Dataset Information

Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.

ABSTRACT:

Objective

This paper used meta-regression to analyze the heterogenous factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) in China under the COVID-19 crisis.

Method

We systematically searched PubMed, Embase, Web of Science, and Medrxiv and pooled data using random-effects meta-analyses to estimate the prevalence rates, and ran meta-regression to tease out the key sources of the heterogeneity.

Results

The meta-regression results uncovered several predictors of the heterogeneity in prevalence rates among published studies, including severity (e.g., above severe vs. above moderate, p < 0.01; above moderate vs. above mild, p < 0.01), type of mental symptoms (PTSD vs. anxiety, p = 0.04), population (frontline vs. general HCWs, p < 0.01), sampling location (Wuhan vs. Non-Wuhan, p = 0.04), and study quality (p = 0.04).

Conclusion

The meta-regression findings provide evidence on the factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) to guide future research and evidence-based medicine in several specific directions.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=220592, identifier: CRD42020220592.

SUBMITTER: Chen X

PROVIDER: S-EPMC8972157 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.

Chen Xi X Chen Jiyao J Zhang Meimei M Dong Rebecca Kechen RK Li Jizhen J Dong Zhe Z Ye Yingying Y Tong Lingyao L Zhao Ruiying R Cao Wenrui W Li Peikai P Zhang Stephen X SX

Frontiers in psychiatry 20220318

<h4>Objective</h4>This paper used meta-regression to analyze the heterogenous factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) in China under the COVID-19 crisis.<h4>Method</h4>We systematically searched PubMed, Embase, Web of Science, and Medrxiv and pooled data using random-effects meta-analyses to estimate the prevalence rates, and ran meta-regression to tease out the key sources of the heterogeneity.<h4>Results</h4>T ...[more]

PMID: 35370861

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Project description:ObjectivesGlobally, novel coronavirus disease 2019 (COVID-19) has spread rapidly since it was first identified and challenging the provision of essential services for low-resource countries. Healthcare workers involved in providing care are at high risk of developing mental health problems. The aim of this was to determine the prevalence of depressive symptoms due to COVID-19 and associated factors among healthcare workers in the West Guji zone in public health facilities, southern Ethiopia.MethodsA facility-based cross-sectional study was conducted in public health facilities found in the West Guji zone. A simple random sampling technique was employed to select 283 study subjects. This study was used to assess the prevalence of depression symptoms using Depression, Anxiety and Stress Scale-21, a depression subscale. Descriptive statistics, binary and multiple logistic regressions were used. Adjusted odds ratios (AORs) with 95% confidence interval will be estimated to assess the strength of associations and statistical significance will be declared at a p-value < 0.05.ResultsOut of 283 eligible healthcare workers, 275 respondents had participated in this study with a 97.2% response rate. The prevalence of depressive symptoms was 21.5%. The independent predictors associated with depressive symptoms due to COVID-19 were age (adjusted odds ratio = 2.35, 95% confidence interval = 1.126-3.95), family size (adjusted odds ratio = 3.56, 95% confidence interval = 1.09-11.62), alcohol use (adjusted odds ratio = 4.31, 95% confidence interval = 1.76-10.55), medical illness (adjusted odds ratio = 9.56, 95% confidence interval = 3.71-24.59), having training on COVID-19 (adjusted odds ratio = 0.37, 95% confidence interval = 0.17-0.81), and lack of knowledge on COVID-19 (adjusted odds ratio = 15.34, 95% confidence interval = 6.32-37.21).ConclusionThe prevalence of depressive symptoms among healthcare workers due to COVID-19 was high. Factors associated with depressive symptoms were age, family size, alcohol use, medical illness, having training on COVID-19, and lack of knowledge on COVID-19.

Project description:BackgroundStudies of previous pandemics indicate that healthcare workers have a high risk of developing symptoms related to mental health, especially depression, anxiety, and stress.ObjectiveTo identify mental disorder symptoms among Brazilian healthcare workers during the Sars-Cov-2 pandemic and compare findings in different work categories.MethodsThis was an online cross-sectional study. Information related to the pandemic and mental disorder symptoms was collected. The Depression, Anxiety, and Stress Scale and the Impact of Event Scale-revised were used. Associations were estimated by the chi-square test. The mean scores were compared among work categories with ANOVA (α = 5%) and the prevalence of symptoms was estimated.Results1,609 healthcare workers participated in the survey [mean age: 36.9 (SD = 11.6) years, women = 83.6%]. There was no association between work category and changes in mental health during the pandemic (p = 0.288) or prevalence of unsafe feeling (p = 0.218). A significant relationship was observed between maintaining work activities during the pandemic and work category (p < 0.001). Physicians had the lowest out-of-work prevalence (9.5%) while dentists had the highest (32.3%). Physicians and nurses showed the highest prevalence of in-person work routine. Psychologists presented the highest prevalence of remote work (64.0%) while dentists had the lowest (20.2%). A high prevalence of depression (D), anxiety (A), and stress (S) symptoms was observed in all professional categories (D: 57.2, 95% CI 48.3-66.1%; A: 46.20%, 95% CI = 37.2-55.2%; S: 55.80%, 95% CI = 46.8-64.8%), with physicians (D = 38.4%, A = 25.80%, S = 37.90%), psychologists (D = 50.2%, A = 39.0%, S = 43.1%), and nurses (D = 50.0%, A = 40.9%, S = 49.0%) having significantly lower scores. Psychologists had the lowest pandemic-related psychological impact (42.70%, 95% CI 36.8-48.6%).ConclusionExtreme changes in the work routine of dentists and psychologists and an overall high prevalence of mental symptoms due to the pandemic were found. Researchers should focus on gathering information that can identify workers at increased risk of mental illness to guide discussions and develop actions to minimize the harm of the pandemic. In addition, we suggest that healthcare and support systems urgently adopt mental health care measures with specialized professionals to protect the psychological well-being of the healthcare community.

