Dataset Information

Association between unintended pregnancy and maternal antenatal care services use in Ethiopia: analysis of Ethiopian demographic and health survey 2016.

ABSTRACT:

Introduction

Unintended pregnancy disproportionately affects women in low and middle-income countries including Ethiopia. Previous studies identified the magnitude and negative health outcomes of unintended pregnancy. However, studies that examined the relationship between antenatal care (ANC) utilization and unintended pregnancy are scarce.

Objective

This study aimed to examine the relationship between unintended pregnancy and ANC utilization in Ethiopia.

Methods

This is a cross-sectional study conducted using the fourth and most recent Ethiopian Demographic Health Survey (EDHS) data. The study comprised a weighted sample of 7,271 women with last alive birth and responded to questions on unintended pregnancy and ANC use. The association between unintended pregnancy and ANC uptake was determined using multilevel logistic regression models adjusted for possible confounders. Finally p < 5% was considered significant.

Results

Unintended pregnancy accounted for nearly a quarter of all pregnancies (26.5%). After adjusting for confounders, a 33% (AOR: 0.67; 95% CI, 0.57-0.79) lower odds of at least one ANC uptake and a 17% (AOR: 0.83; 95% CI, 0.70-0.99) lower odds of early ANC booking were found among women who had unintended pregnancy compared to women with intended pregnancy. However, this study founds no association (AOR: 0.88; 95% CI, 0.74, 1.04) between unintended pregnancy and four or more ANC visits.

Conclusion

Our study found that having unintended pregnancy was associated with a 17 and 33% reduction in early initiation and use of ANC services, respectively. Policies and programs designed to intervene against barriers to early initiation and use of ANC should consider unintended pregnancy.

SUBMITTER: Yalew AZ

PROVIDER: S-EPMC10155231 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between unintended pregnancy and maternal antenatal care services use in Ethiopia: analysis of Ethiopian demographic and health survey 2016.

Yalew Ayalnesh Zemene AZ Olayemi Oladapo O OO Yalew Alemayehu Worku AW

Frontiers in medicine 20230419

<h4>Introduction</h4>Unintended pregnancy disproportionately affects women in low and middle-income countries including Ethiopia. Previous studies identified the magnitude and negative health outcomes of unintended pregnancy. However, studies that examined the relationship between antenatal care (ANC) utilization and unintended pregnancy are scarce.<h4>Objective</h4>This study aimed to examine the relationship between unintended pregnancy and ANC utilization in Ethiopia.<h4>Methods</h4>This is a ...[more]

PMID: 37153096

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Project description:BackgroundAdvanced maternal-age pregnancy has become a serious public health problem in both developed and developing countries due to adverse birth outcomes for the mother, fetus, or newborn. However, there are limited studies conducted to identify determinants of advanced-age pregnancy in Ethiopia. Therefore, this study aimed to assess individual and community-level determinants of advanced age pregnancy in Ethiopia.MethodsThis study was based on 2016 Ethiopian Demographic and Health Survey data. Three thousand two hundred ninety-two weighted samples of pregnant women were included in this analysis. A multilevel logistic regression model was conducted to assess the determinants of advanced-age pregnancy among the study participants in Ethiopia.Resultsmaternal age at first birth (AOR = 4.05, 95% CI: 1.77-9.22), level of maternal education [primary education 2.72 times (AOR = 2.27, 95 CI: 1.55-4.76) and secondary and above education (AOR = 5.65, 95% CI: 1.77-17.70)], having a history of alcohol (AOR = 11.8, 95% CI: 5.71-24.42), parity (AOR = 3.22, 95% CI: 2.69-3.84), number of household member (AOR = 1.22, 95% CI: 1.05-1.41), family planning unmet need for spacing of pregnancy (AOR = 4.79, 95% CI: 2.63-8.74), having sons/daughters elsewhere (AOR = 1.89, 95% CI: 1.22-2.94), had higher community poverty level (AOR = 2.37, 95% CI: 1.16-4.85), those had higher community unmet need for family planning (AOR = 5.19, 95% CI: 2.72-9.92) were more likely to have advanced age pregnancy. Whereas Living in an Emerging region (AOR = 0.29, 95% CI: 0.14-0.59) and living in a metropolitan city (AOR = 0.03, 95% CI: 0.03-0.38), were less likely to have advanced age pregnancy.Conclusionsincreased Maternal age at first birth, level of maternal education, history of alcohol drinking, increased number of parity and household members, family planning unmet need for spacing, had sons/daughters elsewhere, had higher community poverty level, those had higher community unmet need for family planning positively, whereas living in the emerging region and living in metropolitan's city was negatively affect advanced age pregnancy. Help women to have informed decision-making and create platforms to women have special care during this age of pregnancy. Empower women on family planning and socioeconomic status.

