Food handler's level of COVID-19 prevention practice and preparedness of food and drinking establishments to combat the pandemic in Eastern Ethiopia.

Background: Food and drinking establishments are potential hotspots for the spread of coronavirus. Food handler's have a higher risk of contracting the disease and transmitting it to others. The aim of this study was to assess the food handler's level of preventive practices toward COVID-19 and the preparedness of food and drinking establishments to tackle the pandemic in Eastern Ethiopia. Methods: The cross-sectional study design was conducted from September 1 to 30, 2020. A stratified sampling technique was used to select 276 licensed public food and drinking establishments and a simple random sampling technique was employed to select 422 food handlers from the selected establishments. A face-to-face interview and checklist-based observation were used to collect data. The collected data were entered into Epidata 3.1 and exported to STATA version 16 for analysis. Binary logistic regression analysis were conducted to identify factors associated with COVID-19 preventive practice. Statistical significance was declared at p < 0.05. Results: About 406 food handler's participated in this study, making the response rate 96.2%. The study showed that 38.4% of study participants (95% CI: 33.5, 43.1) had good preventive practices for COVID-19. Only 10.5% of food and drinking establishments fulfilled all requirements to prevent COVID-19 transmission. Being male [AOR = 0.61, 95% CI(0.61, (0.39, 0.93)], attending secondary education [AOR = 2.20, (95% CI: 1.37, 3.53)], having a favorable attitude toward COVID-19 [AOR = 1.89, (95% CI: 1.22, 2.95)], and having good knowledge about COVID-19 [AOR = 1.78, (95% CI: 1.13, 2.81)] were significantly associated with the level of COVID-19 preventive practices. Conclusion: The level of good COVID-19 preventive practice was found to be low among the food handler's. Only one in ten food and drink establishments fulfilled the national guideline for preventing COVID-19 transmission. Being male, attending secondary education, having knowledge about COVID-19, and having a favorable attitude toward COVID-19 were significantly associated with good COVID-19 preventive practices. A vibrant guideline on prevention practices should be in place at all establishments, and compliance should be monitored. Local health office experts should take comprehensive measures to make all food and drinking establishments accountable for practicing all preventive measures.

Association of Pre-Existing Comorbidities with Disease Severity Among COVID-19 Patients in Eastern Ethiopia.

Background: Comorbidities and advanced age increase the risk of severe outcomes of COVID-19. In order to shift the possible unfavorable treatment outcome in patients with chronic illnesses, information related to the prevalence of chronic illness and its effect on severity of COVID-19 infection has paramount importance. Objective: This study was aimed at assessing the prevalence of comorbidities and associated severity among COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia. Methods: An institution-based cross-sectional study design was employed among 422 COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia from April 10, 2020, to August 10, 2021. Binary logistic regression was fitted to identify comorbidities and other factors associated with severe clinical outcome, associations were presented with adjusted odds ratios (AORs) and 95% confidence intervals (CIs). In all analyses statistical significance were declared at p-value <0.05. Results: More than half (52.4%) of the COVID-19 patients were presented with comorbid conditions. One third (34.6%) of the admitted COVID-19 patients were in severe clinical stages. Marital status (AOR=4.56; 95% CI: 1.40, 14.76), hypertension (AOR=2.08; 95% CI: 1.09, 3.97), diabetes mellitus (AOR=3.31; 95%:1.84, 5.98), and cardiovascular diseases (AOR=4.22; 95% CI: 2.18, 8.15) were identified as factors associated with severe clinical stages. Conclusion: The comorbid conditions such as diabetes, hypertension, and cardiovascular diseases, and marital status were identified as significant predictors of severe outcomes of COVID-19. Therefore, identifying the people with chronic comorbidities as a risk group would help to anticipate and prevent the serious outcomes of COVID-19 infection.

Factors associated with prolonged length of hospital stay among COVID-19 cases admitted to the largest treatment center in Eastern Ethiopia.

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.

Incidence and predictors of organ failure among COVID-19 hospitalized adult patients in Eastern Ethiopia. Hospital-based retrospective cohort study.

BACKGROUND: Organ failure is incapability of at least one of the body organs to carry out a normal body functions. Identifying the predictors of the organ failure is crucial for improving COVID-19 patients' survival. However, the evidence related to this information is not well-established in developing countries, including Ethiopia. Therefore, this study aimed to determine the incidence and predictors of organ failure among adult patients admitted to Hiwot Fana Specialized University Hospital (HFSUH) COVID-19 treatment center from 1st May 2020 to 20th August 2021, Eastern Ethiopia. METHODS: A hospital-based retrospective cohort study design was implemented. Descriptive measures such as mean with standard deviation (SD), median with interquartile range (IQR), percentages, and frequencies were computed. The binary logistic regression was used to identify the association between outcome variables (organ functional status) and independent variables with an adjusted odds ratio (AOR) at a 95% confidence interval. A significance level was declared at a p-value of less than 0.05. RESULTS: The mean age of study participants was 47.69 years with the standard deviation (SD) of ± 17.03. The study participants were followed for the median time of 8 days with IQR of 4, 14. The incidence of organ failure was 11.9 per 1000 person-day contribution (95% CI: 9.5, 14.9). Predictors such as age above 60 years (AOR = 1.71, 95% CI: 1.44, 4.53), smoking history (AOR = 5.07, 95% CI: 1.39, 8.15), cardiovascular disease (AOR = 5.00, 95% CI: (1.83, 11.72), and critical clinical stages of COVID-19 (AOR = 5.42, 95%: 1.47, 14. 84) were significantly associated with organ failure among COVID-19 hospitalized patients. CONCLUSIONS: The incidence of organ failure was 11.9 per 1000 person-day contribution. Age, smoking, comorbidity, and clinical stages were significantly associated with organ failure among COVID-19 hospitalized cases. Therefore, clinicians should stringently follow the patients experiencing modifiable predictors of organ failure, especially patients with comorbidities and severe clinical stages. Moreover, the prevention programs that target elders and smokers should be strengthening to save this segment of populations before suffering from organ failure following COVID-19.

