Rates and determinants of neonatal mortality in two rural sub-districts of Sylhet, Bangladesh

被引:19
作者
Al Kibria, Gulam Muhammed [1 ,2 ]
Khanam, Rasheda [3 ]
Mitre, Dipak Kumar [4 ]
Mahmud, Arif [3 ]
Begum, Nazma [3 ]
Moin, Syed Mamun Ibne [3 ]
Saha, Samir Kumar [5 ]
Baqui, Abdullah [3 ]
机构
[1] Univ Maryland, Dept Epidemiol & Publ Hlth, Baltimore, MD 21201 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD 21205 USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Int Ctr Maternal & Newborn Hlth, Baltimore, MD USA
[4] Independent Univ, Dhaka, Bangladesh
[5] Dhaka Shishu Hosp, Dept Microbiol, Dhaka, Bangladesh
基金
比尔及梅琳达.盖茨基金会;
关键词
LOW-BIRTH-WEIGHT; RISK-FACTORS; PERINATAL-MORTALITY; INFANTS; CARE; INTERVENTIONS; COUNTRIES; PROTOCOL; DEATHS; TRENDS;
D O I
10.1371/journal.pone.0206795
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Reducing neonatal mortality rate (NMR) is a challenge in many low- and middle-income countries including Bangladesh. In 2014, the estimated NMR in this country was 28 per 1,000 live births. This rate is higher in rural regions compared to the national average. Currently, Sylhet Division has the highest NMR in Bangladesh. Investigating rates and determinants of neonatal mortality in rural regions of this high-risk division is particularly important to implement evidence-based programs. This study examined rates and determinants of neonatal deaths in a large rural cohort in Sylhet Division. Methods We analyzed data from a multi-country cohort study, Aetiology of Neonatal Infections in South Asia. From November 2011 to December 2013, this study was conducted in two rural sub-districts in Sylhet Division. Community health workers followed 28,960 pregnant women and their newborns up to two months postpartum and collected data on pregnancy outcomes and newborns' survival status. The NMR was obtained by dividing total number of neonatal deaths with all studied newborns. Logistic regression was employed to calculate adjusted odds ratios (AORs) and 95% confidence intervals (Cis) for factors associated with neonatal mortality. Stata 14.0 was used for data analysis. Results This study analyzed data of 21,227 newborns. The NMR was 43.4 (95% CI: 39.3-48.0) per 1,000 live births (N = 922). Multivariable analysis showed that the odds of neonatal mortality were significantly higher among male newborns (AOR: 1.5, 95% CI: 1.2-1.8), babies born before 34 weeks of gestation (AOR: 5.0, 95% CI: 4.1-6.1), those who were twins or triplets (AOR: 6.2, 95% CI: 3.6-10.9), and first-born child (AOR: 2.9, 95% CI: 1.6-5.3). Additionally, maternal age 30-35 years (AOR: 1.4, 95% CI: 1.-1.8), history of child death (AOR: 1.6, 95% CI: 1.2-2.2), and delivery complications (AOR: 2.1, 95% CI: 1.6-2.6) had positive associations with neonatal deaths. Conclusion Public health programs in Bangladesh need to adopt a comprehensive strategy to address the individual, maternal, and intrapartum factors associated with neonatal mortality in rural regions. Interventions should aim to prioritize managing pre-term deliveries, first-born child, and delivery complications among pregnant women.
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页数:18
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