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      Socio-Economic Inequalities in the Use of Postnatal Care in India

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          Abstract

          Objectives

          First, our objective was to estimate socio-economic inequalities in the use of postnatal care (PNC) compared with those in the use of care at birth and antenatal care. Second, we wanted to compare inequalities in the use of PNC between facility births and home births and to determine inequalities in the use of PNC among mothers with high-risk births.

          Methods and Findings

          Rich–poor ratios and concentration indices for maternity care were estimated using the third round of the District Level Household Survey conducted in India in 2007–08. Binary logistic regression models were used to examine the socio-economic inequalities associated with use of PNC after adjusting for relevant socio-economic and demographic characteristics. PNC for both mothers and newborns was substantially lower than the care received during pregnancy and child birth. Only 44% of mothers in India at the time of survey received any care within 48 hours after birth. Likewise, only 45% of newborns received check-up within 24 hours of birth. Mothers who had home births were significantly less likely to have received PNC than those who had facility births, with significant differences across the socio-economic strata. Moreover, the rich-poor gap in PNC use was significantly wider for mothers with birth complications.

          Conclusions

          PNC use has been unacceptably low in India given the risks of mortality for mothers and babies shortly after birth. However, there is evidence to suggest that effective use of pregnancy and childbirth care in health facilities led to better PNC. There are also significant socio-economic inequalities in access to PNC even for those accessing facility-based care. The coverage of essential PNC is inadequate, especially for mothers from economically disadvantaged households. The findings suggest the need for strengthening PNC services to keep pace with advances in coverage for care at birth and prenatal services in India through targeted policy interventions.

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          Most cited references53

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          Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

          Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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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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              Measuring living standards with proxy variables.

              Very few demographic surveys in developing countries have gathered information on household incomes or consumption expenditures. Researchers interested in living standards therefore have had little alternative but to rely on simple proxy indicators. The properties of these proxies have not been analyzed systematically. We ask what hypotheses can be tested using proxies, and compare these indicators with consumption expenditures per adult, our preferred measure of living standards. We find that the proxies employed in much demographic research are very weak predictors of consumption per adult. Nevertheless, hypothesis tests based on proxies are likely to be powerful enough to warrant consideration.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 May 2012
                : 7
                : 5
                : e37037
                Affiliations
                [1 ]Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India
                [2 ]Centre for Global Health, Population, Poverty and Policy and Division of Social Statistics and Demography, University of Southampton, Southampton, United Kingdom
                [3 ]Center for Development Studies, Thiruvanathpuram, India
                [4 ]Global Health and Social Care Unit, School of Health Sciences and Social Work, University of Portsmouth, Portsmouth, United Kingdom
                Kenya Medical Research Institute - Wellcome Trust Research Programme, Kenya
                Author notes

                Conceived and designed the experiments: AS SSP. Analyzed the data: AS ZM. Contributed reagents/materials/analysis tools: AS. Wrote the paper: AS SSP USM SP FAJ ZM.

                Article
                PONE-D-12-03261
                10.1371/journal.pone.0037037
                3356397
                22623976
                a71cf601-0565-4c46-a190-bc2808f388d6
                Singh et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 1 February 2012
                : 12 April 2012
                Page count
                Pages: 9
                Categories
                Research Article
                Medicine
                Epidemiology
                Global Health
                Non-Clinical Medicine
                Health Care Policy
                Child and Adolescent Health Policy
                Health Education and Awareness
                Health Risk Analysis
                Health Statistics
                Health Care Quality
                Obstetrics and Gynecology
                Postpartum Care
                Pediatrics
                Public Health
                Child Health
                Socioeconomic Aspects of Health
                Women’s health

                Uncategorized
                Uncategorized

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