Introduction: Coronavirus disease 2019 is a pandemic disease, requiring persons around the world to take immediate action to reduce the risk of infection. This study was aimed to summarize the patterns and determinants of coronavirus disease 2019 knowledge, attitude, and practice among general populations and health workers. Methods: A cross-sectional study from PubMed, HINARI, and Scopus were searched from March 16 to July 30, 2020. The review was done in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses–2009. Result: We found 56 articles upon the initial search. Finally, 21 studies were filtered to be studied in this systematic review. Overall, the majority of the articles that were previously published had good knowledge about coronavirus disease 2019 that lies in the ranges from 40% to 99.5%. A good attitude lies in the ranges from 70% to 97.1%. Among impact of coronavirus disease 2019 on mental health, only anxiety was reported that ranges from 24.6% to 96.3%. We found the variable practice towards combating coronavirus disease 2019. Several factors were associated with poor knowledge, attitudes, and practice skills regarding the pandemic of coronavirus disease 2019 such as level of education, occupation, income, gender, age, residence, work experience, religion, having media, marital status, and race. Conclusion: The majority of the articles that were previously published had found good knowledge and attitude about coronavirus disease 2019 and variable reports for practice to combat the disease. Most of them were severely worried about the disease. Therefore, the mental effect of the coronavirus disease 2019 should be studied at large, and every country should implement the strategy to combat the disease to increase the level of practice.

Introduction: The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular disease. The aim of this study was to assess glycemic control level and its predictors among adult patients with diabetes. Methods: A prospective observational study was conducted among patients with diabetes during follow-up at an ambulatory clinic of Mettu Karl referral hospital from 15 April to 09 August 2019. The consecutive sampling method was used to collect data, following which the data were entered into Epidata manager version Digital Features To view digital features for this article go to

Purpose Diabetes mellitus complications are responsible for increased disability, morbidity, and mortality. This study aimed to assess prevalence, patterns, and predictors of chronic complications of diabetes among people with diabetes. Patients and Methods The study was conducted using a prospective observational study design which was done on people with diabetes attending the ambulatory clinic of Mettu Karl Referral Hospital. The data were collected using a consecutive type of sampling technique from April 15 to August 9, 2019. The data were entered into Epidata manager version 4.4.2. Logistic regression analysis was done to identify predictors of chronic complications of diabetes. Results A total of 330 participants were included in this study. The mean age of participants was 49.9±14.2, and 156 (47.3%) were 41 to 60 years old. About 127 (38.5%) had one or more chronic complications. The predictors of chronic diabetes complications were resident in urban areas [AOR: 1.94; 95% CI: (1.17, 3.20); p = 0.010], duration of diabetes 10 years [AOR: 2.05, 95% CI: (1.21, 3.47); p = 0.007], hypertension [AOR: 4.19; 95% CI: (2.54, 6.91); p < 0.001] and poor glycemic control [AOR: 2.82; 95% CI: (1.53, 5.21); p = 0.001]. Conclusion Almost two-fifth of the study participants had chronic complications of diabetes. Residents in urban areas, longer duration of diabetes, hypertension and poor glycemic control were predictors of chronic diabetes complications. It is important to achieve good glycemic control and manage comorbid diseases like hypertension to minimize the risk of chronic diabetes complications.

Background: The coronavirus disease-19 has been labeled a pandemic by World Health Organization. By virtue of its highly contagious attribution, this virus has spread across over the world and the numbers are still rapidly increasing. Increasing numbers of confirmed cases and mortality rates of coronavirus disease 2019 are occurring in several countries. The aim of this systematic review was to summarize clinical presentations of this newly emerging coronavirus disease. Methods: A systematic review of published articles was conducted using databases such as PubMed, Scopus, and Google Scholar. A search was conducted on 18 to 25 April 2020. Search terms included “novel coronavirus,” “2019 novel coronavirus,” “Coronavirus disease 2019,” “COVID-19,” “severe acute respiratory syndrome coronavirus 2.” The studies published in the English language and their full texts available were included. The eligible study designs were cross-sectional, case-control, cohort, and case series. Results: Thirty (30) studies which contain 4829 participants were included in this review. From included studies, the age of infected patients were found in range 0.25 to 94 years. The main clinical symptoms of COVID-19 patients were fever (77.6%), cough (64.8%), fatigue (27.2%), dyspnea (21.2%) and sputum production (18.0%). Conclusion: This systematic review identified that fever, cough, fatigue, and dyspnea were the most common reported clinical features of coronavirus disease 19. Understanding of the clinical spectrum and impact of this novel disease is important for all individuals, especially for healthcare workers to manage and prevent it.

