The World Health Organisation (WHO) today launched the Health Inequality Data Repository (HIDR), the most comprehensive global collection of publicly available disaggregated data and evidence on population health and its determinants. The repository allows for tracking health inequalities across population groups and over time, by breaking down data according to group characteristics, ranging from education level to ethnicity.
The data from the repository showed that, in just a decade, the rich-poor gap in health service coverage among women, newborns and children in low- and middle-income countries has nearly halved. They also reveal that, in these countries, eliminating wealth-related inequality in under-five mortality could help save the lives of 1.8 million children.
The HIDR includes nearly 11 million data points and consists of 59 datasets from over 15 sources. The data include measurements of over 2,000 indicators broken down by 22 dimensions of inequality, including demographic, socioeconomic and geographical factors. Topics covered include the Sustainable Development Goals (SDGs); COVID-19; reproductive, maternal and child health; immunisation; HIV; tuberculosis; malaria; nutrition; health care; non-communicable diseases and environmental health.
"The ability to direct services to those who need them the most is vital to advancing health equity and improving lives. Designed as a one-stop-shop for data on health inequality, the Repository will help us move beyond only counting births and deaths, to disaggregating health data according to sex, age, education, region and more," said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. "If we are truly committed to leaving no one behind, we must figure out who is being missed."
However, disaggregated data are still not available for many health indicators, and where they are available, they are most frequently broken down only by sex and, to a lesser extent, by age and place of residence. For instance, only 170 of the 320 indicators in WHO's gateway for health-related statistics, the Global Health Observatory, are disaggregated, of which 116, or two-thirds, are disaggregated only by sex.
Though limited, the available disaggregated data reveal important inequality patterns. In high-income countries, hypertension is more common among men than women and obesity rates are similar among men and women. By contrast, in low-income countries, hypertension rates are similar among women and men, but obesity rates are higher among women than men.
Source: ANI / WAM