Joint decision on contraceptive use and determinant factors among married women of reproductive ages (15-49) in Ethiopia: a multilevel analysis using Ethiopian Demographic and Health Survey; 2016 data.

BACKGROUND: Contraceptive usage in Ethiopia is significantly influenced by the decision-maker at the household level. Joint decision-making involving both women and their husbands/partners is considered ideal for improving contraceptive uptake among women and for managing health outcomes related to contraceptive side effects. However, there is a lack of substantial evidence regarding the prevalence and impact of joint decision-making on contraceptive use in Ethiopia. Therefore, the current study aimed to assess the magnitude of joint decision-making on contraceptive use and its determinant factors among married, contraceptive-using, reproductive-age women in Ethiopia. METHODS: This study was conducted based on the Ethiopian Demographic and Health Survey (EDHS) 2016 data. A total weighted sample of 3,669 married, contraceptive-using, reproductive-age women were included in the study. Multilevel logistic regression was employed due to the hierarchical nature of the data. Variables with a p-value of ≤ 0.2 in the bivariate multilevel analysis were included in the multivariable multilevel analysis. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to determine the direction and strength of associations. Variables with a p-value of < 0.05 in the multivariable multilevel analysis were considered statistically significant for joint decision-making on contraceptive use. RESULTS: The prevalence of joint decision-making on contraceptive use in Ethiopia was 78.81% [95% CI: 71.35-74.23%]. Several factors were found to be statistically significant in relation to joint decision-making on contraceptive use: Women educational level primary, secondary, and higher (Adjusted odds' ratio (AOR = 1.5; CI 1.2-1.9), (AOR = 1.9; CI 1.3-2.9), and (AOR = 2.1; CI 1.2-3.5) respectively, protestant in religion (AOR = 1.7; CI 1.7-2.5), wealth status rich (AOR = 1.4; CI 1.1-1.9), media exposure (AOR = 1.4; CI 1.1-1.9), and community poverty high (AOR = 0.6; CI 0.6-0.9). CONCLUSIONS: In Ethiopia, the majority of contraceptive users are married, reproductive-age women, and their decision to use contraceptives is typically made jointly with their husbands or partners. Factors positively associated with joint decision-making on contraceptive use include women's educational level (primary, secondary, and higher), being Protestant, having a higher wealth status, and media exposure. Conversely, women living in communities with high poverty levels are less likely to make joint decisions about contraceptive use. Health care providers, health care programmers and policy makers should be focused on these determinant factors to enhance joint decision-making in women's contraceptive use in Ethiopia.

What are the associated factors of low husbands/partners independent decision-maker in women's contraceptive use decision-making process in Ethiopia? Multilevel analysis.

BACKGROUND: Many married women of reproductive age with husbands or partners are less cooperative in using contraceptives, often resulting in unintended pregnancies or secret contraceptive use. This private use of contraceptives causes women to suffer from side effects without proper support, and many women in Ethiopia die due to unintended pregnancies. However, the involvement of husbands or partners in the contraceptive decision-making process in Ethiopia is often neglected. There is also a lack of evidence regarding the determinants of husbands' or partners' decision-making power on contraceptive use in Ethiopia. OBJECTIVE: This study aimed to assess the determinants of low involvement of husbands/partners in women's contraceptive use decision-making processes in Ethiopia. METHODS: This study was based on Ethiopian Demographic and Health Survey data, collected from January 18 to June 27, 2016. Weighted samples of 3,669 reproductive-age women were included. Husbands'/partners' independent decision-making was measured by whether the husband/partner decided independently or alone about contraceptive use, categorized as "Yes" or "No". A multilevel logistic regression model was fitted, and ICC (Intra-class Correlation Coefficient), MOR (Median Odds Ratio), PCV (Proportion Change in Variance), and deviance were used to assess model fitness and comparison. Variables with a p-value of ≤ 0.2 in the bivariate analysis were considered candidates for multivariable multilevel analysis. An adjusted odds ratio with a 95% confidence interval was used to determine both the direction and strength of the association, and a p-value of < 0.05 was used to declare statistical significance. RESULTS: Husbands'/partners' independent decision-making in women's contraceptive use was found to be 5.41% [4.72-6.19%]. Significant factors associated with this included: Husbands/partners aged 31-59 years (Adjusted Odds Ratio (AOR) = 1.3; Confidence Interval (CI) 2.3-5.4) and over 59 years (AOR = 2.3; CI 1.2-4.3), Educational level of husbands/partners: primary education (AOR = 3.2; CI 2.9-4.3), secondary education (AOR = 3.9; CI 2.7-4.4), and higher education (AOR = 4.3; CI 2.8-5.0), Media exposure (AOR = 4.5; CI 2.2-5.4), History of pregnancy termination (AOR = 3.3; CI 2.6-4.1), Perception that distance to health facilities is not a significant problem (AOR = 3.0; CI 1.7-4.7) and Urban residency (AOR = 3.5; CI 1.6-4.2). CONCLUSIONS: In Ethiopia, the involvement of husbands/partners in the contraceptive use decision-making process is low. To increase their decision-making power, attention should be given to factors such as age, educational level, media exposure, history of pregnancy termination, distance to health facilities, and urban residency.

