Courses

4 Courses
  • 8 Lessons

    Health Equity Assessment Toolkit (HEAT and HEAT Plus)

    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 access to quality health services for all. Health inequality monitoring should be an integral part of a country’s health information system. The Health Equity Assessment Toolkit (HEAT and HEAT Plus) is a software application that facilitates the assessment of health inequalities. This course covers how this software application can support the analysis and use of disaggregated data as an input for equity-oriented policy-making. | Self-paced | Language: English | Not disease specific
  • 8 Lessons

    Inequality analysis using Excel: Disaggregated data

    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 that are masked by national (or overall) averages. In this practical course, students will learn the main steps and considerations for preparing and reporting disaggregated data using Microsoft Excel, including how to prepare datasets for the analysis of health inequalities using the WHO Health Equity Assessment Toolkit (HEAT Plus) software application. | Self-paced | Language: English | Not disease specific
  • 8 Lessons

    Inequality analysis using R: Disaggregated data from surveys

    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 household surveys using the statistical software R, including its preparation for the subsequent analysis of health inequalities using the WHO Health Equity Assessment Toolkit (HEAT Plus) software application. | Self-paced | Language: English | Not disease specific
  • 8 Lessons

    Inequality analysis using Stata: Disaggregated data from surveys

    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 household surveys using the statistical package Stata, including its preparation for the subsequent analysis of health inequalities using the WHO Health Equity Assessment Toolkit (HEAT Plus) software application. | Self-paced | Language: English | Not disease specific