Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY
This is the code and configuration for our paper.
- The published peer-reviewed paper is available in the British Journal of General Practice
- Raw model outputs, including charts, crosstabs, etc, are in
released_outputs/ - If you are interested in how we defined our variables, take a look at the study definition; this is written in
python, but non-programmers should be able to understand what is going on there - If you are interested in how we defined our code lists, look in the codelists folder
- Developers and epidemiologists interested in the framework should review the OpenSAFELY documentation
- The preprint version of the paper is here
The OpenSAFELY framework is a secure analytics platform for electronic health records research in the NHS.
Instead of requesting access for slices of patient data and transporting them elsewhere for analysis, the framework supports developing analytics against dummy data, and then running against the real data within the same infrastructure that the data is stored. Read more at OpenSAFELY.org.