ObjectiveAttending antenatal care helps to reduce the occurrence of maternal morbidity and mortality by providing chances for health promotion and information about danger signs, birth preparedness and where to seek care for pregnancy complications. Therefore identifying factors affecting the utilization of focused ANC service is of supreme importance.ResultsA total of 317 mothers who had a history of antenatal care for their last birth during the previous 6 months were included in the study from which 112 (35.3%, 95% CI 30.6, 40.4) of mothers attended focused antenatal care services. Age of mother [AOR = 4.7, 95% CI 1.87, 11.88], Educational status [AOR = 2.5, 95% CI 1.00, 6.19], history of still birth [AOR = 13.1, 95% CI 2.14, 80.20] and planned pregnancy [AOR = 3.7, 95% CI 1.23, 11.12] were found to be major predictors for focused ANC service utilization. Proportion of focused antenatal care was low (35.3%). Age of mother, education, history of stillbirth and planned pregnancy were identified as predictors affecting focused antenatal care service utilization. Encouraging women’s educational status, behavioral change communication at grass root level and improving the capacity and quality of ANC service are some of the recommendations forwarded.Electronic supplementary materialThe online version of this article (10.1186/s13104-018-3928-y) contains supplementary material, which is available to authorized users.

BackgroundEven though maternal mortality during the time of delivery can be prevented with proper medical care in the health facilities with skilled healthcare professionals, unexpectedly death is still high and is a persistent challenge for low-income countries. Therefore identifying factors affecting the preference of institutional delivery after antenatal care service attendance is a key intervention to reduce maternal morbidity and mortality.MethodA community-based cross-sectional study was conducted using face to face using interviewer-administered questionnaire from a total of 528 women who gave their last birth within 12 months prior to the study period who attended antenatal care (ANC) services. Descriptive statistics, bivariable and multivariable logistic regressions analysis were performed. Statistical significance was considered at p < 0.05 and odds ratio with 95% CI were calculated to examine factors associated with institutional delivery.ResultsOf the 528 pregnant women attending ANC services, 250 (47.3%) gave birth in health facilities (95% CI: 43.2, 51.7%). Urban residence [AOR = 7.8, 95% CI: 4.1, 15.6], four or more ANC visits [AOR = 4.5, 95% CI: 1.6, 12.3], those who got health education on ANC [AOR = 2.9, 95% CI: 1.5, 5.6] and decision on place of delivery with her partner agreement [AOR = 3.3, 95% CI: 1.3, 8.7] were found to be contributing factors for the preference of institutional delivery.ConclusionInstitutional delivery was not adequate. Residence, number of antenatal care visits, health education, decisions making on a place of delivery and having awareness of the difference of place of delivery were contributing factors for the preference of institutional delivery.

Background: An estimate of 2-3 million children under 5 die in the world annually due to vaccine-preventable disease. In Ethiopia, incomplete immunization accounts for nearly 16% of under-five mortality, and there is spatial variation for vaccination of children in Ethiopia. Spatial variation of vaccination can create hotspot of under vaccination and delay control and elimination of vaccine preventable disease. Thus, this study aims to assess the spatial distribution of incomplete immunization among children in Ethiopia from the three consecutive Ethiopia demographic and health survey data. Method: A cross-sectional study was employed from Ethiopia demographic and health survey (2005, 2011and 2016) data. In total, 7901mothers who have children aged (12-35) months were included in this study. ArcGIS 10.5 Software was used for global and local statistics analysis and mapping. In addition, a Bernoulli model was used to analyze the purely spatial cluster detection of incomplete immunization. GWR version 4 Software was used to model spatial relationships. Result: The proportion of incomplete immunization was 74.6% in 2005, 71.4% in 2011, and 55.1% in 2016. The spatial distribution of incomplete immunization was clustered in all the study periods (2005, 2011, and 2016) with global Moran's I of 0.3629, 1.0700, and 0.8796 respectively. Getis-Ord analysis pointed out high-risk regions for incomplete immunization: In 2005, hot spot (high risk) regions were detected in Kefa, Gamogofa, KembataTemibaro, and Hadya zones of SNNPR region, Jimma zone of Oromiya region. Similarly, Kefa, Gamogofa, Kembatatemibaro, Dawuro, and Hadya zones of SNNPR region; Jimma and West Arsi zones of Oromiya region were hot spot regions. In 2016, Afder, Gode, Korahe, Warder Zones of Somali region were hot spot regions. Geographically weighted regression identified different significant variables; being not educated and poor wealth index were the two common for incomplete immunization in different parts of the country in all the three surveys. Conclusion: Incomplete immunization was reduced overtime across the study periods. The spatial distribution of incomplete immunization was clustered and High-risk areas were identified in all the study periods. Predictors of incomplete immunization were identified in the three consecutive surveys.

