Ethiopian Medical Journal最新文献

Background: Different anti-infective drugs have been proposed for the treatment of patients with COVID-19. We carried out a network meta-analysis to assess their relative efficacy and safety.

Methods: We searched relevant databases for all randomized controlled trials that reported the efficacy and or safety of any anti-infective drugs published up to April 30, 2022 for different outcomes. We did both pairwise and network meta-analysis with 95% confidence intervals using a fixed-effect model. We assessed studies for quality of evidence using an extension of the standard Grading of Recommendations, Assessment, Development and Evaluation approach considering P<0.05 to be statistically significant.

Results: We included 68 RCTs for 27,680 participants on 22 anti-infective drugs. For clinical recovery at 14 days Ivermectin (OR= 3.00, 95%CI: [1.82; 4.96]; p < 0.0001; moderate certainty evidence), Baricitinib plus Remdesivir (OR= 2.20, 95%CI: [1.35; 3.53]; p = 0.005; low certainty evidence), and Favipiravir (OR= 2.16, 95%CI: [1.27; 3.68]; p = 0.004; moderate certainty evidence) were statistically effective than standard of care. There was no statistically significant difference between treatments for the viral clearance at 14 days outcome and standard of care. In terms of death outcome, only combined therapy of Baricitinib and Remdesivir showed statistically significant risks of ratio (RR= 0.47, 95%CI: [0.23; 0.99]; p = 0.03). Arbidol (RR= 0.46, 95% CI: [0.23; 0.95]; p = 0.04) was statistically safe drug than standard of care.

Conclusion: This Network Meta-analysis suggests that Baricitinib plus Remdesivir is more effective than the other anti-infective drugs in treating patients with COVID-19 in terms of clinical recovery at 14 days, mortality and adverse events outcomes.

Introduction: Despite major advances in Corona Virus Disease 2019 (COVID-19) vaccine development, vaccine hesitancy threatens the progress made to curb the disease. We aimed to assess the level of COVID-19 vaccine hesitancy and the underlying determinants in Ethiopia.

Methods: A pilot mobile phone survey of adults in Ethiopia with mobile phones selected randomly.

Results: The pilot survey included 614 participants who were predominantly male (71.7%), and married (68.2%) with a median age of 34 years (interquartile range [IQR] = 14.0). Overall, 150 (24.4%) participants reported to have been vaccinated; either the first [57 (38%)], second [19 (12.7%)], or both [74 (49.3%)] doses. About one in six participants (16.3%; n=100) reported vaccine hesitancy, with a significant difference by employment status, with self-employed more likely to show hesitancy [adjusted odds ratio (AOR) 1.85, 95% CI (1.05-3.27)], and region. Major drivers of hesitancy were lack of interest [n=30 (30%)], fear of side-effects [n=24 (24%)], and lack of trust in the vaccine [n=13 (13%)]. Having chronic disease conditions in the family had no association with hesitancy (p > 0.05).

Conclusion: While representativeness of the sample is an issue, the findings show a relatively low rate of COVID-19 vaccine hesitancy among the Ethiopian population. The major drivers of hesitancy, lack of interest, fear of side-effects, and lack of trust in the vaccine, may be reversed by disseminating accurate and timely information using credible sources across communities.

Introduction: The Ethiopian Ministry of Health strongly recommends that anyone, regardless of vaccination status, wears a standard face mask consistently when in public. This study aimed to assess the self-reported use and predictors of wearing face masks in the general population in Ethiopia.

Methods: This was a population-based cross-sectional study using a telephone survey. Adults living in Ethiopia were randomly selected from the Ethio Telecom list of mobile phone numbers and interviewed about their mask-wearing practice and individual and household-level factors that could impact on the use of face masking. Multivariable logistic regression was used to measure associations.

