Background The very unprecedented virus causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continued causing catastrophes in economy and loss of human lives. Despite countries’ urgent and resilient public health actions against the COVID-19 pandemic, the disease is causing a large number of deaths. However, predictors of mortality among hospitalized COVID-19 patients have not been well investigated in Ethiopia. Therefore, this study aimed to identify the predictors of mortality among hospitalized COVID-19 patients at a tertiary care hospital in Ethiopia. Methods A hospital-based retrospective cohort design study was implemented among hospitalized COVID-19 patients at a tertiary care hospital in Harar, Ethiopia from March 20 to August 20, 2021. Data of 531 admitted patients were entered using Epi-data 3.1 and exported to STATA 14.2 for analysis. Binary logistic regression was used to identify significant predictors of outcome variables with an adjusted odds ratio (AOR) with a 95% confidence interval. Results Of the total 531 study participants, 101 deaths occurred. The mortality rate was 16.2 per 1000 person-days of observation with median survival time of 44 days with IQR [28, 74]. Smoking history [AOR=2.55, 95% CI (1.15, 5.65)], alcohol history [AOR=2.3, 95% CI (1.06, 4.97)], comorbidities [AOR=2.95, 95% CI (1.26, 6.91)], and increasing oxygen saturation [AOR=0.92, 95% CI (0.89, 0.95)], and lymphocyte count [AOR=0.90, 95% CI (0.88, 0.97)] were independent significant predictors of death from Covid-19. Conclusion The incidence of mortality among hospitalized COVID-19 patients was found to be high. Devising individual, tailored management for patients with “risk” behaviors, comorbid conditions, and poor prognostic markers such as lymphopenia and low oxygen saturation, may reduce the incidence of death among hospitalized COVID-19 patients.

Introduction: Antenatal care offers a forum for critical healthcare functions, including health education, screening, and disease prevention. Several pocket studies carried out in specific localities of East African countries were investigated. However, these were neither representative of the country nor specific to the recommended minimum of four antenatal care visits. Therefore, this study aimed to identify factors associated with quality of antenatal care among pregnant women in East Africa. Methods: A secondary data analysis was done using Demographic and Health Survey data of six East African Countries from 2008 to 2018. A total of 46,656 women who gave birth in the 5 years preceding the survey were included in this study. A multilevel mixed-effect logistic regression model was fitted. Variables with a p-value < 0.05 were declared as significant factors associated with the quality of antenatal care. Results: The magnitude of quality of antenatal care in East Africa was 11.16% (95% confidence interval: 10.87–11.45). Women of age 35–49 (adjusted odds ratio = 1.51; 95% confidence interval: 1.25–1.80), primary education (adjusted odds ratio = 1.35; 95% confidence interval: 1.18–1.55), richest wealth index (adjusted odds ratio = 2.35; 95% confidence interval: 2.02–2.74), and rural resident (adjusted odds ratio = 0.62; 95% confidence interval: 0.55–0.69) were among factors significantly associated with quality of antenatal care. Conclusion: The magnitude of antenatal care quality was low in East Africa. Age, level of education, wealth index, birth order, husband/partners’ level of education, residence, and living countries were among the factors associated with the quality of antenatal care. It would be useful to increase financial support strategies that enable mothers from poor households to use health services and enhance women’s understanding of the significance of antenatal care utilization through health education targeting both women and partners with no education is very crucial.

Background. Diarrheal diseases are the leading cause of preventable death, especially among under-five children in developing countries, including Ethiopia. Although efforts have been made to reduce the morbidity and mortality resulting from diarrheal diseases, there is scarce information on the progress of the interventions against the burdens. Therefore, this study aimed to assess the prevalence of diarrhea and its associated factors in under-five children in Horo Guduru Wollega Zone, Oromia Region, Western Ethiopia. Methods. A community-based cross-sectional study was conducted. Of 12,316 households, 620 households that had under-five children were selected by simple random sampling technique from randomly selected kebeles. Before data collection, a pretest of the structured questionnaires was done on nonselected kebeles. Binary logistic regression was used to assess the association of the diarrheal diseases with independent variables. Finally, the odds ratio along with a 95% confidence interval was used to report the significant association between the outcome variable and its associated factors. A P value of ≤0.05 was considered statistically significant Results. The prevalence of diarrhea among under-five children was 149 (24%) (95% CI: 20.8, 27.3). Diarrhea was significantly associated with poor knowledge of mothers/caretakers on diarrhea prevention methods (AOR: 2.05, 95% CI (1.14, 3.69), being in the age group of 6–11(AOR = 1.546 (1.68, 3.52), and 12–23 months (AOR = 1.485 (1.84, 2.63)), families with poor wealth index (AOR: 2.41, 95% CI (1.29, 4.51)), children who were not vaccinated against measles (AOR: 4.73, 95% CI (2.43, 9.20)), unsafe child feces disposal (AOR = 3.75; 95% CI (1.91, 7.39)), inappropriate liquid waste disposal (AOR = 3.73 (1.94, 7.42)), and having two or more siblings (AOR: 3.11, 95% CI (1.81, 5.35)). Conclusion and Remarks. The prevalence of diarrhea among under-five children was high. There was a statistically significant association between diarrhea and age of the child (6–11 and 12–23), poor knowledge of mothers/caretakers on diarrhea prevention methods, families with poor wealth index, being unvaccinated against measles, improper liquid waste disposal, unsafe child feces disposal, and having at least two siblings. The findings have a significant policy inference for childhood diarrheal disease prevention programs. Therefore, educating mothers/caregivers on diarrheal disease prevention methods, child spacing, regular hand washing practice after disposing child feces, safely disposing liquid waste, and vaccinating all eligible children against measles should be a priority area of intervention for diarrheal disease prevention. Moreover, since these associated factors are preventable, the government needs to strengthen the health extension workers program implementations to reduce childhood diarrhea.

