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More than 400,000 people in England had their Covid risk over-estimated by the NHS because of an over-cautious algorithm. The QCovid algorithm, used to help identify who should be shielding or getting early access to vaccines, automatically put people into higher risk categories when data was missing, health news site Pulse reported. If their weight wasn t recorded they were assumed to be obese and if their ethnicity was missing they were filed under black – both of which would assume someone was at a higher-than-average risk of severe Covid-19. Doctors in York double-checking isolation lists said they found 110 cases where patients had been wrongly asked to stay at home and shield. ....
Last modified on Tue 9 Mar 2021 23.37 EST Scientists are questioning the reliability of algorithms used to trawl through patients’ health records and flag those who should be asked to shield and prioritised for vaccination. GPs have reported being contacted by young, healthy patients confused as to why they have been told they are at high risk, or have been invited for a Covid-19 jab. The Joint Committee on Vaccination and Immunisation (JCVI) has defined nine priority groups for vaccination, including everyone aged over 50, plus frontline health and social care workers and people aged 16-64 with serious health conditions. The QCovid risk prediction algorithm, introduced last month, combines various characteristics, including age, sex, ethnicity and body mass index (BMI), to estimate the risk of catching, being admitted to hospital, or dying from Covid-19. ....