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Factors associated with under-five mortality in Bhutan: an analysis of the Bhutan National Health Survey 2012.

ABSTRACT: BACKGROUND:As an important marker for health equity and access, under-five mortality (UFM) is a primary measure for socioeconomic development. The importance of reducing UFM has been further emphasized in an ambitious target under Sustainable Development Goals. The factors influencing UFM are not adequately understood in Bhutan. METHODS:The most recent dataset of the Bhutan National Health Survey (BNHS) 2012 was used in this study. Multiple logistic regression analysis using a backwards elimination approach was performed to identify significant factors influencing UFM. All statistical analyses were adjusted for the complex study design due to the multistage stratified cluster sampling used in BNHS. RESULTS:Bhutan's UFM rate was 37 per 1000 live births. The weighted mean age of the children was 7.3?years (SD: 1.53; range: 3-12). Mother's age, household size, access to electricity and sanitation, residential region, and parity were the key factors associated with UFM. The UFM risk was significantly lower in children born to mothers aged 36-40?years, 41-45?years, and?>?45?years when compared to that in children born to mothers aged ?5 members. Children born in households without electricity and safe sanitation had a significantly higher risk of death, by 81 and 49% respectively. Relative to those born in the west, children born in the central and eastern regions were 1.72 (95% CI: 1.07-2.77) and 2.09 (95% CI: 1.46-2.99) times more likely to die, respectively. Children born to mothers who gave birth to >?2 children were significantly more likely to die than their counterparts. CONCLUSION:These findings suggest that younger mother's age, the higher number of births and being born in the central and eastern regions are associated with a higher UFM risk, whereas a larger household size and access to electricity and safe sanitation are key factors associated with lower UFM risk in Bhutan. Women empowerment, health education and strategies promoting maternal and child health in rural areas need to be scaled-up. Additionally, socioeconomic development programs should seek to reduce regional disparities.

SUBMITTER: Dendup T

PROVIDER: S-EPMC6296032 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Factors associated with under-five mortality in Bhutan: an analysis of the Bhutan National Health Survey 2012.

Dendup Tashi T Zhao Yun Y Dema Deki D

BMC public health 20181217 1

<h4>Background</h4>As an important marker for health equity and access, under-five mortality (UFM) is a primary measure for socioeconomic development. The importance of reducing UFM has been further emphasized in an ambitious target under Sustainable Development Goals. The factors influencing UFM are not adequately understood in Bhutan.<h4>Methods</h4>The most recent dataset of the Bhutan National Health Survey (BNHS) 2012 was used in this study. Multiple logistic regression analysis using a bac ...[more]

PMID: 30558601

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Project description:BackgroundUnder-five mortality refers to the likelihood of dying between the ages of birth and five. The number of children under the age of five who die each year continues to climb worldwide. Over the previous few decades, the industry has made great progress in reducing mortality among children under the age of five. The study aims to identify the factors associated with under-five mortality in Ethiopia.Subject and methodCommunity-based Cross-sectional data came from Ethiopia's Mini Demographic and Health Survey 2019. In two stages, the 2019 EMDHS sample was stratified and selected. 8855 women of reproductive age were interviewed using a nationally representative Woman (ages 15 to 49) and 5753 children were included. Ethiopia's under-five mortality served as the study's dependent (response) or outcome variable. Binary logistic regression was used to see if there is an association between the dependent and independent variables. All variables with a p-value of less than 0.25 in the bivariate analysis were chosen for the multivariable logistic regression to compensate for putative confounders. Significant predictors were defined as factors with a p-value of less than 0.05.ResultsA total of 5753 under-5 mortality were enrolled in this study. 339 (5.9%) of under-five Mortality have been declared lifeless before reaching the age of five. There were 1328(23.1%) and 4425(76.1%) with 72 (5.42%) and 267 (6.02%) of under-five mortality occurring in urban and rural respectively. Under-five mortality in the Afar region was 2.280 times more likely Compared to Children born in Tigray Region (AOR = 2.280 95% CI = 1.137-4.568, P = .020). Under-five Mortality in Rural residences was 1.908 times more likely as Compared to Urban Residence (AOR = 1.908, 95% CI = 1.257-4.539, P = .035). Under-five mortality in Poorer index Households was 0.343 times Less likely as compared to children born in the poorest index Household (AOR = 0.343,95% CI = 0.128-0.910, P = ). Under-five mortality in the public sector was 1.763 times less likely than among children born at Home (AOR = 1.763, 95% CI = 1.252-2.482, P = .033). Under-five Mortality of second multiple births was 2.389 times more likely Compared to Single birth (AOR = 2.389, 95% CI = 1.257-4.539, P = .008).ConclusionThis study found that the prevalence of under-five mortality, is 5.9% (59/1000) or 59 death per one thousand live children in Ethiopia. The under-five mortality rate is rapidly declining, and access to and utilization of health care is improving. Region, residence, level of education, wealth index, Place of Delivery and multiple births have all been statistically significant factors of under-five mortality in Ethiopia. The government and all stockholders should be given attention to maternal and infant health care to reduce under-five mortality.

