About the Health Inequality Monitoring Course Series
Health inequalities exist in every population. A health inequality refers to an observable difference in health between subgroups in a population. With the necessary data, health inequalities can be measured, compared and tracked over time.
Health inequality monitoring entails quantifying and assessing health inequalities in a defined population to inform where changes are needed to advance health equity.
This channel includes training courses about the foundations of health inequality monitoring, its application to specific topics and skill building.
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Self-paced courses
Disaggregated data – data that are broken down by population subgroups – are essential for monitoring inequalities in health. They offer important insights into the health experience of subgroups t...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Household surveys are a key data source for health inequality monitoring. In this practical course, students will learn the main steps and considerations for preparing disaggregated data from house...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Household surveys are a key data source for health inequality monitoring. In this practical course, students will learn the main steps and considerations for preparing disaggregated data from house...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Monitoring health inequalities is essential to achieving health equity: it is essential to know who is being left behind in order to be able to tackle existing inequalities and ensure equitable acc...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Inequities in sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) throughout the world mean that certain population subgroups have systematically worse health outcomes an...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Health inequities 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 ...
- Self-paced
- Not disease specific
- Record of Achievement
- en
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 ...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Disaggregated health data show health indicator estimates by population subgroup, describing, for example, health intervention coverage across subgroups with different education levels or economic ...
- Self-paced
- Not disease specific
- Record of Achievement
- en
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 anal...
- Self-paced
- Not disease specific
- Record of Achievement
- en
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 alig...
- Self-paced
- Not disease specific
- Record of Achievement
- en
Existing inequities have been widely acknowledged as barriers to achieving global and national goals and targets in HIV, tuberculosis (TB) and malaria programmes. Monitoring inequalities in these t...
- Self-paced
- Record of Achievement
- en
Ensuring universal access to immunization promotes better population health and improved outcomes across diverse aspects of development. Unfortunately, however, the benefits of vaccines are spread ...
- Self-paced
- Not disease specific
- Record of Achievement
- en