scholarly journals Spatio-temporal distribution and determinants of home delivery in Ethiopia. Multilevel and spatial analysis of EDHS 2005- 2016

2019 ◽  
Author(s):  
Zemenu Tessema Tadesse ◽  
Sofonyas Abebaw Tiruneh
Keyword(s):  
Spatial Distribution ◽  
Antenatal Care ◽  
Wealth Index ◽  
Educational Status ◽  
Home Delivery ◽  
P Value ◽  
Mobile Access ◽  
Care Visit ◽  
Skilled Health ◽  
Status Of Women

Abstract Background: Globally, only 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, only 26% of live births attended by skilled health personal. The aim of this study was to assess the spatial patterns and determinants of home delivery in Ethiopia from 2005 to 2016. Method: A total of 34,348 women who gave live birth in the five years preceding each survey were included for this study. ArcGIS version 10.7 software was used to visualize spatial distribution for home delivery. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for home delivery in Ethiopia. Result: Home delivery was declined from 94.78% in 2005 to 90.05% in 2011, and 73.44% in 2016 in Ethiopia. Among the three surveys, consistently high clustering of home delivery was observed in Amhara and Southern Nation Nationalities and People Regions of Ethiopia. In spatial scan statistics analysis, a total of 128 clusters (RR= 1.04, P-value < 0.001) in 2005, and 90 clusters (RR = 1.11, P-value < 0.001) in 2011, and 55 clusters (RR = 1.29, P-value < 0.001) in 2016 significant primary clusters were identified. Educational status of women and husband, religion, distance to the health facility, mobile access, antenatal care visit, birth order, parity, wealth index, residence, and region were statistically associated with home delivery. Conclusion: The spatial distribution of home delivery among the three consecutive surveys were non-random in Ethiopia. Low educational status of women and her husband, long distance to the health facility, poor wealth index, rural residence, multiparity, have no mobile access, living in Amhara and SNNP region, and had no antenatal care visit were significant predictors of home delivery in Ethiopia. Therefore, An intervention needs to improve the coverage of antenatal care, women and her husband's education, health care facilities and mobile access. Special attention should give women live in Amhara and SNNPR regions. Key Words: Home delivery, EDHS, Spatial Distribution, Ethiopia.

scholarly journals Spatio-temporal distribution and associated factors of home delivery in Ethiopia. Fruther multilevel and spatial analysis of  Ethiopian Demographic and Health Surveys 2005 - 2016

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse ◽  
Sofonyas Abebaw Tiruneh
Keyword(s):  
Spatial Distribution ◽  
Wealth Index ◽  
Educational Status ◽  
Home Delivery ◽  
P Value ◽  
Live Births ◽  
Mobile Access ◽  
Care Visit ◽  
Skilled Health ◽  
Status Of Women

Abstract Background: Globally, between 2012 -2017 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, in 2016 only 26% of live births attended by skilled health personal. The aim of this study was to assess the spatial patterns and associated factors of home delivery in Ethiopia using 2005 to 2016 Ethiopian Demgraphic and Health Surveys. Method: A total of 33 482 women who gave live birth in the five years preceding each survey were included for this study. ArcGIS version 10.7 software was used to visualize spatial distribution of home delivery. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for home delivery in Ethiopia. Multilevel logistic regression model were fitted to identify factors associated with home delivery. A p-value < 0.05 was taken to declare statistically significant predictors. Result: Home delivery was declined from 94.78% in 2005 , 90.05% in 2011, and 73.44% in 2016 in Ethiopia. Among the three surveys, consistently high clustering of home delivery was observed in Amhara and Southern Nations Nationalities and People’s (SNNPR) Regions of Ethiopia. In spatial scan statistics analysis, a total of 128 clusters (RR= 1.04, P-value < 0.001) in 2005, and 90 clusters (RR = 1.11, P-value < 0.001) in 2011, and 55 clusters (RR = 1.29, P-value < 0.001) in 2016 significant primary clusters were identified. Educational status of women and husband, religion, distance to the health facility, mobile access, antenatal care visit (ANC), birth order, parity, wealth index, residence, and region were statistically associated with home delivery. Conclusion: The spatial distribution of home delivery among the three consecutive surveys were non-random in Ethiopia. Educational status of women and husband, religion, distance to the health facility, wealth index, residence, parity, mobile access, Region, and antenatal care visit were significant predictors of home delivery in Ethiopia. Therefore, an intervention needs to improve the coverage of ANC, and health care facilities. Ministry of health and other stakeholders should give special attention women live in Amhara and (SNNPR) states of Ethiopia. Key Words: Home delivery, EDHS, Spatial Distribution, Ethiopia.