Project description:BackgroundIn the year 2019, around 5 million children under age five died and most of the deaths happened in developing countries. Though large numbers of deaths are reported in such countries, limited availability of data poses a substantial challenge on generating reliable estimates. Hence, this study aims to assess the prevalence and factors associated with under-five mortality in southeastern Ethiopia.MethodsA register based cross sectional study was conducted from 1st September 2014 to July 2019 in Asella teaching and referral hospital. A total of 4901 under-five age children registered on the admission and discharge book of pediatric ward with complete information were included for the analysis. Data entry and analysis were conducted using Epidata Version 7 and SPSS version 21, respectively. Descriptive statistics were used to explore the characteristics of the study participants and their condition at discharge. Adjusted Odds Ratio (AOR) with its 95% Confidence interval and P-value less than 5% was used to decide the statistically significant association.ResultsThe prevalence of under-five mortality among admitted children in Asella Teaching and Referral hospital was 8.7% (95% CI 7.91-9.50%). Post-Neonatal and Child mortality were found to be 9.1% and 8.18%, respectively. Moreover, large numbers of death (45.2%) were seen within the first 2 days of admission. Address (AOR:1.4(1.08-1.81)), HIV status (AOR:4.64 (2.19-9.8)), severe acute malnutrition (AOR:2.82 (2.03-3.91)), hypovolemic shock (AOR:4.32 (2.31-8.1)), type I diabetes with DKA (AOR:3.53(1.34-9.29) and length of stay in the hospital for ≤2 days (AOR: 4.28 (3.09-5.95)) as well as 3-4 days (AOR: 1.48 (1.02-2.15)) were among the identified predictors.ConclusionsThough childhood mortality is swiftly decreasing, and access and utilization of health care is improving in Ethiopia, our study found large prevalence of under-five mortality, 8.7% and higher number of deaths in early days of admission. Improving the quality of service has a paramount importance in reducing the mortality and managing associated factors contributing to under-five mortality among admitted children.

Project description:BackgroundThe distribution of under-five mortality (U5M) worldwide is uneven and the burden is higher in Sub-Saharan African countries, which account for more than 53% of the global under-five mortality. In Ethiopia, though U5M decreased substantially between 1990 and 2019, it remains excessively high and unevenly distributed. Therefore, this study aimed to assess geographic variation and factors associated with under-five mortality (U5M) in Ethiopia.MethodsWe sourced data from the most recent nationally representative 2019 Ethiopian Mini-Demographic and Health Survey for this study. A sample size of 5,695 total births was considered. Descriptive, analytical analysis and spatial analysis were conducted using STATA version 16. Both multilevel and spatial analyses were employed to ascertain the factors associated with U5M in Ethiopia.ResultsThe U5M was 5.9% with a 95% CI 5.4% to 6.6%. Based on the multivariable multilevel logistic regression model results, the following characteristics were associated with under-five mortality: family size (AOR = 0.92, 95% CI: 0.84,0.99), number of under-five children in the family (AOR = 0.17, 95% CI: 0.14, 0.21), multiple birth (AOR = 14.4, 95% CI: 8.5, 24.3), children who were breastfed for less than 6 months (AOR = 5.04, 95% CI: 3.81, 6.67), people whose main roof is palm (AOR = 0.57, 95% CI: 0.34, 0.96), under-five children who are the sixth or more child to be born (AOR = 2.46, 95% CI: 1.49, 4.06), institutional delivery (AOR = 0.57, 95% CI: 0.41, 0.81), resident of Somali and Afar region (AOR = 3.46, 95% CI: 1.58, 7.55) and (AOR = 2.54, 95% CI: 1.10, 5.85), respectively. Spatial analysis revealed that hot spot areas of under-five mortality were located in the Dire Dawa and Somali regions.ConclusionUnder-five mortality in Ethiopia is high and unacceptable when compared to the 2030 sustainable development target, which aims for 25 per 1000 live births. Breastfeeding for less than 6 months, twin births, institutional delivery and high-risk areas of under-five mortality (Somali and Dire Dawa) are modifiable risk factors. Therefore, maternal and community education on the advantages of breastfeeding and institutional delivery is highly recommended. Women who deliver twins should be given special attention. An effective strategy should be designed for intervention in under-five mortality hot spot areas such as Somali and Dire Dawa.

Project description:BackgroundRural parts of Mali carry a disproportionate burden of the country's high under-five mortality rate. A range of household factors are associated with poor under-five health in resource-limited settings. However, it is unknown which most influence the under-five mortality rate in rural Mali. We aimed to describe household factors associated with under-five mortality in Bankass, a remote region in central Mali.MethodsWe analysed baseline household survey data from a trial being conducted in Bankass. The survey was administered to households between December 2016 and January 2017. Under-five deaths in the five years prior to baseline were documented along with detailed information on household factors and women's birth histories. Factors associated with under-five mortality were analysed using Cox regression.ResultsOur study population comprised of 17,408 under-five children from 8322 households. In the five years prior to baseline, the under-five mortality rate was 152.6 per 1000 live births (158.8 and 146.0 per 1000 live births for males and females, respectively). Living a greater distance from a primary health center was associated with a higher probability of under-five mortality for both males (adjusted hazard ratio [aHR] 1.53 for ?10?km versus <?2?km, 95% confidence interval [CI] 1.25-1.88) and females (aHR 1.59 for ?10?km versus <?2?km, 95% CI 1.27-1.99). Under-five male mortality was additionally associated with lower household wealth quintile (aHR 1.47 for poorest versus wealthiest, 95%CI 1.21-1.78), lower reading ability among women of reproductive age in the household (aHR 1.73 for cannot read versus can read, 95%CI 1.04-2.86), and living in a household with access to electricity (aHR 1.16 for access versus no access, 95%CI 1.00-1.34).ConclusionsU5 mortality is very high in Bankass and is associated with living a greater distance from healthcare and several other household factors that may be amenable to intervention or facilitate program targeting.

Dataset Information

Factors associated with under-five mortality in Bhutan: an analysis of the Bhutan National Health Survey 2012.

Publications

Factors associated with under-five mortality in Bhutan: an analysis of the Bhutan National Health Survey 2012.

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