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      Inequalities in the coverage of place of delivery and skilled birth attendance: analyses of cross-sectional surveys in 80 low and middle-income countries

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          Abstract

          Background

          Having a health worker with midwifery skills present at delivery is one of the key interventions to reduce maternal and newborn mortality. We sought to estimate the frequencies of (a) skilled birth attendant coverage, (b) institutional delivery, and (c) the combination of place of delivery and type of attendant, in LMICs.

          Methods

          National surveys (DHS and MICS) performed in 80 LMICs since 2005 were analyzed to estimate these four categories of delivery care. Results were stratified by wealth quintile based on asset indices, and by urban/rural residence. The combination of place of delivery and type of attendant were also calculated for seven world regions.

          Results

          The proportion of institutional SBA deliveries was above 90 % in 25 of the 80 countries, and below 40 % in 11 countries. A strong positive correlation between SBA and institutional delivery coverage (rho: 0.97, p <0,001) was observed. Eight countries had over 10 % of home SBA deliveries, and two countries had over 10 % of institutional non-SBA deliveries. Except for South Asia, all regions had over 80 % of urban deliveries in the institutional SBA category, but in rural areas, only two regions (CEE & CIS, Middle East & North Africa) presented average coverage above 80 %. In all regions, institutional SBA deliveries were over 80 % in the richest quintile. Home SBA deliveries were more common in rural than in urban areas, and in the poorest quintiles in all regions. Facility non-SBA deliveries also tended to be more common in rural areas and among the poorest.

          Conclusion

          Four different categories of delivery assistance were identified worldwide. Pro-urban and pro-rich inequalities were observed for coverage of institutional SBA deliveries.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12978-016-0192-2) contains supplementary material, which is available to authorized users.

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          Most cited references106

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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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            Stillbirths: rates, risk factors, and acceleration towards 2030

            An estimated 2.6 million third trimester stillbirths occurred in 2015 (uncertainty range 2.4-3.0 million). The number of stillbirths has reduced more slowly than has maternal mortality or mortality in children younger than 5 years, which were explicitly targeted in the Millennium Development Goals. The Every Newborn Action Plan has the target of 12 or fewer stillbirths per 1000 births in every country by 2030. 94 mainly high-income countries and upper middle-income countries have already met this target, although with noticeable disparities. At least 56 countries, particularly in Africa and in areas affected by conflict, will have to more than double present progress to reach this target. Most (98%) stillbirths are in low-income and middle-income countries. Improved care at birth is essential to prevent 1.3 million (uncertainty range 1.2-1.6 million) intrapartum stillbirths, end preventable maternal and neonatal deaths, and improve child development. Estimates for stillbirth causation are impeded by various classification systems, but for 18 countries with reliable data, congenital abnormalities account for a median of only 7.4% of stillbirths. Many disorders associated with stillbirths are potentially modifiable and often coexist, such as maternal infections (population attributable fraction: malaria 8.0% and syphilis 7.7%), non-communicable diseases, nutrition and lifestyle factors (each about 10%), and maternal age older than 35 years (6.7%). Prolonged pregnancies contribute to 14.0% of stillbirths. Causal pathways for stillbirth frequently involve impaired placental function, either with fetal growth restriction or preterm labour, or both. Two-thirds of newborns have their births registered. However, less than 5% of neonatal deaths and even fewer stillbirths have death registration. Records and registrations of all births, stillbirths, neonatal, and maternal deaths in a health facility would substantially increase data availability. Improved data alone will not save lives but provide a way to target interventions to reach more than 7000 women every day worldwide who experience the reality of stillbirth.
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              National, regional, and global levels and trends in maternal mortality between 1990 and 2015 with scenario-based projections to 2030: a systematic analysis by the United Nations Maternal Mortality Estimation Inter-Agency Group

              Summary Background Millennium Development Goal (MDG) 5 calls for a reduction of 75% in the maternal mortality ratio (MMR) between 1990 and 2015. We estimated levels and trends in maternal mortality for 183 countries to assess progress made. Based on MMR estimates for 2015, we constructed scenario-based projections to highlight the accelerations needed to accomplish the Sustainable Development Goal (SDG) global target of less than 70 maternal deaths per 100,000 live births globally by 2030. Methods We updated the open access UN Maternal Mortality Estimation Inter-agency Group (MMEIG) database. Based upon nationally-representative data for 171 countries, we generated estimates of maternal mortality and related indicators with uncertainty intervals using a Bayesian model, which extends and refines the previous UN MMEIG estimation approach. The model combines the rate of change implied by a multilevel regression model with a time series model to capture data-driven changes in country-specific MMRs, and includes a data model to adjust for systematic and random errors associated with different data sources. Results The global MMR declined from 385 deaths per 100,000 live births (80% uncertainty interval ranges from 359 to 427) in 1990 to 216 (207 to 249) in 2015, corresponding to a relative decline of 43.9% (34.0 to 48.7) during the 25-year period, with 303,000 (291,000 to 349,000) maternal deaths globally in 2015. Regional progress in reducing the MMR since 1990 ranged from an annual rate of reduction of 1.8% (0 to 3.1) in the Caribbean to 5.0% (4.0 to 6.0) for Eastern Asia. Regional MMRs for 2015 range from 12 (11 to 14) for developed regions to 546 (511 to 652) for sub-Saharan Africa. Accelerated progress will be needed to achieve the SDG goal; countries will need to reduce their MMRs at an annual rate of reduction of at least 7.5%. Interpretation Despite global progress in reducing maternal mortality, immediate action is required to begin making progress towards the ambitious SDG 2030 target, and ultimately eliminating preventable maternal mortality. While the rates of reduction that are required to achieve country-specific SDG targets are ambitious for the great majority of high mortality countries, the experience and rates of change between 2000 and 2010 in selected countries–those with concerted efforts to reduce the MMR- provide inspiration as well as guidance on how to accomplish the acceleration necessary to substantially reduce preventable maternal deaths. Funding Funding from grant R-155-000-146-112 from the National University of Singapore supported the research by LA and SZ. AG is the recipient of a National Institute of Child Health and Human Development, grant # T32-HD007275. Funding also provided by USAID and HRP (the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction).
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                Author and article information

                Contributors
                gjoseph@equidade.org
                icmsilva@equidade.org
                fwehrmeister@equidade.org
                abarros@equidade.org
                cvictora@equidade.org
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                17 June 2016
                17 June 2016
                2016
                : 13
                : 77
                Affiliations
                International Center for Equity in Health, Post-Graduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3o andar, Pelotas, RS 96020-220 Brazil
                Author information
                http://orcid.org/0000-0002-9300-2069
                Article
                192
                10.1186/s12978-016-0192-2
                4912761
                27316970
                92dce3e5-3ad1-43a9-87c4-952dc4a83fd0
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 May 2016
                : 6 June 2016
                Funding
                Funded by: Wellcome Trust Foundation
                Award ID: 101815/Z/13/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Funded by: Associação Brasileira de Saúde Coletiva (ABRASCO)
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Obstetrics & Gynecology
                skilled delivery,maternal health services,skilled birth attendance,birth attendance,delivery assistance,low and middle-income countries,developing countries,global health

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