INTEGRATE is a programme of work that seeks to use real world data to provide robust evidence to inform healthcare guideline development, and to evaluate their implementation and impact.
The INTEGRATE project was funded in 2023 and aims to capitalise on real world data held in electronic health records.
INTEGRATE will use electronic health records to generate robust evidence and assess whether this can inform clinical guideline development. This will involve using state of the art causal inference methods, in particular emulated target trial methodology. INTEGRATE will also capitalise on electronic health record data to evaluate implementation of guidelines, with a focus on identifying inequalities. Alongside this quantitative work, the INTEGRATE team will also work closely with clinicians and guideline developers to understand how routinely collected data in electronic health records is used in guideline development, and to understand how guidelines are used in clinical practice.
Members of the INTEGRATE team will work closely with guideline bodies at each stage of the study lifecycle to ensure that the results are informative for use in decision making at the national level.
Laurie
Tomlinson
Professor of Clinical Epidemiology
Frederick
Martineau
Research Fellow
Emily
Herrett
Associate Professor
Ruth
Keogh
Professor
Sebastian Schneeweiss
Professor / Harvard Medical School
Juan Jesus Carrero
Professor / Karolinska Institutet
Jan
Van Der Meulen
Professor of Clinical Epidemiology (HCC)
Ben Goldacre
Professor / University of Oxford
Miranda Scanlon
Expert Patient
Brian MacKenna
University of Oxford
Richard
Grieve
Professor of Health Economics Methodolog
John
Cairns
Professor of Health Economics
Amanda Adler
Professor / University of Oxford
Andrew
Briggs
Professor in Health Economics
Our three main areas of research are:
- Using real world data held in electronic health records to create robust evidence that will inform clinical guideline development
Working directly with national guideline bodies, we identify areas of uncertainty in healthcare that have not been, or cannot be, addressed by gold standard randomised controlled trials. Using emulated target trial methodology and real world data, we aim to produce robust evidence that can be used in guideline development. We currently use UK primary care data from the Clinical Practice Research Datalink (embed link to CPRD website) and OpenSAFELY (embed link to OpenSAFELY website) along with linked hospital and mortality data.
- How evidence from real world data informs clinical guideline development
We are undertaking a programme of qualitative work to understand how real world data shapes the development of healthcare guidelines, how guidelines shape health practices, and how well real world data represents patient care and experience.
- Using routinely collected data from electronic health records to evaluate implementation and impact of clinical guidelines
We work with national guideline bodies and conduct epidemiological studies to assess how guidelines are implemented using real world data from the UK. We also examine health outcomes following guidelines implementation, identify inequalities in implementation and missed opportunities for care, and the health economic impact of these.