Clinical Practice Research Datalink (CPRD) data are sourced from a UK-wide network of over 2,000 primary care practices and include 60 million patients of which 16 million are currently registered active patients, with at least 20 years of follow-up for 25% of the patients. The anonymised patient data is broadly representative of the UK general population in terms of age, sex and ethnicity, and offers a rich source of health data for research. It covers patient records such as symptoms, diagnoses, clinical measures, test results, immunisations, prescriptions and referrals to secondary care.The primary care data can be linked to secondary care and other health and area-based datasets, such as the death registration data from the Office for National Statistics (ONS), Hospital Episodes Statistics (HES) data from NHS Digital and cancer registration data from NHS Digital National Disease Registration Service (NDRS).
The session will provide a brief overview of the wealth of data available for researchers, discuss the strengths and limitations of the data, describe the process of submitting a research protocol and obtaining data access, and explain how the NDPH CPRD Team can work with researchers on potential studies.
Topics to be covered:
Primary care data
Linked data
Research protocol submission and approval
Data access
Intended Audience
Staff and students who are interested in using patient electronic health records from GP practices for research into disease epidemiology, methodological and/or health services delivery research, drug safety, economics, drug utilisation, pharmacoeconomics, drug effectiveness, and pharmacoepidemiology.
Objectives
Understand the coverage, strengths, limitations and data quality issues of the two separate primary care databases
Understand the coding system used in CPRD data
Understand CPRD’s Research Data Governance process
Aware of the services provided by the NDPH CPRD Team
To register please click on the link below – forms.microsoft.com/e/aTsuT1RXK6?origin=lprLink
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Hybrid option
Please note that these meetings are closed meetings and only open to members of the University of Oxford to encourage sharing of new and unpublished data. Please respect our speakers and do not share the link with anyone outside of the university. The aim of these seminars is to increase interaction between people working in the University so we encourage in person attendance wherever possible.
Meeting ID: 356 064 709 123
Passcode: ihkEwh
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