Emergency contraceptive knowledge and associated factors among abortion experienced reproductive age women in Ethiopia: a multilevel analysis using EDHS 2016 data.

BACKGROUND: Emergency contraceptives (EC) are used to avoid unintended pregnancy, hence avoiding its incidence and its effects. In Ethiopia, emergency contraception is commonly accessible, especially in the big cities. However, there is virtually little understanding of or awareness of EC and Ethiopia has a high abortion rate. Therefore this study was aimed to assess the magnitude and associated factors for emergency contraceptive knowledge in Ethiopia. METHODS: The study was based on secondary data analysis of the Ethiopian Demographic and Health Survey 2016 data. A total weighted sample of 1236 reproductive age women was included. A multilevel mixed-effect binary logistic regression model was fitted to identify the significant associated factors of emergency contraceptive knowledge. Statistical significance was determined using Adjusted Odds Ratio (AOR) with 95% confidence interval. RESULTS: Overall magnitude of emergency contraceptive knowledge was observed to be 17.19% (95% CI: 15.18, 19.40) with intra-class correlation (ICC) 57% and median odds ratio (MOR) 6.4 in the null model. Women's age 25-34 (AOR = 2.6; 95% CI: 1.2, 5.5), and 35-49 (AOR = 1.5; 95% CI: 1.06, 3.3), secondary and above educational level (AOR = 3.41; 95% CI: 2.19, 4.88), media exposure (AOR = 2.97; 95% CI: 1.56, 5.64), Being in metropolitan region (AOR = 2.68; 95% CI: 1.46, 4.74), and women being in urban area (AOR = 3.19; 95% CI: 1.20, 5.23) were associated with emergency contraceptive knowledge. CONCLUSION: Emergency contraceptive knowledge in this study was low. Women age, educational level, media exposure, residency, and region were significantly associated with emergency contraceptive knowledge. Therefore, to enhance understanding and use of ECs in the current Ethiopian setting, it is imperative to ensure exposure to EC information, particularly in rural regions.

Spatial variations and determinants of knowledge of ovulatory period among young women in Ethiopia: a spatial and multilevel analysis using 2016 EDHS.

BACKGROUND: Knowledge of the ovulatory period enables women in avoiding and engaging in sexual intercourse either to avoid and to have pregnancy as desired. It has been reported that young people have less knowledge of the ovulatory period. There is limited evidence about the spatial variability of knowledge of the ovulatory period among young women in Ethiopia. Hence, this study aimed to assess the spatial variation and factors sociated with knowledge of the ovulatory period among youths in Ethiopia for providing geographically targeted interventions. METHOD: A secondary data analysis was carried out using the 2016 Ethiopian Demographic and Health Surveys with a total weighted sample of 6143 youths. Multilevel logistic regression analysis was utilized to identify factors influencing knowledge of the ovulatory period. ArcGIS version 10.7 software and Kuldorff's SaTScan version 9.6 was used for the spatial analysis. RESULTS: Being older youth [AOR = 1.98; 1.46, 2.70], youths having primary education [AOR = 1.70; 1.23, 2.35], youths having secondary & higher education [AOR = 2.30; 1.41, 3.74], youths whose husbands have primary education [AOR = 1.39; 1.02, 1.91], and youths who use contraception [AOR = 1.66; 1.24, 2.22] were significant predictors of knowledge of ovulatory period. Knowledge of the ovulatory period among youth had non random spatial distribution across Ethiopia, and the primary clusters of incorrect knowledge of the ovulatory period were observed in Somalia, SNNPR, Benishangul gumuz, and Gambella regions of Ethiopia. CONCLUSION: There was a non-random spatial pattern in the distribution of knowledge of the ovulation period among young women in Ethiopia. Age of youth, educational status, education of husband, and contraceptive use were significant predictors of knowledge of the ovulatory period among young women in Ethiopia. Hence, interventions should prioritize at-risk youths residing in regions with limited knowledge of the ovulatory period to enhance their awareness of the fertility window.

Spatial distribution and associated factors of severe malnutrition among under-five children in Ethiopia: further analysis of 2019 mini EDHS.

