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Background: Human breast milk, a naturally balanced source of infant nutrition, promotes optimal growth and health when exclusively fed for 6 months. Exclusive breastfeeding reduces common childhood infections, provides protection against some chronic illnesses, and contributes to achieving several Sustainable Development Goals. Despite its benefits, only 58% of Ethiopian women practice it, and the associated education-related inequality is not well documented. Thus, this study aims to quantify and decompose the education-related inequality in exclusive breastfeeding practice among Ethiopian mothers., Methods: A total of 1,504 weighted samples were studied using a Performance Monitoring for Action Ethiopia longitudinal panel survey dataset (2021-2023). Wagstaff normalized concentration index and its concentration curve were used to assess education-related inequality in exclusive breastfeeding practice. Wagstaff decomposition analysis was performed to decompose the concentration index and identify factors contributing to the observed education-related inequality. Significance was declared at p -value <0.05., Results: The overall prevalence of exclusive breastfeeding among Ethiopian women was 57.29% (95% CI: 54.79, 59.80%), with a greater concentration found among women with lower levels of education. This indicates an inequality that favors less educated women (pro-less educated inequality), as demonstrated by the Wagstaff normalized concentration index of -0.058 (95% CI: -0.113, -0.002). Factors that made a significant contribution to the observed education-related inequality in exclusive breastfeeding practice were residence (18.80%), region (29.31%), place of birth (-7.38%), and the wantedness status of the indexed pregnancy (82.58%). The indexed pregnancy's wantedness was made a more elastic (elasticity = 0.282) contribution., Conclusion: The study identified a small yet significant education-related inequality in exclusive breastfeeding, favoring less educated women. Hence, emphasis should be placed not only on educating women but also on healthy habits that they can leave behind when they learn. Residence, region, place of birth, and indexed pregnancy's wantedness significantly contributed to the observed education-related inequality. The elasticity value for each factor suggests that policy changes addressing these factors could readily reduce the observed inequality., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Dessie, Zemene, Gebeyehu, Anley, Anteneh, Moges, Chanie, Tsega, Belete, Alemayehu and Kebede.)

A diversified diet in early childhood that comprises plant and animal source foods contributes to better health outcomes throughout the life course. However, inadequate infant and young child-feeding practices are serious public health problems in Africa. Evidence on the magnitude and determinants of inadequate animal source food consumption (ASF) in sub-Saharan Africa (SSA) is not yet well established. Hence, this study aimed to estimate the pooled magnitude and determinants of ASF consumption in SSA. A total weighted sample of 92,309 children aged 6-23 months from the Demographic and Health Survey dataset of 35 SSA countries was used for this study. A multilevel mixed-effect model was fitted. The intra-class correlation coefficient (ICC) and likelihood ratio (LR) tests were used to assess the presence of the clustering effect. The model comparison was made using deviance information criteria (DIC). A p-value of p < 0.05 was used to declare statistical significance. The pooled magnitude of ASF consumption among children aged 6-23 months in SSA was 23.7% (95% CI: 23.4, 23.9). Across the SSA regions, the Southern Africa region had the highest consumption of ASF (51.35%), and the lowest was from the Eastern Africa region (21.41%). Younger children aged 6-9 months (AOR = 3.39; 95% CI: 3.14, 3.65), mothers who had no formal education (AOR = 1.46; 95% CI: 1.37, 1.56), children from mothers with no media exposure (AOR = 1.17; 95% CI: 1.11, 1.24), children from the poorest households (AOR = 2.59; 95% CI: 2.36, 2.84), rural residence (AOR = 1.20; 95% CI: 1.12, 1.28), living in low-income countries (AOR = 2.43; 95% CI: 2.03, 2.90), and children from the East Africa region (AOR = 1.24; 95% CI: 1.14, 1.35) were among the significant predictors for not consuming ASF. In this study, ASF consumption was markedly low. Almost three-fourths of children aged 6-23 months in SSA did not consume ASF in the previous day. Age of the child, ANC visits, maternal educational status, maternal marital status, media exposure, and household wealth index were significant individual-level predictors of ASF consumption, whereas the place of residence, country's income level, and regions of SSA were found to be significant community-level predictors of ASF consumption. Thus, the study highlighted that policymakers, governments, and their partners should demonstrate rigorous efforts to improve dietary diversification with due consideration to the identified predictors of ASF., (© 2024. The Author(s).)

