New Tech To Pick Out People At High COVID-19 Risk In England For Vaccines

February 17, 2021 0 By boss


The University of Oxford turned its research into a risk prediction model called QCovid (File)


A new risk-prediction model devised by Oxford University scientists is to be deployed as new technology by the National Health Service (NHS) in England to help clinicians identify a new group of people who may be at high risk from COVID-19.

Over 800,000 adults will now be prioritised to receive a vaccine as part of the current vaccination cohorts, combining several health and personal factors, such as age, ethnicity and body mass index (BMI), as well as certain medical conditions and treatments.

The University of Oxford turned its research into a risk prediction model called QCovid, which has been independently validated by the Office for National Statistics (ONS) and is pegged as the only COVID-19 risk prediction model in the world to meet the “highest standards of evidence and assurance”.

“For the first time, we are able to go even further in protecting the most vulnerable in our communities,” said Dr Jenny Harries, Deputy Chief Medical Officer for England.

“The model’s data-driven approach to medical risk assessment will help the NHS identify further individuals who may be at high risk from COVID-19 due to a combination of personal and health factors. 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,” she said.

Given the evidence that COVID-19 impacts certain age groups and ethnic minorities such as South Asians with comorbidities at a higher rate, research was commissioned by England’s Chief Medical Officer, Chris Whitty, and funded by the National Institute of Health Research, to zero in on these risk factors. The new technology analyses a combination of risk factors based on medical records, to assess whether somebody may be more vulnerable than was previously understood, helping clinicians provide vaccination more quickly to them.

“The QCovid model, which has been developed using anonymised data from more than 8 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,” said Lead researcher Professor Julia Hippisley-Cox, Professor of Clinical Epidemiology and General Practice at University of Oxford’s Nuffield Department of Primary Care Health Sciences.


“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,” she said.

Under the modelling, up to 1.7 million patients have been identified and their general practitioners (GPs) are also being notified. Those within this group who are over 70 will have already been invited for vaccination and 820,000 adults between 19 and 69 years will now be prioritised for a vaccination.


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