Background: Electronic medical records (EMRs) can improve the quality of health care and patient safety. Various countries have gone through the local application of EMRs to various health care organizations in national implementation and integration of EMRs. Ethiopia lags far in the back in this regard, as solely some hospitals have implemented EMR. Objective: This study aimed to identify barriers to the adoption of EMRs in Ethiopia through a systematic review of the literature. Methods: PubMed, Semantic Scholar, and Google Scholar have been searched for applicable articles. The search method focuses on peer-reviewed, empirical research conducted in Ethiopia. The ultimate set that met the inclusion standards was 9 studies. The authors extracted, analyzed, and summarized empirical results associated with EMR barriers in these studies. Results: This systematic review identified the following 17 barriers to EMR adoption: absence of EMR training, limited access to computers, insufficient computer literacy, deficiency of EMR knowledge, inadequate technical help, absence of EMR manual, negative attitude to EMR, limited internet access, lack of management support, electric power interruption, absence of perceived system quality, absence of perceived information quality, lack of willingness, the complexity of the system, performance expectancy, effort expectancy, and lack of IT qualification. Conclusion: The most common barriers for EMR adoption are absence of EMR training, limited access to a computer, poor computer literacy, poor EMR knowledge, lack of technical support, and absence of an EMR manual. As this study summarizes the available evidence regarding barriers to adopting EMR in Ethiopia, future research will rest on this evidence and specialize in building a proper framework for EMR implementation in Ethiopia.

Background: Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aimed to identify factors associated with optimal ANC visits among pregnant women in Ethiopia. Methods: This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). A multilevel logistic regression model is set up to identify factors associated with optimal ANC visits. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to estimate the strength of the association between the outcome and the predictor variables. Results: Overall, 43% of women had optimal ANC visits during their last pregnancy. Higher educated women are 3.99 times more likely (AOR = 3.99; 95% CI: 2.62–6.02) to have optimal ANC visits than women with no formal education. The wealthiest women are 2.09 times more likely (AOR = 2.09; 95% CI: 1.56–2.82) to have optimal ANC visits than women in the poorest quintile. The odds of optimal ANC visit is 42 percent lower in rural women (AOR = 0.58, 95% CI: 0.41–0.83) compared to women living in urban areas. Conclusion: Women's educational status, wealth status, mass media exposure, place of residence and region are factors that are significantly associated with optimal ANC visit. These findings help health care programmers and policymakers to introduce appropriate policies and programs to ensure optimal ANC coverage. Priority should be given to addressing economic and educational interventions.

Background: This paper investigated mental health literacy level and information seeking behavior, and mental health-related information sources in limited-resource settings, in the case of Ethiopian university students. Methods: A cross-sectional, self-administered web-based survey was conducted among Dilla University students, from 1 January to 29 February 2022, with a total of 780 respondents. We presented descriptive statistics using mean, standard deviations, and proportions. Bivariate and multivariate logistic regression were employed to identify factors associated with mental health literacy and information seeking behavior of students. Further, path analysis was also employed. Results: The result showed 71 (9.1%) respondents had a diagnosed history of mental illness. Overall, 397 (50.9%) respondents were identified as having adequate mental health literacy and 420 (53.8%) sought mental health information. In multivariate analysis, mental health literacy was significantly associated with: being female (AOR = 2.8; 95% CI (1.5– 5.4)), higher digital health literacy (AOR=2.8; 95% CI (1.5– 5.4), seeking mental health-related information (AOR=1.6; 95% CI: (1.1– 2.5)), having family with mental illness, and students in health-related programs (AOR = 2.1; 95% CI (1.0– 4.2)). Furthermore, health-related programs, level of mental health literacy, exposure to mental health problems in the family, and were associated with information seeking behavior regarding mental health. Further, path analysis revealed significant positive associations of information seeking behavior and digital health literacy with mental health literacy. Conclusion: The result indicated the status of university students’ mental health literacy level and information seeking behavior were low and inadequate. This study suggests the need to improve students’ digital health competencies by designing mental health literacy programs by collaboration of different stakeholders, and mental health literacy programs need to optimize access to internet and online resources in the university settings.

Background: Vaccination is, without doubt, one of the most outstanding health interventions in reducing unprecedented damages of coronavirus disease (COVID-19). Globally, several vaccines have been produced to be effective against COVID-19. This survey aimed to assess the demand and intent towards the COVID-19 vaccine among the general population in Ethiopia. Also, factors influencing their demand, intention, and willingness to pay for the COVID-19 vaccine were described, which is poorly understood in resource-limited settings. Methods: Subjects were 1160 individuals who completed an online questionnaire from February to March 2021. The study used the health belief model (HBM) to evaluate participants’ intention to receive and willingness to pay (WTP) regarding the COVID-19 vaccine. Chi-square and binary logistic regression were conducted to identify the prevalence and associated factors of demand and WTP. Multinomial regression was done to examine the intent to receive a vaccine. Results: In total 1116 responses were collected. The results indicated a moderate level of demand and WTP among participants (64.7% and 56.0%, respectively). Further, the researchers examined participants’ readiness towards COVID-19 vaccination, where 46.6% of participants had a definite intent, and close to half of the participants are unsure (32.8%) or unwilling (20.7%) to get vaccinated. Among other factors, items under perceived susceptibility and perceived benefits constructs in the HBM have been associated with participants’ demand, willingness to vaccinate, and WTP. Conclusion: This study demonstrates the usefulness of the HBM model in evaluating the demand, intention, and willingness of participants to pay for COVID-19. Improving public awareness of the vulnerability should be a major point of attention to reduce the barriers, and improve demand and intention for COVID-19. Moreover, public health messages should be tailored to enhance vaccine literacy.

