Health & the NHS

Scotland's A&E Departments Treat 85% In Less Than 4 Hours Over Christmas

"NHS Scotland release weekly figures and in the week ending 29 December 2019, they treated an astonishing 85% within 4 hours. Even NHS England’s faked figures based on the inclusion of their small ‘Elastoplast’ units which typically return near to 100% data, only claimed 81.4% for November. In reality, their Type 1 departments only manged 71.3% at the end of a steady fall from a summer ‘high’ of 78.9%."

NHS Scotland's A&E Performance Outstrips All Other Parts Of The UK

"These are remarkable figures:

                        Seen within 4 hours               Waiting more than 12 hours

England           12 785 247, 81.5% (76.9%)     324 572, 2%

Scotland          1 252 051, 89.9%                    2 360, 0.2%

Wales              620 608, 75.2%                       45 757, 5.5%

N Ireland         434 468, 64.7%                       25 132, 3.7%


So, even as they stand, NHS Scotland’s figures are far superior. Perhaps most shocking, is the fact that you were 27 times more likely to have to wait more than 12 hours in a Welsh A&E department. You were only 10 times more likely to have done so in England and, at first glance, the 4-hour waiting time performance does not see that much worse but it’s a lie and for two reasons." But read on...

Hospital Complaints 28 Times More Common In England Than In Scotland

"How many patients are treated every year? NHS Scotland admitted and later discharged 1.2 MILLION people in 2017/18 alone. https://www.isdscotland.org/Health-Topics/Hospital-Care/Publications/2018-09-25/2018-09-25-Annual-QuarterlyAcuteActivity-Report.pdf? So, only 1 in every 3 529 complained or 0.028%.

How many complained In England? The total for 2017/18 was an astonishing 94 637. https://digital.nhs.uk/data-and-information/publications/statistical/data-on-written-complaints-in-the-nhs/2017-18 Assuming 12 million were treated (10 times the population) that’s 1 in every 127 or 0.78%!

This is a huge difference of clear statistical significance. What might explain it?"