Background: Inadequacy of antenatal care (ANC) utilization is a prominent public health problem, causing poor pregnancy outcomes. In developing countries, including Ethiopia, having ANC coverage, many pregnant women do not achieve the first ANC visits in the first trimester and receive at least four ANC visits. Therefore, this study aimed to examine the magnitude and identify determinants of inadequacy of antenatal care attendance amongst pregnant women in Ethiopia., Methods: Inadequate ANC attendance was defined as combining starting ANC visits after the first trimester and having fewer than four visits together. The study used secondary data from the 2019 mini-demographic and health survey. A weighted sample of 3927 pregnant women was included in this study. Data management and further analysis were performed using STATA 14 software. A multivariable generalized estimating equation analysis was used to identify determinants associated with inadequacy of antenatal care attendance. The Adjusted odds ratio with a 95% confidence interval was used to identify significant variables for inadequate antenatal care visits., Result: Overall, 78.5% of pregnant women did not attend adequate antenatal care visits during pregnancy. In multivariable generalized estimating equation analysis, women aged 25 to 34 years (AOR = 0.77, 95% CI: 0.61-0.95), being educated (AOR = 0.31; 95% CI: 0.22-0.45), and being wealthier index (AOR = 0.67, 95% CI: 0.51-0.88) were less likely to inadequate antenatal care attendance. Whereas being rural residents (AOR = 1.49; 95% CI:1.08-2.07), no television exposure (AOR = 1.51; 95% CI:1.1-2.06), having more family members in the household (AOR = 1.81; 95% CI: 1.11-2.95), and women from semi-peripheral region (AOR = 1.92; 95% CI: 1.42-2.59) were higher odds of being associated with inadequacy of antenatal care attendance., Conclusions: The prevalence of Inadequate antenatal care attendance amongst pregnant women in Ethiopia is still High. The study identifies significant variables that could be positively and negatively associated with inadequate antenatal care visits. Health education interventions should target uneducated, poorer, and rural women to attend early antenatal care and use at least four antenatal care utilization for early detection of complications during pregnancy and delivery., (© 2024. The Author(s).)

Introduction: The COVID-19 pandemic has caused an unprecedented health threat globally, necessitating innovative and efficient diagnostic approaches for timely identification of infected individuals. Despite few emerging reports, the clinical utility of circulating microRNAs (miRNAs) in early and accurate diagnosis of COVID-19 is not well-evidenced. Hence, this meta-analysis aimed to explore the diagnostic potential of circulating miRNAs for COVID-19. The protocol for this study was officially recorded on PROSPERO under registration number CRD42023494959., Methods: Electronic databases including Embase, PubMed, Scopus, and other sources were exhaustively searched to recover studies published until 16th January, 2024. Pooled specificity, sensitivity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR), positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were computed from the metadata using Stata 14.0 software. Risk of bias appraisal of included articles was carried out using Review Manager (Rev-Man) 5.3 package through the modified QUADAS-2 tool. Subgroup, heterogeneity, meta-regression and sensitivity analyses were undertaken. Publication bias and clinical applicability were also evaluated via Deeks' funnel plot and Fagan nomogram (scattergram), respectively., Result: A total of 43 studies from 13 eligible articles, involving 5175 participants (3281 COVID-19 patients and 1894 healthy controls), were analyzed. Our results depicted that miRNAs exhibit enhanced pooled specificity 0.91 (95% CI: 0.88-0.94), sensitivity 0.94 (95% CI: 0.91-0.96), DOR of 159 (95% CI: 87-288), and AUC values of 0.97 (95% CI: 0.95-0.98) with high pooled PPV 96% (95% CI: 94-97%) and NPV 88% (95% CI: 86-90%) values. Additionally, highest diagnostic capacity was observed in studies involving larger sample size (greater than 100) and those involving the African population, demonstrating consistent diagnostic effectiveness across various specimen types. Notably, a total of 12 distinct miRNAs were identified as suitable for both exclusion and confirmation of COVID-19 cases, denoting their potential clinical applicability., Conclusion: Our study depicted that miRNAs show significantly high diagnostic accuracy in differentiating COVID-19 patients from healthy counterparts, suggesting their possible use as viable biomarkers. Nonetheless, thorough and wide-ranging longitudinal researches are necessary to confirm the clinical applicability of miRNAs in diagnosing COVID-19., (© 2024. The Author(s).)