BACKGROUND: Malnutrition is both a significant cause and a result of poverty and deprivation. In developing nations, child malnutrition is still the main public health issue. Severe malnutrition affects every system of the body and leads to medical instability. The assessment of the burden of severe malnutrition is important for ready-to-use therapeutic foods and preparing therapy for these conditions. Therefore, this study aimed to assess the prevalence and spatial distribution of severe malnutrition and the factors associated with it. METHODS: Data from the 2019 Mini-EDHS (Ethiopian Demographic and Health Surveys) with stratified sampling techniques were used. The data were weighted using sample weight to restore the data's representativeness and provide accurate statistical estimations. A total of 5,006 weighted samples of children under the age of five were used to analyze the study. A multilevel binary logistic regression model was built, and a cutoff P-value of 0.05 was used. The wag staff normalized concentration index and curve as well as spatial analysis were used. RESULTS: The prevalence of severe malnutrition practice among under five years children in Ethiopia was 14.89% (95%CI: 13.93%, 15.91%), and ranges from 4.58% in Addis Ababa to 25.81% in the Afar region. Women with secondary and above education status as compared to uneducated [AOR = 0.17; 95%CI;[0.06, 0.48], high community women's education as compared to low [AOR = 0.54; 95%CI; 0.36, 0.78], women from richest household as compared to poorest [AOR = 0.63; 95%CI; 0.26, 0.94] and living in Oromia region as compared to Tigray [AOR = 0.33: 95%CI; 0.15, 0.74] were preventive factors. Whereas children 24-59 months of age as compared to under six months [AOR = 1.62; 95%CI; 1.50, 1.75], and being multiple births as compared to single [AOR = 5.34; 95%CI; 1.36,2 1.01] have significant risk factors for severe malnutrition. There was a pro-poor distribution of severe malnutrition among under-five children in Ethiopia with a concentration index of -0.23 [95%CI: -0.27, -0.19]. Severe malnutrition has significant spatial variation over regions in the country where the entire Afar, Eastern Amhara, Southern, and eastern Tigray regions were severely affected (RR = 1.72, P-value < 0.01). CONCLUSION AND RECOMMENDATIONS: The prevalence of severe malnutrition in Ethiopia is relatively high as compared to other studies and most of them were severe chronic malnutrition. Having an educated mother/caregiver, and living in a cluster with high community women's education were preventive factors for severe malnutrition in children. Whereas having an unmarried mother/caregiver, old age of the child, plurality of birth, and having double children in the family have a positive association with it. Moreover, it was disproportionately concentrated in poor households (pro-poor distribution). The spatial distribution of childhood severe malnutrition was not random. Regions like Tigray, Afar, Eastern parts of Amhara, and Somalia regions should be considered priority areas for nutritional interventions for reducing severe malnutrition. Equity-focused nutritional interventions could be needed to curb the wealth-related inequalities of childhood severe malnutrition.

An unacceptably high burden of anaemia and it's predictors among young women (15-24 years) in low and middle income countries; set back to SDG progress.

BACKGROUND: Anaemia is a major global public health problem, considerably affects young women in resource limited countries. The available researches on anaemia focused on children, pregnant women, or all women of reproductive age. However, women's biology and life experiences vary dramatically across 15 to 49 years, putting young women bear the higher burden of anaemia, mainly in low and middle income countries (LMICs). Therefore, this study assessed the burden of anaemia among young women (15-24 years) in 24 LMICs which conducted Demographic and Health Surveys (DHS) between 2016 and 2021. METHOD: Data analysis was carried out with STATA version 14. The forest plot was used to explore the pooled prevalence of anaemia. Multilevel binary logistic regression was fitted to accommodate the hierarchical nature of the DHS data. Accordingly, a model with lowest deviance (model III) was the best-fitted model. All variables with a p-value ≤ 0.2 in the bi-variable analysis were fitted in the multi-level multivariable model. Adjusted odds ratio with 95% CI and p < 0.05 were presented to declare statistical significance. RESULT: The pooled prevalence of anaemia among young (15-24 years) women in 24 LMICs was 41.58% (95%CI: 34.51, 48.65). Country wise, Mali (62.95%) and Rwanda (14.13%) constitute the highest and lowest prevalence of anaemia. In this study, young women who lived in the poorest wealth status, had no education, were underweight, perceived distance to the health facility a big problem, larger family size, and women who had ever terminated pregnancy were associated with increased odds of anaemia. Whereas, young women who were overweight and not breast feeding had decreased odds of anaemia. CONCLUSION: The unacceptably high burden of anaemia among young women setbacks the SDG target; to end all forms of malnutrition by 2030. Therefore, it is highly recommended to take relevant interventions to reduce the burden of anaemia targeted the young women who are uneducated, have low socio-economic status, limited access to health facilities, and lived in larger family size.

Magnitude and associated factors of intimate partner violence among youth women in Ethiopia: multilevel analysis based on 2016 Ethiopian Demographic and Health Survey.

BACKGROUND: The period of youth is important for the foundation of healthy and stable relationships, women's health and well-being. Youth women face a higher risk of experiencing violence than older women. Intimate partner violence (IPV) against youth women is a significant public health concern. Despite paramount negative health consequences of IPV for the survivor, as per our knowledge, research study on IPV and associated factors among youth women in Ethiopia is scarce. Therefore, this study aimed to assess the magnitude and associated factors of IPV among youth women in Ethiopia. METHODS: The data was accessed from 2016 Ethiopia demographic and health survey (EDHS) which was a cross sectional population based household survey. It was also conducted using a multi-stage stratified random cluster sampling approach. The data were cleaned, weighted, and analyzed using STATA Version 14 software. The total weighted sample of 1077 youth women were used in this study. Multilevel logistic regression modeling was used to determine factors associated with IPV among youth women. Adjusted odds ratio (AOR) with 95% confidence interval (CI) and p value < 0.05 were used to declare the significant variables. RESULTS: Among the total participants, 30.27% (95% CI 27.59, 33.09) of youth women experienced IPV. Individual level variables such as: Being widowed/divorced/separated (AOR = 2.28; 95% CI 1.33, 3.91), having a partner who drinks alcohol (AOR = 5.76; 95% CI 3.42, 9.69), witnessing inter-parental violence during childhood (AOR = 3.45; 95% CI 2.21, 5.37), being afraid of partners (AOR = 7.09; 95% CI 4.30, 11.68), and from community level variables, youth women residing in communities with a low proportion of educated youth women (AOR = 0.31; 95% CI 0.13, 0.78) were significantly associated with having experience of IPV. CONCLUSION: The magnitude of intimate partner violence among youth women in Ethiopia was relatively high as compared to the global estimate of IPV. Individual and community level variables such as currently widowed/divorced/separated women, having a partner who drinks alcohol, witnessing inter-parental violence, being afraid of partner, and women from a low proportion of community level youth women's education were significantly associated with intimate partner violence. To decrease this public health problem, it is better to strengthen legislation on the purchase and sale of alcohol, provide legal protection for separated/divorced women, establish effective legal response services for IPV, promote gender equality, and provide psychological support for those who witnessed inter-parental violence during childhood to reduce IPV.

