Rotavirus vaccine dose-two dropout and its associated factors among children who received rotavirus vaccine dose-one in Sub-Saharan African countries: A multilevel analysis of the recent demographic and health survey.

Rotavirus is the most common cause of diarrhea in children worldwide. In 2016, rotavirus infection resulted in 258 173 300 episodes of diarrhea and 128 500 child deaths in the globe. The study aimed to assess the magnitude of Rotavirus vaccine dose-two dropout and associated factors among children who received rotavirus vaccine dose-one in sub-Saharan African countries. The appended and most recent demographic and health survey (DHS) dataset of 17 sub-Saharan African countries was used for data analysis. A total of 73,396 weighted samples were used. Factors associated with the outcome variable were considered significant if their p-values were ≤ .05 in the multilevel mixed-effect logistic regression model. The overall Rotavirus vaccine dose-two dropouts was 10.77% (95% CI 10.55%, 11.00%), which ranged from 2.77% in Rwanda to 37.67% in Uganda. Being younger, late birth order, having difficulty accessing health facilities, having no media exposure, having no work, having home delivery, having no antenatal follow-up, and having no postnatal checkup were factors significantly associated with the outcome variable. The overall Rotavirus vaccine dose-two dropout was higher in sub-Saharan African countries which implies that vaccine dropout is still a great issue in the region. Special attention should be given to those mothers who are young, who have no work, who give birth at home, who experienced difficulty in accessing health facilities, and late birth orders. Furthermore, targeted interventions should be considered for improving access and utilization of media, antenatal care, and postnatal care services.

Incidence and predictors of virological failure among HIV infected children and adolescents on first-line antiretroviral therapy in East Shewa hospitals, Oromia Region, Ethiopia: A retrospective follow up study.

INTRODUCTION: Despite gains made from improved antiretroviral therapy coverage in resource limited countries, the occurrence of first line drug resistance remains a priority agenda. To reduce the emergence of resistant viruses, HIV viral load monitoring plays a critical role. However, many resource limited countries have difficulty of monitoring viral load due to economic constraints.There is also limited study regarding viral failure in developing countries. Therefore, this study aimed to assess the incidence and predictors of virological failure among HIV-infected children and adolescents on first-line ART Ethiopia, 2021. METHODS: Institution based retrospective follow-up study was employed on 492 children and adolescents. Data were collected by trained nurses who have experience working in ART clinics. Data were entered using Epi-data version 4.6 and exported to Stata version 14 for analysis. The proportional hazard assumption was checked, and the Weibull regression was fitted. Cox-Snell residual was used to test the goodness of fit, and the appropriate model was selected by AIC. Finally, an AHR with a 95% CI was computed, and variables with a P-value < 0.05 in the multivariable analysis were taken as significant predictors of virological failure. RESULTS: The overall incidence rate of virological failure was 4.2, (95% CI: 3.41, 5.22) per 1000 person-months of observation with 20,169 person-months follow-up time. In multivariable analysis living in rural area (AHR = 1.97, 95% CI: 1.15-3.36), poor adherence (AHR = 2.20, 95% CI: 1.24-3.91), lower CD4 Count <200 cells/mm3 (AHR = 2.57, 95% CI: 1.27-5.18) and 201-350 cells/mm3 (AHR = 2.44, 95% CI: 1.28-4.67) respectively, and recent OI (AHR = 4.60, 95% CI: 2.38-8.90) are significantly associated with virological failure. CONCLUSION: The incidence rate of virological failure was high. Living in a rural, poor adherence, lower CD4 count, and recent opportunistic infection were independent risk factors associated with virological failure. Hence, it is better to give priority to strengthening the focused evaluation of important variables and managing accordingly.

Spatial distribution and determinants of tetanus toxoid immunization among pregnant women in Ethiopia using data from Ethiopian demographic and health survey 2016.

INTRODUCTION: Tetanus is a major public health problem caused by clostridium tetani. Although it is vaccine-preventable, the case fatality rate among neonates in areas with poor immunization coverage and limited access to clean deliveries reaches 80-100%. Vaccination of pregnant mothers with the tetanus toxoid (TT) vaccine is the most effective way to protect against neonatal tetanus. This study aimed to examine the spatial distribution and determinants of tetanus toxoid immunization among pregnant mothers using the 2016 EDHS data. METHOD: Secondary analysis of the Ethiopia Demographic and Health Survey 2016 was done to assess the spatial distribution and determinants of tetanus toxoid vaccine among pregnant women in Ethiopia. Spatial autocorrelation analysis and hot spot analysis were used to detect spatial dependency and spatial clustering of the tetanus toxoid vaccine in Ethiopia. Spatial interpolation was used to predict the tetanus toxoid vaccine coverage in unsampled areas. The multilevel binary logistic regression model was fitted to identify factors associated with tetanus toxoid vaccination. An adjusted odds ratio with 95% CI was calculated and used as the measure of association and a p-value less than 0.05 were considered statistically significant. RESULT: From the total of 7043 pregnant women, 42.4% of them have taken at least two doses of tetanus toxoid immunization. Spatial clustering of TT immunization was observed in the Northern, Southwestern and Southwestern parts of Ethiopia. Whereas, low TT coverage was observed in the Eastern and Western parts of the country. Increased ANC visits and the richest economic status favored TT immunization, whereas living in Addis Ababa and Dire Dewa cities decreased the TT immunization coverage. CONCLUSION: The finding of this study reveals that TT immunization had spatial dependency, with the highest immunization coverage observed in the Northern, Southwestern and Southeastern parts of the Country. Thus, geographically targeted interventions should be implemented particularly in the eastern and western parts of the country.