scholarly journals Spatio-temporal distribution and associated factors of home delivery in Ethiopia. Further multilevel and spatial analysis of Ethiopian Demographic and Health Surveys 2005 - 2016  

2020 ◽  
Author(s):  
Zemenu Tadesse Tessema ◽  
Sofonyas Abebaw Tiruneh
Keyword(s):  
Antenatal Care ◽  
Wealth Index ◽  
Educational Status ◽  
Home Delivery ◽  
P Value ◽  
Demographic And Health Surveys ◽  
Antenatal Care Visit ◽  
Mobile Access ◽  
Care Visit ◽  
Status Of Women

Abstract Background: Globally, between 2012 -2017, 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, in 2016 only 26% of live births attended by skilled health personal. The aim of this study was to assess the spatial patterns and associated factors of home delivery in Ethiopia using 2005, 2011, and 2016 Ethiopian Demographic and Health Surveys. Method: A total of 33 482 women who gave live birth in the five years preceding each survey were included for this study. ArcGIS version 10.7 software was used to visualize the spatial distribution of home delivery. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for home delivery in Ethiopia. A multilevel logistic regression model was fitted to identify factors associated with home delivery. A p-value < 0.05 was taken to declare statistically significant predictors. Result: Home delivery was declined from 94.78% in 2005, 90.05% in 2011, and 73.44% in 2016 in Ethiopia. Among the three surveys, consistently high clustering of home delivery was observed in Amhara and Southern Nations Nationalities and People’s Regions (SNNPR) of Ethiopia. In spatial scan statistics analysis, a total of 128 clusters (RR= 1.04, P-value < 0.001) in 2005, and 90 clusters (RR = 1.11, P-value < 0.001) in 2011, and 55 clusters (RR = 1.29, P-value < 0.001) in 2016 significant primary clusters were identified. Educational status of women and husband, religion, distance to the health facility, mobile access, antenatal care visit, birth order, parity, wealth index, residence, and Region were statistically significant predictors of home delivery.Conclusion: The spatial distribution of home delivery among the three consecutive surveys were non-random in Ethiopia. Educational status of women and husband, religion, distance to the health facility, wealth index, residence, parity, mobile access, Region, and antenatal care visit were statistically significant predictors of home delivery in Ethiopia. Therefore, an intervention needs to improve the coverage of antenatal care visit, and health care facilities. Ministry of health and other stakeholders should give special attention to women living in Amhara and SNNPR states of Ethiopia.

scholarly journals Prevalence and associated factors of home delivery among women at Jimma town, Jimma Zone, Southwest Ethiopia

2020 ◽  
Vol 6 (4) ◽  
pp. 114-119
Author(s):  
Aynalem Yetwale ◽  
Eneyew Melkamu ◽  
Workiltu Ketema
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Educational Status ◽  
Home Delivery ◽  
P Value ◽  
Southwest Ethiopia ◽  
Study Participants ◽  
Jimma Town ◽  
Institutional Delivery Service

Background: Maternal and child mortality and morbidity are higher during childbirth in developing countries compared to developed countries. Institutional delivery service utilization is indispensable to improve maternal and child health.However, the proportion of women utilizing institutional delivery service in Ethiopia is very low. In addition, little is known about factors contributing to home delivery. Objectives: To assess the prevalence of home delivery and associated risk factors at Jimma Town, Southwest Ethiopia. Methods: A community-based cross-sectional study was employed on 423 study participants. Data were collected by semi-structured questionnaire through face to face interview. A systematic sampling technique was used to select study participants. After cleaning and checking completeness of collected data, data was entered into Epi data version 3.3.1 software and exported to Statistical Package for the Social Science (SPSS) version 21.0 for analysis. Logistic regression was used to find out the association between explanatory and response variables. Explanatory variables which fulfill the assumption of logistic regression and had a P-value less than 0.25 from bi-variable logistic regression were considered for the multivariable logistic regression model. The strength of association was evaluated using odds ratio at 95% confidence interval (CI) and P-value < 0.05 was considered to declare significant associations. Results: The prevalence of home delivery in this study was 36.64% (n=155/423 and it had significant association with illiteracy AOR=2.7 [(95%CI); (1.37-5.43)], multi-gravida AOR=2.12 [(95%CI); (1.09-4.10)], history of antenatal care (ANC) follow up AOR=4.15 [(95%CI); (2.57-6.70)] and husband educational status AOR=13.5 [(95%CI); (2.86-63.62)]. Conclusion: The prevalence of home delivery in this study was high compared to world health organizational recommendation. Educational status of the mother, gravida, antenatal care follow up and husband educational status were factors that had a significant association. Women empowerment through educational opportunities, increase antenatal care follow up and male involvement in maternal health service are recommended

