Charles Tallack
@charlestallack.bsky.social
3K followers 430 following 340 posts
Senior Fellow @HealthFdn. Ex-Whitehall civil servant & NHS England. Love ideas, numbers, analysis, evidence, debate and challenge. Views my own.
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Reposted by Charles Tallack
jappleby123.bsky.social
Those confidence intervals in full!
charlestallack.bsky.social
So sorry to hear this Sam and wishing you all the best.
charlestallack.bsky.social
You started off talking about people you know. Now you're talking about friends, which is even more prescriptive.
Do most people really know how everyone they know votes? I don't tell everyone I know!
charlestallack.bsky.social
It’s not clear why appointments are growing faster than growth in completed pathways. More diagnostic tests per pathway is a longstanding trend linked to rise in demand for diagnostic tests. But 9% growth in outpatients, when there's a drive to avoid unnecessary outpatient appointments, is puzzling.
charlestallack.bsky.social
If the ratio had been maintained at 3.9, completions pathways would have grown by 7.9% or 1.16m rather than 344,000. Under this hypothetical scenario, the waiting list would have been 820,000 smaller.
charlestallack.bsky.social
Completed pathways increased by 2.3% vs 7.9% for appointments. They haven’t risen as quickly as appointments because appointments per completed pathways has increased from 3.9 in July 23 – April 24, to 4.1 a year later.
charlestallack.bsky.social
Second – how have the extra appointments translated into completed pathways (treatments) from the waiting list?
charlestallack.bsky.social
First – is it a notable achievement? 4.6m extra appointments is an increase of 7.9% (table 1). But applying exactly the same approach to the previous year, (ie Jul 23 – Apr 24) the growth in appointments under the Conservatives was 5.5m, an increase of 10.5% (table 2).
charlestallack.bsky.social
The methodology is sound (they standardise baseline to adjust for different working days). Some might quibble that the growth is artificially inflated because of strikes in the earlier period. But there are other issues.
charlestallack.bsky.social
4.6 million is the number of appointments between July 2024 and April 2025 in excess of the number delivered in the same period in the previous year. It’s all set out in an NHS E publication.
www.england.nhs.uk/statistics/s...
Statistics » Recovery of Elective Activity
Statistics » Recovery of Elective Activity
www.england.nhs.uk
charlestallack.bsky.social
If the elasticity turns out to be as HMRC estimate, the measure wouldn't raise much money (from gamblers), but it would reduce gambling, including that which causes harm?
Reposted by Charles Tallack
jobibby.bsky.social
How can the government meet its commitment to halve the gap in healthy life expectancy between regions?

Reading this excellent summary of some of the @healthfoundation.bsky.social latest analysis from @charlestallack.bsky.social would be a good place to start!

⬇️⬇️⬇️
charlestallack.bsky.social
In its 10 Year Health Plan, the government recommitted to halving the gap in healthy life expectancy (HLE) between the poorest and richest regions. But how? Our new analysis with the ONS points to the underlying factors which any plan will need to take account of. 🧵
Reposted by Charles Tallack
charlestallack.bsky.social
100% agree with that. The government's approach so far, and measures in the 10 year plan, place far too much emphasis on personalised prevention approaches.
These can be beneficial but won't work at the scale necessary to address the vast health inequalities
charlestallack.bsky.social
(2) reducing the link between socioeconomic factors and the proximate causes of ill health (eg smoking, alcohol, diet/obesity, physical activity). This will require both population level approaches (eg regulation of unhealthy food) and more targeted interventions (eg weight loss).
charlestallack.bsky.social
Given the importance of socioeconomic factors, narrowing the difference in healthy life expectancy between regions will require both: (1) reducing socioeconomic inequalities e.g. through regional investment and economic development; and
charlestallack.bsky.social
What does all this mean? It’s well known that socioeconomic factors are amongst the most important wider determinants of health. But this analysis uniquely quantifies their impact drawing on individual level Census data.
charlestallack.bsky.social
These are the baseline and adjusted rates (for socioeconomic factors etc) for local authorities in all regions. When adjusted, around half have lower rates than Richmond. Compared to those in other regions, authorities in the North East do well.
charlestallack.bsky.social
This chart shows how the premature mortality rates of local authorities in the NE compare to those in Richmond. Some LAs have rates more than twice as LA.
But if the LAs had the same socioeconomic and ethnicity make-up as Richmond, all except Darlington would have lower rates.
charlestallack.bsky.social
They estimated what the premature mortality rate of each local authority would be if they had the same population make-up, on these characteristics, as Richmond upon Thames. This is uniquely possible through ONS’s linkage of Census 2021 to death on deaths.
charlestallack.bsky.social
What explains these differences? ONS looked at the contribution of individuals’ occupation, education level, deprivation level of the area in which they live, ethnicity and migration status (born in the UK or not).
charlestallack.bsky.social
Unsurprisingly, the ONS analysis shows premature mortality rates (adjusted for differences in age and sex) in the North East are higher than those any other region.

Amongst all local authorities, Richmond-upon-Thames has the lowest premature mortality, Blackpool the highest.