Analyses of inequalities in RMNCH: rising to the challenge of the SDGs.

The Sustainable Development Goal (SDG) 17.18 recommends efforts to increase the availability of data disaggregated by income, gender, age, race, ethnicity, migratory status, disability and geographic location in developing countries. Surveys will continue to be the leading data source for disaggregated data for most dimensions of inequality. We discuss potential advances in the disaggregation of data from national surveys, with a focus on the coverage of reproductive, maternal, newborn and child health indicators (RMNCH). Even though the Millennium Development Goals were focused on national-level progress, monitoring initiatives such as Countdown to 2015 reported on progress in RMNCH coverage according to wealth quintiles, sex of the child, women's education and age, urban/rural residence and subnational geographic regions. We describe how the granularity of equity analyses may be increased by including additional stratification variables such as wealth deciles, estimated absolute income, ethnicity, migratory status and disability. We also provide examples of analyses of intersectionality between wealth and urban/rural residence (also known as double stratification), sex of the child and age of the woman. Based on these examples, we describe the advantages and limitations of stratified analyses of survey data, including sample size issues and lack of information on the necessary variables in some surveys. We conclude by recommending that, whenever possible, stratified analyses should go beyond the traditional breakdowns by wealth quintiles, sex and residence, to also incorporate the wider dimensions of inequality. Greater granularity of equity analyses will contribute to identify subgroups of women and children who are being left behind and monitor the impact of efforts to reduce inequalities in order to achieve the health SDGs.

Prenatal and postnatal maternal depression and infant hospitalization and mortality in the first year of life: A systematic review and meta-analysis.

BACKGROUND: Prenatal and postnatal depression have been well studied in recent decades, but few studies address their relationship with hospitalization and mortality in one-year-old children. OBJECTIVE: Review the literature about the effects of maternal depression on hospitalization and mortality of the child from birth to one year of age and conduct a meta-analysis. METHODS: A systematic search was performed in the PubMed and LILACS databases. We included original studies that evaluated the effect of prenatal and/or postnatal depressive symptoms on child hospitalization or mortality up to one year of age. Meta-analyses were conducted according to the outcome and stratified by prenatal and postnatal depression, using random effects models. RESULTS: Six studies were included in this review (170,371). Children of mothers with prenatal and postnatal depressive symptoms or depression had 1.44 (CI95% 1.10 - 1.89) greater risk of hospitalization, and children of mothers with postnatal depressive symptoms or depression had 1.93 (CI95% 1.02-3.64) greater risk of death before one year of age than those whose mothers did not have the disorder. LIMITATIONS: Small number of studies (n < 10), different instrument and cut points were used to evaluate maternal depressive symptoms or diagnose depression. CONCLUSION: Maternal depressive symptoms or depression have an unfavorable effect on hospitalization and mortality in children up to one year of age. This finding is relevant to public health and should stimulate the systematic screening of prenatal and postnatal depressive symptoms, so that adequate care can be provided for women and their children.

Socioeconomic inequalities in access to skilled birth attendance among urban and rural women in low-income and middle-income countries.

INTRODUCTION: Rapid urbanisation is one of the greatest challenges for Sustainable Development Goals. We compared socioeconomic inequalities in urban and rural women's access to skilled birth attendance (SBA) and to assess whether the poorest urban women have an advantage over the poorest rural women. METHODS: The latest available surveys (DemographicHealth Survey, Multiple Indicators Cluster Surveys) of 88 countries since 2010 were analysed. SBA coverage was calculated for 10 subgroups of women according to wealth quintile and urban-rural residence. Poisson regression was used to test interactions between wealth quintile index and urban-rural residence on coverage. The slope index of inequality (SII) and concentration index were calculated for urban and rural women. RESULTS: 37 countries had surveys with at least 25 women in each of the 10 cells. Average rural average coverage was 72.8 % (ranging from 17.2% % in South Sudan to 99.9 % in Jordan) and average urban coverage was 80.0% (from 23.6% in South Sudan to 99.7% in Guyana. In 33 countries, rural coverage was lower than urban coverage; the difference was significant (p<0.05) in 15 countries. The widest urban/rural coverage gap was in the Central African Republic (32.8% points; p<0.001). Most countries showed narrower socioeconomic inequalities in urban than in rural areas. The largest difference was observed in Panama, where the rural SII was 77.1% points larger than the urban SII (p<0.001). In 31 countries, the poorest rural women had lower coverage than the poorest urban women; in 20 countries, these differences were statistically significant (p<0.05). CONCLUSION: In most countries studied, urban areas present a double advantage of higher SBA coverage and narrower wealth-related inequalities when compared with rural areas. Studies of the intersectionality of wealth and residence can support policy decisions about which subgroups require special efforts to reach universal coverage.

Absolute income is a better predictor of coverage by skilled birth attendance than relative wealth quintiles in a multicountry analysis: comparison of 100 low- and middle-income countries.

