Retention rate of vaccination card and its associated factors among vaccinated children aged 12─23 months in Ethiopia: Multilevel logistic regression analysis.

BACKGROUND: Vaccine card is a crucial tool for gauging vaccine coverage. It is imperative to hold these health cards to have well-fitted data which are crucial in reaching data-driven decisions in the era of immunization surveillance and monitoring processes. However, there is limited knowledge about the retention rate of vaccination card and its associated factors in Ethiopia. OBJECTIVE: This research aimed to assess the retention rate and associated factors of vaccination card in Ethiopia, using data from the 2016 Ethiopian demographic health survey. METHODS: This study included a total of 1304 (weighted) children aged 12─23 months who were vaccinated and provided with a vaccination card. We used a multilevel logistic regression model to analyze factors associated with vaccination card retention. We considered factors to be statistically significant if they had a p-value of less than 0.05 with a respective 95% confidence interval. RESULT: Among the cohort of 1,304 immunized children, it was observed that 684, representing 52.5% (95% CI: 49.7%─55.2%), were able to present their respective vaccination card during the interview time. According to the results of the multilevel logistic analysis, there is a considerable reduction in the rate of vaccination card retention by 65% (adjusted OR 0.35, 95% CI: 0.19─0.65) and 37% (adjusted OR 0.63, 95% CI: 0.4─0.91) for individuals who are rural residents and those who are fully vaccinated, respectively. Furthermore, it is noteworthy to mention that individuals originating from socio-economic backgrounds with low poverty levels exhibit a 59% increase in vaccination card possession (adjusted OR 1.59, 95% CI: 1.11─2.50). CONCLUSION: This study revealed a low rate of holding vaccination cards. Place of residency, wealth status, and vaccination status were factors that contributed to the change in the vaccination card retention rate. It is advisable to customize the interventional strategy by taking into account the individual's residency, immunization status, and degree of poverty within the community, to achieve a favorable rate of holding vaccination cards.

Exposure to indoor air pollution and adverse pregnancy outcomes in low and middle-income countries: a systematic review and meta-analysis.

Introduction: Exposure to indoor air pollution such as biomass fuel and particulate matter is a significant cause of adverse pregnancy outcomes. However, there is limited information about the association between indoor air pollution exposure and adverse pregnancy outcomes in low and middle-income countries. Therefore, this meta-analysis aimed to determine the association between indoor air pollution exposure and adverse pregnancy outcomes in low and middle-income countries. Methods: International electronic databases such as PubMed, Science Direct, Global Health, African Journals Online, HINARI, Semantic Scholar, and Google and Google Scholar were used to search for relevant articles. The study was conducted according to the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. A random effect model at a 95% confidence interval was used to determine the association between indoor air pollution exposure and adverse pregnancy outcomes using STATA version 14. Funnel plot and Higgs I2 statistics were used to determine the publication bias and heterogeneity of the included studies, respectively. Results: A total of 30 articles with 2,120,228 study participants were included in this meta-analysis. The pooled association between indoor air pollution exposure and at least one adverse pregnancy outcome was 15.5% (95%CI: 12.6-18.5), with significant heterogeneity (I2 = 100%; p < 0.001). Exposure to indoor air pollution increased the risk of small for gestational age by 23.7% (95%CI: 8.2-39.3) followed by low birth weight (17.7%; 95%CI: 12.9-22.5). Exposure to biomass fuel (OR = 1.16; 95%CI: 1.12-1.2), particulate matter (OR = 1.28; 95%CI: 1.25-1.31), and kerosene (OR = 1.38; 95%CI: 1.09-1.66) were factors associated with developing at least one adverse pregnancy outcomes. Conclusions: We found that more than one in seven pregnant women exposed to indoor air pollution had at least one adverse pregnancy outcome. Specifically, exposure to particulate matter, biomass fuel, and kerosene were determinant factors for developing at least one adverse pregnancy outcome. Therefore, urgent comprehensive health intervention should be implemented in the area to reduce adverse pregnancy outcomes.

The association between children's exposure to pesticides and asthma, wheezing, and lower respiratory tract infections. A systematic review and meta-analysis.