Multilevel analysis of factors associated with untreated diarrhea among under five children in Ethiopia using Ethiopian demographic and health survey.

Diarrhea refers to the abrupt onset of three or more loose or liquid stools per day. It is the second leading cause of death in infants worldwide. It is an endemic disease and continues to be a serious threat to children in Ethiopia. Despite being a condition that may be prevented, diarrhea can have a negative impact on a child's health. Also, studies have not been able to explore the role of socio-economic characteristics in hindering the treatment. Therefore, this study aimed to explore socio-economic factors that influence treatment of childhood diarrhea. Secondary data analysis was conducted based on the demographic and health surveys data conducted in Ethiopia. A total weighted sample of 1227 under-five children was included for this study. Mixed-effect binary logistic regression analysis was done to identify associated factors of untreated diarrhea. Adjusted Odds Ratio with 95% CI was used to declare the strength and significance of the association. Prevalence of untreated diarrhea among under five children in Ethiopia was 57.32% (95% CI 54.52-60.06%). In the mixed-effect analysis; Children aged 6-11, 12-23, and 24-35 (AOR 0.384, 95% CI 0.187-0.789), 71% (AOR 0.29, 95% CI 0.149-0.596), and 51% (AOR 0.49, 95% CI 0.238-0.995). Children from family number six and above (AOR 1.635, 95% CI 1.102-2.426). Children from middle wealth of family (AOR 1.886, 95% CI 1.170-3.3040). Children from a community with high level of uneducated (AOR 2.78, 95% CI 1.065-3.442) were significantly associated with untreated diarrhea. The prevalence of untreated diarrhea among under-five children in Ethiopia is high. Age of child, family number, household wealth, and community-level educational status were significantly associated with untreated diarrhea among under-five children in Ethiopia. Hence, increasing community educational status, boosting the economic status of the community, and family planning for the community should get due attention.

Incidence and predictors of mortality among neonates admitted with perinatal asphyxia at west Oromia tertiary hospitals, Ethiopia, 2022.

BACKGROUND: Perinatal asphyxia is one of the preventable and treatable causes of neonatal mortality. However, it is the fifth-largest cause of under-five mortality. Even with management advancements, it remains one of the key public health issues in underdeveloped countries, including Ethiopia. Comorbidities are also understated; therefore, adequate information regarding the incidence of death and its predictors is required. METHODS: A four-year retrospective follow-up study was conducted from October 3 to November 2, 2022. From a total sample size, of 655, 616 data were collected by nurse through follow-up reviews charts using Kobo Toolbox software. The data was exported to STATA Version 14 for analysis. The Cox proportional hazard assumption was checked, and the model for the data was selected using Akaike Information Criteria. Finally, an adjusted hazard ratio with 95% CI was computed, and variables with a P-value < 0.05 in the multivariable analysis were taken as significant predictors of death. RESULT: The overall incidence of mortality was 38.86/1000 (95% CI: 33.85-44.60). The median time of follow-up was 15 days (95% CI: 14-20). The proportion of deaths was 202 (32.79%, 95% CI: 29.18-36.61) among neonates with perinatal asphyxia. While the distance from health facility > 10 km is (AHR: 2.25; 95% CI: 1.60-3.17), direct oxygen (AHR: 1.83; 95% CI: 1.35-2.48), APGAR score (Appearance, Pulse, Grimace, Activity, and Respiration) < 3 at the fifth minute (AHR: 2.63; 95% CI: 1.03-6.73), prolonged rupture of membrane (AHR: 1.41; 95% CI: 1.02-1.94), and stage III hypoxic ischemic encephalopathy (AHR: 2.02; 95% CI: 1.18-3.47) were predictors of mortality among neonates with perinatal asphyxia. CONCLUSION: According to this study's findings, high neonatal mortality due to perinatal asphyxia requires proper intervention regarding membrane rupture, APGAR score (Appearance, Pulse, Grimace, Activity, and Respiration), oxygen use, stage III hypoxic-ischemic encephalopathy, and residence distance.

