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      When do newborns die? A systematic review of timing of overall and cause-specific neonatal deaths in developing countries

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          Abstract

          About 99% of neonatal deaths occur in low- and middle-income countries. There is a paucity of information on the exact timing of neonatal deaths in these settings. The objective of this review was to determine the timing of overall and cause-specific neonatal deaths in developing country settings. We searched MEDLINE via PubMed, Cochrane CENTRAL, WHOLIS and CABI using sensitive search strategies. Searches were limited to studies involving humans published in the last 10 years. A total of 22 studies were included in the review. Pooled results indicate that about 62% of the total neonatal deaths occurred during the first 3 days of life; the first day alone accounted for two-thirds. Almost all asphyxia-related and the majority of prematurity- and malformation-related deaths occurred in the first week of life (98%, 83% and 78%, respectively). Only one-half of sepsis-related deaths occurred in the first week while one-quarter occurred in each of the second and third to fourth weeks of life. The distribution of both overall and cause-specific mortality did not differ greatly between Asia and Africa. The first 3 days after birth account for about 30% of under-five child deaths. The first week of life accounts for most of asphyxia-, prematurity- and malformation-related mortality and one-half of sepsis-related deaths.

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          India's Janani Suraksha Yojana, a conditional cash transfer programme to increase births in health facilities: an impact evaluation.

          Stephen Lim, Lalit Dandona, Joseph Hoisington … (2010)
          In 2005, with the goal of reducing the numbers of maternal and neonatal deaths, the Government of India launched Janani Suraksha Yojana (JSY), a conditional cash transfer scheme, to incentivise women to give birth in a health facility. We independently assessed the effect of JSY on intervention coverage and health outcomes. We used data from the nationwide district-level household surveys done in 2002-04 and 2007-09 to assess receipt of financial assistance from JSY as a function of socioeconomic and demographic characteristics; and used three analytical approaches (matching, with-versus-without comparison, and differences in differences) to assess the effect of JSY on antenatal care, in-facility births, and perinatal, neonatal, and maternal deaths. Implementation of JSY in 2007-08 was highly variable by state-from less than 5% to 44% of women giving birth receiving cash payments from JSY. The poorest and least educated women did not always have the highest odds of receiving JSY payments. JSY had a significant effect on increasing antenatal care and in-facility births. In the matching analysis, JSY payment was associated with a reduction of 3.7 (95% CI 2.2-5.2) perinatal deaths per 1000 pregnancies and 2.3 (0.9-3.7) neonatal deaths per 1000 livebirths. In the with-versus-without comparison, the reductions were 4.1 (2.5-5.7) perinatal deaths per 1000 pregnancies and 2.4 (0.7-4.1) neonatal deaths per 1000 livebirths. The findings of this assessment are encouraging, but they also emphasise the need for improved targeting of the poorest women and attention to quality of obstetric care in health facilities. Continued independent monitoring and evaluations are important to measure the effect of JSY as financial and political commitment to the programme intensifies. Bill & Melinda Gates Foundation. Copyright 2010 Elsevier Ltd. All rights reserved.
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            Using the three delays model to understand why newborn babies die in eastern Uganda.

            Karin Källander, Stefan Peterson, Göran Tomson … (2010)
            To investigate causes of and contributors to newborn deaths in eastern Uganda using a three delays audit approach. Methods Data collected on 64 neonatal deaths from a demographic surveillance site were coded for causes of deaths using a hierarchical model and analysed using a modified three delays model to determine contributing delays. A survey was conducted in 16 health facilities to determine capacity for newborn care. Of the newborn babies, 33% died in a hospital/health centre, 13% in a private clinic and 54% died away from a health facility. 47% of the deaths occurred on the day of birth and 78% in the first week. Major contributing delays to newborn death were caretaker delay in problem recognition or in deciding to seek care (50%, 32/64); delay to receive quality care at a health facility (30%; 19/64); and transport delay (20%; 13/64). The median time to seeking care outside the home was 3 days from onset of illness (IQR 1-6). The leading causes of death were sepsis or pneumonia (31%), birth asphyxia (30%) and preterm birth (25%). Health facilities did not have capacity for newborn care, and health workers had correct knowledge on only 31% of the survey questions related to newborn care. Household and health facility-related delays were the major contributors to newborn deaths, and efforts to improve newborn survival need to address both concurrently. Understanding why newborn babies die can be improved by using the three delays model, originally developed for understanding maternal death.
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              Estimating the causes of 4 million neonatal deaths in the year 2000.

              Katarzyna Wilczynska, Joy E. Lawn, S N Cousens (2006)
              Information on cause-of-death is lacking for 98% of the world's 4 million neonatal deaths that occur in countries with inadequate vital registration (VR). Our aim was to estimate, by country for the year 2000, the distribution of neonatal deaths across programme-relevant causes including: asphyxia, preterm birth, congenital abnormalities, sepsis/pneumonia, neonatal tetanus, diarrhoea, and 'other'. Two sources of neonatal cause-of-death data were examined: VR datasets for countries with high coverage (>90%), and published and unpublished studies identified through systematic searches. Multinomial regression was used to model the distribution of neonatal deaths. A VR-based model was used to estimate the distribution of causes of death for 37 low-mortality countries without national data. A study-based model was applied to obtain estimates for 111 high-mortality countries. Uncertainty estimates were derived using the jackknife approach. Data from 44 countries with VR (96 797 neonatal deaths) and from 56 studies (29 countries, 13 685 neonatal deaths) met inclusion criteria. The distribution of reported causes of death varied substantially between countries and across studies. Based on 193 countries, the major causes of neonatal death globally were estimated to be infections (sepsis/pneumonia, tetanus, and diarrhoea, 35%), preterm birth (28%), and asphyxia (23%). Regional variation is important. Substantial uncertainty surrounds these estimates. This exercise highlights the lack of reliable cause-of-death data in the settings in which most neonatal deaths occur. Complex statistical models are not a panacea. Representative data with comparable case definitions and consistent hierarchical cause-of-death attribution are required.
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Perinatol
                Journal ID (iso-abbrev): J Perinatol
                Title: Journal of Perinatology
                Publisher: Nature Publishing Group
                ISSN (Print): 0743-8346
                ISSN (Electronic): 1476-5543
                Publication date (Print): May 2016
                Publication date (Electronic): 25 April 2016
                Volume: 36
                Issue: Suppl 1
                Pages: S1-S11
                Affiliations
                [1 ]Newborn Health Knowledge Centre (NHKC), ICMR Center for Advanced Research in Newborn Health, WHO Collaborating Centre for Training and Research in Newborn Care, Department of Pediatrics, All India Institute of Medical Sciences , New Delhi, India
                Author notes
                [* ]Department of Pediatrics, All India Institute of Medical Sciences , Ansari Nagar, New Delhi 110029, India. E-mail: vinodkpaul@ 123456gmail.com
                Article
                Publisher Item ID: jp201627
                DOI: 10.1038/jp.2016.27
                PMC ID: 4848744
                PubMed ID: 27109087
                SO-VID: 6208d733-f2fc-4159-b20c-793e5a2396ae
                Copyright © Copyright © 2016 Nature America, Inc.
                License:

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                Date received : 03 November 2015
                Date revision received : 02 December 2015
                Date accepted : 03 December 2015
                Categories
                Subject: Systematic Review

                ScienceOpen disciplines: Pediatrics
                Data availability:
                ScienceOpen disciplines: Pediatrics

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