Monitoring breastfeeding indicators in high-income countries: Levels, trends and challenges.

Monitoring indicators of breastfeeding practices is important to protect and evaluate the progress of breastfeeding promotion efforts. However, high-income countries lack standardized methodology to monitor their indicators. We aimed to update and summarize nationally representative annual estimates of breastfeeding indicators in high-income countries and to describe methodological issues pertaining to the data sources used. A review was conducted through population-based surveys with nationally representative samples or health reports from nationally representative administrative data of electronic surveys or medical records. Methodological aspects and rates of all breastfeeding indicators available were summarized by country. The median and annual growth of breastfeeding in percentage points within countries with time-series data were estimated. Data from 51 out of 82 high-income countries were identified. The data were obtained through surveys (n = 32) or administrative data (n = 19). Seventy-one percent of countries have updated their indicators since 2015. Ever breastfed was the indicator most frequently reported (n = 46), with a median of 91%. By 6 months of age, the median equals 18% for exclusive and 45% for any breastfeeding. At 12 months, the median of continued breastfeeding decreased to 29%. The annual growth rate for ever breastfed, exclusive and any breastfeeding at 6 months and continued at 12 months varied from 1.5 to -2.0, 3.5 to -3.1, 5.0 to -1.0 and 5.0 to -1.9, respectively, with positive changes for most countries. Stronger interventions are needed to promote breastfeeding in high-income countries as a whole, and investments are required to monitor trends with standardized methodologies.

Trends in socioeconomic inequalities in stunting prevalence in Latin America and the Caribbean countries: differences between quintiles and deciles.

BACKGROUND: With the adoption of the Sustainable Development Goals (SDGs), there is a renewed commitment of tackling the varied challenges of undernutrition, particularly stunting (SDG 2.2). Health equity is also a priority in the SDG agenda and there is an urgent need for disaggregated analyses to identify disadvantaged subgroups. We compared time trends in socioeconomic inequalities obtained through stratification by wealth quintiles and deciles for stunting prevalence. METHODS: We used 37 representative Demographic and Health Surveys and Multiple Indicator Cluster surveys from nine Latin American and Caribbean (LAC) countries conducted between 1996 and 2016. Stunting in children under-5 years was assessed according to the 2006 WHO Child Growth Standards and stratified by wealth quintiles and deciles. Within-country socioeconomic inequalities were measured through concentration index (CIX) and slope index of inequality (SII). We used variance-weighted least squares regression to estimate annual changes. RESULTS: Eight out of nine countries showed a statistical evidence of reduction in stunting prevalence over time. Differences between extreme deciles were larger than between quintiles in most of countries and at every point in time. However, when using summary measures of inequality, there were no differences in the estimates of SII with the use of deciles and quintiles. In absolute terms, there was a reduction in socioeconomic inequalities in Peru, Honduras, Dominican Republic, Belize, Suriname and Colombia. In relative terms, there was an increase in socioeconomic inequalities in Peru, Bolivia, Haiti, Honduras and Guatemala. CONCLUSIONS: LAC countries have made substantial progress in terms of reducing stunting,. Nevertheless, renewed actions are needed to improve equity. Particularly in those countries were absolute and relative inequalities did not change over time such Bolivia and Guatemala. Finer breakdowns in wealth distribution are expected to elucidate more differences between subgroups; however, this approach is relevant to cast light on those subgroups that are still lagging behind within populations and inform equity-oriented health programs and practices.

Coverage and equity in reproductive and maternal health interventions in Brazil: impressive progress following the implementation of the Unified Health System.

