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Date: Thursday 25th April 2024
Time: 10:00-13:00 UK time
Location: via Zoom
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The use of healthcare systems data (aka routinely-collected healthcare data, such as HES) as trial data could transform the delivery of clinical trials, but there are key challenges to address. One of the challenges is assessing the suitability of the data to replace trial-specific data collection and its relevance which we refer to as its utility. To assess utility we need to show that the data is the data you think it is by comparison of the routine data with data collected in a trial. These formal comparison studies will provide evidence on the fitness of purpose of a dataset to answer specific questions.
In this workshop, we will be showcasing some utility comparisons, explaining the need for utility comparisons, presenting our suggestion for how to conduct a utility comparison and giving some space for you to plan your own utility comparison.
Facilitators
| Macey Murray | MRC Clinical Trials Unit at UCL, London |
| Matt Sydes | MRC Clinical Trials Unit at UCL, London |
| Rob Trubey | Centre for Trials Research, Cardiff |
| Fiona Lugg-Widger | Centre for Trials Research, Cardiff |
| Charlie Harper | Big Data Institute, Oxford |
| Matt Nankivell | MRC Clinical Trials Unit at UCL, London |
| Rebecca Cannings-John | Centre for Trials Research, Cardiff |
| Sharon Love | MRC Clinical Trials Unit at UCL, London |
Workshop aims
By the end of the workshop,
- Participants should understand the need for data utility comparisons (DUCks)
- Have seen 5 example DUCks
- Have been given time with experienced mentors to plan their own DUCk
Target audience
Researchers and statisticians who want to use healthcare system data in a clinical trial
Fees
The workshop is free. However, it is likely to be oversubscribed, in this case the attendees will be selected based on their registration.