scholarly journals Socioeconomic, bio-demographic and health/behavioral determinants of neonatal mortality in Nigeria: a multilevel analysis of 2013 demographic and health survey

2016 ◽  
pp. 311-323 ◽  
Author(s):  
Emmanuel Adewuyi ◽  
Yun Zhao ◽  
Reeta Lamichhane
Keyword(s):  
Multilevel Analysis ◽  
Neonatal Mortality ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Behavioral Determinants

scholarly journals Geographical variations and associated factors of defaulting from immunization among children aged 12 to 23 months in Ethiopia: using spatial and multilevel analysis of 2016 Ethiopian Demographic and Health Survey

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Mukemil Awol ◽  
Zewdie Aderaw Alemu ◽  
Nurilign Abebe Moges ◽  
Kemal Jemal
Keyword(s):  
Multilevel Analysis ◽  
Health Survey ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Scan Statistics ◽  
Moran’S I ◽  
Moran's I ◽  
Depth Analysis ◽  
Global Moran’S I

Abstract Background In Ethiopia, despite the considerable improvement in immunization coverage, the burden of defaulting from immunization among children is still high with marked variation among regions. However, the geographical variation and contextual factors of defaulting from immunization were poorly understood. Hence, this study aimed to identify the spatial pattern and associated factors of defaulting from immunization. Methods An in-depth analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS 2016) data was used. A total of 1638 children nested in 552 enumeration areas (EAs) were included in the analysis. Global Moran’s I statistic and Bernoulli purely spatial scan statistics were employed to identify geographical patterns and detect spatial clusters of defaulting immunization, respectively. Multilevel logistic regression models were fitted to identify factors associated with defaulting immunization. A p value < 0.05 was used to identify significantly associated factors with defaulting of child immunization. Results A spatial heterogeneity of defaulting from immunization was observed (Global Moran’s I = 0.386379, p value < 0.001), and four significant SaTScan clusters of areas with high defaulting from immunization were detected. The most likely primary SaTScan cluster was seen in the Somali region, and secondary clusters were detected in (Afar, South Nation Nationality of people (SNNP), Oromiya, Amhara, and Gambella) regions. In the final model of the multilevel analysis, individual and community level factors accounted for 56.4% of the variance in the odds of defaulting immunization. Children from mothers who had no formal education (AOR = 4.23; 95% CI: 117, 15.78), and children living in Afar, Oromiya, Somali, SNNP, Gambella, and Harari regions had higher odds of having defaulted immunization from community level. Conclusions A clustered pattern of areas with high default of immunization was observed in Ethiopia. Both the individual and community-level characteristics were statistically significant factors of defaulting immunization. Therefore, the Federal Ethiopian Ministry of Health should prioritize the areas with defaulting of immunization and consider the identified factors for immunization interventions.

scholarly journals DETERMINANTS OF NEONATAL MORTALITY BASED ON THE 2017 INDONESIAN DEMOGRAPHIC AND HEALTH SURVEY (IDHS)

2021 ◽  
Vol 16 (3) ◽  
pp. 363
Author(s):  
Fidya Rumiati ◽  
Asri C. Adisasmita
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Health Survey ◽  
Neonatal Period ◽  
Health Interventions ◽  
Demographic And Health Survey ◽  
Outcome Variable ◽  
Childbearing Age ◽  
Major Health Problem

ABSTRACTInfant mortality is still a major health problem in Indonesia as 63% of deaths occur in the neonatal period. The trend of the neonatal mortality rate in Indonesia has decreased from 15 (2017) to 13 deaths per 1,000 live births (2018), but this does not meet the Sustainable Development Goals (SDGs) target. Evidence-based health interventions are based on determinants that most influences neonatal mortality. The purpose of this study was to determine the most influential determinants of neonatal mortality in Indonesia. This research is an analytic observational study that uses the 2017 Indonesian Demographic and Health Survey (IDHS) data, with a cross-sectional design. This study’s population was the last baby of married women of childbearing age (15-49 years) and was recorded in the 2017 IDHS with a sample of 15,102 babies. The outcome variable in this study was neonatal mortality. The analysis was conducted in stages, namely univariate analysis, bivariate analysis using the chi-square statistical test (X2), and multivariate analysis using logistic regression. The results showed that 85.71% of deaths occurred in the early neonatal period. The most influential determinants of neonatal mortality were male sex (adj OR = 2.91: 95% CI 1.78-4.76), low birth weight (adj OR = 12.08: 95% CI 7.38-18.86) and parity status ≥ 4 (adj OR = 2.11: 95% CI 1.22-3.61). Public health interventions aimed at reducing neonatal mortality should be linked to newborn and maternal characteristics that significantly influence Indonesia's neonatal mortality. Therefore, health services must consider adequate postpartum neonatal care that is fully integrated with medical care. Moreover, further prevention of potential factors that cause low birth weight before conception should be implemented and further control of births would optimize the family planning program. Keywords: gender, low birth weight, parity status, determinant, neonatal mortality, Indonesia

scholarly journals Determinants of neonatal mortality in Nigeria: evidence from the 2008 demographic and health survey