Community and individual level determinants and spatial distribution of deworming among preschool age children in Ethiopia: spatial and multi-level analysis.

BACKGROUND: Soil-transmitted helminths caused millions of morbidity of preschool age children in sub-Saharan Africa with low socio-economic status and lack of clean water and sanitation. In Ethiopia, nearly half of children are affected by intestinal parasites. Despite this prevalence, deworming medication utilization among preschool age children is low. Hence, this study aimed to assess the community and individual level determinants and spatial distributions of deworming among preschool age children in Ethiopia. METHODS: Crossectional collected 2016 Ethiopian Demographic and Health Survey datasets with a total weighted 8146 children 12-59 months old were used for this study. The data were cleaned, extracted, and analyzed using STAT Version 16 software and exported to MS excel for spatial analysis. In addition, ArcGIS and SaTScan software were used to detect the geographic distribution of deworming utilization among preschool age children. RESULTS: The magnitude of deworming among preschool age children in Ethiopia was 13.32% (95% CI: 12.60, 14.08) and ranges from the lowest 3.34% (95% CI: 1.01, 10.45) Afar region to the highest 28.66% (95% CI:24.95, 32.69) Tigray region. In multilevel multivariable logistics regression analysis; variables such as secondary and above women education [AOR = 1.89; 95%CI; 1.32, 2.73], women who have occupation [AOR = 1.47; 95%CI; 1.23, 1.76], child with 12-23 months old [AOR = 2.00; 95%CI; 1.62, 2.46], having ANC visit [AOR = 1.68; 95%CI; 1.35, 2.08], households that have media exposure [AOR = 1.50; 95%CI; 1.22, 1.85] were significantly associated with deworming among preschool age children. Afar, Eastern Amhara, Dire Dewa, Harari, Somalia, and Eastern SNNPE regions were cold spot regions with Global Moran's I value 0.268 (p < 0.0001) for deworming of preschool age children. CONCLUSIONS: The prevalence of deworming among preschool age children in Ethiopia is relatively low. Individual-level factors such as; maternal education and occupation, having ANC visit, child age, household media exposure, and community-level variables such as; community media usage had a significant association with deworming among preschool age children in Ethiopia. These findings highlight that, the Ministry of Health (MOH) Ethiopia should prepare a regular campaign for deworming programs for preschool age children. Mass media promotion of deworming should be strengthened. The Ministry of Education should work to strengthen women's education, household and community media exposure. Prior attention should be given to low deworming regions such as Afar, Somalia, Diredewa, and Harari regions.

Limited handwashing facility and associated factors in sub-Saharan Africa: pooled prevalence and multilevel analysis of 29 sub-Saharan Africa countries from demographic health survey data.

INTRODUCTION: Handwashing is fundamentally an inexpensive means of reducing the spread of communicable diseases. In developing countries, many people die due to infectious diseases that could be prevented by proper hand hygiene. The recent coronavirus (COVID-19) pandemic is a threat to people who are living in resource-limited countries including sub-Saharan Africa (SSA). Effective hand hygiene requires sufficient water from reliable sources, preferably accessible on premises, and access to handwashing facility (water and or soap) that enable hygiene behaviors. Therefore, this study aims to determine the prevalence of limited handwashing facility and its associated factors in sub-Saharan Africa. METHODS: Data from the Demographic and Health Surveys (DHS) were used, which have been conducted in 29 sub-Saharan African countries since January 1, 2010. A two-stage stratified random cluster sampling strategy was used to collect the data. This study comprised a total of 237,983 weighted samples. The mixed effect logistic regression model with a cluster-level random intercept was fitted. Meta-analysis and sub-group analysis were performed to establish the pooled prevalence. RESULTS: The pooled prevalence of limited handwashing facility was found to be 66.16% (95% CI; 59.67%-72.65%). Based on the final model, household head with age group between 35 and 60 [AOR = 0.89, 95% CI; 0.86-0.91], households with mobile type of hand washing facility [AOR = 1.73, 95% CI; 1.70-1.77], unimproved sanitation facility [AOR = 1.58, 95% CI; 1.55-1.62], water access more than 30 min round trip [AOR = 1.16, 95% CI; 1.13-1.19], urban residential area [AOR = 2.08, 95% CI; 2.04-2.13], low media exposure [AOR = 1.47, 95% CI; 1.31-1.66], low educational level [AOR = 1.30, 95% CI; 1.14-1.48], low income level [AOR = 2.41, 95% CI; 2.33-2.49] as well as lower middle-income level [AOR = 2.10, 95% CI; 2.14-2.17] and households who had more than three children [AOR = 1.25, 95% CI; 1.20-1.31] were associated with having limited handwashing facility. CONCLUSION AND RECOMMENDATION: The pooled coverage of limited handwashing facility was high in sub-Saharan Africa. Raising awareness of the community and promoting access to handwashing materials particularly in poorer and rural areas will reduce its coverage.