Project description:BACKGROUND:All pregnancies are at risk and have to be attended by skilled professionals. In Ethiopia however nearly half (45.7%) of the women were giving birth at home after antenatal care (ANC) visits in which skilled professionals were not available. Therefore, the aim of this study was to assess spatial clustering and the determinant factors of home delivery after antenatal care visits in Ethiopia. METHODS:A case control study was conducted on 2110 mothers who gave birth at home after ANC (cases), and 2510 mothers who gave birth at health institutions after attending ANC (controls), based on EDHS 2016 data. As per the recommendations of the DHS program, we weighed the data before analysis. ArcGIS 10.3 was used to show spatial pattern and SaTScan™ 9.4 to identify significant clusters. Stata 14 was used for data cleaning, weighing, and the analysis of the determinant factors. Bi variable and multi variable multilevel mixed effect logistic regression was fitted. Finally, the Log-likelihood ratio (LLR) and Relative risk with p-value of spatial scan statistics and AOR with 95% CI for significant determinant factors were reported. RESULTS:Home delivery after ANC was spatially clustered in Ethiopia (Moran's Index?=?0.91, p-value<?0.01). Attending, 1-3 ANC visits (AOR?=?1.41, 95%CI: 1.17-1.71), no information about birth preparedness plan (AOR?=?2.21, 95%CI: 1.83-2.69), pregnancies wanted later (AOR?=?1.55, 95%CI: 1.20, 2.06), not having health insurance (AOR?=?2.16, 95% CI: 1.29, 3.62), Muslim (AOR?=?1.57, 95% CI: 1.13, 2.19) and protestant (AOR?=?1.72, 95%CI: 1.16, 2.42) religions were positively associated with home delivery; While being rich (AOR?=?0.42, 95%CI: 0.32-0.54), middle wealth index (AOR?=?O.66, 95%CI: 0.51, 0.86), primary education (AOR?=?0.45, 95%CI: 0.36-0.55), secondary education (AOR?=?0.11, 95%CI: 0.07-0.16), above secondary education (AOR?=?0.06, 95%CI: 0.03-0.11) were negatively associated. CONCLUSIONS:Home delivery after ANC follow ups was spatially clustered. Socio-demographic, health service and pregnancy related factors determined the prevalence of home delivery after antenatal care visits. Strengthening women's education, ANC visit, giving more information about birth preparedness plan, and improving family wealth are vital to reduce home delivery after antenatal care visits.

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:ObjectivesMaternal mortality remains unacceptably high in sub-Saharan Africa with 533 maternal deaths per 100 000 live births, accounting for 68% of all maternal deaths worldwide. Most maternal deaths could be prevented by adequate maternal health service use. The study examined the effect of literacy status on maternal health services utilisation among reproductive-age women in Ethiopia.DesignA cross-sectional study.SettingsEthiopia.ParticipantsA weighted sample of 3839 reproductive-age women who gave birth in the last 5 years preceding the survey and whose literacy status was measured were included in this study. The survey used a two-stage stratified cluster sampling technique.Primary and secondary outcome measuresThis study used a dataset from the recent Ethiopia Mini Demographic and Health Surveys. We assessed the maternal health service utilisation among reproductive-age women. Multivariable logistic regression analyses were employed to assess the association between literacy status and maternal healthcare utilisation while controlling for other factors. Adjusted OR with a 95% CI was reported.ResultsAbout 63.8% of reproductive-age women were illiterate. The prevalence of antenatal care (ANC) 1, ANC 4, skilled birth attendance and postnatal care (PNC) services utilisation was 74.9%, 43.5%, 51.9% and 32.0%, respectively. Literate women had significantly higher ANC 1, ANC 4, skilled birth attendance, and PNC services utilisation than illiterate women (p<0.001). Regional variation, wealth status, age at first birth, birth order and birth intervals were significantly associated with maternal healthcare utilisation among both literate and illiterate women. Similarly, ANC booking timing and utilisation, age of household head and religious affiliation were associated with institutional delivery and PNC utilisation.ConclusionLiterate women had a significantly higher maternal healthcare services utilisation than illiterate, modified by sociodemographic and obstetric-related factors. Hence, wholehearted efforts should be directed towards educating and empowering women.