scholarly journals Socioeconomic inequality in intermittent preventive treatment using Sulphadoxine pyrimethamine among pregnant women in Nigeria

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fatima Mahmud Muhammad ◽  
Reza Majdzadeh ◽  
Saharnaz Nedjat ◽  
Haniye Sadat Sajadi ◽  
Mahboubeh Parsaeian
Keyword(s):  
Pregnant Women ◽  
Concentration Index ◽  
Socioeconomic Inequality ◽  
Intermittent Preventive Treatment ◽  
Wealth Index ◽  
Preventive Treatment ◽  
Educational Status ◽  
P Value ◽  
Contributing Factors ◽  
Sulphadoxine Pyrimethamine

Abstract Background Intermittent preventive treatment using Sulphadoxine pyrimethamine (IPTp-SP) for malaria prevention is recommended for all pregnant women in malaria endemic areas. However, there is limited evidence on the level of socioeconomic inequality in IPTp-SP use among pregnant women in Nigeria. Thus, this study aimed to determine the level of socioeconomic inequality in IPTp-SP use among pregnant women in Nigeria and to decompose it into its contributing factors. Methods A secondary data analysis of Nigerian demographic and health survey of 2018 was conducted. A sample of 21,621 pregnant women aged between 15 and 49 years and had live birth in the previous 2 years before the survey were included in this analysis. The study participants were recruited based on a stratified two-stage cluster sampling method. Socioeconomic inequality was decomposed into its contributing factors by concentration index. Result Totally 63.6% of pregnant women took at least one dose of IPTp-SP prophylaxis. Among IPTp-SP users, 35.1% took one dose, 38.6% took two doses and 26.2% took three doses and more. Based on both concentration index of 0.180 (p-value = < 0.001, 95% CI: 0.176 to 0.183) and Erreyger’s normalization concentration index 0.280 (p-value = < 0.001, 95% CI: 0.251 to 0.309), the IPTp-SP utilization was pro-rich. The largest contributors to the inequality in IPTp-SP uptake were wealth index (47.81%) and educational status (28.66%). Conclusion Our findings showed that IPTp-SP use was pro-rich in Nigeria. Wealth index and educational status were the factors that significantly contributed to the inequality. The disparities could be reduced through free IPTp service expansion by targeting pregnant women from low socioeconomic status.

scholarly journals Prevalence and Factors Associated with Late Antenatal Care Visit in Ethiopia: A population-based study using the 2016 Ethiopia Demographic and Health Survey

2019 ◽  
Author(s):  
Eskeziaw Kassahun Abebe ◽  
Amanuel Addisu Dessie ◽  
Liknaw Bewket Zeleke
Keyword(s):  
Maternal Health ◽  
Antenatal Care ◽  
Health Survey ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Maternal Health Service ◽  
P Value ◽  
Factors Associated ◽  
Antenatal Care Visit ◽  
Care Visit

Abstract Objectives Maternal health care services are important for the survival and wellbeing of both mother and infant. In 2015, an estimated 303,000 women died from pregnancy-related complications. The Ethiopian government has implemented strategies to enhance maternal health service utilization, and reduce maternal morbidity and mortality. However, only 20.4% of women initiated the first antenatal care visit before 16 weeks of gestation. Therefore, this study assessed factors associated with late antenatal care visit in Ethiopia. A community based cross-sectional study design was used to examine 4,740 women from the 2016 Ethiopia Demographic and Health Survey data. Odds ratios with corresponding 95% confidence intervals (CI) were computed to examine the strength of an association. In the multivariable analysis, variables with p-value <0.05 were considered as statistically significant. Result The prevalence of late initiation of first antenatal care visit in Ethiopia was 67.3% (65.0%,69.6%). Living in rural areas (AOR= 95% CI:1.19,2.56) and fifth or above birth order (AOR=1.5;95% CI:1.10,2.00) were significantly associated with late antenatal care visit. Consequently, increasing the access and utilization of family planning, and raise an awareness on the benefit of early initiation of first antenatal care visit is recommended.