Individual and community level determinants of iron intake among children 6-59 months old in Ethiopia: multilevel logistic regression analysis.

BACKGROUND: Iron deficiency is one of the most important factors of anemia which is caused by poor iron intake. In addition, children need more iron because of their rapid growth. On the other side, daily intake of iron is also recommended as a standard approach for the treatment and prevention of iron deficiency anemia. In Ethiopia, although more than half of children 6-59 months of age were affected by anemia, the magnitude and factors associated with iron intake among them are understudied. Therefore this study aimed to assess the magnitude and community and individual level determinants of iron intake among 6-59 months children in Ethiopia. METHODS: Demographic and Health Survey datasets (EDHS) were used for this study. The data were weighted using sampling weight to get valid statistical estimates. The total weighted samples of 9,218 children aged 6-59 months were included. A multilevel binary logistic regression model was fitted to identify factors associated with iron intake among 6-59 months of children in Ethiopia. In the final model adjusted odds ratio with a 95% confidence interval and p-value < 0.05 was taken to declare statistical significance. RESULTS: The magnitude of iron intake among children 6-59 months in Ethiopia was 9.24% (95% CI: 8.31%, 10.15%). Individual level variables such as having at least one antenatal care visit (ANC) [AOR = 1.27; 95%CI; 1.01, 1.61], having health institution delivery [AOR = 1.46; 95%CI;1.04, 2.04], age of children ≥ 24 months [AOR = 1.82; 95%CI; 1.29, 2.57], being female child [AOR = 0.81; 95%CI; 0.67, 0.99], being greater than three birth order [AOR = 0.73, 95%CI: 0.55, 0.98], whereas community level variables such as living in large central regions [AOR = 3.68; 95%CI; 1.47, 9.21], and living in community with high women education [AOR = 1.96; 95%CI; 1.28, 2.98] have an association with iron supplements among children 6-59 months years old in Ethiopia. CONCLUSION AND RECOMMENDATIONS: The magnitude of iron intake among children 6-59 months old in Ethiopia is relatively low. Individual level factors such as; ANC visit, institution delivery, age of children, sex of the child, and birth order as well as; community level variables such as regions, and community women's education have a significant association with iron intake among children 6-59 months in Ethiopia. Prior attention should be given for under two years old children, children greater than three birth orders, and children living in small peripheral regions. Moreover, policymakers and other stakeholders had better plan and implement programs that empower women, enhance ANC visits, and health institution delivery to have a sustainable increment in iron intake for children in Ethiopia.

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.

Time to initiation of antenatal care visit and its predictors among reproductive age women in Ethiopia: Gompertz inverse Gaussian shared frailty model.

Background: Early initiation of antenatal care (ANC) is essential for the early detection of pregnancy-related problems and unfavorable pregnancy outcomes. However, a significant number of mothers do not initiate ANC at the recommended time. Therefore, this study aimed to determine the median time of ANC initiation and its predictors among reproductive-age women in Ethiopia. Methods: We used the Ethiopian Demographic and Health Survey (EDHS) 2016 data set. The proportional hazard assumption was assessed using Schoenfeld residual test and log-log plot. A life table was used to determine the median survival time (time of ANC initiation). The Gompertz inverse Gaussian shared frailty model was the best-fitting model for identifying the predictors for the early initiation of ANC booking. Finally, the adjusted hazard ratio (AHR) with a 95% confidence interval (CI) was used to determine the significance of predictors. Results: A total of 7,501 reproductive-aged women gave recent birth in the last 5 years preceding the survey. Nearly three in five women [61.95% (95% CI: 60.85-63.04%)] booked their first ANC visit with a median time of 4.4 months. Women who attended primary education (AHR = 1.10, 95% CI: 1.01-1.20), secondary and above (AHR = 1.26, 95% CI: 1.11-1.44), media exposure (AHR = 1.07, 95% CI: 1.00-1.16), rich wealthy (AHR = 1.17, 95% CI: 1.06-1.30), grand multiparous (AHR = 0.82, 95% CI: 0.72-0.93), unwanted pregnancy (AHR = 0.88, 95% CI: 0.81-0.96), small periphery region (AHR = 0.58, 95% CI: 0.51-0.67), and rural residence (AHR = 0.86, 95% CI: 0.75-0.99) were significantly associated with first ANC visit. Conclusion: According to this study, a significant number of women missed their first ANC visit. The education status of women, place of residence, region, wealth index, media exposure, unintended pregnancy, and multi-parity were significantly associated with the time of initiation of the first ANC visit. Therefore, policymakers should focus on improving the socioeconomic status (education, media coverage, and wealth) of reproductive-aged women by prioritizing women who live in small periphery regions and rural residences to improve the early initiation of ANC.

