Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY
Walker A., MacKenna B., Inglesby P., Rentsch C., Curtis H., Morton C., Morley J., Mehrkar A., Bacon S., Hickman G., Bates C., Croker R., Evans D., Ward T., Cockburn J., Davy S., Bhaskaran K., Schultze A., Williamson E., Hulme W., McDonald H., Tomlinson L., Mathur R., Eggo R., Wing K., Wong A., Forbes H., Tazare J., Parry J., Hester F., Harper S., OHanlon S., Eavis A., Jarvis R., Avramov D., Griffiths P., Fowles A., Parkes N., Douglas I., Evans S., Smeeth L., Goldacre B.
This OpenSAFELY report is a routine update of our peer-review paper published in the British Journal of General Practice on the Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. It is a routine update of the analysis described in the paper. The data requires careful interpretation and there are a number of caveats. Please read the full detail about our methods and discussionis and the full analytical methods on this routine report are available on GitHub. OpenSAFELY is a new secure analytics platform for electronic patient records built on behalf of NHS England to deliver urgent academic and operational research during the pandemic. You can read more about OpenSAFELY on our website.