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      State of newborn health in India

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          Abstract

          About 0.75 million neonates die every year in India, the highest for any country in the world. The neonatal mortality rate (NMR) declined from 52 per 1000 live births in 1990 to 28 per 1000 live births in 2013, but the rate of decline has been slow and lags behind that of infant and under-five child mortality rates. The slower decline has led to increasing contribution of neonatal mortality to infant and under-five mortality. Among neonatal deaths, the rate of decline in early neonatal mortality rate (ENMR) is much lower than that of late NMR. The high level and slow decline in early NMR are also reflected in a high and stagnant perinatal mortality rate. The rate of decline in NMR, and to an extent ENMR, has accelerated with the introduction of National Rural Health Mission in mid-2005. Almost all states have witnessed this phenomenon, but there is still a huge disparity in NMR between and even within the states. The disparity is further compounded by rural–urban, poor–rich and gender differentials. There is an interplay of different demographic, educational, socioeconomic, biological and care-seeking factors, which are responsible for the differentials and the high burden of neonatal mortality. Addressing inequity in India is an important cross-cutting action that will reduce newborn mortality.

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

          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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            Utilization of maternal health care services in Southern India.

            This paper examines the patterns and determinants of maternal health care utilization across different social settings in South India: in the states of Andhra Pradesh, Karnataka, Kerala and Tamil Nadu. Data from the National Family Health Survey (NFHS) carried out during 1992-93 across most states in India are used. Results show that utilization of maternal health care services is highest in Kerala followed by Tamil Nadu, Andhra Pradesh and Karnataka. Utilization of maternal health care services is not only associated with a range of reproductive, socio-economic, cultural and program factors but also with state and type of health service. The interstate differences in utilization could be partly due to variations in the implementation of maternal health care program as well as differences in availability and accessibility between the states. In the case of antenatal care, there was no significant rural-urban gap, thanks to the role played by the multipurpose health workers posted in the rural areas to provide maternal health care services. The findings of this study provide insights for planning and implementing appropriate maternal health service delivery programs in order to improve the health and well-being of both mother and child.
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              Causes of neonatal and child mortality in India: a nationally representative mortality survey.

              More than 2·3 million children died in India in 2005; however, the major causes of death have not been measured in the country. We investigated the causes of neonatal and child mortality in India and their differences by sex and region. The Registrar General of India surveyed all deaths occurring in 2001-03 in 1·1 million nationally representative homes. Field staff interviewed household members and completed standard questions about events that preceded the death. Two of 130 physicians then independently assigned a cause to each death. Cause-specific mortality rates for 2005 were calculated nationally and for the six regions by combining the recorded proportions for each cause in the neonatal deaths and deaths at ages 1-59 months in the study with population and death totals from the United Nations. There were 10,892 deaths in neonates and 12,260 in children aged 1-59 months in the study. When these details were projected nationally, three causes accounted for 78% (0·79 million of 1·01 million) of all neonatal deaths: prematurity and low birthweight (0·33 million, 99% CI 0·31 million to 0·35 million), neonatal infections (0·27 million, 0·25 million to 0·29 million), and birth asphyxia and birth trauma (0·19 million, 0·18 million to 0·21 million). Two causes accounted for 50% (0·67 million of 1·34 million) of all deaths at 1-59 months: pneumonia (0·37 million, 0·35 million to 0·39 million) and diarrhoeal diseases (0·30 million, 0·28 million to 0·32 million). In children aged 1-59 months, girls in central India had a five-times higher mortality rate (per 1000 livebirths) from pneumonia (20·9, 19·4-22·6) than did boys in south India (4·1, 3·0-5·6) and four-times higher mortality rate from diarrhoeal disease (17·7, 16·2-19·3) than did boys in west India (4·1, 3·0-5·5). Five avoidable causes accounted for nearly 1·5 million child deaths in India in 2005, with substantial differences between regions and sexes. Expanded neonatal and intrapartum care, case management of diarrhoea and pneumonia, and addition of new vaccines to immunisation programmes could substantially reduce child deaths in India. US National Institutes of Health, International Development Research Centre, Canadian Institutes of Health Research, Li Ka Shing Knowledge Institute, and US Fund for UNICEF. Copyright © 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                J Perinatol
                J Perinatol
                Journal of Perinatology
                Nature Publishing Group
                0743-8346
                1476-5543
                December 2016
                07 December 2016
                : 36
                : Suppl 3
                : S3-S8
                Affiliations
                [1 ]Department of Pediatrics, All India Institute of Medical Sciences , New Delhi, India
                [2 ]Indian Institute of Public Health (Delhi), Public Health Foundation of India , Delhi, India
                [3 ]Ministry of Health and Family Welfare, Government of India , 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
                jp2016183
                10.1038/jp.2016.183
                5144119
                27924104
                f28ec9e4-3650-4027-81fa-1dc61b34e8a8
                Copyright © 2016 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 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-nd/4.0/

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