Depression among healthcare workers in the Eastern Mediterranean Region: a systematic review and meta-analysis

Abraham, Amit; Chaabna, Karima; Doraiswamy, Sathyanarayanan; Bhagat, Sapna; Sheikh, Javaid I.; Mamtani, Ravinder; Cheema, Sohaila

doi:10.1186/s12960-021-00628-6

Cited by 34 publications

(39 citation statements)

References 68 publications

(57 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[ 5 – 7 ] A recent meta-analysis study showed that the prevalence of depression was 33.03% (95% CI: 27.40–29.19%) in healthcare workers in the Eastern Mediterranean Region. [ 8 ] Healthcare workers with depression may negatively affect the quality of their service to their patients, leading to patient dissatisfaction, medical mistakes, and associated financial costs. [ 9 – 11 ] In some severe cases, patient safety may be compromised.…”

Section: Introductionmentioning

confidence: 99%

Interaction of job-related psychological flexibility, coping style and personality types in depression in Chinese physicians: A cross-section study

Yao

Jing

2022

Medicine

View full text Add to dashboard Cite

To investigate the associations of job-related psychological flexibility, coping style and personality types with and their interactions in depression in Chinese physicians. A cross-sectional survey of 444 physicians was conducted by using the convenience sampling method in the municipal hospitals in Zhengzhou, Henan province. Center for Epidemiological Studies Depression, Work-related Acceptance and Action Questionnaire, the Simplified Coping Style Questionnaire and Eysenck Personality Questionnaire-Revision Short Scale of China were administered to each participant. Depression tendency scores were significantly higher in healthcare workers with intermediate title, age 31 and older, introvert unstable personality than other counterparts, ( P < .01). Female and extrovert stable healthcare workers had significantly higher coping score than male and other personality types ( P < .05). The scores of job-related psychological flexibility in healthcare workers with Introvert Stable or working in emergency department were significantly higher than their counterparts ( P < .01). General linear model algorithm of machine learning showed that Extrovert Unstable was the main risk factor for depression ( β = 6.74), followed by Extrovert Stable ( β = −4.90), negative coping, positive coping, and length of service. Multivariate regression models showed that a significant interaction existed between coping style, work-related psychological flexibility and Extroversion ( β = −0.103, P < .05), independently explaining 0.7% variance of depression, and that a significant interaction existed between coping style, work-related psychological flexibility and neuroticism (β = 0.116, P < .05), independently explaining 1.0% variance of depression. Interactions existed between personality types, coping style and work-related psychological flexibility in depression tendency in Chinese healthcare workers, with neuroticism (extrovert unstable) being a risk factor and extroversion (extrovert stable) being a protective factor. Precision prevention strategies could be made based on personality types to reduce depression in health workers.

show abstract

Section: Introductionmentioning

confidence: 99%

Interaction of job-related psychological flexibility, coping style and personality types in depression in Chinese physicians: A cross-section study

Yao

Jing

2022

Medicine

View full text Add to dashboard Cite

show abstract

“…Previous research findings have demonstrated increased levels of depression, insomnia, anxiety, chronic fatigue, and stress among health care workers during previous epidemics of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) [6][7][8]. Despite reports of high prevalence of psychological burden pre-COVID-19 pandemic, these front-line responders have been at the epicentre of the global fight against the COVID-19 pandemic with limited resources at their disposal.…”

mentioning

confidence: 99%

Prevalence of depression, anxiety, and stress among first responders for medical emergencies during COVID-19 pandemic: A meta-analysis