Background: Exposure to pesticides is a global public health problem, especially for children. Its association with chronic respiratory disease among children has attracted considerable attention, but the existing evidence remains inconclusive and cannot be certain. Therefore, this systematic review and meta-analysis aim to determine the global pooled effect size of association with pesticide exposure and asthma, wheezing, and respiratory tract infections among children. Methods: A comprehensive search was conducted for relevant literature from electronic databases, including PubMed, Google Scholar, Hinari, Semantic Scholar, and Science Direct. Studies that provided effect size on the association between pesticide exposure and childhood asthma, wheezing, and respiratory tract infections in children were included. The articles were screened, data was extracted, and the quality of each study was assessed with four independent reviewers. Random effects models for significant heterogeneity and fixed effect models for homogeneous studies were conducted to estimate pooled effect sizes with 95% confidence intervals using Comprehensive Meta-Analysis version 3.3.070 and MetaXL version 2. Funnel plot and Higgins I 2 statistics were used to determine the heterogeneity of the included studies. Subgroup analyses were computed based on the types of pesticide exposure, study design, sample size category, and outcome assessment technique. Result: A total of 38 articles with 118,303 children less than 18 years of age were included in this meta-analysis. Pesticide exposure among children increased the risk of asthma by 24%; (OR = 1.24, 95% CI: 1.14-1.35) with extreme heterogeneity (I 2 = 81%, p < 0.001). Exposure to pesticides increased the odds of developing wheezing among children by 34% (OR = 1.34, 95% CI: 1.14-1.57), with high heterogeneity (I 2 = 79%, p < 0.001) and also increased the risk of developing lower respiratory tract infection by 79% (OR = 1.79, 95% CI: 1.45-2.21) with nonsignificant low heterogeneity (I 2 = 30%, p-value = 0.18). Conclusion: This meta-analysis provided valuable evidence supporting the association between childhood asthma, wheezing, and lower respiratory tract infection with pesticide exposure. The findings would contribute to a better understanding of the estimate of the effect of pesticide exposure on respiratory health in children and inform evidence-based preventive strategies and public health interventions.

Mapping and predicting open defecation in Ethiopia: 2021 PMA-ET study.

INTRODUCTION: There has been extensive research conducted on open defecation in Ethiopia, but a notable gap persists in comprehensively understanding the spatial variation and predictors at the household level. This study utilizes data from the 2021 Performance Monitoring for Action Ethiopia (PMA-ET) to address this gap by identifying hotspots and predictors of open defecation. Employing geographically weighted regression analysis, it goes beyond traditional models to account for spatial heterogeneity, offering a nuanced understanding of geographical variations in open defecation prevalence and its determinants. This research pinpoints hotspot areas and significant predictors, aiding policymakers and practitioners in tailoring interventions effectively. It not only fills the knowledge gap in Ethiopia but also informs global sanitation initiatives. METHODS: The study comprised a total weighted sample of 24,747 household participants. ArcGIS version 10.7 and SaT Scan version 9.6 were used to handle mapping, hotspots, ordinary least squares, Bernoulli model analysis, and Spatial regression. Bernoulli-based model was used to analyze the purely spatial cluster detection of open defecation at the household level in Ethiopia. Ordinary Least Square (OLS) analysis and geographically weighted regression analysis were employed to assess the association between an open defecation and explanatory variables. RESULTS: The spatial distribution of open defecation at the household level exhibited clustering (global Moran's I index value of 4.540385, coupled with a p-value of less than 0.001), with significant hotspots identified in Amhara, Afar, Harari, and parts of Dire Dawa. Spatial analysis using Kuldorff's Scan identified six clusters, with four showing statistical significance (P-value < 0.05) in Amhara, Afar, Harari, Tigray, and southwest Ethiopia. In the geographically weighted regression model, being male [coefficient = 0.87, P-value < 0.05] and having no media exposure (not watching TV or listening to the radio) [coefficient = 0.47, P-value < 0.05] emerged as statistically significant predictors of household-level open defecation in Ethiopia. CONCLUSION: The study revealed that open defecation at the household level in Ethiopia varies across the regions, with significant hotspots identified in Amhara, Afar, Harari, and parts of Dire Dawa. Geographically weighted regression analysis highlights male participants lacking media exposure as substantial predictors of open defecation. Targeted interventions in Ethiopia should improve media exposure among males in hotspot regions, tailored sanitation programs, and region-specific awareness campaigns. Collaboration with local communities is crucial.

Health extension service utilization in Ethiopia: systematic review and meta-analysis.

INTRODUCTION: Ethiopia strives to achieve Universal Health Coverage (UHC) through Primary Health Care (PHC) by expanding access to services and improving the quality and equitable comprehensive health services at all levels. The Health Extension Program (HEP) is an innovative strategy to deliver primary healthcare services in Ethiopia and is designed to provide basic healthcare to approximately 5000 people through a health post (HP) at the grassroots level. Thus, this review aimed to assess the magnitude of health extension service utilization in Ethiopia. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was used for this review and meta-analysis. The electronic databases (PubMed, Cochrane Library, and African Journals Online) and search engines (Google Scholar and Grey literature) were searched to retrieve articles by using keywords. The Joanna Briggs Institute (JBI) meta-analysis of statistics assessment and review instrument was used to assess the quality of the studies. Heterogeneity was assessed using the I2 statistic. The meta-analysis with a 95% confidence interval using STATA 17 software was computed to present the pooled utilization of health extension services. Publication bias was assessed by visually inspecting the funnel plot and statistical tests using Egger's and Begg's tests. RESULT: 22 studies were included in the systematic review with a total of 28,171 participants, and 8 studies were included in the meta-analysis. The overall pooled magnitude of health extension service utilization was 58.5% (95% CI: 40.53, 76.48%). In the sub-group analysis, the highest pooled proportion of health extension service utilization was 60.42% (28.07, 92.77%) in the mixed study design, and in studies published after 2018, 59.38% (36.42, 82.33%). All studies were found to be within the confidence interval of the pooled proportion of health extension service utilization in leave-out sensitivity analysis. CONCLUSIONS: The utilization of health extension services was found to be low compared to the national recommendation. Therefore, policymakers and health planners should come up with a wide variety of health extension service utilization strategies to achieve universal health coverage through the primary health care.

