scholarly journals Service Quality beyond Access: A Multilevel Analysis of Neonatal, Infant, and Under-Five Child Mortality Using the Indian Demographic and Health Survey 2015~2016

2018 ◽  
Vol 15 (2) ◽  
pp. 49 ◽  
Author(s):  
Rockli Kim ◽  
Narshil Choi ◽  
S. V. Subramanian ◽  
Juhwan Oh
2021 ◽  
Author(s):  
Juwel Rana ◽  
Md Nuruzzaman Khan ◽  
Rakibul M Islam ◽  
Razia Aliani ◽  
Youssef Oulhote

Abstract Background: Household air pollution (HAP) from solid fuel use (SFU) for cooking has been considered a public health threat, particularly for women and children in low and middle-income countries (LMICs), with limited evidence. This study was undertaken to investigate the effects of HAP on neonatal, infant, and under-five child mortality in Myanmar. Methods: This cross-sectional study employed data from the Myanmar Demographic and Health Survey (MDHS), the first nationally representative survey conducted in 2016. Data were collected from MDHS based on stratified two-stage cluster sampling design applied in urban and rural areas. The sample consists of 3249 under-five children in the household with a 98% response rate. Exposure measures were HAP (coal and biomass) and level of exposure to HAP (no exposure, moderate and high exposure). The main outcomes were neonatal, infant, and under-five child mortality reported by mothers presented in rates and risk ratios with 95% confidence intervals, accounting for survey weight and cluster variation. Results: The prevalence of SFU was 79.0%. The neonatal, infant and under-five child mortality rates were 26, 45, and 49 per 1,000 live births, respectively. The risks of infant (aRR 2.02; 95% CI: 1.01-4.05) and under-five mortality (aRR 2.16; 95% CI: 1.07-4.36) mortality were higher among children from households with SFU compared to children from households using clean fuel. When applying an augmented measure of exposure to HAP by incorporating SFU and the kitchen's location, the likelihoods of infant and under-five mortality were even higher among moderate and highly exposed children than unexposed children with similar trends. Neonatal mortality was not associated with either HAP exposure or levels of exposure to HAP.Conclusion: Infants and under-five children are at higher risk of mortality from exposure to HAP. Increasing access to cookstoves and clean fuels is imperative to reduce the risk of infant and under-five child mortality in LMICs, including Myanmar.


2020 ◽  
Author(s):  
Mesfin Wudu Kassaw ◽  
Aele Mamo ◽  
Biruk Abate ◽  
Ayelign Kassie ◽  
Seteamlak Masresha

Abstract Objective: The aim of this study was to assess the prevalence and association of child mortality in the pastoralist regions of Ethiopia. The study is a further analysis from 2016 Ethiopian Demographic and Health Survey data. Results: The prevalence of under-five child mortality in the pastoralist’s regions was 23.2%, 95%CI (21.4%, 24.6%). The prevalence of mortality among daughters was 15.4%, 95%CI (14.2, 16.6%), and sons 16.8%, 95%CI (15.6, 18.1%).In logistic regression, wealth index, head of household, Khat chewing, type of child birth, husband education, and child age in months were associated with under-five mortality irrespective of the deceased children’s gender. The prevalence of under-five child mortality in the pastoralist regions of Ethiopia was high, which was far highest in relative to the national under-five mortality prevalence. In assessing the effect of variables on under-five child mortality by gender, almost all the variables that have an effect on female or male child are similar. The government should emphasize on the pastoralists’ regions to decrease the high prevalence of under-five child mortality.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Solomon Gebretsadik ◽  
Emmanuel Gabreyohannes

The study was a secondary analysis of existing data from the 2011 Ethiopia Demographic and Health Survey data. Of the 2097 live births recorded in Affar, Somali, Benishangul-Gumuz, and Gambela regions of Ethiopia between 2006 and 2011, 366 deaths before the age of five years were reported. The univariable and multivariable Cox proportional regression models were fitted to select the factors affecting under-five mortality in these regions. The model revealed that under-five mortality significantly associated with preceding birth interval, family size, birth type, breastfeeding status, source of drinking water, and income of mother. Children born after a preceding birth interval of 2-3 years and 3 years and above were significantly less likely to have died before their fifth birthday than those born within two years. Children who were breastfed, for any period, were 25.5% (HR 1.255, 1.005–1.567, p = 0.045) less likely to have died before their fifth birthday than those who were not breastfed. Increased birth interval time corresponds to a low probability of child mortality. Thus, mothers should be encouraged to wait for a sufficient number of months after a birth to conceive another child. Furthermore, breastfeeding was of paramount importance in the fight against child mortality.