Background: Congenital anomalies pose a significant challenge to global health and result in considerable morbidity and mortality in early childhood. With the decline of other causes of death among children under five, the burden of congenital anomalies is rising, emphasizing the need for improved prenatal care, screening, and nutrition for pregnant women. This systematic review and meta-analysis aim to estimate the pooled effect of folic acid intake on congenital anomalies., Methods: To identify relevant research published up until December 30/2023, we conducted electronic searches of PubMed/Medline, PubMed Central, Hinary, Google, African Journals Online, Web of Science, Science Direct, and Google Scholar databases using predefined eligibility criteria. We used Excel to extract data and evaluated the studies using the JBI appraisal checklist. We computed the pooled effect size with 95% confidence intervals for maternal folic acid intake on congenital anomalies using STATA version 17 and the DerSimonian and Laird random effects meta-analysis model. We assessed statistical heterogeneity using Cochran's Q -test, I 2 statistic, and visual examination of the funnel plot., Results: The review included 16 case-control, cohort, and cross-sectional studies. According to the results of this systematic review and meta-analysis, maternal folic acid intake significantly lowers the incidence of congenital anomalies (odds ratio (OR), 0.23; confidence interval (CI), 0.16, 0.32). Among the included studies, both the Cochrane Q -test statistic ( χ 2 = 118.82, p  < 0.001) and I 2 test statistic ( I 2  = 87.38%, p  < 0.001) revealed statistically significant heterogeneity. Egger's weighted regression ( p  < 0.001) and funnel plot show evidence of publication bias in this meta-analysis., Conclusion: The results of the recent meta-analysis and systematic review have demonstrated a significant association between maternal folic acid intake and the risk of congenital anomalies. Specifically, children whose mothers received periconceptional folic acid supplementation had a 77% reduced risk of congenital anomalies. To further investigate the correlation between maternal folic acid supplementation and the occurrence of various congenital anomalies, particularly in developing countries, it is recommended that a comprehensive prospective study be conducted., Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, PROSPERO (CRD42024511508)., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2024 Moges, Sisay Chanie, Anteneh, Zemene, Gebeyehu, Belete, Kebede, Anley, Dessie, Alemayehu, Dagnaw, Asmare and Tsega.)

Introduction: Sexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia., Methods: In this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15-49 years. ArcGIS version 10.7 and Kuldorff's SaTScan version 9.6 software were used for spatial analysis. Global Moran's I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant., Result: The study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran's I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB., Conclusion: In this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Anley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Child marriage is a harmful traditional practice, which compromises children of their childhood and threatens their lives and health. In Ethiopia, 58% of women and 9% of men get married before the age of 18 years. Surprisingly, parents in the Amhara region make marriage promises of their children before they are even born, which will hinder the region from attaining the Sustainable Development Goal of ending child marriage. Thus, this study aimed to assess the trends, determinants, and future prospects of child marriage in the Amhara region of Ethiopia., Methods: A repeated cross-sectional study was conducted using four consecutive nationally representative Ethiopian demographic and health surveys (2000-2016). A logit-based multivariate decomposition analysis for a non-linear response model was fitted to identify factors that contributed to the change in child marriage over time. Statistical significance was declared at a p -value of < 0.05. The child marriage practice in the Amhara region by the year 2030 was also predicted using different forecasting features of Excel., Results: The trend of child marriage over the study period (2000-2016) decreased from 79.9% (76.7, 82.8) to 42.9% (39.1, 46.9), with an annual average reduction rate of 2.9%. Approximately 35.2% of the decline resulted from an increase in the proportion of women who attained secondary and above-secondary education over the two surveys. A decrease in the proportion of rural women and a change in the behavior of educated and media-exposed women also contributed significantly to the decline in child marriage. The prevalence of child marriage in the Amhara region by the year 2030 was also predicted to be 10.1% or 8.8%., Conclusion: Though there has been a significant decline in child marriage in the Amhara region over the past 16 years, the proportion is still high, and the region is not going to eliminate it by 2030. Education, residence, and media exposure were all factors associated with the observed change in child marriage in this study. Therefore, additional efforts will be required if child marriage is to be eliminated by 2030, and investing more in education and media access will hasten the region's progress in this direction., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Dessie, Anley, Zemene, Gebeyehu, Adella, Kassie, Mengstie, Seid, Abebe, Gesese, Tegegne, Anteneh, Solomon, Moges, Bantie, Feleke, Dejenie and Geremew.)