Six in ten female youths in low-income East African countries had problems in accessing health care: a multilevel analysis of recent demographic and health surveys from 2016-2021.

BACKGROUND: Access to health care services is a basic human right, and an individual's health and overall quality of life may suffer as a result of barriers to accessing health services. Access to comprehensive and quality health care is fundamental for promoting and maintaining health, preventing and treating diseases, and reducing premature deaths. However, only half of the African population has access to modern health services. Therefore, this study aimed to assess the health care access and associated factors among female youths in low-income East African countries. METHODS: This study used secondary data from 2016 to 2021 demographic and health surveys of 7 low-income East African countries. A total weighted sample of 51,064 youths was included. A multilevel binary logistic regression was employed to identify the associated factors of access to health care since the data has a hierarchical structure. Adjusted Odds Ratio (AOR) with a 95% confidence interval (CI) at a p-value less than 0.05 was used to measure the association of variables whereas Intra-class correlation coefficient (ICC), Median Odds Ratio (MOR), and proportional change in variance (PCV) were used to measure random effects. RESULT: The overall magnitude of access to healthcare among female youths in low-income East African countries was 38.84% (95% CI: 38.41, 39.26). Youth's educational level, rich wealth status, media exposure, and community level education were the positive while higher youth's age and rural residence were the negative predictors of access to healthcare among female youths. Besides, living in different countries compared to Burundi was also an associated factor for accessing healthcare in low-income East African countries. CONCLUSION: About six in ten female youths were not accessing health care in low-income East African countries. Therefore, to increase healthcare access, health managers and policymakers needed to develop strategies to improve the poor household wealth index, and redistribution of health services for rural residents. The decision-makers and program planners should also work on increasing access to education and media exposure for youths. Further research including health system and quality of service-related factors for accessing healthcare should also be considered by researchers.

Spatial disparity and associated factors of diarrhea among under-five children in Rwanda: a multilevel logistic regression analysis.

BACKGROUND: Diarrhea, defined as three or more loose stool per day, is a major cause of child mortality. Exploring its spatial distribution, prevalence, and influencing factors is crucial for public health decision and targeted interventions. This study aimed to investigate these aspects using 2019 Rwanda demographic health survey data. METHOD: A total 7,978 (weighted) under-five children were included in this study. Spatial clustering (hotspots areas) were mapped using ArcGIS and SaTscan software. A multilevel logistic regression model was fitted to assessed factors associated with diarrhea, reporting significance at p < 0.05 and a 95% confidence interval. RESULTS: diarrheal diseases in Rwanda showed a clustered spatial pattern (Moran's I = 0.126, p = 0.001), with the primary cluster in west and north provinces. Under-five diarrhea prevalence was 14.3% (95% CI: 13.55, 15.08). Factors increasing likelihood included maternal age 15-34 years, child age 7-24 months, while full immunization was protective (aOR = 0.74, 95% CI: 0.56, 0.98). CONCLUSION: Spatial clustering of diarrheal diseases is found in west and north provinces of Rwanda. Being born to a young mother, being a child aged 7-24 months, being fully immunized, being born to a low-educated mother and belonging to a community having low level education are factors associated with diarrheal diseases in Rwanda. Developing interventional plans based on identified clusters and approaching children based on their immunization status, maternal education and age could be cost-effective in reducing diarrheal diseases in Rwanda. Location based intervention could allow for the efficient allocation of resources by focusing on areas with higher prevalence and need.

Mortality and its predictors in abdominal injury across sub-Saharan Africa: systematic review and meta-analysis.

BACKGROUND: Abdominal injuries exert a significant impact on global morbidity and mortality. The aggregation of mortality data and its determinants across different regions holds immense importance for designing informed healthcare strategies. Hence, this study assessed the pooled mortality rate and its predictors across sub-Saharan Africa. METHOD: This meta-analysis employed a comprehensive search across multiple electronic databases including PubMed, Africa Index Medicus, Science Direct, and Hinari, complemented by a search of Google Scholar. Subsequently, data were extracted into an Excel format. The compiled dataset was then exported to STATA 17 statistical software for analysis. Utilizing the Dersimonian-Laird method, a random-effect model was employed to estimate the pooled mortality rate and its associated predictors. Heterogeneity was evaluated via the I2 test, while publication bias was assessed using a funnel plot along with Egger's, and Begg's tests. RESULT: This meta-analysis, which includes 33 full-text studies, revealed a pooled mortality rate of 9.67% (95% CI; 7.81, 11.52) in patients with abdominal injuries across sub-Saharan Africa with substantial heterogeneity (I2 = 87.21%). This review also identified significant predictors of mortality. As a result, the presence of shock upon presentation demonstrated 6.19 times (95% CI; 3.70-10.38) higher odds of mortality, followed by ICU admission (AOR: 5.20, 95% CI; 2.38-11.38), blunt abdominal injury (AOR: 8.18, 95% CI; 4.97-13.45), post-operative complications (AOR: 8.17, 95% CI; 4.97-13.44), and the performance of damage control surgery (AOR: 4.62, 95% CI; 1.85-11.52). CONCLUSION: Abdominal injury mortality is notably high in sub-Saharan Africa. Shock at presentation, ICU admission, blunt abdominal injury, postoperative complications, and use of damage control surgery predict mortality. Tailored strategies to address these predictors could significantly reduce deaths in the region.

