Dataset Information

Risk factors of neonatal mortality and child mortality in Bangladesh.

ABSTRACT:

Background

Child and neonatal mortality is a serious problem in Bangladesh. The main objective of this study was to determine the most significant socio-economic factors (covariates) between the years 2011 and 2014 that influences on neonatal and child mortality and to further suggest the plausible policy proposals.

Methods

We modeled the neonatal and child mortality as categorical dependent variable (alive vs death of the child) while 16 covariates are used as independent variables using χ² statistic and multiple logistic regression (MLR) based on maximum likelihood estimate.

Findings

Using the MLR, for neonatal mortality, diarrhea showed the highest positive coefficient (β = 1.130; P < 0.010) leading to most significant covariate for both 2011 and 2014. The corresponding odds ratios were: 0.323 for both the years. The second most significant covariate in 2011 was birth order between 2-6 years (β = 0.744; P < 0.001), while father's education was negative correlation (β = -0.910; P < 0.050). In general, 10 covariates in 2011 and 5 covariates in 2014 were significant, so there was an improvement in socio-economic conditions for neonatal mortality. For child mortality, birth order between 2-6 years and 7 and above years showed the highest positive coefficients (β = 1.042; P < 0.010) and (β = 1.285; P < 0.050) for 2011. The corresponding odds ratios were: 2.835 and 3.614, respectively. Father's education showed the highest coefficient (β = 0.770; P < 0.050) indicating the significant covariate for 2014 and the corresponding odds ratio was 2.160. In general, 6 covariates in 2011 and 4 covariates in 2014 were also significant, so there was also an improvement in socio-economic conditions for child mortality. This study allows policy makers to make appropriate decisions to reduce neonatal and child mortality in Bangladesh.

Conclusions

In 2014, mother's age and father's education were also still significant covariates for child mortality. This study allows policy makers to make appropriate decisions to reduce neonatal and child mortality in Bangladesh.

SUBMITTER: Maniruzzaman M

PROVIDER: S-EPMC5928324 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

Risk factors of neonatal mortality and child mortality in Bangladesh.

Maniruzzaman Md M Suri Harman S HS Kumar Nishith N Abedin Md Menhazul MM Rahman Md Jahanur MJ El-Baz Ayman A Bhoot Makrand M Teji Jagjit S JS Suri Jasjit S JS

Journal of global health 20180601 1

<h4>Background</h4>Child and neonatal mortality is a serious problem in Bangladesh. The main objective of this study was to determine the most significant socio-economic factors (covariates) between the years 2011 and 2014 that influences on neonatal and child mortality and to further suggest the plausible policy proposals.<h4>Methods</h4>We modeled the neonatal and child mortality as categorical dependent variable (alive vs death of the child) while 16 covariates are used as independent variabl ...[more]

PMID: 29740501

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Project description:Objectives A disproportionate number of neonatal deaths occur in low/middle-income countries, with sepsis a leading contributor of mortality. In this study, we investigate risk factors for mortality in a cohort of high-risk hospitalised neonates in Botswana. Independent predictors for mortality for infants experiencing either a sepsis or a non-sepsis-related death are described. Methods This is a prospective observational cohort study with infants enrolled from July to October 2018 at the neonatal unit (NNU) of Princess Marina Hospital (PMH) in Gaborone, Botswana. Data on demographic, clinical and unit-specific variables were obtained. Neonates were followed to death or discharge, including transfer to another hospital. Death was determined to be infectious versus non-infectious based on primary diagnosis listed on day of death by lead clinician on duty. Results Our full cohort consisted of 229 patients. The overall death rate was 227 per 1000 live births, with cumulative proportion of deaths of 22.7% (n=47). Univariate analysis revealed that sepsis, extremely low birth weight (ELBW) status, hypoxic ischaemic encephalopathy, critical illness and infants born at home were associated with an increased risk of all-cause mortality. Our multivariate model revealed that critical illness (HR 3.07, 95% CI 1.56 to 6.03) and being born at home (HR 4.82, 95% CI 1.76 to 13.19) were independently associated with all-cause mortality. Low birth weight status was independently associated with a decreased risk of mortality (HR 0.24, 95% CI 0.11 to 0.53). There was a high burden of infection in the cohort with more than half of infants (140, 61.14%) diagnosed with sepsis at least once during their NNU admission. Approximately 20% (n=25) of infants with sepsis died before discharge. Our univariate subanalysis of the sepsis cohort revealed that ELBW and critical illness were associated with an increased risk of death. These findings persisted in the multivariate model with HR 3.60 (95% CI 1.11 to 11.71) and HR 2.39 (95% CI 1 to 5.77), respectively. Conclusions High rates of neonatal mortality were noted. Urgent interventions are needed to improve survival rates at PMH NNU and to prioritise care for critically ill infants at time of NNU admission, particularly those born at home and/or of ELBW.

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Dataset Information

Risk factors of neonatal mortality and child mortality in Bangladesh.

Background

Methods

Findings

Conclusions

Publications

Risk factors of neonatal mortality and child mortality in Bangladesh.

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