
pmid: 25972443
pmc: PMC4552925
Objective Understanding the causes of death is key to tackling the burden of three million annual neonatal deaths. Resource-poor settings lack effective vital registration systems for births, deaths and causes of death. We set out to describe cause-specific neonatal mortality in rural areas of Malawi, Bangladesh, Nepal and rural and urban India using verbal autopsy (VA) data. Design We prospectively recorded births, neonatal deaths and stillbirths in seven population surveillance sites. VAs were carried out to ascertain cause of death. We applied descriptive epidemiological techniques and the InterVA method to characterise the burden, timing and causes of neonatal mortality at each site. Results Analysis included 3772 neonatal deaths and 3256 stillbirths. Between 63% and 82% of neonatal deaths occurred in the first week of life, and males were more likely to die than females. Prematurity, birth asphyxia and infections accounted for most neonatal deaths, but important subnational and regional differences were observed. More than one-third of deaths in urban India were attributed to asphyxia, making it the leading cause of death in this setting. Conclusions Population-based VA methods can fill information gaps on the burden and causes of neonatal mortality in resource-poor and data-poor settings. Local data should be used to inform and monitor the implementation of interventions to improve newborn health. High rates of home births demand a particular focus on community interventions to improve hygienic delivery and essential newborn care.
Male, Malawi, Epidemiology, Economics, Malawi/epidemiology, Neonatal death, Health Professions, FOS: Health sciences, Infant mortality, Pediatrics, Health Information Management, Pregnancy, Cause of Death, Infant Mortality, Prospective Studies, Global Maternal and Child Health Outcomes, Measurement, Bangladesh, Nutrition and Dietetics, Data Collection, Population Surveillance/methods, Maternal Mortality, Environmental health, Population Surveillance, Child Mortality, Medicine, Autopsy/methods, Female, Autopsy, Child mortality, Nepal/epidemiology, Population, 610, India, Nursing, Global Child Health, 618, Fetus, Nepal, Health Sciences, Patterns and Outcomes of Healthcare Admissions and Policies, Genetics, Humans, Mortality, Sex Distribution, Biology, Bangladesh/epidemiology, Neonatal mortality, Maternal and Child Nutrition in Developing Countries, Infant, India/epidemiology, Socioeconomics, FOS: Biological sciences, Pediatrics, Perinatology and Child Health, Neonatology
Male, Malawi, Epidemiology, Economics, Malawi/epidemiology, Neonatal death, Health Professions, FOS: Health sciences, Infant mortality, Pediatrics, Health Information Management, Pregnancy, Cause of Death, Infant Mortality, Prospective Studies, Global Maternal and Child Health Outcomes, Measurement, Bangladesh, Nutrition and Dietetics, Data Collection, Population Surveillance/methods, Maternal Mortality, Environmental health, Population Surveillance, Child Mortality, Medicine, Autopsy/methods, Female, Autopsy, Child mortality, Nepal/epidemiology, Population, 610, India, Nursing, Global Child Health, 618, Fetus, Nepal, Health Sciences, Patterns and Outcomes of Healthcare Admissions and Policies, Genetics, Humans, Mortality, Sex Distribution, Biology, Bangladesh/epidemiology, Neonatal mortality, Maternal and Child Nutrition in Developing Countries, Infant, India/epidemiology, Socioeconomics, FOS: Biological sciences, Pediatrics, Perinatology and Child Health, Neonatology
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