Background: The Corona virus disease 19 (COVID-19) pandemic is a human tragedy that occurred in this era. It poses an unprecedented psychological, social, economic, and health crisis. The mental health and well-being of entire societies are suffering as a result of this crisis, but the suffering is greater in students at all levels of education and must be addressed immediately. Thus, this study was aimed to estimate the pooled prevalence and associated factors of the psychological impact of COVID-19 among higher education students., Methods: The potential studies were searched via PubMed, HINARI, the Cochrane Library, and Google Scholar. Studies were appraised using the Joanna Briggs Institute appraisal checklist. Micro Soft Excel was used to extract the data, which was then exported to Stata version 14 for analysis. Heterogeneity between studies was tested using Cochrane statistics and the I 2 test, and small-study effects were checked using Egger's statistical test. A random-effects model was employed to estimate the pooled prevalence of the psychological impact of COVID-19 and its associated factor., Results: After reviewing 227 studies, eight fulfilled the inclusion criteria and were included in the meta-analysis. The pooled prevalence of the psychological impact of Corona virus disease 19 among higher education students in Ethiopia, including depression, anxiety, and stress was 43.49% (95% CI: 29.59, 57.40%), 46.27% (95% CI: 32.77, 59.78%), and 31.43% (95% CI: 22.71, 40.15), respectively. Having a medical illness, being an urban resident, living with parents, having relative death due to pandemics, and having a non-health field of study were identified as significant associated factors for the impact of the pandemic in higher education students., Conclusion: The COVID-19 pandemic had a significant psychological impact on college and university students. Depression, anxiety, and stress were the most commonly reported psychological impacts across studies among higher education students. Hence, applying tele-psychotherapy using, smartphones, and social media platforms has an effect on reducing the impact. Programs for preventing and controlling epidemics should be developed by the government and higher education institutions that incorporate mental health interventions and build resilience., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Anteneh, Dessie, Azanaw, Anley, Melese, Feleke, Abebe and Muche.)