Time to death and its determinants of under-five children in rural Ethiopia by using shared frailty.

Under-five (U5M) is one of the most significant and sensitive measures of the community's health. Children who live in rural areas are more likely than those who live in urban areas to die before the age of five. Therefore, the study aimed to assess the Survival status of under-five mortality and its determinants in rural Ethiopia. The 2019 Ethiopia Mini Demographic and Health Survey was used in this study as a secondary source (EMDHS). A total of 4426 weighted under-five children were included in the study. To determine survival time and identify predictors of death among children under the age of five, the Cox's gamma shared frailty model and the Kaplan Meier model, respectively, were used. An adjusted Hazard Ratio (AHR) along with a 95% Confidence Interval (CI) were used to measure the size and direction of the association. The Study showed that in rural Ethiopia, 6.03% of children died before celebrating their first birthday. The median age of under-five mortality in rural Ethiopia was estimated to be 29 Months. The hazard of death among under-five children and those who had given birth to two children in the last five years was 4.99 times less likely to be at risk of dying than those who had given birth to one Child in the previous five years (AHR 4.99, 95% CI 2.97, 8.83). The Study Concluded that under-five mortality remained high in rural Ethiopia. In the final model, the Age of Mothers, Sex of Household, Breastfeeding, Types of Birth, Sex of Child, Educational Level of Mothers, Wealth Index, Child ever born, Marital Status, and Water Source were significant predictors of under-five mortality. Twins and children who are not breastfed should receive additional attention, along with improving water resources for households and mothers income.

Assessing postnatal care for newborns in Sub-Saharan Africa: A multinational analysis.

BACKGROUND: No doubt providing optimal postnatal care (PNC) prevents both maternal and neonatal deaths, in addition to the prevention of long-term complications. Sub-Saharan Africa (SSA) had the highest neonatal mortality rate, despite this adequate content of PNC for the newborn is not explored in SSA, therefore, it is important to identify the factors affecting adequate content of PNC for the newborn in the region. This may assist the program and policymakers to give an intervention based on the findings of the study. METHODS: A secondary data analysis was performed using 21 SSA countries' Demographic and Health Surveys. A total weighted sample of 105,904 respondents were included in this study. A multilevel binary logistic regression model was fitted. The odds ratios along with the 95% confidence interval were generated to determine the individual and community-level factors of adequate PNC for the newborn. A p-value less than 0.05 was declared as statistical significance. RESULTS: Adequate PNC for newborns in sub-Saharan Africa was 23.51% (95% CI: 23.26, 23.77). Mothers age ≥ 35(AOR = 1.21,95% CI: 1.06,1.16), mothers' primary education (AOR = 1.18, 95% CI: 1.13, 1.23), secondary education (AOR = 1.58, 95% CI:1.51,1.66), higher education (AOR = 1.61,95% CI:1.49,1.75), rich wealth status (AOR = 1.05,95% CI = 1.01,1.10), ANC visits 1-7 (AOR = 1.61,95% CI:1.51, 1.73), antenatal care (ANC) visit 8 and above (AOR = 2.54,95% CI: 2.32, 2.77), health facility delivery (AOR = 4.37, 95% CI:4.16,4.58), lived in east (AOR = 0.23,95% CI = (0.20,0.26), central(AOR = 0.21,95% CI = 0.19,0.24), west African sub-regions (AOR = 0.23,95% CI = 0.21, 0.27), Urban dwellers (AOR = 1.22,95% CI: 1.17,1.27), and low community poverty (AOR = 1.21 (95% CI = 1.11,1.31) were associated with adequate content of PNC for the newborn. CONCLUSION: The finding of this study showed that the overall prevalence of adequate content of PNC for a newborn in SSA countries was low. The low prevalence of adequate content of postnatal care for newborns in SSA countries is a concerning issue that requires immediate attention. Age of the respondents, level of education, wealth status, ANC visits, place of delivery, residence, community-level poverty, and sub-region of SSA were the individual-level and the community-level variables significantly associated with adequate PNC for the newborn. Strategies should focus on increasing access to antenatal care services, particularly for vulnerable populations, such as younger mothers, those with lower education levels, and individuals residing in impoverished communities to improve PNC for the newborn.

Mortality of traumatic chest injury and its predictors across sub-saharan Africa: systematic review and meta-analysis, 2024.