scholarly journals Hubungan faktor sosiodemografi dengan kunjungan antenatal care

2018 ◽  
Vol 13 (1) ◽  
pp. 55-61
Author(s):  
Elika Puspitasari ◽  
Mochammad Hakimi ◽  
Evi Nurhidayati
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Antenatal Care ◽  
Bivariate Analysis ◽  
P Value ◽  
Cross Sectional ◽  
Care Visit ◽  
Regression Test ◽  
Cross Sectional Design ◽  
Logistic Regression Test

Abstact: The purpose of this study was to investigate the association ofsociodemographic factors with antenatal care visits. Types of analyticsurvey research with cross sectional design. Sampling with quota samplingwas obtained 100 trimester pregnant women 3. Bivariate analysis usingchi-square test. Multivariate analysis with logistic regression test. Theresults showed that the factors unrelated to ANC were Age (p-value =0.46), occupation (p-value = 0,55), knowledge (p-value = 0.88), andincome -value = 0.22). While the factors of education and distance ofpregnancy is related to antenatal care visit (p-value <0,02). ConclusionsAge, occupation, knowledge and income are unrelated to antenatal visitswhereas education and pregnancy distances are related to antenatal carevisits.

scholarly journals Determinants of Home Delivery among Mothers in Abobo District, Gambella Region, Ethiopia: A Case Control Study

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Asmelash Abera Mitiku ◽  
Abraham Lomboro Dimore ◽  
Solomon Berhanu Mogas
Keyword(s):  
Formal Education ◽  
Case Control Study ◽  
Negative Attitude ◽  
Wealth Index ◽  
Household Wealth ◽  
Home Delivery ◽  
Sub Saharan Africa ◽  
Care Visit ◽  
Sub Saharan ◽  
Control Study

Introduction. Home delivery is one of the major reasons for high maternal mortality ratio in sub-Saharan Africa. Sub-Saharan Africa and South Asia together contribute over 85% of maternal deaths, of which, only half of deliveries are institutional. However, data are scarce on the availability of information with regard to the determinant factors for this high prevalence of home delivery in the study area. Objective. This study is aimed at determining factors associated with home delivery, among mothers in Abobo Woreda, Gambella region, Southwest Ethiopia, 2019. Methods. A case control study conducted from 12 March 2019 up to 2 April 2019 on 88 cases and 176 controls. Cases include mothers who gave birth at home and those mothers who gave birth at health facility in the last one year preceding the study included as controls. Data entry was made using Epi-Data version 3.1, and analysis was made using SPSS version 20. A binary logistic regression analysis was conducted to assess candidate variables and subsequently a multivariable regression to determine the statistical associations. Adjusted odds ratio (AOR) with 95% confidence interval (CI) was calculated to determine strength of association, and p value <0.05 was used to establish significant associations. Results. No formal education (AOR: 5.07; 95% CI: 2.18-11.50), poor knowledge on obstetric complications (AOR: 3.83; 95% CI: 1.98-7.40), negative attitude towards delivery service (AOR: 3.25; 95% CI: 1.70-6.19), poor household wealth index (AOR: 4.55; 95% CI: 2.01-10.31), and no antenatal care visit (AOR: 3.29; 95% CI: 1.63-6.63) were found to be significantly associated with home delivery. Conclusions. The findings do support that no formal education, poor knowledge on obstetric complications, negative attitude towards delivery service, poor household wealth index, and no antenatal care visit showed a significant association with home delivery.

scholarly journals Spatial distribution and Determinants of Optimal ANC visit among pregnant women in Ethiopia: Further analysis of 2016 Ethiopia demographic Health Survey

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse ◽  
Yaregal Animut
Keyword(s):  
Spatial Distribution ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Health Survey ◽  
Addis Ababa ◽  
Educational Status ◽  
Community Level ◽  
Maternal And Newborn Health ◽  
Male Partners ◽  
Health Institutions