Introduction: Drug compliance is the act of taking medication on schedule or taking medication as prescribed and obeying other medical instructions. It is the most crucial aspect in the treatment of chronic diseases particularly for patients with multidrug-resistant tuberculosis (MDR-TB). Drug non-compliance is the main reason for causing drug resistance and poor treatment outcomes. Hence, developing a risk prediction model by using early obtainable prognostic determinants of non-compliance is vital in averting the existing, unacceptably high level of poor treatment outcomes and reducing drug resistance among MDR-TB patients., Materials and Methods: A retrospective follow-up study was conducted on a total of 517 MDR-TB patients in Northwest Ethiopia. A logistic regression-based machine learning algorithm was used to develop a risk score for the prediction of treatment non-compliance among MDR-TB patients in selected referral hospitals of Northwest Ethiopia. The data were incorporated in EpiData version 3.1 and exported to STATA version 16 and R version 4.0.5 software for analysis. A simplified risk prediction model was developed, and its performance was reported. It was also internally validated by using a bootstrapping method., Results: Educational status, registration group (previously treated/new), treatment support, model of care, and khat use were significant prognostic features of treatment non-compliance. The model has a discriminatory power of area under curve (AUC) = 0.79 with a 95% CI of 0.74-0.85 and a calibration test of p -value = 0.5. It was internally validated by using a bootstrapping method, and it has a relatively corrected discriminatory performance of AUC = 0.78 with a 95% CI of 0.73-0.86 and an optimism coefficient of 0.013., Conclusion: Educational status, registration group, treatment supporter, model of care, and khat use are important features that can predict treatment non-compliance of MDR-TB patients. The risk score developed has a satisfactory level of accuracy and good calibration. In addition, it is clinically interpretable and easy to use in clinical practice, because its features are easily ascertainable even at the initial stage of patient enrolment. Hence, it becomes important to reduce poor treatment outcomes and drug resistance., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Anley, Akalu, Dessie, Anteneh, Zemene, Bayih, Solomon, Gebeyehu, Kassie, Mengstie, Abebe, Seid, Gesese, Moges, Bantie, Feleke, Dejenie, Adella and Muche.)

Background and Aims: Utilizing health facility delivery services is one of the pillars of lowering maternal mortality. However, the coverage of health facility delivery service utilization continues to be uneven around the world. In Ethiopia, particularly among pastoralist regions, health facility delivery service utilization is less common. Therefore, the purpose of this study was to determine the pooled prevalence of health facility delivery service utilization and identify the associated factors among women in the pastoralist regions of Ethiopia., Methods: A comprehensive systematic search was carried out in PubMed/MEDLINE, Hinary, Cochrane Library, Google Scholar, Google, and Ethiopian online university repositories. Studies were appraised using the JBI appraisal checklist. The analysis was done using STATA version 16. The pooled analysis was conducted using DerSimonian and Laird random-effects model. I 2 test and Eggers & Begg's tests were used to assess the heterogeneity and publication bias, respectively. p  < 0.05 was set to determine the statistical significance of all the tests., Results: The pooled prevalence of health facility delivery service utilization was 23.09% (95% CI: 18.05%-28.12%). Have ANC visit during pregnancy (OR = 3.75, [95% CI: 1.84-7.63]), have information regarding maternal health service fee exemption (OR = 9.51, [95% CI: 1.41-64.26]), have a nearby health facility (OR = 3.49, [95% CI: 1.48-8.20]), and women attend secondary and above education (OR = 3.06, [95% CI: 1.77-5.29]) were found to be significant associated factors., Conclusions: Health facility delivery service utilization is very low in pastoralist regions of Ethiopia, and ANC follow-up, distance from the health facility, women's educational status, and information regarding maternal health service fees were identified as significant associated factors. Consequently, strengthening ANC services, introducing free health services to the community, and constructing health facilities for the nearby residents are recommended to improve the practice., Competing Interests: The authors declare no conflict of interest., (© 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.)