INTRODUCTION: Globally, chest trauma remain as a prominent contributor to both morbidity and mortality. Notably, patients experiencing blunt chest trauma exhibit a higher mortality rate (11.65%) compared to those with penetrating chest trauma (5.63%). AIM: This systematic review and meta-analysis aimed to assess the mortality rate and its determinants in cases of traumatic chest injuries. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist guided the data synthesis process. Multiple advanced search methods, encompassing databases such as PubMed, Africa Index Medicus, Scopus, Embase, Science Direct, HINARI, and Google Scholar, were employed. The elimination of duplicate studies occurred using EndNote version X9. Quality assessment utilized the Newcastle-Ottawa Scale, and data extraction adhered to the Joanna Briggs Institute (JBI) format. Evaluation of publication bias was conducted via Egger's regression test and funnel plot, with additional sensitivity analysis. All studies included in this meta-analysis were observational, ultimately addressing the query, what is the pooled mortality rate of traumatic chest injury and its predictors in sub-Saharan Africa? RESULTS: Among the 845 identified original articles, 21 published original studies were included in the pooled mortality analysis for patients with chest trauma. The determined mortality rate was nine (95% CI: 6.35-11.65). Predictors contributing to mortality included age over 50 (AOR 3.5; 95% CI: 1.19-10.35), a time interval of 2-6 h between injury and admission (AOR 3.9; 95% CI: 2.04-7.51), injuries associated with the head and neck (AOR 6.28; 95% CI: 3.00-13.15), spinal injuries (AOR 7.86; 95% CI: 3.02-19.51), comorbidities (AOR 5.24; 95% CI: 2.93-9.40), any associated injuries (AOR 7.9; 95% CI: 3.12-18.45), cardiac injuries (AOR 5.02; 95% CI: 2.62-9.68), the need for ICU care (AOR 13.7; 95% CI: 9.59-19.66), and an Injury Severity Score (AOR 3.5; 95% CI: 10.6-11.60). CONCLUSION: The aggregated mortality rate for traumatic chest injuries tends to be higher in sub-Saharan Africa. Factors such as age over 50 years, delayed admission (2-6 h), injuries associated with the head, neck, or spine, comorbidities, associated injuries, cardiac injuries, ICU admission, and increased Injury Severity Score were identified as positive predictors. Targeted intervention areas encompass the health sector, infrastructure, municipality, transportation zones, and the broader community.

Urban-rural inequalities and spatial arrangement of informed choice of family planning in Ethiopia: Further analysis of 2016 Ethiopian demographic health survey.

BACKGROUND: Ethiopia has made satisfactory progress in improving maternal and child health over the past two decades. The introduction of family planning through informed choice is one of the main strategies to improve maternal and child health. However, this positive progress may have masked the significant urban-rural disparities in informed choice for family planning. OBJECTIVE: To identify factor contributing to observed urban-rural disparities and to determine the spatial distribution of informed family planning choices in Ethiopia. METHODS: The study used information from 3,511 women currently using contraceptives (rural-2685 and urban-826) as per recent Ethiopian demographic health survey cross-sectional data. Spatial and descriptive, bivariable, and multivariable logit-based decomposition analysis methods were used. RESULTS: The spatial configuration of uninformed choice was clustered. The primary cluster (LLR = 34.8, p-value<0.001) was located at the southern portion of Amhara region that covers east & west Gojjam, south Gondar and south Wollo administrative zones. The magnitude of informed choice was 12 percent higher in urban residents compared to rural residents. Urban-rural gap was attributed to variations in characteristics (74%). Place of family planning offer i.e., private health facility, being aged between 35 and 49 years, and having visited to health facility in the last 1 year are found decrease the urban-rural gap of informed family planning choice by 15%, 9% and 5% respectively. Conversely, being aged between 25 and 34 years, being a listener to radio has increased the gap by 9% and 12% respectively. CONCLUSION: The variables being private health facility visitors, being aged between 35 and 49 years and having visited health facilities in the last one year are found to increase the gap of informed family planning choices between urban and rural residents Besides, the spatial distribution of uninformed family planning choices is non-random.

Micronutrient intake and associated factors among pregnant women in East Africa: Multilevel logistic regression analysis.

BACKGROUND: Micronutrient deficiencies during pregnancy pose significant public health issues, considering the potential for negative consequences not only during pregnancy but also throughout life. Anemia in pregnant women is becoming a significant problem in developing countries, with scientific evidence indicating that 41.8 percent of women worldwide suffer from anemia. As a result, investigating the pooled prevalence and factors associated with micronutrient intake among pregnant women in East Africa is critical to alleviate the burden of micronutrient deficiency among pregnant women. METHOD: The pooled prevalence of micronutrient intake with a 95% Confidence Interval (CI) was reported and presented in a forest plot for East Africa Countries using STATA version 14.1. Intra-class Correlation Coefficient (ICC), Likelihood Ratio (LR) test, Median Odds Ratio (MOR), and deviance (-2LLR) values were used for model comparison and fitness. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤0.05 in the multilevel logistic model were used to declare significant factors associated with micronutrient intake. RESULT: The pooled prevalence of micronutrient intake in East African countries was 36.07% (95% CI: 35.82%, 36.33%). In the multilevel logistic regression model, women from the highest wealth quintile were 1.06 [AOR = 1.09, 95%CI: 1.00, 1.11] more likely to take micronutrients compared to their counterparts. Mothers who attained primary education, secondary education, and tertiary education had 1.20 times [AOR = 1.20, 95% CI: 1.15, 1.26], 1.28 times [AOR = 1.28, 95% CI: 1.19, 1.36] and 1.22 times [AOR = 1.22, 95% CI: 1.07, 1.38] more likely take micronutrient compared to mothers who attained no education, respectively. CONCLUSION: The overall prevalence of micronutrient intake in East Africa was low. Only 36% of the study participants had micronutrient intake practice. Socioeconomic factors (education level, and household wealth status) have been shown to influence micronutrient intake. Therefore, it is necessitates the continuation of ongoing projects as well as the development of fresh ones that concentrate on these variables and include effective treatments and programs, especially among underprivileged and vulnerable populations.