Background Novel coronavirus disease-19 (COVID-19) was declared as a global pandemic in 2020. With the spread of the disease, a better understanding of patient outcomes associated with their symptoms in diverse geographic levels is vital. This study aimed to evaluate clinical outcomes of COVID-19 patients by disease symptoms in Ilam province, Iran. Methods This was a cross-sectional study. Data were collected from integrated health system records for all hospitals affiliated with the Ilam University of Medical Sciences between 26-Jan-2020 and 02-May-2020. All patients with a confirmed positive test were included in this study. Descriptive analyses, chi-square test, and binary logistic regression model were performed by using SPSS version 22. Results The mean age of participants was 46.47 ± 18.24 years. Of the 3608 patients, 3477 (96.1%) were discharged, and 129 (3.9%) died. 54.2% of the patients were male and were in the age group of 30–40 years. Cough, sore throat, shortness of breath or difficulty breathing, and fever or chills were the most common symptoms. Patients with symptoms of shortness of breath, abnormal radiographic findings of the chest, and chest pain and pressure were relatively more likely to die. According to binary logistic regression results, the probability of death in patients with shortness of breath, abnormal chest radiographic findings, and chest pain was 1.34, 1.24, and 1.32 times higher, respectively, than for those without. Conclusion Our study provides evidence that the presentation of some symptoms significantly impacts outcomes of patients infected with SARS-CoV-2. Early detection of symptoms and proper management of outcomes can reduce mortality in patients with COVID-19.

Background. There are controversial suggestions about steroid use to treat patients infected with COVID-19. Conclusive evidence regarding the use of steroids to treat COVID-19 is still lacking. This meta-analysis aimed to determine the mortality and severity associated with corticosteroid therapy compared to noncorticosteroid treatment in patients with COVID-19. Methods. The information was collected from electronic databases: PubMed, CINAHL, the Cochrane Library, clinicaltrials.gov, and Google scholar through January 30, 2021. Risk ratios (RRs) with 95% confidence intervals (CIs) were performed using random effect models. Endnote citation manager software version X9 for Windows was utilized to collect and organize search outcomes (into relevant and irrelevant studies) and to remove duplicate articles. Results. Thirty-two studies were included in the meta-analysis, including 14,659 COVID-19 patients. No significant differences in mortality between the steroid and nonsteroid treatment groups (RR = 0.95; 95% CI: 0.80–1.13; p  = 0.57). There was no significant reduction in mortality in critically ill COVID-19 patients treated with corticosteroid (RR = 0.89; 95% CI: 0.62–1.27; p  = 0.52). Significant differences were observed in severe disease conditions between the steroid and nonsteroid treatment groups (RR = 1.10; 95% CI, 1.03–1.19, p  = 0.007). Conclusion. There was no significant difference in all-cause mortality between the steroid and nonsteroid treatment users’ of COVID-19 patients. There was no significant reduction of all-cause mortality in critically ill COVID-19 patients treated with corticosteroids.

Background Adverse drug events (ADEs) are common complications of clinical care resulting in significant morbidity, mortality, and high clinical expenditure. Population-level estimates of inpatient ADEs are limited in Ethiopia. Objective This study aimed to assess the incidence, contributing factors, severity, and preventability of ADEs among hospitalized adult patients at Jimma Medical Center, Ethiopia. Methods A prospective observational study design was conducted among hospitalized adult patients at tertiary hospital in Ethiopia. A structured data collection tool was prepared from relevant literatures for data collection. Data were analyzed using statistical software. Logistic regression was performed to identify factors contributing to ADE occurrence. P values < 0.05 were considered statistically significant. Results A total of 319 patients were included with follow-up period of 5667 person-days. About 50.5% were women. The mean (SD) age of patients was 43 (17.6) years. One hundred sixteen ADEs were identified with the incidence of 36.4 (95% CI, 30.1–43.6) per 100 admissions and 20.5 (95% CI, 16.9–24.6) per 1000 person-days. Antituberculosis agents (adjusted odds ratio [aOR] = 2.52; 95% CI, 1.06–5.98; P = 0.036), disease of the circulatory system (aOR = 2.67; 95% CI, 1.46–4.89; P = 0.001), disease of the digestive system (aOR = 2.84; 95% CI, 1.45–5.57; P = 0.002), being on medication during admission (aOR = 3.09; 95% CI, 1.77–5.41; P < 0.001), and hospital stay more than 2 weeks (aOR = 3.93; 95% CI, 1.39–11.12; P = 0.010) were independent predictors of ADE occurrence. Conclusions One in every 4 patients admitted to the hospital experienced ADEs during their hospital stay. Most ADEs were moderate in severity. About two-thirds of the ADEs identified were deemed probably or definitely preventable. Therefore, it is high time to reinforce large-scale efforts to redesign safer, higher quality health care systems to adequately tackle the problem.

No abstract