Objective: To develop and validate a clinical risk score for in-hospital stroke mortality., Design: The study used a retrospective cohort study design., Setting: The study was carried out in a tertiary hospital in the Northwest Ethiopian region., Participants: The study included 912 patients who had a stroke admitted to a tertiary hospital between 11 September 2018 and 7 March 2021., Main Outcome Measures: Clinical risk score for in-hospital stroke mortality., Methods: We used EpiData V.3.1 and R V.4.0.4 for data entry and analysis, respectively. Predictors of mortality were identified by multivariable logistic regression. A bootstrapping technique was performed to internally validate the model. Simplified risk scores were established from the beta coefficients of predictors of the final reduced model. Model performance was evaluated using the area under the receiver operating characteristic curve and calibration plot., Results: From the total stroke cases, 132 (14.5%) patients died during the hospital stay. We developed a risk prediction model from eight prognostic determinants (age, sex, type of stroke, diabetes mellitus, temperature, Glasgow Coma Scale, pneumonia and creatinine). The area under the curve (AUC) of the model was 0.895 (95% CI: 0.859-0.932) for the original model and was the same for the bootstrapped model. The AUC of the simplified risk score model was 0.893 (95% CI: 0.856-0.929) with a calibration test p value of 0.225., Conclusions: The prediction model was developed from eight easy-to-collect predictors. The model has excellent discrimination and calibration performance, similar to that of the risk score model. It is simple, easily remembered, and helps clinicians identify the risk of patients and manage it properly. Prospective studies in different healthcare settings are required to externally validate our risk score., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Undernutrition is defined as not consuming enough nutrients and energy to meet one's needs for maintaining good health. It is exacerbated by armed conflict. Individuals cannot stick to jobs because of a lack of safety during conflicts, which has an impact on families' ability to purchase food. However, there is a paucity of evidence on pooled evidence on the impact of armed conflict on childhood undernutrition among children aged 6 to 59 months in Africa. Therefore, this review aimed to examine the effects of armed conflict on the magnitude of undernutrition, particularly stunting, underweight, and wasting among children in Africa., Methods: A comprehensive literature search was conducted using electronic databases (PubMed, Hinari, and Google Scholar database) to locate potential studies. Heterogeneity between studies was checked using Cochrane Q test statistics and I 2 test statistics. Small-study effects were checked using Egger's statistical test at a 5% significance level. A random-effects model was employed to estimate the pooled prevalence and associated factors of undernutrition among children aged 6-59 months in Africa., Results: Of a total of 585 articles retrieved from the databases, 12 studies met our inclusion criteria. The pooled prevalence of wasting, stunting, and being underweight among conflict-affected African countries was 20.25% (95%CI = 15.08-25.43), 34.18% (95% CI = 26.34-42.02), and 24.00% (95%CI = 16.35-31.65), respectively. The most consistent factors associated with childhood stunting, wasting, and being underweight in Africa were low mother's education, prolonged duration of armed conflict, and rural place of residence., Conclusion: The severity of malnutrition crises will be assisted by a better understanding of the variables associated with child malnutrition, which will improve the effectiveness of development and humanitarian responses. We urge that health planners, policymakers, and the general public prioritize children with acute malnutrition in Africa's conflict-affected areas., Systematic Review Registration: PROSPERO CRD42022367487., (© 2023. The Author(s).)

Background: Soil-transmitted helminthes (STHs) are the major public health problems that affect the health of pregnant women and their incoming newborns. In Ethiopia, about 33.35% of pregnant women were affected by these infections. Utilization of deworming medication during pregnancy is the main strategy endorsed by the World Health Organization (WHO) to reduce the burden of STH-induced anemia and its related complications. However, information related to the coverage and its individual as well as community-level factors on the utilization of deworming medication among pregnant mothers with at least one antenatal care (ANC) visit is limited in Ethiopia., Methods: A nationwide population-based cross-sectional study was conducted from January 18 to June 27, 2016. The information was obtained from the 2016 Ethiopian Demographic Health Survey (EDHS 2016), which can be accessed at: https://www.dhsprogram.com. A weighted sample of 4690 pregnant women selected using a two-stage stratified cluster sampling technique was included in the final analysis. A Multi-variable multilevel binary logistic regression model was fitted to identify the determinants of the utilization of deworming medication during pregnancy. Log-likelihood ration (LLR), deviance and Akaike's Information Criterion (AIC) were used to select the best fitted model in the multilevel analysis. Statistical significance was declared at p-value <0.05., Result: From a total of 4690 mothers included in the final analysis, only 365 (7.8%) of them utilized deworming