Health inequality monitoring requires two streams of data: data about health and data about dimensions of inequality (such as socioeconomic, geographic or demographic characteristics). This course examines four common data sources for health inequality monitoring, highlighting their strengths and limitations, as well as opportunities to strengthen them for use in health inequality monitoring. It also guides learners through the process of data source mapping and linking between data sources.
Photo credits: Credit: WHO / Monta Reinfelde
Overview: High quality sources of disaggregated data are the backbone of regular, reliable and relevant health inequality monitoring practices. In some situations, data for inequality monitoring may be limited, incomplete, or of poor quality; in other situations, there may be a multitude of potential data sources that could be used for monitoring.
This course provides learners with the background knowledge and techniques for assessing, selecting and improving data sources for health inequality monitoring. The course covers household surveys, administrative data sources, civil registration and vital statistics (CRVS) systems and censuses, as well as approaches for data source mapping and linking. The target audience is monitoring and evaluation officers, 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.