Professional training, supplementary courses, online courses
Online
Full Time
OPEN
This short online course covers theoretical concepts of inequity and inequality in health as well as their measurement. It also provides an overview of selected available longitudinal household survey data and cohort studies that combine socio-economic and demographic variables along with various health measures. These datasets provide good sources for empirical inequality in health research. The course combines theory and applied methods using case studies, real-world evidence, and data analysis using Stata.
WHO IS THIS COURSE FOR?
This course is for researchers and analysts interested in the measurement of socio-economic inequality in health, including, but not limited to, Ph.D. students, post-doctoral researchers and those working in third sector organisations.
No prior knowledge of economics or inequalities research is assumed.
COURSE CONTENT
The course is divided into three modules-
Module 1: Inequality in health and the concept of health poverty
Core concepts such as the measurement of inequality in relative and absolute terms
Rank- & level-dependent health inequality measures
Measuring health poverty
Methods to understand health inequalities (e.g. decomposition methods).
Module 2: Avoidable/unavoidable health inequality
Theoretical considerations on avoidable/unavoidable health inequality
Separating avoidable from unavoidable health inequality – measurement and practical considerations
Fairness and avoidable socio-economic inequality in health – advanced topics on measurement
Real-world evidence and empirical examples.
Module 3: Measuring health inequality in practice
Types of inequality comparisons (i.e. cross-section, comparisons across time and over every long periods of time
Defining research questions and sources of data
Estimating inequalities in practice including issues with the measurement of socio-economic status and health
Reporting of health inequality studies.
The course is taught in English.
