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Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data.

ABSTRACT: Background: Even though there is low coverage of maternal health services such as antenatal care and skilled birth attendant delivery as well as poor sanitary practice during delivery in Ethiopia, the proportion of births protected by the tetanus vaccine is low. Thus, this study aimed to investigate the determinants of births protected against neonatal tetanus in Ethiopia.

Objective: To assess the determinants of births protected against neonatal tetanus in Ethiopia.

Method: The study was based on secondary data analysis of the Ethiopian Demographic and Health Survey 2016 data. A weighted sample of 7590 women who gave birth within five years preceding the survey was used for analysis. We conducted a multilevel analysis, due to the hierarchical nature of the data. Variables with p-value <0.05 in the multivariable analysis were declared to be significantly associated with having births protected against neonatal tetanus.

Result: In this study, mothers with primary education [adjusted odds ratio (AOR) = 1.23; 95%CI: 1.04, 1.44] and secondary and above education [AOR = 1.36; 95%CI: 1.06, 1.73], media exposure [AOR = 1.35; 95%CI: 1.15, 1.58], not perceiving distance from the health facility as a big problem [AOR = 1.24; 95%CI: 1.08,1.42], one antenatal care (ANC) visit [AOR = 1.56; 95%CI: 2.71, 4.68], two to three ANC visit [AOR = 11.82; 95%CI: 9.94,14.06], and four and more ANC visit [AOR = 15.25; 95%CI: 12.74, 18.26], being in Amhara [AOR = 0.59; 95%CI: 0.38,0.92], Afar [AO = 0.41; 95%CI: 0.25,0.66], and Harari [AOR = 1.88; 95%CI: 1.15,3.07] regions, being in communities with higher level of women education [AOR = 1.25; 95%CI: 1.03,1.52], and higher level of media exposure [AOR = 1.22; 95%CI: 1.01,1.48] were significant predictors of having a protected birth against neonatal tetanus.

Conclusion: In this study, both individual level and community level factors were associated with having protected birth against neonatal tetanus. Therefore, strengthening maternal health services such as ANC visits and interventions related to increasing media campaigns regarding tetanus could increase the immunization against tetanus among reproductive-age women. In addition, it is also better to give attention to those reproductive age group women from remote areas and also better to distribute maternal services fairly and equally between regions.

SUBMITTER: Teshale AB

PROVIDER: S-EPMC7707584 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data.

Teshale Achamyeleh Birhanu AB Tesema Getayeneh Antehunegn GA

PloS one 20201201 12

<h4>Background</h4>Even though there is low coverage of maternal health services such as antenatal care and skilled birth attendant delivery as well as poor sanitary practice during delivery in Ethiopia, the proportion of births protected by the tetanus vaccine is low. Thus, this study aimed to investigate the determinants of births protected against neonatal tetanus in Ethiopia.<h4>Objective</h4>To assess the determinants of births protected against neonatal tetanus in Ethiopia.<h4>Method</h4>T ...[more]

PMID: 33259554

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Project description:BackgroundAge-appropriate vaccination or vaccine timeliness is the administering of vaccines on the specified schedule of immunization. One of the qualities of the immunization program is an age-appropriate vaccine, it has become an ignored indicator of program performance. Even though age-appropriate vaccination is critical for child health, there are no national-level studies to generate conclusive and tangible evidence about the determination of timely vaccination in Ethiopia.ObjectiveTo assess the spatial pattern and associated factors of timely vaccination in Ethiopia using EDHS-2016 data: A multilevel and spatial analysis.MethodCommunity based cross-sectional study design was employed from 18 January to 27 June 2016. To select the participants, two-stage cluster sampling was employedin the Ethiopian Demographic Health Survey 2016 data. Permission was obtained via online request by explaining the aim of this particular study from DHS international. A statistical package for social science-21 software was used for data cleaning, recoding, and analysis. Arc GIS 10.3 software was used to show the spatial variation of age-appropriate vaccination practices. A generalized linear mixed-effect model was used. For all models, intra-class correlation, a proportional change in variance, the log-likelihood test, and the Akaike information criterion were calculated. The best model was selected by the lowest value Akaike information criterion. Variables with a p-value less than 0.05 and a 95% confidence level were considered for the statistically significant association.ResultThe spatial distribution of age-appropriate vaccination practice in Ethiopia was non-randomly distributed with the global Moran's I value of 0.22 (p-value <0.001). The prevalence of age-appropriate vaccination practice in Ethiopia was 33.8%. Women who receive ≥ 2 TT vaccines (AOR = 1.48; 1.22, 1.79), women who lived in rural residences (AOR = 0.77; 0.62, 0.96), gave birth at a health facility (AOR = 1.2; 1.12, 1.37), ANC follow up (AOR = 174; 1.45, 2.1), richest (AOR = 1.65; 1.15, 2.37), richer (AOR = 1.72; 1.3, 2.22), middle-level income (AOR = 1.65; 1.16, 2.36), poorer (AOR = 1.47; 1.11, 1.96) were the factors of age-appropriate vaccination practice.ConclusionThe spatial distribution of age-appropriate vaccination practice in Ethiopia was non-randomly distributed across the regions. Age-appropriate vaccination practice was low in Ethiopia. Wealth index, usual caretaker of the child, ANC utilization, history of TT vaccination, place of delivery, and residence were associated with age-appropriate vaccination practice.

