The RCP has responded to the launch of a new predictive risk model to help clinicians identify patients who may have a high risk of becoming seriously unwell if they develop COVID-19.
Based on anonymised data from the first wave of the pandemic, the new COVID-19 Population Risk Assessment, powered by QCovid technology, takes into account an individuals’ risk factors, including age, sex registered at birth, pre-existing conditions, ethnicity and BMI, to estimate the risk of serious illness from coronavirus.
This new technology has been introduced in England to help clinicians identify for the first time, a new group of people who may be at high risk from COVID-19 and should be added to the shielding patient list. GPs and clinicians can continue to add or remove patients to the list as per the existing process.
Commenting on its launch, Professor Andrew Goddard, president of the Royal College of Physicians, said:
"The adoption of this risk assessment model by the NHS will play an important role in supporting clinicians and patients with conversations about COVID-19 and enable decisions to be made with a greater understanding of personal risk.
"As with all research during the pandemic, we are constantly learning and so can continue to further enhance the model as data becomes available.
"We look forward to providing continued feedback and views from clinicians to support its ongoing development.”
You can find out more about how the model was developed and how it works here.