Project description:BackgroundThe perinatal mortality rate in Ethiopia is among the highest in Sub Saharan Africa. The aim of this study was to identify the spatial patterns and determinants of perinatal mortality in the country using a national representative 2016 Ethiopia Demographic and Health Survey (EDHS) data.MethodsThe analysis was completed utilizing data from 2016 Ethiopian Demographic and Health Survey. This data captured the information of 5 years preceding the survey period. A total of 7230 women who at delivered at seven or more months gestational age nested within 622 enumeration areas (EAs) were used. Statistical analysis was performed by using STATA version 14.1, by considering the hierarchical nature of the data. Multilevel logistic regression models were fitted to identify community and individual-level factors associated with perinatal mortality. ArcGIS version 10.1 was used for spatial analysis. Moran's, I statistics fitted to identify global autocorrelation and local autocorrelation was identified using SatSCan version 9.6.ResultsThe spatial distribution of perinatal mortality in Ethiopia revealed a clustering pattern. The global Moran's I value was 0.047 with p-value <0.001. Perinatal mortality was positively associated with the maternal age, being from rural residence, history of terminating a pregnancy, and place of delivery, while negatively associated with partners' educational level, higher wealth index, longer birth interval, female being head of household and the number of antenatal care (ANC) follow up.ConclusionsIn Ethiopia, the perinatal mortality is high and had spatial variations across the country. Strengthening partner's education, family planning for longer birth interval, ANC, and delivery services are essential to reduce perinatal mortality and achieve sustainable development goals in Ethiopia. Disparities in perinatal mortality rates should be addressed alongside efforts to address inequities in maternal and neonatal healthcare services all over the country.

Project description:BackgroundUnderweight is one form of indicators of under-nutrition, which results from the poor nutrient intake and underlying health problems. Its impact is beyond an individual and extends to a country level. It has been known from the literature that underweight has a negative effect on income and development of a country. In the context of Ethiopia, factors predicting underweight remain unknown and there is a paucity of evidence on geographical distribution of underweight among individuals aged 15-49 years. Therefore, the aim of this study was to examine the geographic distribution of underweight and its associated factors among individuals aged 15-49 years in Ethiopia.MethodsSecondary data analysis was done on a data set consisting of 28,450 individuals and obtained from the Ethiopian Demography and Health Survey (EDHS) 2016. The spatial distribution of underweight across the country was identified by ArcGIS software. Hotspots analysis was done using Getis-Ord Gi* statistic within ArcGIS. In SaTScan software, the Bernoulli model was fitted by Kulldorff's methods to identify the purely spatial clusters of underweight. A binary logistic regression was applied to determine factors associated with being underweight.ResultIn Ethiopia, the spatial distribution of underweight was clustered with Global Moran's I = 0.79 at p-value < 0.0001. The highest underweight clusters were observed in Tigray, Gambella, eastern part of Amhara, and western and central part of Afar regions. Male individuals [AOR = 1.21; 95% CI: (1.15 1.28)], never married [AOR = 1.14; 95% CI: (1.05, 1.24)], rural residents [AOR = 1.32; 95% CI: (1.18, 1.47)], rich [AOR = 0.85; 95% CI: (0.76, 0.94)], cigarette smoking [AOR = 1.25; 95% CI: (1.07, 1.46)], drinking treated water [AOR = 0.91; 95% CI: (0.83, 0.99)] and open filed defecation [AOR = 1.17; 95% CI: (1.08, 1.26)] were found to have a significant association with being underweight.ConclusionsThere was a significant clustering of underweight among individuals aged 15-49 years. Gender, age, marital status, place of residence, wealth index, cigarette smoking, using untreated water and types of toilet were the significant factors of being underweight. Therefore, effective public health interventions like building safe and supportive environments for nutrition, providing socio-economic protection and nutrition-related education for poor and rural resident would be better to mitigate these situations and associated risk factors in hot spot areas. In addition, policymakers should strengthen and promote nutrition sensitive policies and activities in order to alleviate the underlying and basic causes of underweight.

Dataset Information

Association between unintended pregnancy and maternal antenatal care services use in Ethiopia: analysis of Ethiopian demographic and health survey 2016.

Introduction

Objective

Methods

Results

Conclusion

Publications

Association between unintended pregnancy and maternal antenatal care services use in Ethiopia: analysis of Ethiopian demographic and health survey 2016.

Similar Datasets

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