Individual and community-level factors associated with iron-rich food consumption among children aged 6-23 months in Rwanda: A multilevel analysis of Rwanda Demographic and Health Survey.

BACKGROUND: Iron-rich food consumption has an invaluable effect for neonatal and fetal brain development as well as metabolic activities. Despite the public health importance of the consumption of iron-rich foods, there was no study, that assessed iron-rich food consumption in Rwanda. Therefore this study aimed to assess iron-rich food consumption and associated factors among children aged 6-23 months using Rwanda Demographic and Health Survey (RDHS). METHODS: Secondary data analysis was done using RDHS-2019/20. Total weighted samples of 2455 children aged 6-23 months were included. Data coding, cleaning, and analysis were performed using Stata 16. Multilevel binary logistic regression were performed to identify factors associated with iron-rich food consumption. Adjusted Odds Ratio (AOR) with a 95% CI, and p-value <0.05 were used to declare statistical significance. RESULTS: The prevalence of good iron-rich food consumption was 23.56%(95% CI: 21.92,25.28). Northern province of Rwanda (AOR = 0.26,95%CI: 0.15,0.46), mothers secondary education and above (AOR: 2.37, 95% CI: 1.41, 4.01), married mothers (AOR:1.31, 95% CI: 1.01,1.71), rich wealth status (AOR = 2.06, 95% CI: 1.48, 2.86), having post-natal visit (AOR = 1.45, 95% CI: 1.10,1.91), mothers media exposure (AOR: 1.75, 95% CI: 1.22, 2.52) and drugs given for intestinal parasite (AOR = 1.37, 95% CI: 1.04, 1.80) were associated with iron-rich food consumption. CONCLUSIONS: This study shows that overall iron-rich foods consumption was low in Rwanda. The residing in the North province, mother's secondary and higher educational status, married marital status, rich and middle wealth status, having media exposure, drugs given for intestinal parasites, and having child's post-natal checkup were variables significantly associated with iron-rich food consumption. The region-based intervention will improve the consumption of iron-rich food. In addition, health policies and programs should target educating mothers/caregivers, encouraging parents to live together, improving their wealth status, working on mass media access by the women, and encouraging mothers post-natal checkups to improve iron-rich food consumption.

Determinants of change in unintended pregnancy in Ethiopia using the 2005 and 2016 EDHS: non-linear multivariable decomposition analysis.

BACKGROUND: Unintended pregnancy is a pregnancy either mistimed or unwanted. The main consequence of unintended pregnancy is inducing abortion. In Ethiopia, more than half of unintended pregnancies end up in abortion. OBJECTIVE: This study aims to measure the change in unintended pregnancy among women of reproductive age between survey years 2005 and 2016 and to identify the socio-demographic factors that most significantly contributed to the change. METHODS: Data from the two most recent Ethiopian Demographic and Health Surveys (EDHS) were analyzed. We quantified the contribution of socio-demographic factors in the change of unintended pregnancy, using Oaxaca-Blinder decomposition for non-linear regression models by applying the STATA command 'mvdcmp'. RESULT: Unintended pregnancy decreased from 37% in 2005 to 27% in 2016 in Ethiopia. Both changes in population characteristics and coefficient were the contributing elements to the observed change in unintended pregnancy. Among population characteristics factors, being a partial decision-maker and being a slum in the Somali region contributed 10 and 14% to the change of unintended pregnancy between the 2005 and 2016. Of the coefficient factors, knowledge of modern family planning, being a partial decision-maker, media exposure, distance to health facilities, and health facility visits contributed to the change by 93, 43, 17, and 10% respectively. CONCLUSION: The majority of the change in unintended pregnancy from 2005 to 2016 survey was due to differences in coefficients (85%). The principal contributing factors to the change of unintended pregnancy were FP knowledge, decision making, media exposure and health facility visits. Therefore, an interventional plan will be efficient, better, and more effective if focused on the larger contributing factors.

Geographical weighted regression analysis of delayed antenatal care initiation and its factors among all reproductive-aged women in Ethiopia, 2016.

