Inequalities in health

Our Inequalities in health programme works to improve methods for analysing routinely collected health data and population-based studies. The programme uses novel linkages to social data to improve our understanding of inequalities in health and to improve intervention strategies.
Health inequalities in the UK were highlighted in the Black Report in 1980. Despite moving near the top of the health agenda since then, inequalities have persisted or increased across Western Europe.
Routine data have great potential for health research as a largely untapped resource. While some research groups – including our programme – have considerable experience working with such data, recent developments in the UK have enabled new linkages across health and social data. The ability to link social data makes it possible to study the impact of individual characteristics such as educational attainment or employment status. This provides further opportunities to inform interventions and policies, and to understand their impact on health and health inequalities.
Our programme has three workstreams: Health Inequalities and Linked Data Analysis, Natural Experiments from Observational Data and Enhancing Cohort, Survey and Routine Data Sources.
Our focus on existing data sources reflects our funders’ commitment to improve the uses of patient data, and capitalises on the substantial investment made in surveys, cohorts and ‘big data’.
Our objectives are to:
- Improve population health outcomes through research, based on the evaluation of policy or large-scale intervention
- Maximise the use of existing data and population-based studies to enhance the return on the investment made in these resources
- Inform intervention strategy through research which enhances our understanding of health, health inequalities and the determinants of health
- Build capacity in the measurement and analysis of inequalities in health by using observational data
Programme staff
Programme Leader
- Alastair Leyland (Workstream leader: Health Inequalities and Linked Data Analysis)
Programme Staff
- Mirjam Allik
- Denise Brown
- Nai Rui Chng
- Peter Craig
- Esther Curnock
- Ruth Dundas (Workstream leader: Health Inequalities and Linked Data Analysis)
- Linsay Gray (Workstream leader: Enhancing Cohort, Survey and Routine Data Sources)
- Michael Green
- Mary-Kate Hannah
- Vittal Katikireddi (Workstream leader: Natural Experiments from Observational Data)
- Anna Pearce
- Emily Tweed
- Elise Whitley