Background: The early age of sexual initiation contribute a lot for various risks such as mistimed pregnancy followed by insecure termination, developing fistula and contracting sexually transmitted infections which are currently the major public health concerns for low-income countries. Therefore, the purpose of this study was to detect spatial clusters and identify factors associated with an early age sexual initiation of women in the reproductive age group. Methods: We used a population-based nationwide representative Ethiopian Demographic and Health Survey (EDHS) 2016 data.. A total of 12,033 respondents of reproductive age (15-49 years) women who had at least one event of sexual intercourse was retrieved and included for the analysis. Spatial cluster detection and autocorrelation analysis were also done to explore the patterns of early age sexual initiation. Results: The median age at first sexual intercourse among respondents was 16 (±3.3) years and more than half (66.2%) had their first sexual intercourse before the age of 18 years. The spatial variations of the age of sexual initiation was nonrandom and clustered with a Moran's I = 0.413 (P-value < 0.001). In addition, five significant spatial clusters were also identified. Moreover, the probability of starting sex at an earlier age was associated with the respondent's residence, marital status, educational attainment and wealth index. Conclusion: This study found a higher proportion of an early age sexual initiation of women. Respondent's residence, marital status, educational attainment and wealth index were significantly associated with early sexual initiation. The SaTScan analysis identified five statistical significant spatial clusters which indicate that there were geographical variations. Therefore, integrated interventions focusing on the identified high spot clustered areas are recommended to reduce early age sexual initiation.

Background Home delivery is the most frequent childbirth practice in Ethiopia and brings health risks for many mothers and their babies which in turn affecting the whole families. Characterizing the spatial variations and the associated factors of home deliveries after antenatal care visit is necessary to prioritize risks and facilitate geographically based interventions. Method A community-based cross-sectional study design was carried out between February and March 2016. A total of 528 women who had just given birth were interviewed face-to-face using a questionnaire. Geo-referenced data were collected using a handheld global positioning system (GPS). The Bernoulli model was applied using the SatScan ™ software to analyze the purely spatial clusters of home deliveries. ArcGIS version 10.1 was used to visualize clusters of home delivery. Results The overall proportion of home deliveries was 278(52.7%), and home deliveries had spatial variations. A primary cluster [LLR = 14.54, p < 0.001] was detected in village of Safida Giorgis. Secondary clusters were detected in Checheho [LLR = 9.17, p < 0.05] and ZurAmba [LLR = 8.51, p < 0.05]. Predictors for home delivery included the distance between the health extension worker’s and mother’s house [AOR = 2.2, 95% CI: 1.1, 4.3], residence [AOR = 3.8, 95% CI: 1.3, 10.9], source of information for ANC [AOR = 0.3, 95% CI: 0.13, 0.7], ANC visits [AOR = 6.1, 95% CI:1.9, 19.3], health education [AOR = 3.4, 95% CI: 1.5, 7.4], decision on place of delivery [AOR = 0.3, 95% CI: 0.1, 0.8], and knowledge on place of delivery [AOR = 0.04, 95% CI: 0.0, 0.1]. Conclusion The proportion of home delivery after ANC visit was decreasing compared to other studies conducted in the region. In addition, spatial variations of home delivery were observed in the study area. Promoting women’s education and behavioral change communication at the grass root level, provision of the services both at home and health facilities and improving the quality and capacity of the health providers are some of the recommendations forwarded.