Introduction: The hospital admissions load and how long each patient will stay in the hospital should be known to prevent the overwhelming of the health system during coronavirus disease 2019 era. Even though the length of hospital stay could vary due to different factors, the factors that affect the stay are not well characterized yet, particularly in the resource-limited settings. Knowing the time spent by the coronavirus disease 2019 patients in the hospital and its associated factors are important to prioritize mobilizing resources, such as beds, pharmacological and non-pharmacological supplies, and health personnel. Therefore, this study was intended to determine the median and identify factors associated with the length of hospital stay among coronavirus disease 2019 cases. Methods: A facility-based cross-sectional study design was implemented on 394 randomly selected hospitalized patients. Epidata Version 3.1 software was used for data entry, and further analysis was done using Stata version 14.2 software. Frequencies, median with interquartile range, and chi-square test were performed. A logistic regression model was used to identify the association between outcome and explanatory variables. The statistical significance was declared at p-value of less than 0.05 at 95% confidence interval. Results: The analysis was done for a total of 394 cases admitted for coronavirus disease 2019. The median age of the study participants was 40 years with interquartile range of 28–60 years. The median length of hospital stay was 12 days with the interquartile range of 8–17 days. The patients presented with shortness of breathing (AOR = 2.74, 95% confidence interval: 1.33–5.66), incident organ failure (AOR = 3.65, 95% confidence interval: 1.15–11.58), increased leukocyte count (AOR = 0.95; 95% confidence interval: 0.91–0.99), and blood urea nitrogen (AOR = 0.98, 95% confidence interval: 0.97–0.99) had a significant association with prolonged hospital stay. Conclusion: This study demonstrated that the proportion of patients stayed above the median hospital stay of the total patients was 185 (46.9%) with the median length of 12 (interquartile range = 8–17) days. Patients presented with difficulty of breathing, had incident organ failure, had decreased leukocyte, and blood urea nitrogen level should be estimated to stay longer in the hospital. Hence, patients with prolonged hospital length of stay associating factors should be expected to consume more pharmacological and non-pharmacological resources during hospital care receiving.

Background: Relapse is one of the difficulties in managing severe acute malnutrition in children under the age of five. The evidence on post-discharge outcomes following initial recovery from severe acute malnutrition is still limited. As a result, the purpose of this study was to determine the magnitude of relapse after cure for severe acute malnutrition from the Outpatient Treatment Program and associated factors in children aged 6-59 months in Eastern Ethiopia. Methods: A community-based cross-sectional study was conducted from 223 children aged 6 to 59 months after discharge from an outpatient treatment program and stabilization center for severe acute malnutrition in the past one year. Primary data collected from mothers/caregivers in the Kurfa Chelle district were identified through health management information system reports and outpatient or stabilization center registration. The children's anthropometric, socioeconomic, and feeding practices were collected and analyzed, the data were entered into Epi-data version 3.1 and exported to STATA version 14.2. The Adjusted Odds Ratio was calculated to identify associated factors, and a p-value of 0.05 at the 95% confidence interval was considered statistically significant. Results: Out of 223 study participants according to this study, 11.36% of children recovered and relapsed in the previous year, 95% CI: (4.50%, 29.06%). Presences of Edema on admission (OR=10.02; 95% CI: 10.02 (1.6 - 15), drinking water from a spring source (OR=15.9; CI (2.2 - 18.3), and children living in food insecure households (OR=1.85; 95% CI (1.23, 2.80) were identified as risk factors for relapse after cure from severe acute malnutrition. Conclusion: Within three months of discharge, the magnitude of relapse after cure for severe acute malnutrition is 11.36%. As a result, community-based screening and therapeutic interventions should be strengthened in order to closely monitor the household care for children discharged from the health facility after being cured of SAM, with special attention paid to children from food insecure households and using unprotected sources.