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In partnership with the other ARC themes, this cross-cutting theme conducts research into how to better use data and increase its value on population health.
The Population Evidence and Data Science (PEDS) theme aims to support the better use of health and care data for research and to improve population health.
Our research is underpinned by community engagement and strategic partnerships with different communities (research, service and citizens). Our projects are aimed at developing evidence-driven local population health action. Key ways in which we aim to achieve our impact are through:
- Improving knowledge on how local communities and vulnerable populations can be involved in the drive to establish linked health and care records
- Research and innovation to enhance the value of population health data for both health services and researchers
- Facilitating engagement between researchers and health service policy-makers and practitioners around the access to and use of population health data
- Increasing awareness of available population health data and its potential use for research
- PEDS01: Using data to improve health: are the public engaged
- PEDS02: Evidencing the Social Return on Investment of Age-Friendly Community Initiatives
- PEDS03: Deep community co-working and co-production
- PEDS04: Bespoke SHAPE Atlas for ARC East of England
- PEDS05: A review of the evidence base on approaches to improving quality of data on health inequalities
- PEDS06: Population in Focus and development of health research needs assessment
- PEDS07: Prevention and management of diabetes across Suffolk and North East Essex: applying and evaluating taking a population health management approach
- PEDS08: Federated Analytics and artificial intelligence research across trusted research environments for child and adolescent mental health
- PEDS09: Rapid Review Barriers to access, linkage and use of local authority data
These seminars aim to bring together researchers across the ARC East of England with an interest in better use of health and care data, provide an opportunity to share expertise in different types of data and create a forum to learn and exchange ideas.