Spatial distribution of delayed initiation of antenatal care visits and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini-demographic and health survey.

OBJECTIVES: This study aimed to assess the spatial distribution, wealth-related inequality and determinants for delayed initiation of antenatal care (ANC) visits among reproductive-age women in Ethiopia. DESIGN: Cross-sectional study design. SETTING: Ethiopia. PARTICIPANTS: A total of 2924 reproductive-age women who had given birth in the 5 years preceding the survey. OUTCOME MEASURE: Delayed initiation of ANC visits. RESULTS: The magnitude of delayed initiation of ANC visits among reproductive-age women in Ethiopia was 62.63% (95% CI 60.86%, 64.37%). Women aged 35-49 (AOR=1.42; 95% CI 1.04, 1.94), being protestant religion followers (AOR=1.43; 95% CI 1.06, 1.94), being in higher wealth index (AOR=0.53; 95% CI 0.41, 0.69), living in rural residence (AOR=1.50; 95% CI 1.02, 2.19) and living in the metropolitan region (AOR=0.45; 95% CI 0.26, 0.77) were significantly associated with delayed initiation of ANC visit. Southern Nations Nationalities and Peoples Region (SNNPR), Somalia, Benishangul Gumuz, Southern Addis Ababa and Gambella regions were hot spot regions for delayed initiation of ANC visits. The SaTScan analysis result identified 107 primary clusters of delayed initiation of ANC visits located in regions of SNNPR, Gambella, Southern Addis Ababa, Eastern Oromia and Benishangul Gumuz. CONCLUSIONS: Significant spatial clustering of delayed initiation of ANC visits was observed in Ethiopia. More than half of women had delayed initiation of ANC visits in Ethiopia. Women's age, religion, wealth index, residence and region were significant predictors of delayed initiation of ANC visits. There is a disproportional pro-poor distribution of delayed initiation of ANC visits in Ethiopia. Therefore, interventions should be designed in the hot spot areas where delayed initiation of ANC visits was high to enhance the timely initiation of ANC visits.

Level of episiotomy practice and its disparity among primiparous and multiparous women in Ethiopia: a systematic review and meta-analysis.

Background: Episiotomy at the time of vaginal birth is a common lifesaving surgical procedure. In Ethiopia, several studies have been conducted concerning the proportion of episiotomy. However, its prevalence varies across these series of studies. Thus, this systematic review and meta-analysis aimed to estimate the level of episiotomy practice and its disparity among primiparous and multiparous women in Ethiopia. Methods: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline. We systematically searched the PubMed/MEDLINE, EMBASE, Google Scholar, and Science Direct databases for studies conducted in Ethiopia focusing on episiotomy. We included all cross-sectional studies published until October 5,2022. Data were analyzed using R version 4.2.1 software. The pooled estimates with 95% confidence intervals (CIs) were presented using forest plots. A random-effects meta-analysis was conducted on extracted crude rates to calculate the national and regional pooled estimates for the country. The I-squared test and Egger's regression test were used to assess heterogeneity and publication bias, respectively. Results: Our search yielded 390 articles. A total of 13 studies covering five administrative regions and 6,404 women who delivered vaginally were involved. The mean age of the study participants ranged from 22 to 27.7 years. The estimated overall pooled prevalence rate of episiotomy in Ethiopian women was 42.75% (95% CI: 34.97%-50.54%). In the subgroup analysis, the pooled prevalence rate of episiotomy was 61.45% (95% CI: 51.11%-71.80%) among primiparous women. Meanwhile, the pooled estimate appears to be approximately 30.47% (95% CI: 22.08%-38.85%) among multiparous women. Conclusion: Our findings concluded that the pooled prevalence rate of episiotomy was higher than the evidence-based WHO recommendations for optimal patient care. Parallel to this, nulliparous women had a higher episiotomy rate than multiparous women. These findings highlight the importance of continued training for labor ward staff, particularly healthcare providers who often perform the majority of deliveries.

Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia: Spatial and multilevel analysis.