medication in pregnancy. After controlling for confounding effects, having four or more Antenatal care (ANC) visits, having functional working status, intake of iron folic acid (IFA) tablets and coming from a community with a low poverty level increases the odds of utilization of deworming medication during pregnancy., Conclusion and Recommendation: In this study, less than one in ten pregnant mothers takes deworming medication. Mothers with less than four ANC visits, who did not receive IFA tablets, who came from a community with a high poverty level, and mothers with no good functional status were at the greatest risk of not receiving deworming medication during pregnancy. Sustained efforts need to be undertaken to increase the socioeconomic status of the community and to scale up the health care utilization behaviors of pregnant mothers., Competing Interests: The authors declare that they have no conflicts of interest for this work., (Copyright: © 2023 Bantie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Hygienic umbilical cord care is one of the essential interventions advocated to reduce neonatal mortality. However, traditional cord care measures-applying cow dung and oil-that have harmful health consequences are commonly practiced in Ethiopia. Hence, in this study, it was planned to analyze individual and community-level factors associated with the application of cow dung and oil on the umbilical cord stump in Ethiopia., Methods: Data from the 2016 Ethiopian demographic and health survey were used to identify individual and community level factors associated with women's practice of applying cow dung and oil on the umbilical cord stump of their neonate. Taking into account for the hierarchical structure of the data; multilevel binary logistic regression analysis has been employed to a nationally representative weighted sample of 7,168 women., Results: In Ethiopia, 780 (10.88%) with 95% CI (10.18-11.62) women apply oil and/or cow dung on the neonate's umbilical cord stump. Age increase by one year [AOR = 0.97; 95% CI (0.94-0.99)] and giving birth in a health facility [AOR = 0.61; 95% CI (0.42-0.89)] were individual-level factors that reduced women's practice of applying cow dung and oil on the umbilical cord stump of their neonate. Whereas, rural residence [AOR = 2.54; 95% CI (1.28-5.06)] was the predictor at the community level that raised the practice of applying cow dung and oil on the neonate's umbilical cord stump., Conclusion: This nationwide study revealed that a significant number of mothers in Ethiopia still apply cow dung and/or oil on the umbilical cord stump of their neonates. Both the individual and community level characteristics: maternal age, place of delivery, and residence were found to have significant influence on the practice of applying cow dung and/or oil on the umbilical cord stump in Ethiopia. Thus, to reduce neonatal mortality due to avoidable umbilical cord infections, clean cord care practice strategies should be designed by considering these factors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2022 Dessie, Geremew, Feleke, Anley, Mruts, Yenew, Bantie, Misganaw, Kerebeh, Gebeyehu, Asnakew and Anteneh.)

Introduction: Visual impairment is a major public health problem in developing countries where there is no enough health-care service. It has a significant impact on the affected child's psychological, educational and socioeconomic experiences, during childhood and beyond. Therefore, the aim of this review was to estimate the pooled prevalence of visual impairment and its associated factors among children in Ethiopia., Method: This systematic review and meta-analysis was designed based on the PRISMA guidelines. Relevant published articles in Ethiopia from 2011-2021 were searched in PubMed/Medline, HINARI, Google scholar, and conference paper and thesis or research final reports were accessed from Ethiopian Universities' repositories. Data was extracted in Microsoft excel by using JBI data extraction checklist. The pooled prevalence and odds ratio of associated factors with their 95% CI was computed by using STATA 14/SE software. A fixed effect meta-analysis model was employed for a Cochrane Q test statistic and I2 test showed there was no heterogeneity in the included studies., Result: A total of 7,647 children from nine studies were included in this study. The overall prevalence of visual impairment among children in Ethiopia was 7% (95% CI: 6, 7%). The pooled prevalence of visual impairment by region was almost similar in Ethiopia. However, there was no significant association between the identified factors and visual impairment among children. But the result showed that being males (AOR 0.642, 95% CI: 0.357-1.156), Children in the age of 10-13 years (AOR 0.224, 95% CI: 0.046-1.102) and 14-18 years (AOR 0.508, 95% CI: 0.102-2.534) were found to be less likely to have visual impairment. On the other hand, children of parents with visual impairment (AOR 1.820, 95% CI: 0.381-8.698) more likely to have visual impairment., Conclusion: Visual impairment among children in Ethiopia is still a public health problem one year later to VISION 2020, a global initiative aimed to eliminate avoidable blindness. All most one out of fourteen children in Ethiopia had visual impairment. Therefore, the government of Ethiopia should focus on effective, efficient, comprehensive eye health care services by integrating with the national health system to prevent avoidable visual impairment among children., Competing Interests: The authors have declared that no competing interests exist.