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

INTRODUCTION: Respiratory distress syndrome is the major cause of neonatal death. However, data on the mortality and predictors related to respiratory distress syndrome were scarce. Hence, this study aimed to assess the incidence and predictors of death among neonates admitted with respiratory distress syndrome in West Oromia Referral Hospitals, Ethiopia, 2022. METHODS: A retrospective follow-up study was conducted among 406 neonates admitted with respiratory distress syndrome at five referral hospitals from, 1 January 2019 to, 31 December 2021 in West Oromia, Ethiopia. The data were collected using a structured checklist and participants were selected using simple random sampling technique. The data were entered into Epi data version 4.6.0.2 and exported to STATA version 14 for cleaning, coding and analysis. The Kaplan-Meier curve was used to estimate survival time. The Weibull regression model was fitted to identify the predictors of mortality and variables with a P-value < 0.05 was taken as significant predictors of mortality. RESULT: Four hundred six neonates with respiratory distress syndrome were included in the analysis. The overall incidence of neonatal mortality was 59.87/1000 neonates-days observations (95%CI: 51.1-70.2) with a proportion of 152 (37.44%) (95% CI: 32.7-42.2). The median time of follow-up was 11 days (95% CI: 10-23). Very low birthweight (AHR = 4.5, 95%CI: 2.0-10.9) and low birth weight (AHR = 3.1, 95%CI: 1.4-6.6), perinatal asphyxia (AHR = 2.7, 95%CI: 1.8-4), Chorioamnionitis (AHR = 2.2, 95%CI: 1.4-3.5) and multiple pregnancies (AHR = 2.2, 95%CI: 1.4-3.4) increased the hazard of death, whereas, antenatal corticosteroid administration (AHR = 0.33, 95%CI: 0.2-0.7) was negatively associated with neonatal mortality. CONCLUSION AND RECOMMENDATION: High mortality rate of neonates with respiratory distress syndrome was observed. Chorioamnionitis, perinatal asphyxia, low birth weight and multiple pregnancies increase the, mortality hazard while administering antenatal corticosteroids decreases it. Thus, administering corticosteroids- before giving birth and special emphasis on children with Chorioaminoitis, asphyxia, low birth weight and multiple pregnancies is important for reducing neonatal mortality.

Individual and community level predictors of women's autonomy in health care decision-making among youth in East African countries: a multilevel analysis.

OBJECTIVE: The autonomy of young women in healthcare decision-making has been reported to be lower, particularly in low-income and middle-income countries. This study was conducted to estimate the magnitude and the factors associated with autonomy in healthcare decision-making among youth in East African countries. DESIGN AND SETTING: A population-based, cross-sectional study was conducted with data from the most recent Demographic and Health Surveys conducted in 11 East African countries (Burundi, Ethiopia, Kenya, Comoros, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe) conducted from 2011 to 2019. PARTICIPANTS: Weighted sample of 24 135 women aged 15-24 years. PRIMARY OUTCOMES: Healthcare decision-making autonomy. METHODS: A multi-level logistic regression model was used to identify factors associated with women's autonomy in making decisions about their healthcare. Statistical significance was determined using an adjusted OR with 95% CI at a p value less than 0.05. RESULTS: Healthcare decision-making autonomy among youth in East Africa was 68.37% (95% CI 68%, 70%). In a multivariable analysis older aged youths (20-24 years) (adjusted OR (AOR)=1.27; 95% CI 1.19, 1.36), youths having an occupation (AOR=1.34; 95% CI 1.25, 1.53), having employed husband (AOR=1.12 95% CI 1.00, 1.26), exposure to media (AOR=1.18 95% CI 1.08, 1.29), rich wealth index 1.18 (AOR=1.18 95% CI 1.08, 1.29), female household head, youths having secondary and higher education, youths whose husband had secondary and higher education, and country were significant predictors of healthcare decision making autonomy. CONCLUSION: Almost one-third of young women have no autonomy in healthcare decision-making. Older youth, being educated, having an educated husband, having an occupation, having an employed husband, exposure to media, female household head, rich wealth index and country are significant predictors for being autonomous in healthcare decision-making. Public health interventions should target uneducated and unemployed youth, poor families and those without media exposure to increase autonomy in health decisions.

Major maternal related determinants of non-breastfeeding among mothers in Ethiopia: A multilevel analysis from DHS Ethiopia 2016.

INTRODUCTION: In Ethiopia, the burden of non-breastfeeding is still high despite substantial improvements in breastfeeding. However, the determinants of non-breastfeeding were poorly understood. Therefore, the aim of this study was to identify the maternal -related factors associated with non-breastfeeding. METHODS: An in-depth analysis of data from the Ethiopian Demographic and Health Survey 2016 (EDHS 2016) was used. A total weighted sample of 11,007 children was included in the analysis. Multilevel logistic regression models were fitted to identify factors associated with non-breastfeeding. A p-value < of 0.05 was used to identify factors significantly associated with non-breastfeeding. RESULTS: The prevalence of non-breastfeeding in Ethiopia was 5.28%. The odds of not breastfeeding were 1.5 times higher among women aged 35to 49 years (AOR = 1.5 CI: 1.034, 2.267) than among women aged 15to 24 years. The odds of not breastfeeding were higher among children whose mothers had BMIs of 18.5-24.9 (AOR = 1.6 CI: 1.097, 2.368) and 25-29.9 (AOR = 2.445 CI: 1.36, 4.394) than among women with BMIs of < 18.5. In addition, not breastfeeding was also significantly associated with ANC follow-up, where mothers who had 1-3 ANC follow-up had a 54% decreased odds (AOR = 0.651 CI: 0.46,0.921) compared to mothers who had no ANC follow-up. Demographically, mothers from Somalia region were five times (AOR = 5.485 CI: 1.654, 18.183) and mothers from SNNP region were almost four times (AOR = 3.997 CI: 1.352, 11.809) more likely to not breastfeed than mothers residing in Addis Ababa. CONCLUSIONS: Although breastfeeding practices are gradually improving in Ethiopia, the number of children not breastfed remains high. Individual-level characteristics (women's age, body mass index, and ANC follow-up) and community-level characteristics (geographic region) were statistically significant determinants of non-breastfeeding. Therefore, it is good for the federal minister of Health, planners, policy and decision- makers, and other concerned child health programmers to prioritize both individual and community factors.

