Introduction Hypertension is a major public health problem globally and it is a leading cause of death and disability in developing countries. This review aims to estimate the pooled prevalence of hypertension and its determinants in Ethiopia. Methods A systematic literature search was conducted at the electronic databases (PubMed, Hinari, and Google Scholar) to locate potential studies. Heterogeneity between studies checked using Cochrane Q test statistics and I2 test statistics and small study effect were checked using Egger’s statistical test at 5% significance level. Sensitivity analysis was checked. A random-effects model was employed to estimate the pooled prevalence of hypertension and its determinants in Ethiopia. Results In this review, 38 studies that are conducted in Ethiopia and fulfilled the inclusion criteria with a total number of 51,427 study participants were reviewed. The overall pooled prevalence of hypertension in the country was 21.81% (95% CI: 19.20–24.42, I2 = 98.35%). The result of the review also showed that the point of prevalence was higher among males (23.21%) than females (19.62%). When we see the pervasiveness of hypertension from provincial perspective; the highest prevalence of hypertension was observed in Addis Ababa (25.35%) and the lowest was in Tigray region (15.36%). In meta-regression analysis as the mean age increases by one year, the likelihood of developing hypertension increases by a factor of 0.58 times (β = 0.58, 95% CI: 0.31–0.86, R2 = 36.67). Male sex (OR = 1.29, 95% CI: 1.03–1.61, I2 = 81.35%), age > 35 years (OR = 3.59, 95% CI: 2.57–5.02, I2 = 93.48%), overweight and/or obese (OR = 3.34, 95% CI: 2.12–5.26, I2 = 95.41%), khat chewing (OR = 1.42, 95% CI: I2 = 62%), alcohol consumption (OR = 1.50, 95% CI: 1.21–1.85, I2 = 64%), family history of hypertension (OR = 2.56, 95% CI: 1.64–3.99, I2 = 83.28%), and family history of diabetes mellitus (OR = 3.69, 95% CI: 1.85–7.59, I2 = 89.9%) are significantly associated with hypertension. Conclusion Hypertension is becoming a major public health problem in Ethiopia. Nearly two out of ten individuals who are older than 18 years living with hypertension. Sex, age, overweight and/or obese, khat chewing, alcohol consumption, and family history of hypertension and diabetes mellitus are statistically significant determinant factors for hypertension in Ethiopia. Primary attention should be given for behavioral risk factors to tackle the alarming increase of hypertension in Ethiopia.

ObjectiveThis study aimed to assess the trends and factors that had contributed to the change in home delivery in Ethiopia over the last decade.Design, setting and analysisA nationally representative repeated cross-sectional survey was conducted using 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. Multivariate decomposition logistic regression analysis was employed to identify significant factors that have been contributed to the change in home delivery. Level of statistical significance was declared at a two-sided p value <0.05.Outcome measureTrends of home delivery.ParticipantsA total of 33 482 women were included.ResultsHome delivery has been decreased by 21% over the last decade in Ethiopia. In the last decade, 39% of the decrements in home delivery attributed to change in women’s compositional characteristics. Antenatal care visits, educational status of the women and husband, birth order, religion, wealth index and distance from a health facility were the main sources of compositional change factors for the change of home delivery. Behavioural changes towards health facility delivery contributed approximately two-thirds of the decline of home delivery in Ethiopia. Antenatal care visits, birth order and religion have significantly contributed to the change of home delivery resulted from behavioural changes towards healthcare facility utilisation over the last decade.ConclusionDespite the importance of health facility delivery, a significant number of women still deliver at home in Ethiopia. Women’s compositional characteristics and behaviour changes were significantly associated with the change in home delivery. Multisectoral educational intervention is needed to change women’s attitudes towards home delivery. Antenatal care coverage and healthcare facility coverage should increase thereby to improve healthcare facility based-delivery practice. Further research needs to be done to explore the potential barriers of health facility delivery from a religious perspective.

