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BACKGROUND: The strategic plan of the Ethiopian Ministry of Health recommends an electronic medical record (EMR) system to enhance health care delivery and streamline data systems. However, only a few exhaustive systematic reviews and meta-analyses have been conducted on the degree of EMR use in Ethiopia and the factors influencing success. This will emphasize the factors that make EMR effective and increase awareness of its widespread use among future implementers in Ethiopia. OBJECTIVE: This study aims to determine the pooled estimate of EMR use and success determinants among health professionals in Ethiopia. METHODS: We developed a protocol and searched PubMed, Web of Sciences, African Journals OnLine, Embase, MEDLINE, and Scopus to identify relevant studies. To assess the quality of each included study, we used the Joanna Briggs Institute quality assessment tool using 9 criteria. The applicable data were extracted using Microsoft Excel 2019, and the data were then analyzed using Stata software (version 11; StataCorp). The presence of total heterogeneity across included studies was calculated using the index of heterogeneity I2 statistics. The pooled size of EMR use was estimated using a random effect model with a 95% CI. RESULTS: After reviewing 11,026 research papers, 5 papers with a combined total of 2439 health workers were included in the evaluation and meta-analysis. The pooled estimate of EMR usage in Ethiopia was 51.85% (95% CI 37.14%-66.55%). The subgroup study found that the northern Ethiopian region had the greatest EMR utilization rate (58.75%) and that higher (54.99%) utilization was also seen in publications published after 2016. Age groups <30 years, access to an EMR manual, EMR-related training, and managerial support were identified factors associated with EMR use among health workers. CONCLUSIONS: The use of EMR systems in Ethiopia is relatively low. Belonging to a young age group, accessing an EMR manual, receiving EMR-related training, and managerial support were identified as factors associated with EMR use among health workers. As a result, to increase the use of EMRs by health care providers, it is essential to provide management support and an EMR training program and make the EMR manual accessible to health professionals.
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Introduction: The lack of local side effect profiles for vaccines could hinder vaccination uptake. Since all COVID-19 vaccines are brand-new medications, it is crucial to keep track of any safety related concern. Objective: This study is aimed to investigate post-vaccination side effects of COVID-19 vaccines and associated factors in Bahir Dar city. Method: An institutional-based cross-sectional study was conducted among vaccinated clients. A simple random and a systematic random sampling method were used to select the health facilities and the participants, respectively. Bi-variable and multivariable binary logistic regression analyses were executed with odds ratio at 95% confidence intervals at p < .05. Results: A total of 72(17.4%) participants reported at least one side effect following vaccination. The proportion prevalence was higher after the first dose than that of the second dose and the difference was also found to be statistically significant. In the multivariable logistic regression analysis female participants (AOR = 3.39, 95% CI = 1.53, 7.52), participants with a history of regular medication use (AOR = 3.34, 95% CI = 1.52, 7.33), participants aged 55 and above (AOR = 2.93, 95% CI = 1.23, 7.01), and participants who had taken only the first dose (AOR = 14.81, 95% CI = 6.40, 34.31) were more likely to develop side effects for COVID 19 vaccination compared to their counterparts. Conclusion: A significant number (17.4%) of participants reported at least one side effect following vaccination. Sex, medication, occupation, age, and type of vaccination dose were factors statistically associated with the reported side effects.