Prevalence, spatial distribution and determinants of infant mortality in Ethiopia: Findings from the 2019 Ethiopian Demographic and Health Survey.

INTRODUCTION: Infant mortality declined globally in the last three decades. However, it is still a major public health concern in Ethiopia. The burden of infant mortality varies geographically with the highest rate in Sub-Saharan Africa. Although different kinds of literature are available regarding infant mortality in Ethiopia, an up to date information is needed to design strategies against the problem. Thus, this study aimed to determine the prevalence, show the spatial variations and identify determinants of infant mortality in Ethiopia. METHODS: The prevalence, spatial distribution, and predictors of infant mortality among 5,687 weighted live births were investigated using secondary data from the Ethiopian Demographic and Health Survey 2019. Spatial autocorrelation analysis was used to determine the spatial dependency of infant mortality. The spatial clustering of infant mortality was studied using hotspot analyses. In an unsampled area, ordinary interpolation was employed to forecast infant mortality. A mixed multilevel logistic regression model was used to find determinants of infant mortality. Variables with a p-value less than 0.05 were judged statistically significant and adjusted odds ratios with 95 percent confidence intervals were calculated. RESULT: The prevalence of infant mortality in Ethiopia was 44.5 infant deaths per 1000 live births with significant spatial variations across the country. The highest rate of infant mortality was observed in Eastern, Northwestern, and Southwestern parts of Ethiopia. Maternal age between 15&19 (adjusted odds ratio (AOR) = 2.51, 95% Confidence Interval (CI): 1.37, 4.61) and 45&49(AOR = 5.72, 95% CI: 2.81, 11.67), having no antenatal care follow-up (AOR = 1.71, 95% CI: 1.05, 2.79) and Somali region (AOR = 2.78, 95% CI: 1.05, 7.36) were significantly associated with infant mortality in Ethiopia. CONCLUSION: In Ethiopia, infant mortality was higher than the worldwide objective with significant spatial variations. As a result, policy measures and strategies aimed at lowering infant mortality should be devised and strengthened in clustered areas of the country. Special attention should be also given to infants born to mothers in the age groups of 15-19 and 45-49, infants of mothers with no antenatal care checkups, and infants born to mothers living in the Somali region.

Determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia: A multilevel analysis using 2016 demographic and health survey.

Background: Despite remarkable improvements in child health services utilization, childhood immunization has been poorly implemented in Ethiopia. However, evidence on the coverage of immunization among children from mothers/caregivers with no education (non-educated mothers were the most identified risk for underutilization of services) are scarce. Therefore, this study aimed to assess the determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia. Methods: We analyzed data from the 2016 Ethiopia Demographic and Health Survey (EDHS) on a sample of 1,170 children 12-23 months of age identified from deviant mothers/caregivers (mothers/caregivers with no education) through a two-stage stratified sampling. A multilevel mixed-effect binary logistic regression analysis was used to identify the individual and community level determinants of full immunization coverage among children 12-23 months of age with their deviant mothers/caregivers. In the final model, a p-value of < 0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) were used to select statistically significant determinants of full immunization coverage. Results: The overall full immunization coverage among children 12-23 months of age identified from deviant mothers/caregivers was 27.4% (95%CI: 25.0, 31.0) in Ethiopia. Deviant mothers/caregivers who are employed (AOR = 1.69, 95%CI: 1.68, 2.45), being in the rich household wealth status (AOR = 2.54, 95%CI: 1.53, 4.22), residing in city (AOR = 5.69, 95%CI: 2.39, 13.61), having one to three (AOR: 3.28, 95% CI: 2.12-5.07) and four and more ANC follow-up during the recent pregnancy (AOR: 3.91, 95% CI: 2.45, 6.24) were the determinants that increased full immunization coverage among children 12-23 months of age. Conclusions: Full immunization coverage among children 12-23 months of age from non-educated mothers/caregivers was low and far behind the national target of coverage. Therefore, a system-wide intervention should be used to enhance employability, wealth status, and key maternal health services like ANC follow-up among non-educated mothers/caregivers to increase their children's full immunization coverage.

Socioeconomic inequality in modern contraceptive utilization among reproductive-age women in sub-Saharan African countries: a decomposition analysis.

