mortality compared to those in Central-South Brazil. We conclude that, during the studied period, the chances of mortality for COVID-19 in Brazil were more strongly influenced by socioeconomic poverty conditions than by natural comorbidities (neurological, renal, and immunodeficiency disorders), which were also very relevant. Regional factors are relevant in mortality rates given more individuals being vulnerable to poverty conditions.

COVID-19 Health Crisis Workloads and Screening for Psychological Impact in Nursing Home Staff: A Qualitative and Quantitative Survey

Background: Nursing homes were particularly affected by the COVID-19 pandemic. The purpose of this study was to evaluate qualitatively and quantitatively with the use of a self-reported questionnaire as a tool for screening for mental disorders in nursing home staff. Methods: A multicenter epidemiological study was conducted in 12 nursing homes in France with 1117 nursing home staff eligible. Socio-demographic, occupational, and medical data were collected by anonymous self-reported questionnaire using validated scales to assess anxiety/depressive symptoms (HAD scale) and post-traumatic stress disorder (PCL-5). A total of 12 semi-structured interviews were conducted to assess acceptance and expectations for the use of the questionnaire. Results: The participation rate was 34.5%. Data from 373 questionnaires were included in the analysis. The questionnaire was well accepted by the participants and met their wishes for prevention action. The sample was 82% female. More than half reported a feeling of powerlessness and lack of time or staffing. The prevalence of anxiety symptoms was 22%, depressive symptoms 10%, and post-traumatic stress 7%. Conclusions: This study underlines the interest in screening for mental disorders by self-reported questionnaire and deploying preventive actions in the workplace to reduce stress and facilitate the reconciliation of family and working life in this context of the pandemic.

Marital Status and Gender Differences as Key Determinants of COVID-19 Impact on Wellbeing, Job Satisfaction and Resilience in Health Care Workers and Staff Working in Academia in the UK During the First Wave of the Pandemic

Background

The COVID-19 pandemic is an unprecedented global public health crisis that continues to exert immense pressure on healthcare and related professional staff and services. The impact on staff wellbeing is likely to be influenced by a combination of modifiable and non-modifiable factors.

Objectives

The aim of this study is to evaluate the effect of the COVID-19 pandemic on the self-reported wellbeing, resilience, and job satisfaction of National Health Service (NHS) and university staff working in the field of healthcare and medical research.

Methods

We conducted a cross sectional survey of NHS and UK university staff throughout the COVID-19 pandemic between May-November 2020. The anonymous and voluntary survey was disseminated through social media platforms, and via e-mail to members of professional and medical bodies. The data was analyzed using descriptive and regression (R) statistics.

Results

The enjoyment of work and satisfaction outside of work was significantly negatively impacted by the COVID-19 pandemic for all of staff groups independent of other variables. Furthermore, married women reporting significantly lower wellbeing than married men (P = 0.028). Additionally, the wellbeing of single females was significantly lower than both married women and men (P = 0.017 and P < 0.0001, respectively). Gender differences were also found in satisfaction outside of work, with women reporting higher satisfaction than men before the COVID-19 pandemic (P = 0.0002).

Conclusion

Our study confirms that the enjoyment of work and general satisfaction of staff members has been significantly affected by the first wave of the COVID-19 pandemic. Interestingly, being married appears to be a protective factor for wellbeing and resilience but the effect may be reversed for life satisfaction outside work. Our survey highlights the critical need for further research to examine gender differences using a wider range of methods.

Association between sleep disturbance and mental health of healthcare workers: A systematic review and meta-analysis

OBJECTIVES

Sleep disturbance and mental health are challenges for healthcare workers (HCWs). Especially during the COVID-19 pandemic, they experienced more severe sleep and mental health problems. However, the association between sleep disturbance and the mental health of HCWs is still controversial. This study aimed to systematically review the relationship by conducting a systematic review and meta-analysis.

METHOD

Two researchers retrieved the literature from Web of Science, PubMed, EMBASE, CINAHL, Psyclnfo, and Cochrane Library from the establishment of the databases until November 20, 2021. We used the New Castle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) to evaluate the risk of bias in prospective research and cross-sectional research, respectively. The major exposure was HCWs' sleep disturbance, and the major outcome was mental health. The correlation coefficients (r), regression coefficients (β) and odds ratios (OR) of the included studies were integrated.

RESULT

Fifty-nine studies were included for qualitative analysis, of which 30 studies could be combined and entered into quantitative analysis. There were 23 studies during the COVID-19 pandemic among the 59 included studies. The results of the meta-analysis showed that the correlation coefficient between sleep disturbance and mental health was 0.43 (95% CI: 0.39-0.47). HCWs with sleep disturbance had a 3.74 (95% CI: 2.76-5.07) times higher risk of mental health problems than those without sleep disturbance. The correlation coefficient during the COVID-19 epidemic was 0.45 (95% CI: 0.37-0.53), while it was 0.40 (95% CI: 0.36-0.44) during the non-epidemic period. Subgroup analysis compared the OR results in epidemic and non-epidemic periods of COVID-19, which were 4.48 (95% CI: 2.75-5.07) and 3.74 (95% CI: 2.74-7.32), respectively.

CONCLUSION

Sleep disturbance and mental health problems were positively correlated among HCWs. Particularly in the COVID-19 pandemic, more attention should be given to this issue.