Background: Ethiopia has received 2.2 million doses of COVID-19 vaccine from the COVID-19 Vaccines Global Access (COVAX) facility and planned to vaccinate 20% of its population by the end of 2021. However, evidence on the current uptake of the vaccine in our country is scanty. Therefore, this study aimed to assess COVID-19 vaccine uptake and associated factors among health professionals in Ethiopia. Methods: A national online cross-sectional E-survey was conducted on COVID-19 vaccine Uptake and associated factors among health professionals in Ethiopia from June 1 to 30, 2021. A semi-structured questionnaire was created on Google forms and disseminated online. The snowball sampling technique through the authors' network with Ethiopian residents on the popular social media like Facebook, telegram, and email was used. Descriptive statistics were performed. Multivariable logistic regression analysis was performed using Statistical Package for Social Sciences version 25, and all variables with P-value <0.05 and adjusted odds ratio at 95% CI were used to declare the predictors of the outcome variable. Results: A total of 522 health professionals participated in the survey, of which about 324 (62.1%) of them were vaccinated with any of the COVID-19 vaccines at least once. The study indicated that COVID-19 vaccine uptake was associated with age range from 35 to 44 years [AOR = 12.97, 95% CI: 2.36-71.21], age beyond 45 years [AOR = 18.95, 95% CI = 2.04-36.29], being male [AOR = 2.91, 95% CI = 1.05,8.09], being only an academician [AOR = 0.23, 95% CI: 0.10-0.49], academicians working in University hospitals [AOR = 0.19, 95% CI: 0.05-0.83], perceiving their family as healthy [AOR = 4.40, 95% CI: 2.21-8.75], no history of receiving other vaccine before as an adult [AOR = 4.07, 95% CI: 2.07-8.01] and no history of contact with confirmed COVID-19 patients or clients [AOR = 0.42, 95% CI: 0.20-0.86]. Conclusion:The study found that COVID-19 vaccine uptake among health professionals was low. This was not sufficient to achieve herd immunity as at least nine out of ten health professionals are required for herd immunity. Ages, sex, place of work, perceived family health status, previous experience of receiving a vaccine as an adult and history of contact with COVID-19 clients or patients were the factors that influence the vaccine uptake among health professionals in Ethiopia. Hence, decision makers and health managers should consider instituting mandatory vaccination for health professionals and design strategies for the provision of the vaccine.

Background Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia. Methods A cross-sectional study was conducted in all public health facilities in the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P value < 0.05. Result The study found good quality data in 51.35% (95% CI 44.6–58.1) of the departments in public health facilities in the Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to those found in the health posts. The presence of trained staffs able to fill reporting formats (AOR = 2.474; 95% CI 1.124–5.445) and provisions of feedbacks (AOR = 3.083; 95% CI 1.549–6.135) were also significantly associated with data quality. Conclusion The level of good data quality in the public health facilities was less than the expected national level. Lack of trained personnel able to fill the reporting format and feedback were the factors that are found to be affecting data quality. Therefore, training should be provided to increase the knowledge and skills of the health workers. Regular supportive supervision and feedback should also be maintained.

BackgroundEven though the emergence of the coronavirus disease 2019 (COVID-19) vaccine and the increasing vaccination rates are promising, there are reports of refusal to get vaccinated in a different segment of the population, including health care workers.ObjectiveThis study determines the acceptance/refusal of the COVID-19 vaccination and its predictors among health care workers in Ethiopia.MethodsA cross-sectional survey was conducted among a group of health care workers at different health facilities in Ethiopia. Data were collected from 1 to 30 July 2020. Data were collected from 403 participants through an online Google submission form. Data were entered into Epi-info 7 and exported to SPSS version 20 for analysis.ResultsApproximately 38.5% of the health care workers in the study had refused COVID-19 vaccination. Younger age groups vs. 40 and above years (age 20–24 year [AOR: 0.03, 95% CI (0.00, 0.48)], age 25–29 year [AOR: 0.02, 95% CI (0.00, 0.49)], and age 30–34 year [AOR: 0.04 (0.00, 0.49)] and medical doctors vs. Nurses [AOR: 0.06, 95% CI, (0.01, 0.42)] were reported as risk factors; also, academic working staff vs. hospital staff [AOR: 4.42, 95% CI (1.85, 10.54)] was reported as a protective factor toward refusal of COVID-19 vaccination.ConclusionTwo-fifths of health care workers in Ethiopia were indicated to refuse COVID-19 vaccination, implying a significant barrier to achieving WHO's a target of 70% double vaccination rate by mid-2022.

Vaccines are not free from adverse outcomes. However, the evidence of adverse outcomes following COVID-19 vaccination among health-care professionals (HCPs) in the study setting was scanty. Aimed to assess outcomes following COVID-19 vaccination and associated factors among health-care professionals in Oromia region, Ethiopia. An online cross-sectional survey was conducted from 1 October to 30 October 2021. Data were collected using questionnaire created on Google forms. A snowball sampling technique through the authors’ network on the popular social media was used. Data analysis was performed using SPSS version 25. The Adjusted Odd Ratio (AOR) along with the 95% confidence level and variables with a p value <.05 were considered to declare the statistical significance. About 93.9% of the participants had experienced mild-to-moderate adverse outcomes following COVID-19 vaccination. Being married [AOR = 4.19, 95% CI:2.07,8.45] ,family size >5 [AOR = 5.17, 95% CI: 1.74, 15.34], family not tested for COVID-19 [AOR = 0.39, 95% CI: 0.15,0.97], lack of family support to take the vaccine [AOR = 3.58, 95% CI: 1.75, 7.33], heard anything bad about the vaccine [AOR = 4.17, 95% CI: 1.90,9.13] and very concerned as the vaccine could cause Adverse Events Following Immunization (AEFI) [AOR = 6.24, 95% CI: 1.96,19.86] were statistically associated with the outcome. The study showed that over nine out-of-often participants had experienced mild-to-moderate adverse outcomes following COVID-19 vaccination. However, severe adverse outcome experienced was very low, which could not hinder to take the vaccine due to fear of its side effects. Marital status, family size, family tested for COVID-19, lack of family support to take the vaccine, hearing anything bad about the vaccine, and being concerned about as the vaccine could cause adverse events were factors associated with the outcome.

Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.