INTRODUCTION: Family planning services allow individuals to achieve desired birth spacing, family size, and contribute to improved health outcomes for infants, children, women, and families, and prevent unintended pregnancy. Births resulting from unintended pregnancies can have negative consequences Children from unintended pregnancies are more likely to experience poor mental and physical health during childhood. Even though many international organizations work to ensure universal access to sexual and reproductive health services, reproductive health service utilization is concentrated among individuals with rich socioeconomic status. Therefore, this study aimed to assess the presence of socioeconomic inequality in modern contraceptive utilization and its contributors in sub-Saharan African countries. METHODS: A total of 466,282 weighted reproductive-aged women samples from DHS data SSA countries were included in the study. Erreygers normalized concentration index and its concentration curve were used to assess socioeconomic-related inequality in modern contraceptive utilization. Decomposition analysis was performed to identify factors contributing to socioeconomic-related inequality. RESULTS: The weighted Erreygers normalized concentration index for modern contraceptive utilization was 0.079 with Standard error = 0.0013 (P value< 0.0001); indicating that There is small amount but statistically significant pro rich distribution of wealth related in equalities of modern contraceptive utilization among reproductive age women. The decomposition analysis revealed that mass media exposure, wealth index., place of residency, and distance of health facility were the major contributors to the pro-rich socioeconomic inequalities in modern contraceptive utilization. CONCLUSION AND RECOMMENDATION: In this study, there is a small amount but statistically significant pro rich distribution of modern contraceptive utilization. Therefore, give priority to modifiable factors such as promoting the accessibility of health facilities, media exposure of the household, and improving their country's economy to a higher economic level to improve the wealth status of the population.

Adverse birth outcome and associated factors among mothers with HIV who gave birth in northwest Amhara region referral hospitals, northwest Ethiopia, 2020.

Adverse birth outcomes are a common cause of health problems in developing nations and have a significant negative impact on infant health as well as financial costs to families, communities, and the world. Mothers with HIV may be at increased risk of adverse birth outcomes. However, there is a limited study about adverse birth outcomes among mothers with HIV around the world including in Ethiopia. Therefore this study aimed to assess adverse birth outcomes and associated factors among mothers with HIV Facility based cross-sectional study was conducted among mothers with HIV who gave birth in northwest Amhara region referral hospitals from September 2016 to September 2019. Simple random sampling was used to select 590 mothers. Bivariable and multivariable logistic regressions were carried out to identify factors. Statistical significance was declared by using a p-value < 0.05. An adjusted odds ratio was used to show the magnitude of the association. Out of a total of 590 mothers, the prevalence of adverse birth outcomes among HIV-positive mothers was 21% (95% CI 17.8-24.6%). History of spontaneous abortion [AOR = 1.9, 95% CI (1.19, 3.70)], PROM [AOR = 3.55, 95% CI (1.72, 7.30)], opportunistic infection [AOR = 3.38, 95% CI (1.50, 8.22)], pre-pregnancy BMI of < 18.5 [AOR = 5.61, 95% CI (1.97, 15.91)], MUAC < 23 cm [AOR = 2.56, 95% CI (1.10, 5.97)], and ANC visit of < 4 times [AOR = 3.85, 95% CI (2.34, 6.55)] were significantly associated with Adverse birth outcome. The prevalence of adverse birth outcomes was high. Abortion history, MUAC, BMI, Opportunistic infection, PROM, and a number of ANC visits were associated with adverse birth outcomes. This study suggests to increase number of antenatal care follow-ups, prevent and treat opportunistic infections, and focus on early detection and treatment of pregnancy-related complication.

Mapping underweight in children using data from the five Ethiopia Demographic and Health Survey data conducted between 2000 and 2019: A geospatial analysis using the Bayesian framework.

Background and aims: The Sustainable Development Goal is targeted to end all types of malnutrition including underweight by 2030. However, the reduction rate is not as expected to meet the target. Thus, we aimed to investigate the spatiotemporal distributions and drivers of underweight among children aged below 5 years in Ethiopia. Methods: Geostatistical analysis using the Bayesian framework was conducted to map the spatial and Spatiotemporal distributions of underweight. Data for the primary outcome was obtained from the Ethiopian Demographic and Health Survey 2000-2019. Covariate data were accessed from different credible online sources at high resolutions. Spatial binomial regression was fitted to identify drivers of underweight using the Bayesian approach. Results: The overall national prevalence of underweight was 44.7, 37.7, 35.4, 25.5, and 23.8% in 2000, 2005, 2011, 2016, and 2019, respectively, with a total reduction rate of 46.8%. Significant spatial clustering of underweight was observed in Northern, Northwestern, Southeastern, Eastern borders, and the border between Oromia and SNNPR regions. Mean annual temperature (mean regression coefficient (ß): -0.39; 95% credible interval (95% CrI): -0.63, -0.14), altitude (ß:-0.30; 95% CrI: 0.57, -0.05), population density (ß:-0.03; 95% CrI: -0.03, -0.02), and distance to water bodies (ß:-0.03; 95% CrI: -0.05, -0.004) were negatively associated with being underweight. However, travel time to the nearest cities in minutes (ß: 0.09; 95% CrI: 0.03, 0.14) was positively associated with being underweight. Conclusion: The national prevalence of underweight is reduced slower than expected in Ethiopia, with significant spatial variations across subnational and local levels. Temperature, altitude, population density, and distance to water bodies were negatively associated with underweight, whereas travel time to the nearest cities was positively associated with underweight in Ethiopia. Improving child nutrition through creating awareness and providing clean water should be strengthened.

Multilevel analysis of undernutrition and associated factors among adolescent girls and young women in Ethiopia.