Project description:IntroductionHealthcare workers globally have experienced increased social and occupational stressors in their working environments and communities because of COVID-19 which has increased the risk of mental health concerns. This study aimed to explore the prevalence and correlates of depression and anxiety amongst healthcare workers during the COVID-19 pandemic in the Western Cape, South Africa. In addition, role-related stressors and coping strategies were explored.Material and methodsWe conducted a cross-sectional survey of doctors and nurses working in public healthcare facilities across the Western Cape, South Africa. Participants completed the Generalized Anxiety Disorder-7 (GAD-7), the Center for Epidemiologic Studies Depression (CES-D), the Professional Quality of Life (PROQL-R-IV), and the Brief Coping Orientation to Problems Experienced (COPE-R) scales. Data were analysed using multivariable logistic regression analysis.ResultsThe sample comprised 416 health workers (303 nurses, 113 doctors). Almost 40% of the sample (n = 161) had CES-D scores suggestive of probable depression, and 45.9% (n = 186) had GAD-7 scores suggestive of anxiety. In the logistic regression model, the odds of probable depression were higher for female participants compared to men (OR = 2.26, 95% CI 1.00-5.10) and for participants who used behavioural disengagement as a coping strategy (OR = 1.50, 95% CI 1.14-1.97). More time spent working with COVID patients was associated with increased odds of having high levels of anxiety [OR = 1.13, 95% CI (1.02-1.25). Substance use (OR = 1.39, 95% CI 1.08-1.81), venting (OR = 1.31, 95% CI 1.01-1.70), and self-blame (OR = 1.42, 95% CI 1.08-1.87) were some of the coping strategies used by healthcare workers. High levels of secondary traumatic stress and burnout were found to increase the odds of both depression and anxiety.ConclusionFindings of this study suggest that there is a high prevalence of mental health issues among healthcare workers, and a critical need to focus on workplace mental health interventions to support these frontline workers.

Project description:Objective: The purpose of this meta-analysis was to summarize the prevalence and risk factors of mental health problems among healthcare workers during the COVID-19 pandemic. Methods: We applied an optimized search strategy across the PubMed, EMBASE, Scopus, PsycINFO, and four Chinese databases, with hand searching supplemented to identify relevant surveys. Studies were eligible for inclusion if they were published in peer-reviewed literature and used a validated method to assess the prevalence and risk factors of mental health problems among healthcare workers during the COVID-19 pandemic. Heterogeneity was quantified using Q statistics and the I 2 statistics. The potential causes of heterogeneity were investigated using subgroup analysis and meta-regression analysis. Sensitivity analysis was performed to examine the robustness of the results. Results: We pooled and analyzed data from 20 studies comprising 10,886 healthcare workers. The prevalence of depression, anxiety, insomnia, post-traumatic stress symptoms, phobia, obsessive-compulsive symptoms, and somatization symptoms was 24.1, 28.6, 44.1, 25.6, 35.0, 16.2, and 10.7%, respectively. Female and nurses had a high prevalence of depression and anxiety. Frontline healthcare workers had a higher prevalence of anxiety and a lower prevalence of depression than the those in the second-line. Furthermore, the proportion of moderate-severe depression and anxiety is higher in the frontline. Additionally, four studies reported on risk factors of mental health problems. Conclusions: In this systematic review, healthcare workers have a relatively high prevalence of depression, anxiety, insomnia, post-traumatic stress symptoms, phobia, obsessive-compulsive symptoms, and somatization symptoms during the COVID-19 pandemic, and focus should be on the healthcare workers at high risk of mental problems. Mental health problems in healthcare workers should be taken seriously, and timely screening and appropriate intervention for the high-risk group are highly recommended. Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020179189.

Dataset Information

Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.

Objective

Method

Results

Conclusion

Systematic review registration

Publications

Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.

Similar Datasets

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