Abstract Background: Antenatal care (ANC) is essential to improve maternal and newborn health and wellbeing. Antenatal care coverage is improving in Africa since over two-thirds of pregnant women have at least one ANC contact. However, to realize the complete life-saving potential that ANC guarantees for mothers and babies, at least four visits providing essential evidence-based interventions are required. . Therefore, this study was conducted to identify determinants of an optimal ANC visit and its spatial distribution in Ethiopia. Methods: This study is a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS).A total of 8,025 women who had a live birth in the five years preceding the survey were included in this study. STATA 14 software and ArcGIS10.7 software were used for analysis. The generalized estimating equation (GEE) model was fitted to identify factors associated with an optimal ANC visit. Crude and Adjusted odds ratio with a 95% CI computed to assess the strength of association between explanatory and outcome variables. Results: This study revealed that rural residence (AOR=0.59, 95%CI: 0.45-0.77),male partners educational status[secondary school (AOR=1.33, 95%CI: 1.05-1.67)], distance to the health institutions[not a big problem (AOR=1.21, 95%CI: 1.04-1.39)], community-level literacy(AOR=1.07, 95%CI: 1.03-1.12), and community level service utilization(AOR=2.67,95%CI:2.21-3.24) were significantly associated with optimal ANC visits. From the spatial analysis result, an Optimal ANC visit was observed in Addis Ababa, Tigray, Harari, and Dire Dawa regions whereas areas with no optimal ANC visit were Afar, Amhara, Oromia Benishangul, SNNP, and Somalia regions. Conclusion: Living in peripheral regions of the country and in rural areas, lower educational status of male partners and distance to health institutions were prohibiting factors for an adequate number of visits. In this study, community-level literacy and community level service utilizations were were also affect womens’ ANC utilization which implies community-level interventions should be considered for improving antenatal care utilization and better health outcomes. The government should give special attention to the regions like Afar, Amhara, Oromia, Benishangul, SNNP, and Somalia which had low optimal ANC visits. Keywords: Optimal Antenatal Care Visit, Determinant, Spatial distribution, Ethiopia

scholarly journals FACTORS THAT INFLUENCING THE AWARENESS OF THE FIRST ANTENATAL VISIT

2021 ◽  
Vol 4 (3) ◽  
pp. 264
Author(s):  
Maria Magdalena Awi ◽  
Dwi Purwanti ◽  
Reny I’tishom ◽  
Ninik Darsini
Keyword(s):  
Antenatal Care ◽  
Pregnant Women ◽  
Family Support ◽  
Dominant Factor ◽  
P Value ◽  
Antenatal Visit ◽  
Test Results ◽  
Multivariate Test ◽  
Antenatal Care Visit ◽  
Care Visit

ABSTRACTBackground : K1 antenatal care visits at gestational age less than 13 weeks has a very important meaning for pregnant women as well as maternal and child health programs because of their contribution to the prevention of maternal deaths. Coverage of K1 in Puskesmas Watukapu  still has a gap of 28.05%.This study aims to determine the factors that influence the K1 antenatal care visit. Methode : The research method was analytic observational with cross sectional design. The sample in this study were all pregnant women trimesters 2 and 3 who came to visit the POLI KIA Puskesmas Watukapu.The sample size of 70 respondents was taken by non-probability sampling technique with consecutive sampling.The independent variable was K1 antenatal care visit, while the dependent variable were age, knowledge, education, parity, attitude, husband's support and family support.Research instrument with questionnaire. Bivariate data analysis used chi square test and multivariate test used  multiple logistic regression  test.  Results:this study found that the proportion of K1 antenatal care visits was 62.4%. Bivariate statistical test results knowledge P = 0,000 (p <0,005), attitude P = 0,135 (P> 0,005), husband support P = 0,000 (P <0,005), family support P = 0,004 (P <0,005), age P = 0,331 (P> 0.005), education P = 0.004 (P <0.005), parity P = 0.015 (P <0.05).  Multivariate test results with  P value <0.005 was  parity with a P value of 0.017.Conclusion: There is a correlation between knowledge, education, parity, husband's support and family support to the awareness of K1 antenatal care visits with the most dominant factor is parity.  

scholarly journals Spatial distribution and associated factors of underweight in Ethiopia: An analysis of Ethiopian demographic and health survey, 2016

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242744
Author(s):  
Biruk Shalmeno Tusa ◽  
Adisu Birhanu Weldesenbet ◽  
Sewnet Adem Kebede
Keyword(s):  
Spatial Distribution ◽  
Cigarette Smoking ◽  
Health Survey ◽  
Associated Factors ◽  
Hot Spot ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
P Value ◽  
Data Set

Background Underweight 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. Methods Secondary 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. Result In 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. Conclusions There 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.

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