BACKGROUND: The consequences of undernutrition have serious implication for the health and future reproductive periods of adolescent girls and young women aged 15-24 years. Inspite of this, they are neglected age groups and there is limited information about the nutritional status of this age group in Ethiopia. Therefore, estimating the extent and associated factors of undernutrition among adolescent girls and young women in a national context using multilevel analysis is essential. METHODS: Secondary data analysis was conducted from the Ethiopian Demographic and Health Survey 2016. A total sample weight of 5362 adolescent girls and young women was included in this study. A multilevel mixed-effect binary logistic regression model with cluster-level random effects was fitted to determine the associated factors of undernutrition among adolescent girls and young women in Ethiopia. Finally, the odds ratios along with the 95% confidence interval was generated to determine the individual and community level factors of undernutrition. A p-value less than 0.05 was declared as the level of statistical significance. RESULTS: Overall, 25.6% (95%CI: 24.5-26.9) of adolescent girls and young women were undernourished. Statistically significant individual level factors includes adolescent girls and young women aged 15-19 years (AOR: 1.53, 95%CI: 1.32-1.77), individual media exposure (AOR: 0.82, 95%CI: 0.69-0.97), and unprotected drinking water source (AOR: 1.24, 95%CI: 1.04-1.48). Whereas, Southern Nations, Nationalities, and Peoples' Region (AOR: 0.33, 95%CI: 0.13-0.83) and rural residence (AOR: 1.69, 95%CI: 1.24-2.32), were community level factors for adolescent girls and young women undernutrition. CONCLUSION: One quarter of the Ethiopian adolescent girls and young women were undernourished. Therefore, the Ethiopian government should better engage this age group in different aspects of the food system. To improve nutritional status, public health interventions such as increased media exposure for rural residents and interventions that improve access to protected water sources will be critical.

Sexually transmitted infections related care-seeking behavior and associated factors among reproductive age women in East Africa: a multilevel analysis of demographic and health surveys.

BACKGROUND: Sexually transmitted infections are serious global public health issue, and their consequences contribute significantly to population morbidity and mortality, especially in Sub-Saharan Africa. However, there is limited information about the sexually transmitted infections related care-seeking behavior in East Africa. Therefore, this study aimed to assess the pooled prevalence of sexually transmitted infections related care-seeking behavior, and associated factors among reproductive-age women in East Africa using the recent Demographic and Health Survey. METHODS: This study was based on recent Demographic and Health Survey of 8 East African countries from 2008/09 to 2018/2019. A total weighted sample of 12,004 reproductive-age women who reported sexually transmitted infections or symptoms of sexually transmitted infections in the last 12 months wereincluded. A multi-level mixed-effect logistic regression model was used and a P-value of < 0.05 was considered a statistically significant level for identification of individual and community level factors and AOR with a 95% l CI was computed. RESULT: The overall prevalence of sexually transmitted infections related care-seeking behavior among reproductive-age women in East African countries was 54.14% [95% CI: 53.25%, 55.03%]. In multilevel analysis: being age 25-34 [AOR = 1.27 95%CI: 1.15-1.41], 35-49 [AOR = 1.26 95%CI: 1.13-1.41], women who attained secondary or above education [AOR = 1.27, 95% CI: 1.09, 1.47], being in rich household [AOR = 1.27, 95% CI 1.14, 1.41], women who were currently pregnant [AOR = 1.29, 95% CI 1.13, 1.47], who had been tested for HIV [AOR = 1.99, 95% CI 1.70, 2.33], women who had one and more than one sexual partner [AOR = 1.18, 95% CI 1.05, 1.34], women who lived in urban area [AOR = 1.16, 95% CI: 1.03, 1.31] and who perceived distance from the health facility was not a big problem was [AOR = 1.13, 95% CI 1.04, 1.23] were significantly associated with sexually transmitted infections related care-seeking behavior. CONCLUSION: sexually transmitted infections related care-seeking behavior is relatively low as compared with other studies.. This study revealed that individual-level variables such as women's age, educational status, household wealth index, pregnancy status, ever been tested for HIV, number of sexual partners, and community-level variables such as residence and distance from a health facility were associated with sexually transmitted infections related care-seeking behavior. Therefore, public health interventions targeting uneducated women, poor households, and adolescents, as well as improving counseling and awareness creation during HIV/AIDS testing and Antenatal care visits, are vital to improving sexually transmitted infections care seeking behavior.

COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

Coronavirus disease (COVID-19) is a global pandemic caused by the SARS-CoV-2 virus. COVID-19 vaccine is the best strategy for prevention. However, it remained the main challenge. Therefore, this systematic review and meta-analysis aimed to determine the overall pooled estimate of COVID-19 vaccine acceptance and its predictors in Ethiopia. Consequently, we have searched articles from PubMed, EMBASE, Web of Science, Google Scholar, reference lists of included studies, and Ethiopian universities' research repository. The weighted inverse variance random effects model was employed. The quality of studies and the overall variation between studies were checked through Joanna Briggs Institute (JBI) quality appraisal criteria and heterogeneity test (I2), respectively. The funnel plot and Egger's regression test were also conducted. Following that, a total of 14 studies with 6,773 participants were considered in the study and the overall pooled proportion of COVID-19 vaccine acceptance was 51.2% (95% CI: 43.9, 58.5). Having good knowledge (Odds ratio: 2.7; 95% CI: 1.1, 7.1; P. VALUE: 0.00), chronic disease (Odds ratio: 2; 95% CI: 1.3, 3.1), older age (Odds ratio: 1.8; 95% CI: 1.1, 3.0; P. VALUE: 0.02), and secondary education and above (Odds ratio: 3.3; 95% CI: 1.7, 6.7; P. VALUE: 0.00) were significantly associated with the acceptance of COVID-19 vaccine. In conclusion, Having good knowledge, chronic disease, older age, and secondary education and above were significantly associated with COVID-19 vaccine acceptance. Therefore, special attention and a strengthened awareness, education, and training about COVID-19 vaccine benefits had to be given to uneducated segments of the population.

