Health inequalities exist in all populations. Where the required data are available, monitoring can be done to measure inequalities, make comparisons between populations, and track changes over time – all with the broader aims of equitably strengthening health systems and improving health and well-being for all. This course is a general introduction to health inequality monitoring and serves as an entry point for a series of courses on the foundations of health inequality monitoring. | Self-paced | Language: English | Not disease specific

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 processes of data source mapping and linking between data sources. | Self-paced | Language: English | Not disease specific

Disaggregated health data show health indicator estimates by population subgroup, describing, for example, health intervention coverage across subgroups with different education levels or economic status. In this course, learners will examine how disaggregated health data are integral to the process of health inequality monitoring, and gain skills in assessing and reporting disaggregated data. | Self-paced | Language: English | Not disease specific

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. | Self-paced | Language: English | Not disease specific

The reporting step of health inequality monitoring involves developing and conveying clear, evidence-based messages about the state of inequality, and communicating these messages in ways that align with a defined purpose and audience. This course examines the components of high-quality health inequality reporting, emphasizing audience-centred, and technically rigorous approaches. | Self-paced | Language: English | Not disease specific