NHS uses QCovid risk model to fast-track vaccinations for the vulnerable

16 Feb 2021

More people at high risk from COVID-19 will get priority access to vaccines thanks to research conducted by the University of Oxford using the QResearch database – a not-for-profit initiative between the university and EMIS.

More people at high risk from COVID-19 will get priority access to vaccines thanks to research conducted by the University of Oxford using the QResearch database – a not-for-profit initiative between the university and EMIS.

NHS England announced today that the QCovid model developed by University of Oxford researchers is being used to enable a population-wide risk assessment to prioritise those patients most at risk for vaccination and support.

The research was commissioned by England’s Chief Medical Officer Chris Whitty and funded by the National Institute of Health Research. It found that there are several health and personal factors which, when combined, could mean someone is at a higher risk from COVID-19. These include characteristics like age, ethnicity and body mass index, as well as certain medical conditions and treatments.

The University of Oxford turned their research into a risk prediction model called QCovid, and NHS Digital used this to develop a population risk assessment.

Up to 1.5 million patients have been identified to date. Approximately 700,000 will have already been vaccinated as part of the over-70s cohort, and an additional 800,000 adults between 19 and 69 years will now be prioritised for a vaccination.

“This new model is a tribute to our health and technology researchers. The tool’s data-driven approach to medical risk assessment will help the NHS identify further individuals who may be at highest risk from COVID-19 due to a combination of personal and health factors.”

Dr Jenny Harries, deputy chief medical officer for England

Deputy chief medical officer for England Dr Jenny Harries said: “For the first time, we are able to go even further in protecting the most vulnerable in our communities.

"This action ensures those most vulnerable to COVID-19 can benefit from both the protection that vaccines provide, and from enhanced advice, including shielding and support, if they choose it.”

Sarah Wilkinson, chief executive of NHS Digital said: “I’m very pleased that NHS Digital has been able to deliver the platform to allow the QCovid model to be used to identify individuals vulnerable to COVID-19 as a result of combinations of clinical risk factors and personal characteristics.

“This extends the work we did last year to develop the Shielded Patients List, which included individuals with one of a number of specific clinical conditions.

“It is a privilege to be able to support the chief medical officer and his team in their quest to deliver the most sophisticated COVID-19 risk prediction capability.”

Developing the QCovid model

The QCovid model was developed using anonymised data for more than 8 million adults from the QResearch database, which uses anonymised patient data contributed by GPs using EMIS systems. The research to develop and validate the model is published in the British Medical Journal.

Professor Julia Hippisley-Cox, professor of clinical epidemiology and general practice at the University of Oxford, said: “

“The QCovid model, which has been developed using anonymised data from more than eight million adults, provides nuanced assessment of risk by taking into account a number of different factors that are cumulatively used to estimate risk, including ethnicity.

“The research to develop and validate the model is published in the British Medical Journal along with the underlying model for transparency. This will be updated to take account of new information as the pandemic progresses."

“I’m delighted that less than six months after being published, the model is now being used to help protect people at most risk from COVID-19.”

Professor Julia Hippisley-Cox, professor of clinical epidemiology and general practice at the University of Oxford

Dr Shaun O’Hanlon, Chief Medical Officer at EMIS, said: “EMIS is proud to have supported this important piece of research, which will enable the NHS to protect more vulnerable people, more quickly, from COVID-19.

“We thank all of the GP practices who have contributed anonymised patient data to the QResearch database over the 15 years it has been in existence. To be able to create this new risk model for COVID-19 less than a year since the start of the pandemic is a truly fantastic achievement.”

“With the support of GP practices, researchers have created data-driven risk models that are helping the NHS to reduce the instance of treat life-threatening conditions including heart disease, cancer and diabetes.”