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Summary measures of health inequality use disaggregated data to concisely synthesize the level of inequality across population subgroups. They are commonly applied as part of health inequality analysis and reporting. In this course, learners are introduced to the general characteristics of summary measures and guided through considerations for the selection, calculation, interpretation, and reporting of a range of simple and complex summary measures.
Photo credits: WHO / Blink Media - Daiana Valencia
Overview: Health inequality monitoring draws on disaggregated data to assess and quantify how health varies across two or more population subgroups. Summary measures of health inequality use disaggregated data to express the extent of inequality using a single number.
This course is an introduction to summary measures that are used in health inequality monitoring. The course provides an overview of the defining characteristics of summary measures and the considerations for the selection and use of simple and complex summary measures in health inequality analysis and reporting. Learners are also guided through best practices for interpreting and reporting summary measures, including an introduction to the functionality of the WHO Health Equity Assessment Toolkit (HEAT). The target audience is monitoring and evaluation officers, researchers and analysts, though the course is suitable for anyone with a general interest in health data and inequality monitoring.
This course is part of the Health Inequality Monitoring Foundations series, featuring the following courses: (1) Overview, (2) Data Sources, (3) Health Data Disaggregation, (4) Summary Measures of Health Inequality and (5) Reporting.
Course duration: Approximately 1.5 hours
Certificates: A Record of Achievement will be available to participants who score at least 80% of the total points available in the final assessment. Participants who receive a Record of Achievement can also download an Open Badge for this course. Click here to learn how.