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So the anomaly in Admitted for Covid - NHS England data.
1. We have two data sets, one shows the government dashboard daily admissions of covid-19 patients to hospital. The lower numbers are NHS England admitted for covid19 treatment.
1. We have two data sets, one shows the government dashboard daily admissions of covid-19 patients to hospital. The lower numbers are NHS England admitted for covid19 treatment.
2. The government include in their data, the original NHS admitted for covid treatment and, PCR tested patients admitted for another treatment but then test positive & other people who developed covid in hospital.
3. The two elements combined give a larger figure, but is this really accurate? Is the governments figures actually people in hospital being treated for covid, doubtful!
4. This looks like the government is counting everyone regardless of whether they need treatment for covid.
Including those who catch covid in hospital.
Including those who catch covid in hospital.
5. The NHS admitted for covid is the most accurate figure of community demand on the NHS from community transmission requiring medical intervention for covid.
This figure is 75% lower than the headline used by government and the media.
This figure is 75% lower than the headline used by government and the media.
6. The data
7. What this tells us is the story of pressure on the NHS is far more nuanced than the headlines we get as the public.
That the hard data indicates admitted for treatment from the community is 1 case in 4 and that all other cases are potentially linked to spread in hospitals.
That the hard data indicates admitted for treatment from the community is 1 case in 4 and that all other cases are potentially linked to spread in hospitals.
8. That the government needs to stop reporting just the headline figure and provide a more accurate figure of admitted for treatment for covid and asymptomatic not being treated for covid but in hospital with covid.
9. Reporting these two elements combined is potentially providing a false picture to the media and the public of NHS current demand.
Separate the data!!!
#abetterway
Separate the data!!!
#abetterway
10. Finally, this also might explain much of the positive PCR tests being reported if over a thousand per day are coming from inside hospitals. Are tiers justified now the data is more nuanced?
MPs take note. Time to ask more questions, perhaps?
MPs take note. Time to ask more questions, perhaps?
11. Ps data seen from inside NHS confirms oxygen use in NHS England hospitals is not growing which indicates this data has good merit.
Since the government released reasoning for tiers. They need to amend 2.5 para as their data is inflated.
What is disappointing is our MPs are making decisions on PCR numbers that are inflated or extrapolated, deaths that count non-covid deaths & admissions to hospital numbers that are also inflated.
Any MP who votes with the government tomorrow is doing so on very weak evidence.
Any MP who votes with the government tomorrow is doing so on very weak evidence.
Please tag your MP
So despite the evidence, 291 MPs voted to cause more harm to people, businesses and the nation.
Not surprised but extremely disappointed
Not surprised but extremely disappointed