Spatial distribution and determinants of newbornsnot receiving postnatal check-up withintwodays after birth in Ethiopia: a spatial and multilevel analysis of EDHS 2016.

BACKGROUND: Accessibility and utilization of postnatal newborn check-ups within 2 days after delivery are critical for a child's survival, growth, and development. However, the service delivery is not yet improved and fluctuates across the geographical locations in Ethiopia. Therefore, this study aimed to assess the spatial distribution and determinants of newborns not received postnatal check-ups within 2 days after birth in Ethiopia. METHODS: A secondary data analysis of the Ethiopia Demographic and Health Survey (EDHS) 2016 was done among live births within 2 years preceding the survey. A multilevel binary logistic regression model was fitted to identify the factors associated with the outcome variable. Adjusted Odds Ratio with 95% (Confidence Interval) was calculated and used as a measure of associations and variables with a p-value < 0.05, were declared as statistically significant. RESULTS: A total of 4036 live newborns in Ethiopia were included in the analysis, of whom half (51.21%) were females. The mean age of the mothers was 33+ SD 1.3, and more than 60 % (61.56%) of the mothers were not educated. The national prevalence of newborns not receiving postnatal check-ups within 2 days after birth was 84.29 (95% CI: 83.10-85.41) with significant spatial variations across the study area. Mothers who had no ANC visits were 58% higher than (AOR = 0.42(0.27-0.66) mothers who had > 4 ANC visits. Mothers who gave birth at home and others were 80% (AOR = 0.02(0.01-0.29) and 25% (AOR = 0.76(0.59-0.99), higher than mothers delivered at hospital. Rural mothers were 1.90 times higher (AOR = 1.90(1.29-2.81) than urban mothers, and mothers live in administrative regions of Afar 66% (AOR = 0.34(0.16-0.69), Oromia 47% (AOR = 0.53(0.30-0.91), Somali 60% (AOR = 0.40 (0.22-0.74),Benishangul 50% (AOR = 0.50 (0.27-0.92), SNNPR 67% (AOR = 0.33(0.19-0.57), Gambela 70% (AOR = 0.30 (0.16-0.56), Harari 56% (AOR = 0.44 (0.25-0.78), and Dire Dawa70% (AOR = 0.30 (0.17-0.54) were higher than Addis Abeba for not receiving postnatal checkup of new born within the first 2 days, respectively. CONCLUSIONS: Low postnatal check-up utilization remains a big challenge in Ethiopia, with significant spatial variations across regional and local levels. Spatial clustering of not receiving postanal check-ups within 2 days was observed in Afar, Oromia, Gambela, Benishangul, SNNPR, Harari, and Dire Dawa regions. Residence, ANC visits, place of delivery, and administrative regions were significantly associated with not receiving postnatal check-ups. Geographically targeted interventions to improve ANC follow-up and institutional delivery should be strengthened.

Spatial distribution and associated factors of community based health insurance coverage in Ethiopia: further analysis of Ethiopian demography and health survey, 2019.

BACKGROUND: Community-Based Health Insurance is an emerging concept for providing financial protection against the cost of illness and improving access to quality health services for low-income households excluded from formal insurance and taken as a soft option by many countries. Therefore, exploring the spatial distribution of health insurance is crucial to prioritizing and designing targeted intervention policies in the country. METHODS: A total of 8,663 households aged 15-95 years old were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of community based health insurance. ArcGIS version 10.3 was used to visualize the distribution of community-based health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of community-based health insurance coverage. RESULTS: Community based health insurance coverage among households had spatial variations across the country by regions (Moran's I: 0.252, p < 0.0001). Community based health insurance in Amhara (p < 0.0001) and Tigray (p < 0.0001) regions clustered spatially. Age from 15-29 and 30-39 years (Adjusted Odds Ratio 0.46(AOR = 0.46, CI: 0.36,0.60) and 0.77(AOR = 0.77, CI: 0.63,0.96), primary education level 1.57(AOR = 1.57, CI: 1.15,2.15), wealth index of middle and richer (1.71(AOR = 1.71, CI: 1.30,2.24) and 1.79(AOR = 1.79, CI: 1.34,2.41), family size > 5, 0.82(AOR = 0.82, CI: 0.69,0.96),respectively and regions Afar, Oromia, Somali, Benishangul Gumuz, SNNPR, Gambella, Harari, Addis Ababa and Dire Dawa was 0.002(AOR = 0.002, CI: 0.006,0.04), 0.11(AOR = 0.11, CI: 0.06,0.21) 0.02(AOR = 0.02, CI: 0.007,0.04), 0.04(AOR = 0.04, CI: 0.02,0.08), 0.09(AOR = 0.09, CI: 0.05,0.18),0.004(AOR = 0.004,CI:0.02,0.08),0.06(AOR = 0.06,CI:0.03,0.14), 0.07(AOR = 0.07, CI: 0.03,0.16) and 0.03(AOR = 0.03, CI: 0.02,0.07) times less likely utilize community based health insurance than the Amhara region respectively in Ethiopia. CONCLUSION: Community based health insurance coverage among households in Ethiopia was found very low still. The government needs to develop consistent financial and technical support and create awareness for regions with lower health insurance coverage.