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia.

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.

Features associated with SARS-COV-2 positivity among people presenting with acute respiratory tract infections to public Hospitals in Harari region, Ethiopia.

BACKGROUND: Despite investigating coronavirus among respiratory tract infected cases is a top priority to prevent further transmission, severe acute respiratory syndrome coronavirus 2 positivity among this group of patients remains unexplored in resource-limited settings. Therefore, this study intended to assess the severe acute respiratory syndrome coronavirus 2 positivity among patients presenting with acute respiratory tract infection from 1 July to 31 December 2020 in Harar Region, Ethiopia, from 15 February to 10 March 2021. METHODS: A facility-based cross-sectional study design was used. Severe acute respiratory syndrome coronavirus 2 was tested by assaying oropharyngeal swabs using reverse transcriptase-polymerase chain reaction among patients presenting with acute respiratory tract infection in Harari Public Hospitals. A binary logistic regression was used to identify factors associated with severe acute respiratory syndrome coronavirus 2 positivity with an adjusted odds ratio at a 95% confidence interval. RESULTS: Out of a total of 1692 study participants, 388 (22.9%) of them tested positive for severe acute respiratory syndrome coronavirus 2. Of these severe acute respiratory syndrome coronavirus 2 positive patients, 364 (21.6%) patients presented with lower respiratory tract infection, while the rest only 24 (1.4%) presented with upper respiratory tract infection. Independent variables included separated/divorced in marital status (AOR = 0.53, 95% CI: 0.29-0.95), presenting with cough, fever, and difficulty of breathing (AOR = 2.5, 95% CI: 1.22-4.7), age group of 30-39 years (AOR = 0.35, 95% CI: 0.15-0.79), 40-49 years (AOR = 0.37, 95% CI: 0.14-0.94), and 50-59 years (AOR = 0.31, 95% CI: 0.13-0.76) compared to patients with the age of ⩾ 60 years, had statistically significant association with severe acute respiratory syndrome coronavirus 2 positivity. CONCLUSION: Severe acute respiratory syndrome coronavirus 2 was positive among 388 (22.9%) acute respiratory tract infected people. Elder age, particular symptoms, such as cough, fever, and difficulty of breathing, and married marital status were associated with a severe acute respiratory syndrome coronavirus 2 positive test. In resource-limited setups, where a shortage of testing equipment is common, these findings could contribute to boosting targeted symptom-oriented screening schemes. Moreover, this study could have paramount clinical importance for further studies in the country.

Personal protective equipment utilization practice and psychological preparedness of health care workers against COVID-19 pandemic in Eastern Ethiopia.

OBJECTIVES: Effective implementation of prevention and control actions by health professionals is substantial to contain the deadly COVID-19 pandemic. Thus, this study aimed to assess health care worker's practice of using personal protective equipment and psychological preparedness against the COVID-19 pandemic in Eastern Ethiopia. METHODS: A facility-based cross-sectional study design was used. The health care workers (HCW) who were working in the selected health facilities were randomly selected. Variables that had p-value of < 0.15 were transformed to multivariable logistic regression model. Finally, the significance level was declared at the p-value < 0.05 with a 95% confidence interval (CI). RESULTS: A total of 418 HCWs were randomly selected and included in this study. The study participants mean age was 27.96 years with a ±5.6SD. HCWs who were male (adjusted odds ratio(AOR) = 2.21, 95% CI: 1.29-3.79), regularly using sanitizer, accessing COVID-19 management guideline (AOR = 2.83, 95% CI: 1.46-5.47), trained on COVID-19 prevention methods (AOR = 2.6, 95% CI: 1.4-4.7), hopeless of eventually getting COVID-19 at workplace (AOR = 1.9, 95% CI: 1.13-3.28), and feeling unsafe at work when using standard precautions (AOR = 0.46, 95% CI: 0.27-0.79) were associated with good PPE using compared to their counterparts. Moreover, nursing/midwifery professionals practiced good personal protective equipment compared to physicians (AOR = 3.7, 95% CI: 1.8-7.7). CONCLUSION: The study demonstrated that being a male, being a nurse/midwifery, regularly sanitizing hands/medical equipment, having COVID-19 management guidelines, trained on COVID-19, and feeling of eventually getting COVID-19 at workplace had a positive association with PPE utilization. Besides, the study revealed that not feeling safe at work when using standard precautions was negatively associated with PPE utilization of HCWs. Therefore, the prevention priorities should be given to frontline HCWs by providing all possible support and strictly implementing the prevention and control guidelines of COVID-19 to prevent the health system from collapse.