I used to be able to see past and current “problems/conditions”. They disappeared about a year ago and despite several requests haven’t come backMe too. Two weeks ago I could see my records, now I can't! It will only allow me to order meds like you. x
No but I bet the records have something slightly different to what you entered. Your calculations are very close to the cut off and a slightly different bmi for example could have tipped the balance. ( I think you’ve added an extra 0 in the absolute risk of death figures as the rest don’t match what you’ve typed)Does this take into account things on your record not just the calculator....
I got a shielding letter last week but going by the calculator I would not of (below 5 and 10)
The risk table
The table shows the absolute risk of catching and dying COVID-19 over a 90-day period based on data from the first peak of the pandemic. There is a comparison with the risk for a person of the same age and sex but with no risk factors. The relative risk is the absolute risk divided by this average risk.
Absolute risk (a) Absolute risk with no risk factors (b) Relative risk (a/b)
COVID associated death 0.0494% 1 in 2024 0.0089% 1 in 11236 5.5506
COVID associated hospital admission 0.2539% 1 in 394 0.0659% 1 in 1517 3.8528
In other words in a crowd of 10000 people with the same risk factors, 5 are likely to catch and die from COVID-19 and 25 to be admitted to hospital during a 90 day period similar to the recent peak.
The Body Mass index is 36.3 kg/m2
COVID associated death
The absolute risk of a COVID-19 associated death is 1 in 2024.
This is in rank 83 out of 100, where 100 is most at risk.
but also had massive probs with bloods before Xmas , have high blood pressure and cholesterol ??
Does this take into account things on your record not just the calculator....
I got a shielding letter last week but going by the calculator I would not of (below 5 and 10)
The risk table
The table shows the absolute risk of catching and dying COVID-19 over a 90-day period based on data from the first peak of the pandemic. There is a comparison with the risk for a person of the same age and sex but with no risk factors. The relative risk is the absolute risk divided by this average risk.
Absolute risk (a) Absolute risk with no risk factors (b) Relative risk (a/b)
COVID associated death 0.0494% 1 in 2024 0.0089% 1 in 11236 5.5506
COVID associated hospital admission 0.2539% 1 in 394 0.0659% 1 in 1517 3.8528
In other words in a crowd of 10000 people with the same risk factors, 5 are likely to catch and die from COVID-19 and 25 to be admitted to hospital during a 90 day period similar to the recent peak.
The Body Mass index is 36.3 kg/m2
COVID associated death
The absolute risk of a COVID-19 associated death is 1 in 2024.
This is in rank 83 out of 100, where 100 is most at risk.
- an absolute risk of 0.5% (or 5 in 1,000)
- a relative risk of 10 (or 10 times the baseline risk)
but also had massive probs with bloods before Xmas , have high blood pressure and cholesterol ??
Those scores don't matter. You need to look at the percentages. I could get above 10 relative (I.e. shielding level) by making myself younger. Which I still think is wrong but there you go...and it then gives GPs or whoever, the 'threshold' to assist them in deciding who gets told to shield. The threshold states 'those who fall into the top 2%' get the letter, so presumably that means those who 'score' 98/100? If anyone reached that level surely they would have already been shielding. I played about with the QCovid calculator and inserted a fair few different conditions, ages, weight etc and still only managed to get into the 80s. My real score was 78/100.
Those scores don't matter. You need to look at the percentages. I could get above 10 relative (I.e. shielding level) by making myself younger. Which I still think is wrong but there you go...
You aren't sounding thick. The qcovid does thatI know I sound a bit thick but how are you going to work out percentages?
You aren't sounding thick. The qcovid does that
So here's mine for example:
You aren't sounding thick. The qcovid does that
So here's mine for example:
Based on the values you posted earlier, absolute value > 0.5% or relative > 10%Mine came up with similar numbers I think but how do you work out whether that places you in this top 2% threshold?
Absolute risk (a) Absolute risk with no risk factors (b) Relative risk (a/b)
COVID associated death 0.0317% 1 in 3155 0.0071% 1 in 14085 4.4648
COVID associated hospital admission 0.2493% 1 in 401 0.0537% 1 in 1862 4.6425
This is mine. x
I wish I knew that trickby making myself younger..
Does this take into account things on your record not just the calculator....
I got a shielding letter last week but going by the calculator I would not of (below 5 and 10)
The risk table
The table shows the absolute risk of catching and dying COVID-19 over a 90-day period based on data from the first peak of the pandemic. There is a comparison with the risk for a person of the same age and sex but with no risk factors. The relative risk is the absolute risk divided by this average risk.
Absolute risk (a) Absolute risk with no risk factors (b) Relative risk (a/b)
COVID associated death 0.0494% 1 in 2024 0.0089% 1 in 11236 5.5506
COVID associated hospital admission 0.2539% 1 in 394 0.0659% 1 in 1517 3.8528
In other words in a crowd of 10000 people with the same risk factors, 5 are likely to catch and die from COVID-19 and 25 to be admitted to hospital during a 90 day period similar to the recent peak.
The Body Mass index is 36.3 kg/m2
COVID associated death
The absolute risk of a COVID-19 associated death is 1 in 2024.
This is in rank 83 out of 100, where 100 is most at risk.
but also had massive probs with bloods before Xmas , have high blood pressure and cholesterol ??
I have mixed feeling about postcodes and health assessments. Yes living in a socially deprived area does mean more chance of having poorer health outcomes. But if those health conditions (diabetes, obesity, smoking, etc) are already being counted in the algorithm then it’s double dipping the risk isn’t it? On the other hand the likelihood of working in occupations that expose you to more risk or living in crowded housing isn’t in this particular covid algorithm so it’s more relevant there. Surely addressing these issues individually for example looking at occupation and size of household, prevents huge assumptions being made the the risk actually being yours as opposed to an “average” of everyone around you.
Yes I know. Which is why I said occupation could easily (and should) be calculated separately. Possibly a yes no for using public transport regularly Eating less nutritious food would often lead to health conditions or obesity which are already counted.Apart from overcrowded, mouldy terraced housing more people work in factories or shops where they cannot work from home, and use public transport to get there. And many poorer people eat less nutritious food. So using a postcode linked to deprivation as a proxy is a quick way of capturing the areas plus conditions that lead to higher deaths.
Friend of mine who had GD.... maybe... for about 3 weeks..... 9 years ago had a letter - on querying it, the GD was on her notes as 9 months ago, not 9 years ago........ so not only does it seem to be really random, there are possibly quite a lot of people out there with errors on their GP notes that are causing issues!Errr.. I’ve been added to the new shielding list.
I am not diabetic, my BMI is 22. It was 30 when I was pregnant and it was last recorded as I had suspected gestational diabetes.
On my groups literally hundreds of previous GD pregnancies are reporting the same letter, but I can’t understand why diabetics aren’t told to shield, yet a previous gestational diabetes diagnosis are??
Has anyone been told to shield now?
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