The Equity Data & Analysis Center’s goal is to use data to achieve progress on health equity. Its outputs provide evidence on who is being left behind, in order to inform health policies, programmes and practices that aim at closing existing gap.
- Maintaining and updating a large dataset with indicators for the sustainable development goals related to reproductive, maternal, newborn and child health which can be stratified by various equity dimensions, such as wealth quintiles and maternal education.
- Providing guidance on analysis methods, tools for equity analysis and visualization, and database management.
This webinar provides an overview of available tools for equity analysis.
Tools & Resources
Equity profiles are available for Countdown priority countries with available DHS or MICS surveys. They highlight the magnitude, time trends and within-country inequalities for reproductive, maternal, newborn and child health interventions. The selected indicators belong to the four stages of the continuum of care, plus two composite indicators: the composite coverage index and the co-coverage indicator.
The equity dashboard is an Excel spreadsheet which visualizes data on reproductive, maternal, newborn and child health indicators according to wealth, place of residence, and women’s education by country or region. The data sources are DHS, MICS or other relevant nationally representative surveys with focus women, children and adolescent health. Further instructions and a link to download the dashboard can be found at: https://www.equidade.org/dashboard.
The list of indicators and stratifiers, along with their definitions, is useful for those interpreting that data or creating their own surveys. The list of indicator definitions is available here. More details on the stratifiers is available here. The datasets with indicator estimates are provided upon request: firstname.lastname@example.org.
The equiplot is a dot graph used to compare of inequalities within and between subgroups, where the distance between the dots is the absolute difference between subgroups. The equiplot can be used to visualize inequalities between indicators, countries or even time trends. Support for generating equiplots is available through downloadable Stata code, an online tool, and this brief video tutorial.
The slope index of inequality (SII) and the concentration index (CIX) are complex inequality measures for ordered groups to measure absolute (SII) and relative (CIX) inequalities. The SII estimates the absolute inequality between the extremes of the stratifier distribution (e.g. wealth quintiles) through a linear or logistic regression.
You can download the SII Stata ado-file for using the following command:
net install siilogit, from("http://www.equidade.org/files")
The CIX is a relative inequality measure related to the Gini coefficient, showing how concentrated the health indicator is within the socioeconomic distribution.
You can download the CIX Stata ado-file using the following command:
net install cixr, from("http://www.equidade.org/files")
This webinar was presented on January 12, 2021 for partner institutions within the Countdown to 2030 consortium. However, it may be of interest to anyone who wants to incorporate measures of equity into public health evaluations. [1hr 18mins]
In this video Dessalegn Y. Melesse from the University of Manitoba and Countdown to 2030 discusses key findings from his paper titled “Inequalities in early marriage, childbearing and sexual debut among adolescents in sub-Saharan Africa” which was published in the journal Reproductive Health in 2021 [4 minutes].
Watch Sarah Neal from the University of Southampton commenting on the significance of the Reproductive Health journal supplement published in June 2021 titled, “Adolescent sexual and reproductive health for all in sub-Saharan Africa: Are inequalities reducing?” [4 minutes]
In this video Martin Mutua from the African Population Health Research Center discusses key findings from his paper titled “Wealth-related inequalities in demand for family planning satisfied among married and unmarried adolescent girls and young women in sub-Saharan Africa” which was published in the journal Reproductive Health in 2021 [5 minutes].
In this brief tutorial, Cauane Blumenberg from the International Center for Equity in Health in Pelotas, Brazil, demonstrates how to create an equiplot using Stata. [2 mins]
In this video Luiza Ricardo from the International Center for Equity in Health at Pelotas University, Brazil, explains how and why to include slope index of inequality in health equity analysis [4 minutes].