The prevalence of probable mental health disorders among hospital healthcare workers during COVID-19: A systematic review and meta-analysis

Lee, Brian En Chyi; Ling, Mathew; Boyd, Leanne; Olsson, Craig A.; Sheen, Jade

doi:10.1016/j.jad.2023.03.012

Cited by 66 publications

(54 citation statements)

References 106 publications

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“…There is little doubt that HCWs’ mental health was impacted by work during the pandemic 15,16 and we have previously shown, using administrative health records, that HCWs in this cohort had an elevated risk of mental ill-health throughout the pandemic 17 . The prevalence of depression cases (10%) found here was somewhat lower than that found by diagnostic interview following screening in English HCW (14%) but the proportion of anxiety cases in the present study was higher (26% here, 14% in English HCW) 18 .…”

Section: Discussionmentioning

confidence: 78%

Work Characteristics, Workplace Support, and Mental Ill-Health in a Canadian Cohort of Healthcare Workers During the COVID-19 Pandemic

Cherry,

Adisesh,

Burstyn

et al. 2024

J Occup Environ Med

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Objectives To identify determinants of mental health in healthcare workers (HCW) during the COVID-19 pandemic. Methods A cohort of Canadian HCW completed four questionnaires giving details of work with patients, ratings of workplace supports, a mental health questionnaire and substance use. Principal components were extracted from 23 rating scales. Risk factors were examined by Poisson regression. Results 4854 (97.8%) of 4964 participants completed ratings and mental health questionnaires. HCWs working with patients with COVID-19 had high anxiety and depression scores. One of three extracted components, ‘poor support’, was related to work with infected patients and to anxiety, depression and substance use. Availability of online support was associated with feelings of better support and less mental ill-health. Conclusions Work with infected patients and perceived poor workplace support were related to anxiety and depression during the pandemic.

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Section: Discussionmentioning

confidence: 78%

Work Characteristics, Workplace Support, and Mental Ill-Health in a Canadian Cohort of Healthcare Workers During the COVID-19 Pandemic

Cherry,

Adisesh,

Burstyn

et al. 2024

J Occup Environ Med

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“…Interestingly, 98% of the participants were female. A meta-analysis [29] which included 401 studies, representing 458,754 participants across 58 countries, reported that women working in high risk units and those providing direct care had signi cantly higher odds for insomnia. This nding was consistent with the results of the current study.…”

Section: Discussionmentioning

confidence: 99%

Development of a nomogram model for predicting the risk of insomnia in nurses who underwent the Long- COVID

Ye,

Zhang,

Wang

et al. 2024

Preprint

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Purpose To investigate the prevalence of insomnia among nurses diagnosed with Long-COVID, analyze the potential risk factors, and establish a nomogram prediction model. Methods General demographic information was obtained, and assessments of sleep quality, burnout, and stress were performed in a single center in May 2023. Three hundred and ninety-eight nurses were recruited. The Lasso regression technique was employed to screen for potential factors contributing to insomnia. A prognostic nomogram was constructed and evaluated by receiver operating characteristic curves and calibration curves. Results Fifty-four percent of nurses complained of insomnia in this study. Eleven variables were independently associated with sleep patterns, including family, years of work, relaxion time, sequela of respiratory system, sequela of nervous system, others sequela, attitudes towards COVID-19, sleep duration, previous sleep problems, stress, and job burnout. The R-squared value was 0.4642 and the area under curve was 0.8661. The derived nomogram showed that neurological sequela, stress, job burnout, sleep time before infection, and previous sleep problems also made the most substantial contributions to predicting sleep patterns. The calibration curves for predicting insomnia showed significant agreement between the nomogram models and actual observations. Conclusion The present study established a nomogram prediction model of insomnia for nurses diagnosed with Long-COVID, which is helpful for the early clinical identification of high-risk individuals with insomnia.

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“…In the past three COVID-19 pandemic years, medical workers have endured extreme psychological pressure. A series of studies have been conducted about the psychological health status of medical workers ( 1 , 2 ), including medical students ( 3 , 4 ). During the study period, medical workers were actively involved in the care of COVID-19 patients ( 1 , 2 ).…”

Section: Introductionmentioning

confidence: 99%

“…A series of studies have been conducted about the psychological health status of medical workers ( 1 , 2 ), including medical students ( 3 , 4 ). During the study period, medical workers were actively involved in the care of COVID-19 patients ( 1 , 2 ). Both were found a high prevalence of anxiety and depression, but there were few studies on resident training physicians.…”

Section: Introductionmentioning

confidence: 99%

Psychological status and related factors of resident physicians during the release of COVID-19 pandemic restrictions in China

Zhang,

Pan,

Pan

et al. 2024

Front. Public Health

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BackgroundResident physicians at the standardized training stage had undergone significant physical and mental stress during the release of the COVID-19 pandemic restrictions at the end of 2022 in China. This study aimed to investigate the psychological status (including anxiety, depression, somatic symptoms, job burnout, and vicarious trauma) of resident physicians and identify its influencing factors under these special periods.MethodsSurvey was conducted one month after the release of the COVID-19 pandemic restrictions on resident training physicians from a tertiary first-class hospital in Zhejiang, China. Resident physicians completed the psychological status questionnaire. Chi-square tests, Mann–Whitney U tests, and logistic regression analyses were used to estimate the group differences and variable associations.ResultsThe prevalence of anxiety, depression, and somatic discomfort in this study was 20.88, 28.53, and 41.47%, respectively. Female resident physicians were more likely to experience somatic symptoms [adjusted odds ratio (OR) = 2.36, 95% confidence interval (CI): 1.33–4.18]. Resident physicians with problem-focused coping styles were less prone to psychological health issues [depression (adjusted OR = 0.92, 95% CI: 0.88–0.96), anxiety (adjusted OR = 0.94, 95% CI: 0.90–0.98), somatic symptoms (adjusted OR = 0.93, 95% CI: 0.89–0.97), job burnout (adjusted OR = 0.91, 95% CI: 0.87–0.96) and vicarious trauma (adjusted OR = 0.94, 95% CI: 0.90–0.98)]. Inversely, resident physicians with emotion-focused coping styles and experienced negative life events were more prone to psychological health issues.ConclusionResident training physicians had a high risk of anxiety, depression, and somatic symptoms under the special COVID-19 pandemic restriction release period. Females, with lower training stages, degrees, negative life events, and emotion-focused coping styles had a disadvantaged effect on psychological status. The medical teaching management department needs to monitor and reduce the workload and working hours of resident physicians, ensure sufficient sleep time, and pay attention to the psychological status of resident physicians. By strengthening regular communication and mental health education or intervention, which can help them improve their ability to cope with complex tasks.

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The prevalence of probable mental health disorders among hospital healthcare workers during COVID-19: A systematic review and meta-analysis

Cited by 66 publications

References 106 publications

Work Characteristics, Workplace Support, and Mental Ill-Health in a Canadian Cohort of Healthcare Workers During the COVID-19 Pandemic

Work Characteristics, Workplace Support, and Mental Ill-Health in a Canadian Cohort of Healthcare Workers During the COVID-19 Pandemic

Development of a nomogram model for predicting the risk of insomnia in nurses who underwent the Long- COVID

Psychological status and related factors of resident physicians during the release of COVID-19 pandemic restrictions in China

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