Results: A total of 614 participants were interviewed from September to November 2021. The prevalence of self-reported face mask use when in public was 81.1%. Living outside Addis Ababa, including Oromia [adjusted odds ratio [(AOR) 0.30, 95% confidence interval (CI) (0.14, 0.63)], Amhara [AOR 0.11, 95% CI (0.05, 0.23)], and Southern Nations, Nationalities and People's Region [AOR 0.31, 95% CI (0.12-0.79)] and being divorced or widowed [AOR 0.18, 95% CI (0.06, 0.62)] were found to be inversely associated with face mask use. Female gender [AOR 1.91, 95% CI (1.02, 3.58)] and older age [age ≥ 50, AOR 2.96, 95% CI (1.09-7.97)] were positively associated with the use of face masks. Attending social events [AOR 0.51, 95% CI (0.31-0.82)], was negatively associated with the use of face masks.

Conclusion: Self-reported use of face masks was relatively high nationally, but inconsistent among different regions and demographics. The findings imply that policies and messaging campaigns may need to focus on specific populations and behaviors in this ongoing pandemic.

Introduction: The Coronavirus Disease 2019 (COVID-19) pandemic substantially disrupts population health and wellbeing globally, while little is known about the effect on mental wellbeing in developing countries. This study aimed to assess the impact of COVID-19 on mental wellbeing of individuals and households in Ethiopia.

Methods: A cross-sectional, national pilot survey was conducted through phone interviews from September to November 2021. Mental wellbeing and disability were assessed using a questionnaire adapted from the 5-item World Health Organization Wellbeing Index (WHO-5), the Oslo Social Support Scale (OSSS-3), and the WHO Disability Assessment Scale (WHODAS 2.0).

Results: A total of 614 adults completed the pilot survey. The mean age was 36 years (standard deviation 11) and 71.7% were male. Mental wellbeing was poor in 218 (35.5%) participants. The most important predictors for poor mental wellbeing were rural residence (Adjusted Odds Ratio [AOR] 1.89; 95% CI 1.14, 3.14; p=0.012), perceived COVID-19 risk (AOR 1.75; 95% CI 1.18, 2.60; p=0.005), household stress (AOR 2.09; 95% CI 1.31, 3.34; p=0.002), experience of symptom of COVID-19 in the household (AOR 2.14; 95% CI 1.13, 4.04; p=0.019), and poor social support (AOR 2.43; 95% CI 1.51, 3.91; p<0.001).

Conclusion: The study provides evidence that COVID-19 had a significant adverse impact on the mental wellbeing of individuals and households in Ethiopia. Further studies are needed to understand in detail the implications of the pandemic and interventions needed to keep mental wellbing of citizens.

Introduction: The COVD-19 pandemic has resulted in unprecedented global health and economic crisis, particularly in countries struggling with poverty. We conducted a national survey to understand the economic and health impacts of COVID-19 in Ethiopia.

Methods: A pilot, population-based, cross-sectional survey was conducted among adults randomly selected from the Ethio Telecom list of mobile phone numbers. Participants underwent a comprehensive phone interview about the impact of COVID-19 on their economic well-being and the health-related risks associated with COVID-19.

Results: Of 4,180 calls attempted, 1194 were answered, of which a successful interview was made with 614 participants. COVID-19 affected the family income of 343 [55.9%] participants, 56 [9.1%] lost their job, 105 [17.1%] perceived high stress in their household, and 7 [1.14%] reported death in their family in the past month. The odds of having a decreased income due to COVID-19 were 2.4 times higher among self-employed [adjusted odds ratio (AOR) 2.4, 95% CI (1.58-3.77)] and 2.8 times higher among unemployed [AOR 2.8, 95% CI (1.35-5.85)] participants. Two-hundred twenty-one [36%] participants had comorbidity in their household with hypertension, 72 [11.7%], diabetes,50 [8.1%], asthma, 48 [7.8%], and other chronic diseases, 51 [8.4%]. Forty-six [7.5%] participants had COVID-like symptoms in the previous month, where cough, headache, and fatigue were the most common.

Conclusion: COVID-19 posed serious economic pressure on households. Self-employed and unemployed were the most affected. Continuous surveillance is needed to actively monitor the impact of COVID-19 in the community and safeguard the economic and health well-being of individuals and households.