Selected article for: "chi square test and logistic regression analysis"
Author: Mulatu, Hailu Abera; Tesfaye, Muluken; Woldeyes, Esubalew; Bayisa, Tola; Fisseha, Henok; Kassu, Rodas Asrat
Title: The prevalence of common mental disorders among healthcare professionals during the COVID-19 pandemic at a tertiary Hospital in Addis Ababa, Ethiopia
  • Cord-id: vuv4h8zo
  • Document date: 2021_10_8
    • ID: vuv4h8zo
    Snippet: BACKGROUND: Coronavirus disease 2019 (COVID-19) has resulted in unprecedented morbidity, mortality, and health system crisis leading to a significant psychological destress on healthcare workers (HCWs). The study aimed to determine the prevalence of symptoms of common mental disorders among HCWs during the COVID-19 pandemic at St. Paul's Hospital, Ethiopia. METHODS: A self-administered cross-sectional study was conducted to collect socio-demographic information and symptoms of mental disorders u
    Document: BACKGROUND: Coronavirus disease 2019 (COVID-19) has resulted in unprecedented morbidity, mortality, and health system crisis leading to a significant psychological destress on healthcare workers (HCWs). The study aimed to determine the prevalence of symptoms of common mental disorders among HCWs during the COVID-19 pandemic at St. Paul's Hospital, Ethiopia. METHODS: A self-administered cross-sectional study was conducted to collect socio-demographic information and symptoms of mental disorders using validated measurement tools. Accordingly, PHQ-9, GAD-7, ISI, and IES-R were used to assess the presence of symptoms of depression, anxiety, insomnia, and distress, respectively. Chi-square test, non-parametric, and logistic regression analysis were used to detect risk factors for common mental disorders. RESULTS: A total of 420 healthcare workers participated in the survey. The prevalence of symptoms of depression, anxiety, insomnia, and psychological distress was 20.2%, 21.9%, 12.4%, and 15.5% respectively. Frontline HCWs had higher scores of mental health symptoms than non-frontline healthcare workers. Binary logistic regression analysis showed that being married was associated with a high level of depression. Furthermore, working in a frontline position was an independent risk factor associated with a high-level of symptoms of depression, anxiety, and psychological distress. LIMITATIONS: It is a single-center cross-sectional study and the findings may not be nationally representative or reveal causality. CONCLUSIONS: A significant proportion of healthcare workers are suffering from symptoms of mental disorders. Frontline HCWs were at a greater risk of severe symptoms. Therefore, psychological interventions should be implemented to support health professionals, especially frontline workers.

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