NHS Digital used QCovid® to develop the COVID-19 Population Risk Assessment. which combined a number of factors such as age, sex registered at birth, ethnicity, body mass index (BMI) and specific health conditions and treatments to estimate the risk of a person catching coronavirus and becoming seriously unwell.
Centrally held patient data was used to identify people who might be at high risk, using the codes listed in the document below. Using data in this way for the COVID-19 Population Risk Assessment provided ongoing opportunities for improvements in care through identification of particular cohorts of patients in primary care.
The University of Oxford’s QCovid® model was developed using the QResearch database, which includes anonymised GP record data and uses SNOMED-CT codes and Read v2 codes. To allow the model to be applied at a population level, an expanded list of SNOMED-CT codes was produced. This expanded list of codes was used to implement the COVID-19 Population Risk Assessment but was not used in the research to develop the model. Read more about some of these expanded code sets.
This was in line with the precautionary approach to be as inclusive as possible and overestimate rather than underestimate risk and helped to ensure that people who may be at high risk from coronavirus received advice, priority access to vaccination and other support available to people added to the Shielded Patient List (SPL).
QCovid® Risk Calculator DLL v1.1.0 was used for the COVID-19 Population Risk Assessment.