et al. 2022

View full text Add to dashboard Cite

Background The COVID-19 pandemic has been shown to cause enormous psychological burden among health care workers, including first responders. However, psychological well-being of first responders, essential in the fight against COVID-19 pandemic, has often been ignored. We performed the first meta-analysis to explore the prevalence of 1) depression, 2) anxiety, and 3) stress among first responders for medical emergencies during the COVID-19 pandemic. Methods A comprehensive search was conducted in Embase, CINAHL, Web of Science, PsychInfo, PubMed, and the WHO COVID-19 database from 2020. The Freeman-Tukey double-arcsine transformation model in R-software determined the pooled prevalence and Comprehensive Meta-Analysis for associated factors of depression, anxiety, and stress with corresponding 95% confidence intervals (CI). The Cochrane Q, τ 2 , and I 2 statistics were used to examine heterogeneity. Sub-group analysis was conducted to identify moderator variables. Results We identified 765 records, from which 17 studies were included with 8096 first responders. The pooled prevalence was 31% (95% CI = 21%-41%) for depression; 67% (95% CI = 64%-70%) for mild depression, 24% (95% CI = 17%-31%) for moderate depression, and 16% (95% CI = 4%-34%) for severe depression. The pooled prevalence for anxiety was 32% (95% CI = 20%-44%); 60% (95% CI = 46%-73%) for mild anxiety, 27% (95% CI = 14%–42%) for moderate anxiety, and 14% (95% CI = 7%-22%) for severe anxiety. The pooled prevalence for stress was 17% (95% CI = 4%-34%); 58% (95% CI = 38%-77%) for mild stress, 22% (95% CI = 5%-44%) for moderate stress, and 19% (95% CI = 5%-37%) for severe stress. The prevalence of depression was 37% (95% CI = 25%-52%) for paramedics, 28% (95% CI = 12%-54%) for EMS personnel and 22% (95% CI = 13%-33%) for police. Similarly, the prevalence of anxiety was 38% (95% CI = 20%-60%) for paramedics, 28% (95% CI = 11%-53%) for EMS personnel, and 19% (95% CI = 10%-32%) for police. Married responders were likely at risk for depression (1.50, 95% CI = 1.26-1.78) and anxiety (1.94, 95% CI = 1.62-2.33), while unmarried responders were less likely at risk for depression (0.67, 95% CI = 0.56-0.79) and anxiety (0.50, 95% CI = 0.43-0.63). Conclusions High prevalence of depression, anxiety, and stress during the COVID-19 pandemic among first responders for medical emergencies emphasizes the need for monitoring their psychological well-being. Early assessment and management of mild depression, anxiety, and stress among first responders are crucial in preventing progression into moderate and severe types.

show abstract

“…One of the high-risk groups for poor mental health outcomes globally is healthcare workers (HCWs). More speci cally, studies have shown that they experience high levels of psychological distress and burnout such as depression, anxiety, and poor sleep quality due to their profession [2,3]. This is associated with distressing symptoms such as restlessness, anger, frustration, insomnia and fatigue [2].…”

Section: Introductionmentioning

confidence: 99%

“…This is associated with distressing symptoms such as restlessness, anger, frustration, insomnia and fatigue [2]. In high-income countries in 2015, the prevalence of depression among HCWs ranged from 21.53-32.77%, which was much higher than the global average of 4.4% [3].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of depression and its impact on quality of life among Afghan healthcare workers: A cross-sectional survey study

Mohammadi

Neyazi

Rangelova

et al. 2022

Preprint

View full text Add to dashboard Cite

Background According to the World Health Organization, approximately 280 million individuals worldwide suffer from depression. One occupational group that is more prone to mental health issues is healthcare workers (HCWs). However, very little is known about the mental health of HCWs in Afghanistan. Therefore, the present study estimated the prevalence of depression, quality of life (QOL) and related factors among Afghan HCWs. Methods A cross-sectional survey was administered in June 2022 to 299 healthcare workers in the Herat province of Afghanistan. The survey examined depression, its risk factors and predictors among HCWs. Results Depression was found among 73.6% of all the 299 participants. Low monthly income, working in a private hospital, and being a cigarette smoker were among the main variables associated with depression among Afghan HCWs. Multiple regression analysis indicated that field of work (OR = 095, p = .039), monthly income (OR=-.061, p < .001), job type (OR=-.194, p < .001), cigarette smoking (OR = .107, p = .014), a bad event during the past month (OR=-.122, p = .004), physical domain of quality of life (OR=-.004, p = .009), and psychological domain of quality of life (OR=-.006, p < .001) were significantly associated with depression. Conclusion The prevalence of depression is high among healthcare workers in the Herat province of Afghanistan. One of the variables found to have a major impact on the prevalence of depression was their monthly income. Considering its impact on quality of life and the overall quality of healthcare services, the government should implement regular screening for depression, psychological counselling services, and psychiatric treatment for vulnerable healthcare workers.

show abstract

Depression among healthcare workers in the Eastern Mediterranean Region: a systematic review and meta-analysis

Cited by 34 publications

References 68 publications

Interaction of job-related psychological flexibility, coping style and personality types in depression in Chinese physicians: A cross-section study

Interaction of job-related psychological flexibility, coping style and personality types in depression in Chinese physicians: A cross-section study

Prevalence of depression, anxiety, and stress among first responders for medical emergencies during COVID-19 pandemic: A meta-analysis

Prevalence of depression and its impact on quality of life among Afghan healthcare workers: A cross-sectional survey study

Contact Info

Product

Resources

About