There follows a guest post from our in-house doctor, formally a senior medic in the NHS, analysing the latest NHS England data packet.
Once a month, the NHS releases a more detailed summary of COVID-19 related data than provided in the regular daily updates. Although the data set is far from complete, the monthly packets provide a better impression of what is really happening in hospitals than the daily snapshot. I find this month’s information particularly interesting. Apologies in advance to readers for reverting to a more data-driven ‘chart fest’ format for my latest contribution – but stick with it, because there are some important messages here which have not been widely reported so far.
Take a look at Graph One. This rather complicated graphic shows daily admissions in the vertical orange bars and paired daily discharges in the vertical blue bars. Readers will notice that on every day between April 7th and June 30th, there were more discharges than admissions.
The grey line with the secondary y-axis to the right of the chart shows the total number of ‘COVID-19’ patients in hospital on each given day. For the first period from April 7th to May 25th, this was on a falling trend – that’s what one would expect if there were more discharges than admissions each day.
From May 26th to the end of June, however, the total number of patients in hospital ‘with COVID-19’ was on an upward trend – but on each day of the series, there were still more discharges than admissions. How can that be?
I’ve discussed this issue with colleagues and there are only three interpretations we can think of. One is that there are a very large number of patients contracting COVID-19 in hospital who came into hospital without the virus. The second is that some of the ‘discharges’ are in fact patients who were never admitted to hospital at all, but seen in A&E and then sent home. The other is that the data quality is very poor and gives a misleading impression of the true picture.