Background: Complete childhood vaccination considerably aids in the reduction of morbidity and mortality from vaccine-preventable childhood diseases. Understanding the geographical disparity of complete basic childhood vaccination and Identifying associated factors is vital to designing appropriate interventions. This study aimed to assess the spatial distribution and associated factors of complete basic childhood vaccination among children aged 12–23 months in Ethiopia. Methods: A two-stage stratified sampling technique was used based on the 2019 Ethiopian mini demographic and health survey data. A total weighted sample of 1,028 children was included in the analysis. ArcGIS version 10.8 software was used to visualize the spatial distribution of complete basic childhood vaccination. The Bernoulli-based model was used to detect significant clusters of areas using SaTScan version 9.6 software. To identify associated factors, multilevel logistic regression analyses were used, and all variables with a p-value less than 0.05 were reported as statistically significant predictors. Results: Complete basic childhood vaccination among children aged 12–23 months had a significant variation in Ethiopia (Moran’s I = 0.276, p<0.001). The spatial scan analysis identified the most likely significant primary clusters with low complete basic childhood vaccination coverage in the Somali region’s Afder, Liben, Shabelle, and Nogobe zones; the Southern Nation Nationality and Peoples Region’s (SNNPR) Gedeo and Sidama zones; and the Oromia region’s Bale and Guji zones. The second significant cluster was found in the Afar region’s zones 1, 4, and 5, as well as the northern Somali region’s Siti zone. In the multivariable multilevel analysis, maternal age 20–24, 25–29, 35–39, and 40–44 years, delivery at a health facility, four or more antenatal care (ANC) visits, orthodox religion fellowship, maternal primary education, Muslim religion fellowship, living in the Afar, Somalia, and Oromia regions, and living in rural areas were all found to be significantly associated with complete basic childhood vaccination. Conclusion: A geographically significant variation of complete basic childhood vaccination was observed. Maternal age, maternal education, religion, place of delivery, ANC visit, region, and residence were significantly associated with complete basic childhood vaccination. Developing immunization campaigns targeting areas that had low basic vaccination coverage and designing healthcare programs that can motivate facility-based delivery and ANC follow-up is recommended.

Background: Most of unwanted pregnancies among adolescent girls and young women (AGYW) in Africa result in pregnancy termination. Despite attempts to enhance maternal health care service utilization, unsafe abortion remains the leading cause of maternal death in Sub-Saharan Africa (SSA), there is still a study gap, notably in East Africa, where community-level issues are not studied. Therefore, this study aimed to assess pooled prevalence pregnancy termination and associated factors among youth (15–24 year-old) women in the East Africa. Methods: The study was conducted based on the most recent Demographic and Health Surveys (DHS) in the 12 East African countries. A total weighted sample of 44,846 youth (15–24) age group women was included in this study. To detect the existence of a substantial clustering effect, the Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR)-test were used. Furthermore, because the models were nested, deviance (-2LLR) was used for model comparison. In the multilevel logistic model, significant factors related to pregnancy termination were declared using Adjusted Odds Ratios (AOR) with a 95%Confidence Interval (CI) and p-value of 0.05. Result: The pooled prevalence of pregnancy termination in East African countries was 7.79% (95% CI: 7.54, 8.04) with the highest prevalence in Uganda 12.51% (95% CI: 11.56, 13.41) and lowest was observed in Zambia 5.64% ((95% CI: 4.86, 6.41). In multilevel multivariable logistic regression result, age 20–24 [AOR = 1.93; 95% CI: 1.71, 2.16], media exposure [AOR = 1.22; 95% CI: 1.12, 1.34], married [AOR = 1.32, 95% CI: 1.21, 1.43], had working [AOR = 1.13; 95% CI: 1.04, 1.23],no education[AOR = 3.98, 95% CI: 2.32, 6.81], primary education [AOR = 4.05, 95% CI: 2.38, 6.88], secondary education [AOR = 2.96, 95% CI: 1.74, 5.03], multiparous [AOR = 0.85; 95%CI: 0.79, 0.93], sexual initiation greater or equal to 15 [AOR = 0.82; 95%CI: 0.74, 0.99] were significantly associated with pregnancy termination. Conclusion: The pooled prevalence of pregnancy termination in East Africa was high in this study. Maternal age, marital status, education status, parity, age at first sex, media exposure, working status and living countries were significantly associated with pregnancy termination. The finding provides critical information for developing health interventions to decrease unplanned pregnancies and illegal pregnancy termination.