2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Sue C. Grady ◽  
April N. Frake ◽  
Qiong Zhang ◽  
Matlhogonolo Bene ◽  
Demetrice R. Jordan ◽  
...  

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.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Justice Moses K. Aheto ◽  
Robert Yankson ◽  
Michael Give Chipeta

Abstract Background Under-five mortality (U5M) rates are among the health indicators of utmost importance globally. It is the goal 3 target 2.1 of the Sustainable Development Goals that is expected to be reduced to at least 25 per 1000 livebirths by 2030. Despite a considerable reduction in U5M observed globally, several countries especially those in sub-Saharan Africa (SSA) like Ghana are struggling to meet this target. Evidence-based targeting and utilization of the available limited public health resources are critical for effective design of intervention strategies that will enhance under-five child survival. We aimed to estimate and map U5M risk, with the ultimate goal of identifying communities at high risk where interventions and further research can be targeted. Methods The 2014 Ghana Demographic and Health Survey data was used in this study. Geostatistical analyses were conducted on 5884 children residing in 423 geographical clusters. The outcome variable is child survival status (alive or dead). We employed a geostatistical generalised linear mixed model to investigate both measured and unmeasured child specific and spatial risk factors for child survival. We then visualise child mortality by mapping the predictive probability of survival. Results Of the total sampled under 5 children, 289 (4.91%) experienced the outcome of interest. Children born as multiple births were at increased risk of mortality with an adjusted odds ratio (aOR) (aOR: 8.2532, 95% CI: [5.2608–12.9477]) compared to singletons. Maternal age increased risk of mortality (aOR: 1.0325, 95% CI: [1.0128–1.0527]). Child’s age (aOR: 0.2277, 95% CI: [0.1870–0.2771]) and number of children under 5 within each household (aOR: 0.3166, 95% CI: [0.2614–0.3835]) were shown to have a protective effect. Additionally, mothers with secondary education level (aOR: 0.6258, 95% CI: [0.4298–0.9114]) decreased the risk of U5M. The predicted U5M risk in 2014 was at 5.98%. Substantial residual spatial variations were observed in U5M. Conclusion The analysis found that multiple births is highly associated with increased U5M in Ghana. The high-resolution maps show areas and communities where interventions and further research for U5M can be prioritised to have health impact.


2019 ◽  
Author(s):  
Juwel Rana ◽  
Md Nuruzzaman Khan ◽  
Razia Aliani ◽  
Rakibul M Islam

AbstractBackgroundIndoor air pollution (IAP) from solid fuels for cooking has been considered as a public health threat, particularly for women and children in low- and lower-middle-income countries (LMICs). We investigated the effects of solid fuel use (SFU) on neonatal, infant and under-five child mortality in Myanmar.Materials and MethodsWe used data from Myanmar’s first Demographic and Health Survey conducted in 2016. The sample consists of ever-married mothers with under-five children in the household (n=3249). We calculated the adjusted odds ratio (aOR) to investigate the effects of SFU on neonatal, infant, and under-five mortality using multivariable logistic regression model accounting for survey weight and clustering. Additional analysis was conducted using an augmented measure of the exposure to IAP accounting for both SFU and the location of cooking (high exposure, moderate, and unexposed).ResultsThe prevalence of SFU was 79.0%, and the neonatal, infant and the under-five mortality rates were 26, 45 and 49 per 1,000 live births, respectively. The odds of infant (aOR 2.17, 95% CI: 1.21, 3.88) and under-five child mortality (aOR 2.22, 95% CI: 1.24, 3.95) were higher in households with SFU compared with households with clean fuel use. When applying an augmented measure of exposure to IAP by incorporating both SFU and the kitchen’s location, the likelihood of infant and under-five mortality was higher among moderately and highly exposed children compared to unexposed children with similar trends. Neonatal mortality was not associated with both SFU and levels of exposure to IAP.ConclusionInfants and under-five children are at higher risk of mortality from exposure to IAP. The findings suggest that the risk of infants and under-five child mortality may be reduced by increasing access to clean cookstoves and clean fuels in LMICs, especially in Myanmar.


2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Mukemil Awol ◽  
Zewdie Aderaw Alemu ◽  
Nurilign Abebe Moges ◽  
Kemal Jemal

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.


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