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Osita Kingsley Ezeh ◽  
Kingsley Emwinyore Agho ◽  
Michael John Dibley ◽  
John Hall ◽  
Andrew Nicholas Page
Keyword(s):  
Neonatal Mortality ◽  
Health Survey ◽  
Demographic And Health Survey

scholarly journals Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Sue C. Grady ◽  
April N. Frake ◽  
Qiong Zhang ◽  
Matlhogonolo Bene ◽  
Demetrice R. Jordan ◽  
...  
Keyword(s):  
High Risk ◽  
West Africa ◽  
East Africa ◽  
Neonatal Mortality ◽  
Child Mortality ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Home Births ◽  
Under Five ◽  
Development Goals

Under-five child mortality declined 47% since 2000 following the implementation of the United Nation’s (UN) Millennium Development Goals. To further reduce under-five child mortality, the UN’s Sustainable Development Goals (SDGs) will focus on interventions to address neonatal mortality, a major contributor of under-five mortality. The African region has the highest neonatal mortality rate (28.0 per 1000 live births), followed by that of the Eastern Mediterranean (26.6) and South-East Asia (24.3). This study used the Demographic and Health Survey Birth Recode data (http://dhsprogram.com/data/File-Types-and-Names.cfm) to identify high-risk districts and countries for neonatal mortality in two sub-regions of Africa – East Africa and West Africa. Geographically weighted Poisson regression models were estimated to capture the spatially varying relationships between neonatal mortality and dimensions of potential need i) <em>care around the time of delivery</em>, ii) <em>maternal education</em>, and iii) <em>women’s empowerment</em>. In East Africa, neonatal mortality was significantly associated with home births, mothers without an education and mothers whose husbands decided on contraceptive practices, controlling for rural residency. In West Africa, neonatal mortality was also significantly associated with home births, mothers with a primary education and mothers who did not want or plan their last child. Importantly, neonatal mortality associated with home deliveries were explained by maternal exposure to unprotected water sources in East Africa and older maternal age and female sex of infants in West Africa. Future SDG-interventions may target these dimensions of need in priority high-risk districts and countries, to further reduce the burden of neonatal mortality in Africa.

scholarly journals Risk factor of neonatal mortality in Ethiopia: multilevel analysis of 2016 Demographic and Health Survey

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Setegn Muche Fenta ◽  
Hailegebrael Birhan Biresaw ◽  
Kenaw Derebe Fentaw
Keyword(s):  
Neonatal Mortality ◽  
Health Survey ◽  
Wealth Index ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Sub Saharan Africa ◽  
Multiple Birth ◽  
African Countries ◽  
Sub Saharan ◽  
Newborn Children

Abstract Background In sub-Saharan African countries, neonatal mortality rates remain unacceptably high. Ethiopia is one of the countries in Sub-Saharan Africa with the highest death rates of newborn children. Therefore, this study aimed to identify the risk factors associated with neonatal mortality in Ethiopia at the individual and community level. Methods The 2016 Ethiopian Demographic and Health Survey data was accessed and used for the analysis. A total of 2449 newborn children were included in the analysis. The multilevel logistic regression model was used to identify the significant factor of neonatal mortality. Adjusted odds ratio with a 95% confidence interval and p-value < 0.05 in the multilevel model was reported. Results A total of 2449 newborn children were included in this study. Multiple birth type (AOR = 3.18; 95% CI 2.78, 3.63), birth order of ≥ 5 (AOR = 2.15; 95% CI 1.75, 2.64), pre-term birth (AOR = 5.97; 95% CI 4.96, 7.20), no antenatal care (ANC) visit during pregnancy (AOR = 2.33; 95% CI 2.09, 2.61), not received TT injection during pregnancy (AOR = 2.28; 95% CI 1.92, 2.71), delivered at home (AOR = 1.99; 95% CI 1.48, 2.69), less than 24 months of preceding birth interval (AOR = 1.51; 95% CI 1.35,1.68), smaller birth size (AOR = 1.58; 95% CI 1.46, 1.71), never breastfeeding (AOR = 2.43; 95% CI 2.17, 2.72), poor wealth index (AOR = 1.29; 95% CI 1.17,1.41), non-educated mothers (AOR = 1.58; 95% CI 1.46, 1.71), non-educated fathers (AOR = 1.32; 95% CI 1.12, 1.54), rural residence (AOR = 2.71; 95% CI 2.23, 3.29), unprotected water source (AOR = 1.35; 95% CI 1.16, 1.58), and have no latrine facility (AOR = 1.78; 95% CI 1.50, 2.12) were associated with a higher risk of neonatal mortality. Neonates living in Amhara, Oromia, Somali, Harari, and Dire Dawa had a higher risk of neonatal mortality compared to Tigray. Moreover, the random effects result showed that about 85.57% of the variation in neonatal mortality was explained by individual- and community-level factors. Conclusions The findings suggest that attention be paid to education-based programs for mothers that would highlight the benefits of delivery care services, such as ANC visits, TT injections, and facility births. Meanwhile, public health initiatives should focus on expanding access to quality sanitation facilities, especially for latrines and drinking water that could improve neonatal health at the community-level as a whole.

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