Socio-economic Inequality in Health. 17/01/2023 - 18/01/2023. SHORT ONLINE COURSE

Attendance

Online

Posted on

Start Date

End Date

Type

Online courses

Certifications & Titles

N/A

Show Contact Information
Name

Apostolos Davillas

Socio-economic Inequality in Health

Presenter: Dr Apostolos Davillas

ONLINE, two-day course

17/01/2023: 08:00 – 15:15 (UK time)

18/01/2023: 08:00 – 15:15 (UK time)

Cost

• £60 for students registered at University. • £120 for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organizations and recognised research institutions. • £200 for all other participants

Registration and further details: https://www.ncrm.ac.uk/training/show.php?article=12220

 

 

Economists (and social scientists more broadly) are increasingly focusing on the measurement and causes of inequality in health. This reflects the concern that health inequality reflects social injustices, and it is also in response to the trend away from a narrow focus on income inequality to broader inequality in wellbeing analysis.

This two-day online course aims to postgraduate researchers and analysts interested in quantitative analysis of inequity and (socio-economic and regional) inequality in health and health care. This consists of lectures and practical sessions on the measurement and interpretation of inequity and inequality in health and health care. Specifically, this course provides a gentle introduction to the concept of inequity, socio-economic inequality, and inequality of opportunity in health, i.e., the “egalitarian” framework that does not necessarily indicate equality of the distribution of outcomes per se but emphasises the role of individual responsibility in defining a “fair” distribution of health in the society.

Recent advances in the survey measurement of health, in the context of large-scale social science datasets, allow us to access and collect physical measurements and markers derived from biological samples, in addition to self-reported health assessments. Measurement error in self-reported health data (as well as potential measurement errors in “more objectively” measured nurse-collected indicators in social science surveys) may significantly affect and contaminate the measurement of socioeconomic inequality in health research when relying on these health measures. We will draw conclusions on the potential implications of measurement error in self-reported and measured health indicators for research on inequalities in health.

We will also provide a good set of practical sessions and illustrative examples on the measurement of inequality in health using subjective and more objectively measured health indicators.

 

The course covers:

•  A gentle introduction to inequity and socio-economic (and regional) inequality in health and health care

• A number of approaches (employed by economists, social scientists and bio-social researchers) on the measurement of socio-economic inequality in health and healthcare

• The concept of inequality of opportunity in health

• Measurement of inequality and inequality of opportunity in health

• Measurement error in self-reported (and measured) health data in social science surveys and its potential implications for the socio-economic inequality in health research.

• Practical sessions and illustrative examples on the measurement of health inequality, measurement error in health outcomes and the potential implications for existing research in health inequality. 

By the end of the course participants will:

  • be able to understand several approaches (employed by economists, social scientists and bio-social researchers) on the measurement of inequity and socio-economic inequality in health and healthcare
  • be comfortable in computing health inequality measures using Stata
  • understand the concept of inequality of opportunity in health and its measurement via practical sessions in Stata
  • have the theoretical and practical knowledge to undertake basic research into health inequalities.
  • be familiar with measurement error in health data available at social science surveys and its potential implications for existing research in socio-economic health inequality. 

This course is aimed at postgraduate researchers and analysts interested in the measurement of socio-economic inequality in health and health care, including (but not limited to): Academics, Government Researchers, Third sector organisations and (Health) Consultancy analysts.

Event Programme (Online; two days)

Day 1

8:00-10:00 Theoretical and practical considerations on inequity and socio-economic inequality in health  

10:00-10:15 (Virtual) coffee break (Q&A session)

10:15-11:45 Inequality of opportunity in health (IOp)

11:45-13:15 Advanced topics in inequity and inequality of opportunity (IOp) in health

13:15-14:15 Lunch

14:15-15:15 Practical sessions using Stata and illustrative examples   

Day 2

8:00-10:00 Measurement error in self-reported health measures used in social science datasets

10:00-10:15 (Virtual) coffee break (Q&A session)

10:15-11:45 Measurement error in “more objectively” measured health indicators (for example, nurse collected anthropometrics)

11:45-13:15 Potential implications of the measurement error in health in existing research in socio-economic inequality in health (and beyond)

13:15-14:15 Lunch

14:15-15:15 Practical sessions using Stata and illustrative examples   

More Information

Posted on

Start Date

End Date

Type

Online courses

Certifications & Titles

N/A

Show Contact Information
Name

Apostolos Davillas