Project description:IntroductionLack of sanitation is a major global problem mainly for the poor and disadvantaged. According to the 2016 Ethiopian Demographic and Health Surveys (EDHS) report, one out of every three households lack a toilet in Ethiopia and about 56% of rural households use unimproved toilet facilities. We aimed to determine the magnitude of improved household latrine utilization and its determinants in Ethiopia using the mini-Ethiopian Demographic Health Survey (EDHS) 2019 data set.MethodA secondary data analysis was conducted based on the mini 2019 EDHS data set. A total weighted sample of 8663 households were involved in analysis. After selecting the relevant variables for the outcome variable, we have fitted four different models. The null (empty) model with no independent variables and the second model contained the effects of the individual-level factors on the outcome variable. The third model included the influence of the community-level factors on the response variable, and the final multilevel multivariable logistic regression model examined the effects of individual-level and community-level variables on the outcome variable. The measure of variation was quantified using Intra-Class Correlation (ICC), Median Odds Ratio, and Proportional Change in Variance (PCV). The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was used to show the strength of association and statistical significance was declared at p value < 0.05.ResultsThe magnitude of improved latrine utilization in Ethiopia was 19.5% with 95% CI (18.6%, 20.3%). The factors: educational status (AOR = 1.67; 95% CI: (1.10, 2.55), highest wealth index (AOR = 3.73; 95% CI: (2.73, 5.12), urban residence (AOR = 3.09; 95% CI: (1.68, 5.67), living in Addis Ababa (AOR = 4.08; 95% CI: (1.03, 16.2) and Dire Dawa (AOR = 8.22; 95% CI: (2.46, 27.42) and Somali regions (AOR = 3.11; 95% CI: (1.15, 8.42) were significantly associated to improved latrine utilization in Ethiopia.ConclusionThe magnitude of improved latrine utilization was quite low in Ethiopia. Higher wealth index, living in more urbanized areas, and the household head's educational status were all significant predictors of improved latrine utilization. The finding implies a need to increase household's access to latrine facilities and improve latrine utilization, particularly for rural households in the country.

Project description:BACKGROUND:Early or timely initiation of antenatal care and regular visits based on the schedule have a tremendous effect on both maternal and fetal health. Despite the paramount benefits of early initiation of ANC within the first 12 weeks of pregnancy, women still do not have adequate and equal access to high-quality early antenatal care. OBJECTIVE:To determine the prevalence and factors associated with delayed first ANC booking in Ethiopia. METHOD:A secondary data analysis was conducted using the 2016 Ethiopian demographic and health survey data. All reproductive age women who gave birth in the five years preceding the survey and who had ANC visit for their last child were included in this study. The total weighted sample size analyzed was 4,741. Due to the hierarchical nature of the EDHS data, Multi-level logistic regression model was used to identify the individual and community level factors associated with delayed first ANC booking. RESULT:In this study, the prevalence of delayed first ANC booking was 67.31% [95% CI: 65.96% to 68.63%]. Women with secondary and higher education [Adjusted Odd Ratio (AOR) = 0.78; 95%CI: 0.61, 0.99] and [AOR = 0.61; 95%CI: 0.44, 0.83] respectively had lower odds of delayed first ANC booking. But woman who were multiparous and grand multiparous [AOR = 1.21; 95%CI: 1.01, 1.45] and [AOR = 1.50; 95%CI: 1.16, 1.93] respectively, women with the last pregnancy wanted no more [AOR = 1.52; 95%CI: 1.10, 2.09], a woman who was living in the rural area [AOR = 1.66; 95%CI: 1.25, 2.21], and a woman who was living in large central regions and small peripheral regions [AOR = 2.76; 95%CI: 2.20, 3.47] and [AOR = 2.70; 95%CI: 2.12, 3.45] respectively had higher odds of delayed first ANC booking. CONCLUSION:Despite the documented benefits of early antenatal care initiation, late ANC booking is still predominant in Ethiopia as highlighted by this study. Maternal education, parity, wanted the last child, residence and region were significantly associated with delayed first ANC booking. Therefore, taking special attention for these high-risk groups could decrease delayed first ANC booking and this intern decreases maternal and fetal health problems by identifying and intervene early.

