New analysis of the latest health care funding figures for England.
Updated following the 2025 Spring Statement, the #REALCentre looks at how current funding compares with historical levels and how it stacks up against what is needed to meet future pressures.
Read more ⬇️
It was me!
@yorkarchaeology.bsky.social
What is this pottery I dug up
In my garden? ChatGPT says “westerwald stoneware” from germany but I’m sceptical
Pretty amazing how quickly things are moving with modern AI tools. I created a whole report, data vis and even published it as a website with a few prompts using Claude 3.7 claude.site/artifacts/f5...
The fantastic Analysis Patient Data course (aka the HES data course) is back! Join us in York from 9 to 11 of June york.ac.uk/che/courses/... Myself, @petesivey.bsky.social , Adriana, Anastasia, Panos, Jinglin will teach you how to analyse these sets of data for research
Last week we were pleased to have @petesivey.bsky.social
visit us and give a seminar presentation. Peter presented work looking at the impact of NHS surgical hub openings on the volume, wait times and length of stay outcomes at NHS trusts.
Pretty amazing how quickly things are moving with modern AI tools. I created a whole report, data vis and even published it as a website with a few prompts using Claude 3.7 claude.site/artifacts/f5...
genuine problem
Great catch up with old Melbourne Institute friends last night in Carlton!
A chart in three parts showing data on child mortality to make the points that "The world is awful. The world is much better. The world can be much better. All three statements are true at the same time."
The world is awful. The world is much better. The world can be much better.
All three statements are true at the same time. Understanding this is key to solving big global problems.
We believe data & research can help us understand both the problems we face & the progress that’s possible. 🧵
yes I don't understand this. No way is that 39 sqkm. It looks 100+
This says crossrail is 13 miles? This also doesn't seem right. I googled and it's more like 70.
The Prime Minister has recommitted to the 18-week waiting time target for NHS elective care. This is a mistake. It avoids the necessary discussion on *prioritising* between different treatments and patients with different levels of need. www.bbc.co.uk/news/live/cr...
The takeaway message (for me) is that an 18 week target for all patients is unlikely to be the best way to target scarce NHS resources. A research-based approach to balancing efficiency and equity would lead to a range of waiting time targets for different patients/conditions.
Their report shows that prioritising patients to maximise health may have adverse implications for inequalities york.ac.uk/media/che/RS...
A research project by other colleagues in
CHE (Naomi Gibbs et al) has looked at prioritising waiting lists between different types of treatments, for example, hip replacement vs heart surgery vs gall bladder removal.
This paper by Panos Kasteridis, Luigi Siciliani
and myself shows the potential health benefits of a shorter waiting time target for patients with the worst pre-operative health (and highest health need). york.ac.uk/media/che/CH...
Recent research from CHE highlights the potential benefits for equity and efficiency of prioritising the waiting list more effectively.
The Prime Minister has recommitted to the 18-week waiting time target for NHS elective care. This is a mistake. It avoids the necessary discussion on *prioritising* between different treatments and patients with different levels of need. www.bbc.co.uk/news/live/cr...
Awesome new paper from some of my old mates in Australia showing how the roll out of Sky News Australia increased votes for conservative parties: docs.iza.org/dp17452.pdf#...
Kemi Badenoch at PMQs on Louise Haigh: “we need conviction politicians, not politicians with convictions.”
Keir Starmer: “two of her predecessors had convictions”
(reference to the Covid party fixed penalty notices for Johnson & Sunak)
We don't know the population though do we? Can see from the ages and SDs that this looks like working age (perhaps middle-aged) adults. Perhaps its working age adults with a particular diagnosis/history? Then the variables could be quite well matched..
seems weird to do a t test on a function of two of the other variables for which t tests are also reported though..
So is it appropriate to do a t test on BMI? I'm not sure. Otherwise the only thing I noted in the figures was that for Total Cholesterol, the two group means did not seem (even roughly) equidistant from the overall mean, which seemed suspicious to me.
I wasn't sure about the statement at the bottom reporting the results of tests for all the variables and noting only BMI was statistically different (one presumes at 5%). BMI obviously a function of weight and height which are reported separately (and not statistically different).
I'd be interested in the answer!
Actually I generally dislike trivia and charades..
"tries" to make nerdy cool.. thanks blueskyroast.com
A remarkable stat: Heidi Alexander’s appointment as Transport Secretary means the cabinet is now 100% state-educated for the first time in history.