BACKGROUND: The Brazilian SUS (Unified Health System) was created in 1988 within the new constitution, based on the premises of being universal, comprehensive, and equitable. The SUS offers free health care, independent of contribution or affiliation. Since then, great efforts and increasing investments have been made for the system to achieve its goals. We assessed how coverage and equity in selected reproductive and maternal interventions progressed in Brazil from 1986 to 2013. METHODS: We reanalysed data from four national health surveys carried out in Brazil in 1986, 1996, 2006 and 2013. We estimated coverage for six interventions [use of modern contraceptives; antenatal care (ANC) 1+ visits by any provider; ANC 4+ visits by any provider; first ANC visit during the first trimester of pregnancy; institutional delivery; and Caesarean sections] using standard international definitions, and stratified results by wealth quintile, urban or rural residence and country regions. We also calculated two inequality indicators: the slope index of inequality (SII) and the concentration index (CIX). RESULTS: All indicators showed steady increases in coverage over time. ANC 1+ and 4+ and institutional delivery reached coverage above 90 % in 2013. Prevalence of use of modern contraceptives was 83 % in 2013, indicating nearly universal satisfaction of need for contraception. On a less positive note, the proportion of C-sections has also grown continuously, reaching 55 % in 2013. There were marked reductions in wealth inequalities for all preventive interventions. Inequalities were significantly reduced for all indicators except for the C-section rate (p = 0.06), particularly in absolute terms (SII). CONCLUSIONS: Despite the difficulties faced in the implementation of SUS, coverage of essential interventions increased and equity has improved dramatically, due in most cases to marked increase in coverage among the poorest 40 %. An increase in unnecessary Caesarean sections was also observed during the period. Further evaluation on the quality of healthcare provided is needed.

Measures of women's empowerment based on individual-level data: a literature review with a focus on the methodological approaches.

Background: Quantifying women's empowerment has become the focus of attention of many international organizations and scholars. We aimed to describe quantitative indicators of women's empowerment that are based on individual-level data. Methods: In this scoping review, we searched PubMed, Scopus, Web of Science, Science Direct, Google, and Google Scholar for publications describing the operationalization of measures of women's empowerment. Results: We identified 36 studies published since 2004, half of them since 2019, and most from low- and middle-income countries. Twelve studies were based on data from the Demographic and Health Surveys and used 56 different variables from the questionnaires (ranging from one to 25 per study) to measure the overall empowerment of women 15-49 years. One study focused on rural women, two included married and unmarried women, and one analyzed the couple's responses. Factor analysis and principal component analysis were the most common approaches used. Among the 24 studies based on other surveys, ten analyzed overall empowerment, while the others addressed sexual and reproductive health (4 studies), agriculture (3) and livestock (1), water and sanitation (2), nutrition (2), agency (1), and psychological empowerment (1). These measures were mainly based on data from single countries and factor analysis was the most frequently analytical method used. We observed a diversity of indicator definitions and domains and a lack of consensus in terms of what the proposed indicators measure. Conclusion: The proposed women's empowerment indicators represent an advance in the field of gender and development monitoring. However, the empowerment definitions used vary widely in concept and in the domains/dimensions considered, which, in turn influence or are influenced by the adopted methodologies. It remains a challenge to find a balance between the need for a measure suitable for comparisons across populations and over time and the incorporation of country-specific elements.

Trends and inequalities in maternal and child health in a Brazilian city: methodology and sociodemographic description of four population-based birth cohort studies, 1982-2015.

BACKGROUND: Few low-middle-income countries have data from comparable birth cohort studies spanning over time. We report on the methods used by the Pelotas cohorts (1982, 1993, 2004 and 2015) and describe time trends in sociodemographic characteristics of the participant families. METHODS: During the four study years, all maternity hospitals in the city were visited daily, and all urban women giving birth were enrolled. Data on socioeconomic and demographic characteristics were collected using standardized questionnaires, including data on maternal and paternal skin colour, age and schooling, maternal marital status, family income and household characteristics. The analyses included comparisons of time trends and of socioeconomic and ethnic group inequalities. RESULTS: Despite a near 50% increase in the city's population between 1982 and 2015, the total number of births declined from 6011 to 4387. The proportion of mothers aged ≥35 years increased from 9.9% to 14.8%, and average maternal schooling from 6.5 [standard deviation (SD) 4.2] to 10.1 (SD 4.0) years. Treated water was available in 95.3% of households in 1982 and 99.3% in 2015. Three-quarters of the families had a refrigerator in 1982, compared with 98.3% in 2015. Absolute income-related inequalities in maternal schooling, household crowding, household appliances and access to treated water were markedly reduced between 1982 and 2015. Maternal skin colour was associated with inequalities in age at childbearing and schooling, as well as with household characteristics. CONCLUSIONS: During the 33-year period, there were positive changes in social and environmental determinants of health, including income, education, fertility and characteristics of the home environment. Socioeconomic inequality was also reduced.