Introduction: Human immunodeficiency virus (HIV) testing and counseling services are routine prenatal care services for the prevention of mother-to-child transmission of HIV. Although the prevalence of HIV infection is high among women, evidence suggests that the uptake of HIV testing during prenatal services in Ethiopia is scarce. Therefore, the aim of this study was to investigate individual- and community-level determinants and the spatial distribution of prenatal HIV test uptake in Ethiopia based on the 2016 Ethiopian Demographic and Health Survey. Methods: Data were accessed from the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 4,152 women aged 15-49 years who gave birth in the 2 years preceding the survey were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify cold-spot areas and ArcGIS V.10.7 to explore the spatial distribution of prenatal HIV test uptake. Stata version 14 software was used to extract, clean, and analyze the data. A multilevel logistic regression model was used to identify the individual- and community-level determinants of prenatal HIV test uptake. An adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was used to declare significant determinants of prenatal HIV test uptake. Results: The prevalence of HIV test uptake was 34.66% (95% CI: 33.23, 36.13%). The spatial analysis revealed that the distribution of prenatal HIV test uptake was significantly varied across the country. In the multilevel analysis, the following individual and community-level determinants were significantly associated with prenatal HIV test uptake: women who attained primary education (AOR = 1.47, 95% CI: 1.15, 1.87) and secondary and higher education (AOR = 2.03, 95% CI: 1.32, 3.11); women from middle (AOR = 1.46; 95% CI: 1.11, 1.91) and rich household wealth status (AOR = 1.81; 95% CI: 1.36, 2.41); those who had health facility visits in the last 12 months (AOR = 2.17; 95% CI: 1.77, 2.66); women who had higher (AOR = 2,07; 95% CI: 1.66, 2.59) and comprehensive HIV-related knowledge (AOR = 2.90; 95% CI: 2.09, 4.04); women who had moderate (AOR = 1.61; 95% CI: 1.27, 2.04), lower (AOR = 1.52; 95% CI: 1.15, 1.99), and no stigma attitudes (AOR = 2.67; 95% CI: 1.43, 4.99); those who had awareness of MTCT (AOR = 1.83; 95% CI: 1.50, 2.24); those from rural areas (AOR = 0.31; 95% CI: 0.16, 0.61); high community level of education for women (AOR =1.61; 95% CI: 1.04, 2.52); and those living in large central (AOR = 0.37; 95% CI: 0.15, 0.91) and small peripheral areas (AOR = 0.22; 95% CI: 0.08, 0.60). Conclusion: In Ethiopia, prenatal HIV test uptake had significant spatial variations across the country. Both individual- and community-level determinants were found to be associated with prenatal HIV test uptake in Ethiopia. Hence, the impact of these determinants should be recognized while developing strategies in "cold spot" areas of prenatal HIV test uptake to enhance prenatal HIV test uptake in Ethiopia.

Socio-demographic and antenatal care-related factors associated with early post-partum family planning use in Ethiopia: evidence from Ethiopian Demographic and Health Survey 2016 data.

Introduction: Initiation of family planning in the early post-partum period is a strategic move to reduce maternal, neonatal, and child mortality due to the negative consequences of short interbirth interval and the complications of unintended pregnancy. Antenatal care (ANC) is the noteworthy predictor of scaling up early initiation of post-partum family planning (PPFP) and preventing unintended pregnancy before menses resume. Despite the great role of ANC, information is scant about the effect of content, timing, and the number of ANC visits on the early initiation of PPFP in Ethiopia. Objective: This study aimed to assess the association of ANC services with the early initiation of PPFP in Ethiopia. Methods: The study was based on Ethiopian Demographic and Health Survey 2016 data, which was a cross-sectional survey from 18 January 2016 to 27 June 2016. A total weighted sample size of 2,920 post-partum women was included. A multilevel logistic regression model was used because of the hierarchical data, and variables with a p-value of ≤0.2 in the bivariable multilevel analysis were taken to multivariable multilevel analysis. An adjusted odds ratio with a 95% confidence interval (CI) was used to declare both the direction and strength of the association, and variables with a p-value of <0.05 were considered as statistically significant for the outcome variable. Results: The early initiation of PPFP was 20.4%. Women with at least four ANC visits [adjusted odds ratio (AOR) = 1.31; CI 1.12-2.32], women who started ANC within the first trimester (AOR = 1.25; CI 1.10-2.23), complete routine ANC (AOR = 1.11; CI 1.01-2.03), post-natal care (AOR = 1.45; CI 1.19-1.87), resumption of menses (AOR = 1.67; CI 1.18-1.93), urban residency (AOR = 2.14; CI 1.18-2.51), and high community women's education (AOR = 1.71; CI 1.51-2.11) were variables significantly associated with the early initiation of PPFP. Conclusion: The early initiation of PPFP in Ethiopia was very low. Attention needs to be given to the quality of ANC, post-natal care, resumption of menses, residency, and community-level education of women to increase the prevalence of the early initiation of PPFP in Ethiopia. Therefore, the government should design a program targeting the quality of ANC in rural communities, considering women without menses and scaling up the education of women at the community level to the culture of the early initiation of PPFP in order to achieve reduced maternal, neonatal, and child mortality.

Spatial distribution and associated factors of poor tetanus toxoid immunization among pregnant women in Ethiopia: spatial and multilevel analysis.

Background: Neonatal mortality from tetanus can be reduced by 94% when pregnant women receive at least two doses of tetanus toxoid. In Ethiopia, immunization programs are suboptimal despite their importance. Therefore, the aim of this study was to examine the geographic distribution and associated factors of poor tetanus toxoid (TT) immunization among pregnant women in Ethiopia. Methods: Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). ArcGIS version 10.8 statistical software was used to explore the spatial distribution of poor TT immunization and SaTScan version 9.6 software was used to identify significant hotspot areas of poor TT immunization. For associated factors, a multilevel binary logistic regression model was fitted using STATA version 14 software. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of poor TT immunization. Result: In Ethiopia, the spatial distribution of poor tetanus toxoid immunization was clustered with Global Moran's I = 0.59 at p-value of <0.0001. The highest poor TT immunization clusters were observed in the East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Pregnant women with no Antenatal care (ANC) visits [Adjusted Odds Ratio (aOR) = 10.46, 95% CI: (8.82, 12.41))], pregnant women with 1-3 ANC visits [aOR = 1.51, 95% CI: (1.31, 1.73)], media exposure [aOR = 1.45, 95% CI: (1.26, 1.67)], poor wealth index [aOR = 1.22; 95% CI: (1.03, 1.45)], middle wealth index [aOR = 1.23; 95% CI: (1.03, 1.47)], family planning use [aOR = 1.28; 95% CI: (1.11, 1.57)] and community level education [aOR = 1.43, 95% CI: (1.14, 1.80)] were significantly associated with poor tetanus toxoid immunization. Conclusion: Poor tetanus toxoid immunization among pregnant women varies in Ethiopia. It was highest in East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Therefore, public health programs should design targeted interventions in identified hot spots to improve tetanus toxoid immunization. Health programmers should be promoting optimal ANC visits, women's education, and family planning use.

