Our Research

The NCPHWR has been created to increase the amount of research done in Wales on the following subjects:


Improving Public Health

By preventing illness before it occurs, controlling infections and helping people better look after their own health. This part of our work includes researching how to prevent illness before it occurs and helping people better look after their own health. For example:

  • Testing ways of encouraging entire communities or large groups of people to adopt more healthy behaviours (e.g. making smoking cessation, exercise referral or active community schemes more effective).
  • Researching injury rates and testing interventions to reduce the how often members of particular groups are injured (e.g. children travelling to school).

We host three networks that focus on specific aspects of improving people's health:

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Using Information Technology to improve people’s health (Health Informatics)

This element of our work includes:

  • Using the data that the NHS holds on its patients to design more effective NHS services (for example, testing whether a new way of treating patients was more effective). 
  • Extending the amount of electronic data that we can link and analyse, so that we can do more research.
  • Finding new ways of collecting data (e.g. new web-based data collection tools).
  • Creating new ways of making the data collected more accurate, or linking existing data more effectively, quickly or cheaply. 
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Studying the patterns, causes and effects of ill-health and diseases (Applied Epidemiology).

For example, by preventing illness before it occurs, controlling infections and helping people better look after their own health. This part of our work includes researching how to prevent illness before it occurs and helping people better look after their own health. For example:

  • Understand better how different factors affect the spread of diseases (e.g. food safety issues), so that new policies and treatments can be developed to minimise their effect on Wales’ population.
  • Exploring whether existing electronic data can be mined and linked to track the spread of particular infections, or whether particular factors can be identified which speed up or slow down the spread of these infections.
  • Contribute to national and global efforts to understand what parts of the world are more affected by particular diseases or conditions, and why.
  • Model what effect particular policies or treatments around particular diseases or conditions would be likely to have on the population, so that the most effective ones can be implemented.
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