Introduction Vitamin A deficiency is a major public health problem in poor societies. Dietary consumption of foods rich in vitamin A was low in Ethiopia. This study aimed to assess the spatial distribution and spatial determinants of dietary consumption of foods rich in vitamin A among children aged 6–23 months in Ethiopia. Methods Ethiopian 2016 demographic and health survey dataset using a total of 3055 children were used to conduct this study. The data were cleaned and weighed by STATA version 14.1 software and Microsoft Excel. Children who consumed foods rich in vitamin A (Egg, Meat, Vegetables, Green leafy vegetables, Fruits, Organ meat, and Fish) at least one food item in the last 24 hours were declared as good consumption. The Bernoulli model was fitted using Kuldorff’s SaTScan version 9.6 software. ArcGIS version 10.7 software was used to visualize spatial distributions for poor consumption of foods rich in vitamin A. Geographical weighted regression analysis was employed using MGWR version 2.0 software. A P-value of less than 0.05 was used to declare statistically significant predictors spatially. Results Overall, 62% (95% CI: 60.56–64.00) of children aged 6–23 months had poor consumption of foods rich in vitamin A in Ethiopia. Poor consumption of foods rich in vitamin A highly clustered in Afar, eastern Tigray, southeast Amhara, and the eastern Somali region of Ethiopia. Spatial scan statistics identified 142 primary spatial clusters located in Afar, the eastern part of Tigray, most of Amhara and some part of the Oromia Regional State of Ethiopia. Children living in the primary cluster were 46% more likely vulnerable to poor consumption of foods rich in vitamin A than those living outside the window (RR = 1.46, LLR = 83.78, P < 0.001). Poor wealth status of the household, rural residence and living tropical area of Ethiopia were spatially significant predictors. Conclusion Overall, the consumption of foods rich in vitamin A was low and spatially non-random in Ethiopia. Poor wealth status of the household, rural residence and living tropical area were spatially significant predictors for the consumption of foods rich in vitamin A in Ethiopia. Policymakers and health planners should intervene in nutrition intervention at the identified hot spot areas to reduce the poor consumption of foods rich in vitamin A among children aged 6–23 months.

Introduction: Vitamin A deficiency is a major nutritional public health problem in poor societies. Dietary consumption of foods rich in vitamin A was low in Ethiopia. This study aimed to assess the spatial distribution and its determinants of dietary consumption of foods rich in vitamin A among children age 6-23 months in Ethiopia. Methods: A total of 3055 children were included and data were accessed from 2016 Ethiopian Demographic and Health Survey dataset . The data was cleaned and weighted by STATA version 14.1 software and Microsoft excel. The Bernoulli model fitted using Kuldorff’s SaTScan version 9.6 software. ArcGIS version 10.7 software was used to visualize spatial distribution for poor consumption of foods rich in vitamin A. Geographical weighted regression analysis was employed by MGWR version 2.0 software. A P-value of less than 0.05 was used to declare statistically significant predictors locally. Results: Overall, 62% (95% CI: 60.56, 64.00) of children age 6-23 months had poor consumption of foods rich in Vitamin A in Ethiopia. Poor consumption of foods rich in vitamin A highly clustered at Afar, eastern Tigray, southeast of Amhara, and eastern Somali region of Ethiopia. Spatial scan statistics identified 142 primary spatial clusters located at Afar, the eastern part of Tigray, most part of Amhara and some part of Oromia Regional State of Ethiopia. Children living in the primary cluster were 46% more likely venerable poor consumption of foods rich in vitamin A than outside the window (RR= 1.46, LLR = 83.78, P < 0.001). Poor wealth status of the household, rural residence and living tropical area of Ethiopia were statistically significant predictors spatially. Conclusion: Overall, the consumption of foods rich in vitamin A was low and spatially non-random in Ethiopia. Poor wealth status of the household, rural residence and living tropical area were significant predictors for the consumption of foods rich vitamin A locally in Ethiopia. Policymakers and health planners should intervene in nutrition intervention at the identified hot spot areas to reduce poor consumption of foods rich in vitamin A among children age 6-23 months.