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Prevalence of depression, anxiety, and stress among first responders for medical emergencies during COVID-19 pandemic: A meta-analysis.
Huang, Garry; Chu, Hsin; Chen, Ruey; Liu, Doresses; Banda, Kondwani Joseph; O'Brien, Anthony Paul; Jen, Hsiu-Ju; Chiang, Kai-Jo; Chiou, Jeng-Fong; Chou, Kuei-Ru.
  • Huang G; School of Health Care Administration, College of Management, Taipei Medical University, Taipei, Taiwan.
  • Chu H; Australasian College of Paramedicine, Australia.
  • Chen R; Australian Institute of Project Management, Australia.
  • Liu D; Institute of Aerospace and Undersea Medicine, School of Medicine, National Defense Medical Center, Taipei, Taiwan.
  • Banda KJ; Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • O'Brien AP; Department of Nursing, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan.
  • Jen HJ; Post-Baccalaureate Program in Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Chiang KJ; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Chiou JF; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Chou KR; Department of Nursing, Wan Fang Hospital, Taipei Medical University.
J Glob Health ; 12: 05028, 2022 Jul 25.
Article in English | MEDLINE | ID: covidwho-1964527
ABSTRACT

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, τ2, and I2 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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Emergency Responders / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Reviews Limits: Humans Language: English Journal: J Glob Health Year: 2022 Document Type: Article Affiliation country: Jogh.12.05028

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Emergency Responders / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Reviews Limits: Humans Language: English Journal: J Glob Health Year: 2022 Document Type: Article Affiliation country: Jogh.12.05028