ABSTRACT
[This corrects the article DOI: 10.1016/j.jadr.2022.100326.].
ABSTRACT
BACKGROUND: This study was designed to conduct a systematic review and meta-analysis of existing literature examining the prevalence of depression among hospital staff and the impact of various factors with a view to organize related programs for reducing the complications of this mental disorder. METHOD: A total of 24 studies were extracted from a literature search conducted through electronic databases including PubMed, EMBASE, Scopus, and Web of Science from January 2019 to February 2021. FINDINGS: Following the extraction of data, the total number of hospital staff was reported to be 42,010. Based on the results, depression prevalence among them was 26% (95% Cl, 0.18-0.35). Furthermore correlation coefficients revealed a significant relationship between the rate of depression and variables including type of career, age, and gender (P-value < 0.05). The highest and lowest prevalence of depressive disorder among hospital staff was in Africa 82% (95% Cl, 0.35-0.97) and Asia 19% (95% Cl, 0.11-0.29). CONCLUSION: Our findings affirmed that female workers who aged between 29 and 35 and worked as administrative and support staff in hospitals were among the population being at higher risk of developing mental health problems during the COVID-19 pandemic.
ABSTRACT
BACKGROUND: Regulation of the immune system is critical for fighting against viral infections. Both suppression and hyperactivity of the immune system result in failure of treatment. The present study was designed to show the effects of immune system-related medications on mortality and length of stay (LOS) in a cohort of Iranian patients with coronavirus disease 2019 (COVID-19). METHODS: A data mining study was performed on 6417 cases of COVID-19 covered by 17 educational hospitals of Iran University of Medical Sciences, Tehran. Association of a researcher-designed drug list with death and LOS was studied. For death outcome, logistic regression was used reporting odds ratio (OR) with 95% confidence interval (CI). For LOS, right censored Poisson regression was used reporting incidence rate ratio (IRR) with 95% CI. RESULTS: Among the corticosteroids, prednisolone was a risk factor on death (OR = 1.41, 95%CI = 1.03 - 1.94). This association was increased after adjustment of age interactions (OR = 3.45, 95%CI = 1.01 - 11.81) and was removed after adjustment of ICU admission interactions (OR = 2.64, 95%CI = 0.70 - 9.92). Hydroxychloroquine showed a protecting effect on death (OR = 0.735, 95%CI = 0.627 - 0.862); however, this association was removed after adjustment of age interactions (OR = 0.76, 95%CI = 0.41 - 1.40). Among the antivirals, oseltamivir showed a protecting effect on death (OR = 0.628, 95%CI = 0.451 - 0.873); however, this association was removed after adjustment of age interactions (OR = 0.45, 95%CI = 0.11 - 1.82). For reduction of LOS, the only significant association was for hydroxychloroquine (IRR = 0.85, 95%CI = 0.79 - 0.92). CONCLUSION: The results of such data mining studies can be used in clinics until completing the evidence. Hydroxychloroquine may reduce mortality in some specific groups; however, its association may be confounded by some latent variables and unknown interactions. Administration of corticosteroids should be based on the conditions of each case.