Determinants of Inadequate Minimum Dietary Diversity Intake Among Children Aged 6-23 Months in Sub-Saharan Africa: Pooled Prevalence and Multilevel Analysis of Demographic and Health Survey in 33 Sub-Saharan African Countries.

Background: Inappropriate feeding practices result in significant threats to child health by impaired cognitive development, compromised educational achievement, and low economic productivity, which becomes difficult to reverse later in life. There is minimal evidence that shows the burden and determining factors of inadequate dietary intake among children aged under 2 years in sub-Saharan African (SSA) countries. Therefore, this study aimed to assess the pooled magnitude, wealth-related inequalities, and other determinants of inadequate minimum dietary diversity (MDD) intake among children aged 6-23 months in the SSA countries using the recent 2010-2020 DHS data. Methods: A total of 77,887 weighted samples from Demographic and Health Survey datasets of the SSA countries were used for this study. The Microsoft Excel and STATA version 16 software were used to clean, extract, and analyze the data. A multilevel binary logistic regression model was fitted. The concentration index and curve were applied to examine wealth-related inequalities in the outcomes. P-value < 0.05 with 95% CI was taken to declare statistical significance. Results: The pooled magnitude of inadequate MDD intake among children aged 6-23 months in SSA was 76.53% (95% CI: 73.37, 79.70), ranging from 50.5% in South Africa to 94.40% in Burkina Faso. Individual-level factors such as women having secondary and above education (AOR = 0.66; 95% CI; 0.62, 0.70), being employed (AOR = 0.76; 95% CI; 0.72, 0.79), having household media exposure (AOR = 0.69; 95% CI; 0.66, 0.72), richest wealth (AOR = 0.46; 95% CI; 0.43, 0.50), having health institution delivery (AOR = 0.87;95% CI; 0.83, 0.91), and community-level factor such as living in upper middle-income country (AOR = 0.42; 95% CI; 0.38, 0.46) had a significant protective association, whereas rural residence (AOR = 1.29; 95% CI; 1.23, 1.36) has a significant positive association with inadequate MDD intake among children aged 6-23 months. Inadequate MDD intake among children aged 6-23 months in SSA was disproportionately concentrated on the poor households (pro-poor) (C = -0.24; 95% CI: -0.22, -0.0.26). Conclusion and Recommendations: There is a high magnitude of inadequate minimum dietary diversity intake among children aged 6-23 months in SSA. Variables such as secondary and above maternal education, having an employed mother, having exposure to media, richest wealth, having health institution delivery, and living in the upper middle-income country have a significant negative association, whereas living in rural residence has a significant positive association with inadequate MDD intake. These findings highlight that to increase the MDD intake in the region, policy makers and other stakeholders need to give prior attention to enhancing household wealth status, empowering women, and media exposure.

Multilevel analysis of quality of antenatal care and associated factors among pregnant women in Ethiopia: a community based cross-sectional study.

OBJECTIVE: To determine the magnitude of quality of antenatal care and associated factors among pregnant women in Ethiopia. DESIGN: A community-based cross-sectional study. SETTING: Ethiopia. PARTICIPANTS: A total of 4757 weighted sample of pregnant women from 18 January 2016 to 27 June 2016, were included for this analysis. OUTCOME: Quality of antenatal care (ANC). METHODS: Our analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey. The quality of ANC was measured when all six essential components, such as blood pressure measurements, blood tests, urine tests, nutrition counselling, birth preparation advice during pregnancy and information on potential complications, were provided. Stata V.14 software was used for analysis. A multilevel mixed-effect logistic regression analysis was fitted. Adjusted OR (AOR) with 95% CIs was used to show the strength and direction of the association. Statistical significance was declared at a p value less than 0.05. RESULTS: The magnitude of quality of ANC in Ethiopia was 22.48% (95% CI: 21.31% to 23.69%). Educational status; primary (AOR=1.34; 95% CI: 1.06 to 1.68) and secondary (AOR=2.46; 95% CI: 1.76 to 3.45), middle (AOR=1.31; 95% CI: 1.01 to 1.72) and rich (AOR=2.08; 95% CI: 1.59 to 2.72) wealth status, being married (AOR=2.34; 95% CI: 1.08 to 5.10) and four or more ANC (AOR=2.01; 95% CI: 1.67 to 2.40) were statistically significant associated factors of quality ANC in Ethiopia. CONCLUSIONS: This study found that nearly only one in five pregnant women received quality ANC during pregnancy. To improve the quality of ANC in Ethiopia, Ministry of Health and health facilities are needed to increase financial support strategies that enable pregnant women from poor households to use health services and enhance pregnant women's understanding of the significance of quality of ANC through health education. Additionally, Community health workers should also be placed on supporting unmarried pregnant women to have quality ANC.