Project description:ObjectiveThis study aimed to investigate the spatial distributions and determinants of anaemia among adolescent girls in Ethiopia. Exploring the spatial epidemiology of anaemia and identifying the risk factors would inform policymakers to come up with evidence-based prevention strategies for anaemia, especially in adolescent girls, who are the most affected segment of the population.MethodsSecondary analysis of the Ethiopian Demographic and Health Survey 2016 was conducted. A total of 3172 adolescents were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and the geospatial pattern and prediction of anaemia were mapped using ArcGIS V.10.8. A multilevel logistic regression model was fitted to identify factors associated with anaemia among adolescent girls. Adjusted OR with 95% CI was calculated and variables having a p value less than 0.05 were statistically significant factors of anaemia.ResultThe overall prevalence of anaemia among adolescent girls in Ethiopia was 23.8 (22.4 to 25.3), with significant spatial variations across the country. The SaTScan analysis identified a primary cluster in the eastern, northeastern and southeastern parts of Ethiopia (loglikelihood ratio=39, p<0.001). High anaemia prevalence was observed in eastern parts of the country. In the multivariable multilevel logistic regression analysis, no formal education (adjusted OR (AOR)=1.49, 95% CI 1.05 to 2.12), Afar (AOR=3.36, 95% CI 1.87 to 6.05), Somali (AOR=4.63, 95% CI 2.61 to 8.23), Harari (AOR=1.90, 95% CI 1.32 to 4.10), Dire Dawa (AOR=2.32, 95% CI 1.32 to 4.10) and high cluster altitude (AOR=1.37, 95% CI 1.03 to 1.82) were significantly associated with anaemia.ConclusionThe national distributions of anaemia varied substantially across Ethiopia. Educational status, region and cluster altitude were significantly associated with anaemia in the multivariable logistic regression model. Thus, targeted public health interventions for adolescent girls should be implemented in the hotspot areas.

Project description:BackgroundAcute respiratory infection is an infectious illness caused by acute viral or bacterial infection. According to a 2018 WHO report, exposures to indoor and ambient air environmental pollution were contributing factors to a higher risk of respiratory problems following 7 million deaths of children under five globally. Housing conditions such as wall material, roof type, kitchen location, sanitation condition, and cooking fuel type are household-level predictors of acute respiratory disease among children under five years of age.MethodThis research used EDHS-2016 secondary data, which are nationally representative. The data collection period was from January 18, 2016, to June 27, 2016. Among the 16,650 total surveys, 10,006 households that had children below 5 years of age. The outcome variable for this study was acute respiratory infection symptoms. Analyses were performed using STATA Version 17.1. The data were weighted before performing analysis to reinstate the representativeness of the sample. In the bivariable analysis, a p value <0.2 was used to screen for multivariable. Multicollinearity was checked using the variance inflation factor. Then, a multilevel multivariable regression model was used in this study for the analysis of acute respiratory infection symptoms and possible predictor variables. Variables with a p value <0.05 in multivariable regression analysis were considered statistically significant predictors.ResultsMost (95.00%) households commonly used solid fuel for cooking, and household main construction materials: 81.44 and 91.03% of floors and walls of households were constructed with unprocessed natural materials, respectively. The prevalence of acute respiratory infection symptoms among children under five years of age was 7.955% (7.397, 8.551%). The findings indicated that acute respiratory infection symptoms among children under five years of age were significantly linked with the age of the children, diarrhea status, residence, region, fuel type, stool disposal, wall material, and floor material.ConclusionInterventions should target modifiable factors such as proper stool disposal of the youngest child, informing the health effects of poor housing conditions such as improving wall and floor construction material to reduce acute respiratory infection symptoms among children under five years of age.