BACKGROUND: Having high-quality data available by 2020, disaggregated by income, is one of the Sustainable Development Goals (SGD). We explored how well coverage with skilled birth attendance (SBA) is predicted by asset-based wealth quintiles and by absolute income. METHODS: We used data from 293 national surveys conducted in 100 low and middle-income countries (LMICs) from 1991 to 2014. Data on household income were computed using national income levels and income inequality data available from the World Bank and the Standardized World Income Inequality Database. Multivariate regression was used to explore the predictive capacity of absolute income compared to the traditional measure of quintiles of wealth index. RESULTS: The mean SBA coverage was 68.9% (SD: 24.2), compared to 64.7% (SD: 26.6) for institutional delivery coverage. Median daily family income in the same period was US$ 6.4 (IQR: 3.5-14.0). In cross-country analyses, log absolute income predicts 51.5% of the variability in SBA coverage compared to 22.0% predicted by the wealth index. For within-country analysis, use of absolute income improved the understanding of the gap in SBA coverage among the richest and poorest families. Information on income allowed identification of countries - such as Burkina Faso, Cambodia, Egypt, Nepal and Rwanda - which were well above what would be expected solely from changes in income. CONCLUSION: Absolute income is a better predictor of SBA and institutional delivery coverage than the relative measure of quintiles of wealth index and may help identify countries where increased coverage is likely due to interventions other than increased income.

Measurement of social inequalities in health: concepts and methodological approaches in the Brazilian context. / Mensuração de desigualdades sociais em saúde: conceitos e abordagens metodológicas no contexto brasileiro.

This study aims to describe methodological approaches to measure and monitor health inequalities and to illustrate their applicability. The measures most frequently used in the literature were reviewed. Data on coverage and quality of pre-natal care in Brazil, from the Demographic and Maternal and Child Health Survey (PNDS-2006) and the National Health Survey (PNS-2013) were used to illustrate their applicability. Absolute and relative measures of inequalities were presented, highlighting their complementary character. Despite the progress achieved in the national indicators of pre-natal care, important inequalities were still identified between population subgroups, with no change in the magnitude of the differences throughout the studied period. Brazil has important social inequalities, whose consequences still lead to health inequalities. Their description and monitoring are highly relevant to support polices focused on those vulnerable population groups who have been left behind.

O objetivo deste artigo é apresentar os principais métodos de mensuração e monitoramento das desigualdades sociais em saúde e ilustrar suas aplicações. Foram revisadas as medidas mais frequentemente empregadas na literatura. Dados de cobertura e qualidade do cuidado pré-natal no Brasil, provenientes da Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher (PNDS-2006) e da Pesquisa Nacional de Saúde (PNS-2013), foram utilizados para exemplificar as aplicações. Medidas de desigualdade absoluta e relativa foram apresentadas, destacando-se sua complementaridade. Apesar dos avanços evidenciados nos indicadores nacionais de pré-natal, importantes desigualdades foram identificadas entre subgrupos da população, sem que houvesse redução da magnitude dessas diferenças no período estudado. O Brasil apresenta importantes desigualdades sociais, que ainda se refletem em persistentes desigualdades em saúde. A descrição e monitoramento dessas desigualdades são fundamentais para o direcionamento de políticas de saúde, com foco em grupos mais vulneráveis que vêm sendo deixados para trás.

El objetivo de este artículo es presentar los principales métodos de medición y monitoreo de las desigualdades sociales en salud, y demostrar sus aplicaciones prácticas. Se realizó una revisión de los métodos más frecuentemente utilizados en la literatura. Datos sobre cobertura y calidad de la atención prenatal en Brasil, provenientes de la Encuesta Nacional de Demografía y Salud del Niño y la Mujer (PNDS-2006) y de la Encuesta Nacional de Salud (PNS-2013) fueran usados como ejemplo. Fueron presentadas medidas de desigualdad absoluta y relativa, destacando su complementariedad. A pesar de los avances evidenciados en los indicadores de atención prenatal en Brasil, fueron identificadas desigualdades importantes, sin que hubiese una reducción de la magnitud de esas diferencias en el periodo estudiado. Brasil presenta desigualdades sociales importantes, que aún se ven reflejadas en las persistentes desigualdades en salud. Su descripción y seguimiento son fundamentales para el direccionamiento de políticas en salud, focalizadas en grupos más vulnerables que han sido relegados.

The Inverse Equity Hypothesis: Analyses of Institutional Deliveries in 286 National Surveys.

OBJECTIVES: To test the inverse equity hypothesis, which postulates that new health interventions are initially adopted by the wealthy and thus increase inequalities-as population coverage increases, only the poorest will lag behind all other groups. METHODS: We analyzed the proportion of births occurring in a health facility by wealth quintile in 286 surveys from 89 low- and middle-income countries (1993-2015) and developed an inequality pattern index. Positive values indicate that inequality is driven by early adoption by the wealthy (top inequality), whereas negative values signal bottom inequality. RESULTS: Absolute inequalities were widest when national coverage was around 50%. At low national coverage levels, top inequality was evident with coverage in the wealthiest quintile taking off rapidly; at 60% or higher national coverage, bottom inequality became the predominant pattern, with the poorest quintile lagging behind. CONCLUSIONS: Policies need to be tailored to inequality patterns. When top inequalities are present, barriers that limit uptake by most of the population must be identified and addressed. When bottom inequalities exist, interventions must be targeted at specific subgroups that are left behind.

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

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.