BACKGROUND: Delayed antenatal care is when the first visit is carried out after 12 gestational weeks. Despite the fact that many studies have been conducted on antenatal care initiation, little attention has been paid to its spatial pattern. Therefore, this study examine geographical weighted regression analysis of delayed antenatal care initiation and its factors among all reproductive-aged women in Ethiopia. OBJECTIVE: To assess geographical weighted regression analysis of delayed antenatal care initiation and its factors among all reproductive-aged women in Ethiopia, 2016. METHODS: This study was grounded on the 2016 Ethiopian Demographic Health Survey. It incorporated extracted sample size of 4740 (weighted) reproductive-aged women. ArcGIS version 10.8 and SaTScan™ version 9.7 software were employed to investigate geographic information. To distinguish factors associated with hotspot areas, local and global models were fitted. RESULT: the geographic pattern of Delayed antenatal care initiation was clustered (Moran's I = 0.38, p < 0.001). Kuldorff's spatial scan statistics discovered three significant clusters. The most likely cluster (LLR = 66.13, p < 0.001) was situated at the zones of SNNP and Oromia regions. In the local model, being uneducated, being poor wealth, having an unwanted pregnancy, and having higher birth order were factors associated with spatial variation of delayed antenatal care. CONCLUSION: The spatial pattern of delayed antenatal care in Ethiopia is clustered. Maternal education, wealth status, pregnancy desirability, and birth order were predictor variables of spatial variation of delayed antenatal care. Therefore, designing a hotspot area-based interventional plan could help to improve early ANC initiation.

Trends and predictors of change of unmet need for family planning among reproductive age women in Ethiopia, based on Ethiopian demographic and health surveys from 2005-2016: Multivariable decomposition analysis.

BACKGROUND: By spacing births and preventing unintended pregnancies, family planning is a crucial technique strategy for controlling the fast expansion of the human population. It also improves maternal and child health. women who are thought to be sexually active but who do not use modern contraception methods, who either do not want to have any more children (Limiting) or who want to delay having children for at least two years are considered to have an unmet need for family planning (Spacing). OBJECTIVE: This study carried out to determine which socio-demographic factors are the key contributors to the discrepancies in the unmet need for family planning among women of reproductive age between surveys years 2005 and 2016. METHODS: The data for this study arrived from the Ethiopia Demographic Health Surveys in 2005, 2011, and 2016 to investigate trends and Predictors of change of unmet need for family planning among reproductive age women in Ethiopia. Pooled weighted sample of 26,230 (7761 in 2005, 9136 in 2011 and 9,333 in 2016 Ethiopian demographic health surveys) reproductive-age women were used for this study. For the overall trend (2005-2016) multivariable decomposition analysis for non-linear response outcome was calibrated to identify the factors that contributed to the change of unmet need for family planning. The Logit based multivariable decomposition analysis utilizes the output from the logistic regression model to assign the observed change in unmet need for family planning over time into two components. Stata version 16.0 was used to analyze the data. RESULT: The percentage of Ethiopian women of reproductive age who still lack access (unmet need) for family planning declined from 39.6% in 2005 to 23.6 percent in 2016. The decomposition analysis revealed that the change of unmet need for family planning was due to change in characteristics and coefficients. The difference in coefficients accounted for around nine out of 10 variations in unmet family planning need. Education level, birth order, and desired number of children were all factors that changed over the course of the last 11 years in relation to the unmet need for family planning. CONCLUSION: Between 2005 and 2016, there were remarkable changes in unmet need for family planning. Women with birth orders of five and up, women with secondary education, and women who wanted fewer children overall were the main causes of the change in unmet need for family planning.

Pooled prevalence and associated factors of diarrhea among under-five years children in East Africa: A multilevel logistic regression analysis.

BACKGROUND: Worldwide, diarrhea is the second most common cause of death and morbidity among under -five years' children. In sub-saran Africa, access to water, sanitation, and hygiene are very scanty and the burden of diarrhea diseases is countless relative to the rest of the world. Prior studies conducted in East Africa vary in design, sample size, and other data collection tools. Through those studies, it is hard to make regional comparisons. Combining datasets that are studied on similar people and having common variable identified enhances statistical power due to the large sample size, advance the ability to compare outcomes, and create the opportunity to develop new indicators. Hence, this study aimed to assess the prevalence and associated factors of diarrhea among under five years' children using the most recent national representative Demographic and Health Surveys from 12 East African countries. The information generated from this pooled datasets will give good insight into the sub-regional prevalence of diarrhea. METHODS: This study utilized secondary data from 12 East African countries' most recent demographic health survey. Variables were extracted and appended together to assess the pooled prevalence of diarrhea and associated factors. A total of 90,263 under-five years of age children were encompassed in this study. STATA version was used to cross-tabulate and fit the models. To account for the hierarchical nature of the demographic health survey, multilevel logistic regression was calibrated. BIC, AIC, deviance, and LLR were used as Model comparison parameters. Variables with a p-value of <0.2 were considered for multivariable analysis. Adjusted odds ratio with 95% CI and p-value <0.05 were used to declare statistical significances of factors. RESULTS: The pooled prevalence of diarrhea in under five years children was 14.28% [95%CI; 14.06%, 14.51%]. Being child whose mother age is 15-24 years [AOR = 1.41, 95% CI; 1.33, 1.49], 25-34 years[AOR = 1.17, 95%CI; 1.10, 1.23], being 7-12 months child [AOR = 3.10, 95%CI; 2.86, 3.35], being 12-24 months child [AOR = 2.56, 95%CI; 2.38, 3.75], being 25-59 months child [AOR = 0.88, 95%CI; 0.82, 0.95], being child from poor household [AOR = 1.16, 95%CI; 1.09, 1.23], delayed breast feeding initiation (initiated after an hour of birth) [AOR = 1.15, 95%CI; 1.10, 1.20], and being a child from community with low educational status [AOR = 1.10, 95%CI; 1.03, 1.18] were factors associated with diarrheal diseases. CONCLUSION: The pooled prevalence of diarrhea among under five years of children in East African countries is high. Maternal age, child's age, wealth status of the household, the timing of breast feeding initiation, sex of the child, community level of educational status, working status of the mother, and the number of under five children were factors that were associated with diarrheal diseases. Scaling up of maternal and child health services by government and other concerned bodies should consider those economically marginalized communities. Additionally, awareness should be created for those uneducated mothers concerning the nature of childhood diarrhea.