Project description:ObjectivesAnaemia is a global public health problem with major health and socioeconomic consequences. Though childhood anaemia is a major public health problem in Ethiopia, there is limited evidence on the spatio-temporal variability of childhood anaemia over time in the country. Therefore, this study aimed to assess the spatio-temporal distribution and associated factors of childhood anaemia using the Ethiopian Demographic and Health Survey (EDHS) data from 2005 to 2016.DesignSurvey-based cross-sectional study design was employed for the EDHS.SettingData were collected in all nine regions and two city administrations of Ethiopia in 2005, 2011 and 2016.ParticipantsThe source population for this study was all children in Ethiopia aged 6-59 months. A total of 21 302 children aged 6-59 months were included in this study.Outcome measureThe outcome variable was child anaemia status.ResultsThe prevalence of anaemia declined from 53.9% in 2005 to 44.6% in 2011, but it showed an increase in 2016 to 57.6%. The spatial analysis revealed that the spatial distribution of anaemia varied across the regions. The spatial scan statistics analysis indicated a total of 22 clusters (relative risk (RR)=1.5, p<0.01) in 2005, 180 clusters (RR=1.4, p<0.01) in 2011 and 219 clusters (RR=1.4, p<0. 0.01) in 2016, significant primary clusters were identified. The child's age, mother's age, maternal anaemia status, wealth index, birth order, fever, stunting, wasting status and region were significant predictors of childhood anaemia.ConclusionsIn this study, childhood anaemia remains a public health problem. The spatial distribution of childhood anaemia varied significantly across the country. Individual-level and community-level factors were associated with childhood anaemia. Therefore, in regions with a high risk of childhood anaemia, individual-level and community-level factors should be intensified by allocating additional resources and providing appropriate and tailored strategies.

Project description:The notion of unmet need for family planning indicates the gap between women's contraceptive practice and their reproductive intention. Although universal access to sexual and reproductive health services including contraceptive methods is a bedrock for sustainable development goals, the unmet need for contraception is high among young women in low-income countries including Ethiopia. The unmet need for contraception is associated with unintended pregnancy which most of the time end in unsafe abortion. Hence, this study aimed to assess the determinants of unmet need for family planning among young married women in Ethiopia using nationally representative data. This study utilized secondary data collected in the 2016 Ethiopia Demographic and Health Survey (EDHS). A two-stage cluster sampling method was used. The analysis included a total of 2444 sexually active married young women (15-24 years). Multilevel logistic regression analysis was conducted to identify individual and community level factors associated with unmet need for contraceptives and the results were presented as adjusted odds ratio (AOR) at 95% confidence interval (CI), declaring statistical significance at a p-value <0.05 in all analyses. In this study, the prevalence of unmet need for contraceptive method among married young women was 18.4% [95% CI: (16.9, 20.0)]. Female head of the household [AOR: 1.62, CI (1.25, 2.11)], primary level of education [AOR: 1.53, CI: (1.16, 2.03)], family size ≥5 [AOR: 1.53, 95%CI: (1.22, 1.93)], undecided to have child [AOR: 2.86, 95%CI: (1.58, 5.20)] and infecund [AOR: 1.54, 95%CI: (1.08, 2.20)] were factors positively associated with unmet need for family planning. Whereas the odds of unmet need for contraceptive method was lower among women-initiated sex between 15-17 years and >17 years [AOR:0.72, 95%CI (0.53, 0.98)] and [AOR: 0.58, 95%CI: (0.40, 0.85)] respectively and community with high proportion of poverty [AOR: 0.68, 95%CI: (0.46, 0.99)]. The prevalence of unmet need for contraceptive methods among young married women was relatively high. Being female household head, age at first sexual intercourse, educational status of the woman, family size, desire for more children, and community poverty were significantly associated with unmet need for family planning. Hence, interventions targeting these special populations at the individual and community level would play a paramount role in meeting the unmet need for contraception among young married women in Ethiopia.

