Hospital coronavirus admissions were reported at the beginning of the pandemic as patients with other diseases were mistakenly included
- Britons suffering from other illnesses were included in the data collected to monitor the virus outbreak
- Patients were classified as Covid-19 patients if they ever tested positive for the virus, SAGE noted
- Government reports said 20,000 people were admitted to Covid-19 every week during the crisis
The numbers of those hospitalized for coronavirus during the height of the pandemic have been over-reported, as it became known last night.
Britons suffering from other illnesses were included in data collected to monitor the virus outbreak, according to the Daily Telegraph.
The Government's Emergency Science Advisory Group (SAGE) noted that patients were classified as Covid-19 hospital admissions if they ever tested positive for the disease.
And they were included in the number of people specifically approved for the coronavirus.
According to government statistics, around 20,000 people a week were hospitalized with Covid-19 at the height of the crisis in April. The correct number is not yet known.
It comes after a recent review of the way Public Health England (PHE) has calculated coronavirus deaths. Thousands of people who died from causes unrelated to the virus were originally included in the statistics.
Paramedics and staff at Royal Liverpool University Hospital wear PPE on April 18
Professor Graham Medley of the London School of Hygiene and Tropical Medicine was asked by Sage to investigate the situation
The UK coronavirus death toll has been revised, falling by more than 5,000, considering only those who died within 28 days of testing positive.
Professor Graham Medley of the London School of Hygiene and Tropical Medicine was asked by Sage to investigate the situation.
He told the Daily Telegraph: “In June it became clear that people were being hospitalized for non-covid reasons who had tested positive many weeks earlier.
"As a result, the NHS has revised its status report to take this into account."
Experts have warned the overcount is worrying as the hospital admissions numbers have been used to examine the current circumstances surrounding the crisis.
Professor Carl Heneghan, Director of the Center for Evidence-Based Medicine at Oxford University, said: “The approval dates are a critical issue. I would say they are more important than the dates of death because they are the best marker for the effects of the disease. & # 39;
The problem was first noticed on June 18, when government scientists voiced their concern that non-Covid patients were included in the outbreak statistics, according to Sage protocols.
Public Health England, the NHS Medical Director and Professor Medley were asked to set up a group.
"So we saw from the death statistics that initially a 'Covid death' was defined as any death in which the person had previously tested positive," said Professor Medley.
“The same is true, but even more so for hospital admissions. To capture all possible manifestations of the disease at the start of the epidemic, all recordings from people who tested positive were counted as "Covid-related recordings". "
The NHS then began counting only coronavirus admissions as people who tested positive within a short period of time after entering the hospital starting July 1.
NHS England announced that the trendline for admissions has not changed since the method was changed.
However, it is unknown how many people were mistakenly registered as coronavirus patients before July.
And experts say the correct number is needed to find out mortality rates as well.
Prof. Heneghan added, “If approvals go up, it should trigger the ban. But right now you have people with active infections, those who tested positive but got discharged, and those who got it in the hospital, so it doesn't help.
“That really needs to be sorted out when we go into winter, otherwise we'll end up in this noisy position where we can't understand what's going on.
“There will be a lot of people with different conditions who survived this. So it's a big problem. It tarnishes our judgment of whether the disease is having a significant impact. & # 39;
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