Spatial variation and associated factors of deworming among children aged 24 to 59 months in Ethiopia: spatial and multilevel logistic analysis.

BACKGROUND: Intestinal parasitic infection is one of the neglected tropical diseases (NTD) which is mainly concentrated in developing countries. Gastrointestinal parasitic infections are diseases of poverty, which mainly affects children living in tropical and subtropical regions like Ethiopia. Deworming to children aged 24-59 months of age is one of the strategic initiatives to halt the global burden of intestinal parasitosis among under-five children. The information generated at local levels like hotspot areas (clusters with a high proportion of poor deworming uptake) that were identified in this study could help decision-makers to develop location-based interventional strategies. OBJECTIVE: This study was aimed to assess the spatial variation and factors associated with poor deworming uptake among children aged 24-59 months in Ethiopia using evidence from the 2016 Ethiopian Demographic Health Survey (EDHS). METHODS: To explore, create, visualize and edit the spatial information of poor uptake of deworming medication, ArcGIS version 10.8 software was used. The spatial pattern of poor deworming uptake was determined using global spatial autocorrelation. Purely spatial scan statistic was used to identify statistically significant hotspot areas using SaTScan™ version 9.7 software. Multilevel logistic regression analysis was fitted to identify factors associated with poor deworming uptake in Ethiopia. Variables with a p-value< 0.2 in the bivariable regression were considered for multivariable regression analysis. Adjusted odds ratio with a 95% confidence interval (CI) and p-value < 0.05 were used to declare the statistical significance of each factor. RESULTS: The spatial pattern of poor deworming uptake in Ethiopia was non-random, i.e. clustered. The most likely cluster was found concentrated in most parts of Somali and East Oromia. Variables like being born from an uneducated mother ((Adjusted Odds Ratio (AOR) = 1.65; 95% CI: 1.16-2.36)), being born from an unemployed mother (AOR = 1. 1.43; 95% CI: 1.19-1.74), being delivered at home (AOR = 1.60 95% CI: 1.27, 2.02), diarrhea in the last 2 weeks (AOR = 0.68, 95%CI: 0.51, 0.90), and region of residency were the significant variables associated with poor deworming medication uptake among children aged to 24 to 59 months in Ethiopia. CONCLUSION: The spatial pattern of poor deworming uptake was non-random in Ethiopia. Variables like educational status, employment, distance, place of delivery, diarrhea and region of living were found associated with poor deworming uptake. Tailoring interventional programs based on identified clusters is recommended to minimize this unfavorable deworming uptake.

Vaccination status and factors associated among children age 12-23 months in Ethiopia, based on 2016 EDHS: Logit based multinomial logistic regression analysis.

BACKGROUND: Childhood immunization is one of the most cost-effective prevention measures for children's mortality and morbidity, saving 2-3 million lives per year. In Ethiopia, under-five mortality rates, about 190,000 children die each year. Different research conducted in Ethiopia on childhood vaccination have focused on either vaccination coverage of individual vaccine or complete and incomplete vaccination. As far as my literature searching, studies separated the vaccination status into non-vaccinated, partially vaccinated and full vaccinated and assorted factors among children age 12-23 month in Ethiopia were limited. Therefore, the aim of this study was to identify factors associated with vaccination status among children 12-23 months of age in Ethiopia. METHOD: A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 1911 children age 12-23 months of age were included in the study. Logit based Multinomial logistic regression analysis was computed to distinguish factors associated with routine vaccination of children aged 12-23 months. P-value less than 0.05 was used to declare statistical significance of each independent variables, and adjusted odd ratio (AOR) with 95% confidence interval were used to present the result and STATA 14 was utilized for data management and analysis. RESULT: Overall the prevalence of full vaccinated children was 35%, while 49% of children were partially vaccinated and 16% were non-vaccinated. In multinomial analysis, having focused ANC (at least four visits) contrasted to no ANC visits at all had 9.7 higher odd of being fully vaccinated than not vaccinated [AOR = 9.74, 95% CI = 3.52-26.94], and 5 times higher odd of being partially vaccinated than not vaccinated [AOR = 4.97, 95% CI = 2.00-12.33]. CONCLUSION: The present study found that childhood full vaccination status was low compared with the World Health Organization targets. Frequency of ANC visit and visited by field worker were significantly associated both partially and full vaccination whereas, visited health facility last 12 months and wealth status were significantly associated with childhood full vaccination.