Project description:BackgroundDespite continued efforts to address malnutrition, there is minimal reduction in the prevalence rates of stunting in developing countries, including Ethiopia. The association between nutritional and socioeconomic factors collected from a national survey in Ethiopia and stunting have not been rigorously analyzed. Therefore, this study aims to model the effect of nutritional and socioeconomic predictors using 2016 Ethiopian Demographic Health Survey (EDHS) data.MethodsThis study is a secondary data analysis of the 2016 EDHS survey, which included 7909 children aged 6 to59 months. Descriptive statistics using frequency and percentage for categorical data and mean and standard deviation for metric data were conducted. Linearity, confounding, and multicollinearity were checked. Bivariable and multivariable logistic regression were carried out. The adjusted odds ratio (AOR) and 95% confidence interval (CI) were calculated. A receiver operative curve was built to estimate the sensitivity and specificity of the model.ResultsThe study identified that 39.2% of children included in this analysis were stunted. Furthermore, 76.47, 84.27, and 92.62% of the children did not consume fruits and vegetables, legumes and lentils, or meat and its products, respectively. Children aged 24 months to 59 months were found to be at 9.71 times higher risk of being stunted compared to their younger counterparts aged 6-24 months (AOR: 9.71; CI: 8.07, 11.6 children). Those children weighing below 9.1 kg were at 27.86 odds of being stunted compared to those weighing 23.3 kg and above. Moreover, mothers with a height below 150 cm (AOR: 2.01; CI: 1.76, 2.5), living in a rural area (AOR: 1.3, CI: 1.09, 1.54), and being male (AOR: 1.4; CI: 1.26, 1.56) were factors associated with stunting. The predictive ability of the model was 77%: if a pair of observations with stunted and non-stunted children were taken, the model correctly ranks 77% of such pair of observations.ConclusionThe model indicates that being born male, being from a mother of short stature, living in rural areas, small child size, mother with mild anemia, father having no formal education or primary education only, having low child weight, and being 24-59 months of age increases the likelihood of stunting. On the other hand, being born of an overweight or obese mother decreases the likelihood of stunting.

Project description:BackgroundInstitutional delivery is an important indicator in monitoring the progress towards Sustainable Development Goal 3.1 to reduce the global maternal mortality ratio to less than 70 per 100,000 live births. Despite the international focus on reducing maternal mortality, progress has been low, particularly in Sub-Saharan Africa (SSA), with more than 295,000 mothers still dying during pregnancy and childbirth every year. Institutional delivery has been varied across and within the country. Therefore, this study aimed to investigate the individual and community level determinants, and spatial distribution of institutional delivery in Ethiopia.MethodsA secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 11,022 women was included in this study. For spatial analysis, ArcGIS version 10.6 statistical software was used to explore the spatial distribution of institutional delivery, and SaTScan version 9.6 software was used to identify significant hotspot areas of institutional delivery. For the determinants, a multilevel binary logistic regression analysis was fitted to take to account the hierarchical nature of EDHS data. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV), and deviance (-2LL) were used for model comparison and for checking model fitness. Variables with p-values<0.2 in the bi-variable analysis were fitted in the multivariable multilevel model. Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) were used to declare significant determinant of institutional delivery.ResultsThe spatial analysis showed that the spatial distribution of institutional delivery was significantly varied across the country [global Moran's I = 0.04 (p<0.05)]. The SaTScan analysis identified significant hotspot areas of poor institutional delivery in Harari, south Oromia and most parts of Somali regions. In the multivariable multilevel analysis; having 2-4 births (AOR = 0.48; 95% CI: 0.34-0.68) and >4 births (AOR = 0.48; 95% CI: 0.32-0.74), preceding birth interval ≥ 48 months (AOR = 1.51; 95% CI: 1.03-2.20), being poorer (AOR = 1.59; 95% CI: 1.10-2.30) and richest wealth status (AOR = 2.44; 95% CI: 1.54-3.87), having primary education (AOR = 1.47; 95% CI: 1.16-1.87), secondary and higher education (AOR = 3.44; 95% CI: 2.19-5.42), having 1-3 ANC visits (AOR = 3.88; 95% CI: 2.77-5.43) and >4 ANC visits (AOR = 6.53; 95% CI: 4.69-9.10) were significant individual-level determinants of institutional delivery while being living in Addis Ababa city (AOR = 3.13; 95% CI: 1.77-5.55), higher community media exposure (AOR = 2.01; 95% CI: 1.44-2.79) and being living in urban area (AOR = 4.70; 95% CI: 2.70-8.01) were significant community-level determinants of institutional delivery.ConclusionsInstitutional delivery was low in Ethiopia. The spatial distribution of institutional delivery was significantly varied across the country. Residence, region, maternal education, wealth status, ANC visit, preceding birth interval, and community media exposure were found to be significant determinants of institutional delivery. Therefore, public health interventions should be designed in the hotspot areas where institutional delivery was low to reduce maternal and newborn mortality by enhancing maternal education, ANC visit, and community media exposure.

Dataset Information

Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data.

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Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data.

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