Spatial distribution, magnitude, and predictors of high fertility status among reproductive age women in Ethiopia: Further analysis of 2016 Ethiopia Demographic and Health Survey.

BACKGROUND: Women's health and welfare, as well as the survival of their children, are adversely affected by high fertility rates in developing countries. The fertility rate in Ethiopia has been high for a long time, with some pockets still showing poor improvement. Thus, the current study is aimed to assess the spatial distribution and its predictors of high fertility status in Ethiopia. METHODS: Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of high fertility status. ArcGIS version 10.8 was used to visualize the distribution of high fertility status across the country. Mixed-effect logistic regression analysis was also used to identify the predictors of high fertility. RESULT: High fertility among reproductive-age women had spatial variation across the country. In this study, a higher proportion of fertility occurred in Somali region, Southeastern part of Oromia region, and Northeastern part of SNNPR. About 45.33% (confidence interval: (44.32, 46.33) of reproductive-age women had high fertility. Education; no formal (aOR: 13.12, 95% CI: 9.27, 18.58) and primary (aOR: 5.51, 95% CI: 3.88, 7.79), religion; Muslim (aOR: 1.52, 95% CI: 1.28, 1.81) and Protestant (aOR: 1.48, 95% CI: 1.23, 1.78), age at first birth (aOR: 2.94, 95% CI: 2.61, 3.31), age at first sex (aOR: 1.70, 95% CI: 1.49, 1.93), rural resident (aOR: 3.76, 95% CI: 2.85, 4.94) were predictors of high fertility in Ethiopia. CONCLUSION: The spatial pattern of high fertility status in Ethiopia is clustered. Hotspot areas of a problem were located in Somali, Central Afar, Northeastern part of SNNPR, and Southeastern part of Oromia region. Therefore, designing a hotspot area-based interventional plan could help to reduce high fertility. Moreover, much is needed to be done among rural residents, reducing early sexual initiations and early age at first birth, and enhancing women's education. All the concerned bodies including the kebele administration, religious leaders, and community leaders should be in a position to ensure the practicability of the legal age of marriage.

Spatial distribution and determinants of newborn care within 2 days of postpartum period among women with at least one antenatal care visit in Ethiopia: Mixed effect multilevel analysis.

INTRODUCTION: Neonatal mortality is pervasive in developing countries like Ethiopia. Though the risk of neonatal mortality is preventable through consolidating simple, low-cost, and less time-consuming essential care, there is a scarcity of evidence about the spatial distribution of newborn care in Ethiopia. OBJECTIVE: The current study aimed to demonstrate spatial distribution and determinants of newborn care within 2 days of the postpartum period in Ethiopia. METHODS: A cross-sectional study was employed based on Ethiopian demographic and health survey 2016 data and 2796 post-partum period women were included. Arc GIS version 10.7 and SaTScan version 9.6 software were used. Mixed effect analysis was done by STATA version 14 software. Bivariate analysis was done and variables with a p value<0.2 were taken as a candidate for multilevel multivariable logistic regression. Intra Class Correlation Coefficient (ICC), Proportion Change in Variance (PCV), and Median Odds Ratio (MOR) were used for model comparison and an Adjusted Odds Ratio (AOR) with respect to a 95% confidence interval was used for declaring statistical significance. In the multivariable analysis, a p-value≤0.05 was considered as a cut point of statistical significance with the outcome variable. RESULTS: The spatial distribution of newborn care was not random and the overall prevalence was 48.39%. Secondary educational level (Adjusted Odds Ratio (AOR = 1.5;95% CI 1.06,2.62), college and above (AOR = 2.47; 95% CI 1.22,5.01), number of antenatal cares three (AOR = 1.5; 95% CI 1.10, 2.04), antenatal care four and above (AOR = 1.6; 95% CI 1.22; 2.19), place of delivery (AOR = 9.67; 7.44, 12.57) and child is a twin (AOR = 3.33; 95% CI 1.23, 9.00) were variables significantly associated with newborn care. CONCLUSIONS: Newborn care practice in Ethiopia is below half per hundred participants. Even the distribution was not random. There is a need to pay attention to those cold spot areas and factors significantly associated with newborn care. Improving women's educational levels secondary and above, and consolidating the continuation of antenatal care and health facility delivery were the priority areas to improve newborn care in Ethiopia. Maternal and neonatal health program managers and policymakers should pay attention to those cold spots of newborn care to achieve the sustainable development goal.

Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia.

BACKGROUND: In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data. METHODS: Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia. RESULTS: The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia. CONCLUSIONS: A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors.