Trial Report Cost Utility of Specialist Physiotherapy for Functional Motor Disorder (Physio4FMD), 2025, Hunter, Stone, Carson, Edwards et al

regarding the cost-effectiveness paper, I'm a bit perplexed about an intervention with null results that is still found to be "cost-effective." How does that work??
They divided the marginal cost relative to CAU by the marginal effect relative to CAU, and found that the cost per effect per person per year was slightly lower than the £20,000 limit that is commonly used by the government.

I briefly looked at the calculations (but I did not double check their sources) and I believe they add up except for one number I was unable to trace in the document.

The fatal flaw in their analysis is that they assumed that any positive effect would be meaningful regardless of the size. That is obviously not true, which is why we have MCID.

So they are essentially arguing that the government should spend a lot of money on something that isn’t going to make any meaningful difference. I would not be surprised if you would have seen a better result of if you just gave the participants the money that the intervention cost.
 
I know it’s a joke, but that calculation would probably favour insulin due to the cost of the deaths that would occur in the other group.

Sorry, I’m an economist so I can’t stop running the numbers :banghead:

*As long as you ignore morbidity and mortality.
It seems like the only books that matter are the ones from the insurance company
 
I know it’s a joke, but that calculation would probably favour insulin due to the cost of the deaths that would occur in the other group.
Deaths only reduce the value of the 'stare at the wall' treatment if it is acknowledged that the deaths had something to do with the treatment.

In the Physio4FMD case, there was a death reported during the trial in the active treatment group. The researchers ruled it as unrelated to the treatment and so it wasn't counted in the economic model. The cost of any subsequent deaths due to harm caused by the trial treatment won't be included either, because no one will be counting them.

Deaths due to gaslighting, broken self-esteem and hopelessness are a whole lot easier to claim to be unrelated than deaths due to diabetic ketoacidosis.
 
Deaths due to gaslighting, broken self-esteem and hopelessness are a whole lot easier to claim to be unrelated than deaths due to diabetic ketoacidosis.
Joanne Hunt and others argue that the state is committing democide through those mechanisms. I’m inclined to agree with them.

Edit: so yes, the calculations would be different for ME/CFS if we include all costs and not just the ones that the government wants to consider.
 
It seems like the only books that matter are the ones from the insurance company
Even then, they have to operate on a limited time frame. Over 5 years it makes sense. At 10 it starts making a lot less sense. At the 20-30 years range, developing solutions so that the problem effectively ceases to exist because it's routinely treated makes much more economic sense.

They still end up paying a lot. It's a small fraction of it, but the alternative of paying nothing obviously makes more sense, but that would require long-term thinking and policies. Governments are just as much to blame about this. Where even in an industry that needs to have long-term stability, they still mostly focus on the next quarter earnings, governments are often even more myopic in that they know they will be out of power if, and when, by the time someone clues on what they did.
 
Joanne Hunt and others argue that the state is committing democide through those mechanisms. I’m inclined to agree with them.

Edit: so yes, the calculations would be different for ME/CFS if we include all costs and not just the ones that the government wants to consider.
No question about that, IMO. It's very clearly eugenicist policies. And just because everyone enforces them doesn't make them any less than what they are. We are, in realpolitik terms, undesirables, disposable.

Even though it would pay for itself many times over to work out solutions instead. Humanity is just this constant struggle between doing good things and kicking others in the face on an industrial scale.
 
They divided the marginal cost relative to CAU by the marginal effect relative to CAU, and found that the cost per effect per person per year was slightly lower than the £20,000 limit that is commonly used by the government.

Right, but beyond that...they added up so many various items and it's hard to tell how accurate these accounts are and also whether they really reflect whether or not someone did or did not get the intervention. It all seems pretty arbitrary.
 
Right, but beyond that...they added up so many various items and it's hard to tell how accurate these accounts are and also whether they really reflect whether or not someone did or did not get the intervention. It all seems pretty arbitrary.
Absolutely! If you ask an accountant what this year’s result is they’ll ask you «what do you want it do be?»

That’s a bit of a joke of course, but it’s very easy to manipulate an analysis like this. And even when you do your honest best, there’s no guarantee that the analysis is exhaustive or representative.
 
Right, but beyond that...they added up so many various items and it's hard to tell how accurate these accounts are and also whether they really reflect whether or not someone did or did not get the intervention. It all seems pretty arbitrary.
One big problem, IMO, is how they used a tiny marginal difference, and extrapolated from that:
the adjusted mean health and social care cost per participant for specialist physiotherapy was £3,814 (95% CI £3,194–£4,433) compared with £3,670 (95% CI £2,931–£4,410) for TAU
This amounts to about a 4% difference, when the total costs will often vary by more than that. It's far too small to extrapolate anything, especially on a measly 0.03 QALYs. It's the kind of thing that academics should genuinely laugh at, if amateurs did it, use as an example of how to be bad at doing their job.
 
One big problem, IMO, is how they used a tiny marginal difference, and extrapolated from that:

This amounts to about a 4% difference, when the total costs will often vary by more than that. It's far too small to extrapolate anything, especially on a measly 0.03 QALYs. It's the kind of thing that academics should genuinely laugh at, if amateurs did it, use as an example of how to be bad at doing their job.
This difference showed that TAU cost less.

What they «showed», is that they can add 1 QALY at a rate of less than £20,000 per person per year, so they argue that it’s «profitable» from a societal economics perspective.

One thing that I just thought of now is that I don’t remember that they showed any actual savings in terms of lower expenditures etc. as a result of this increased QALY. So they are arguing that the government should pay for something with no meaningful benefit to the patient, and that doesn’t save them any money, just because the cost is low enough relative to the meaningless effect for the patients.
 
The cost-effectiveness article tried to explain why the CGI-I scale is better than SF-36 as a primary outcome. They say this:

"The secondary outcome, the patient-reported Clinical Global Impression Improvement score, allows for a broader assessment of potential impacts that specialist physiotherapy can have across various aspects of patients’ lives, including the cost impact, thus capturing a wider range of outcomes. It is notable that consensus recommendations for outcome measures in FND (published after this trial was planned) have recommended the patient-reported Clinical Global Impression of Improvement as the primary outcome measure in trials of interventions in FND.”

But that second sentence about consensus recommendations appears to be untrue. (The first sentence is an opinion, and it doesn't make a lot of sense to me--curious what others think.) The reference for these consensus recommedations is this article from 2020--several of the authors are also co-authors of the FMD trial. This consensus document does not say what the FMD cost-effectiveness paper claims, at least that I can find.

It lists multiple domains of outcomes with recommended measures for each domain. The CGI-I is listed as recommended for the domain of "core FND symptoms." But the SF-36 is the recommended one for studying "life impact." So to present this as if the SF-36 should be viewed as the "wrong" outcome to select for the primary outcome is misrepresenting the recommendations.

Does anyone see anything in the referenced consensus recommenndations that supports the claim that they have flatly recommended the CGI-I "as the primary outcome measure in trials of interventiosn in FND"???
 
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The reference for these consensus recommedations is this article from 2020--several of the authors are also co-authors of the FMD trial. This consensus document does not say what the FMD cost-effectiveness paper claims, at least that I can find.
There is so much wrong with that paper - I don’t even know where to start…

The tables make it pretty clear that CGI is about core symptoms, and SF-36 is better suited for life impact:
IMG_0135.jpeg IMG_0136.jpeg
As far as I can tell, there are no recommendations about the primary outcome of all the primary outcomes.

And it’s certainly wrong to say that CGI is broader than SF-36!

Here are some of the relevant bits about SF-36:
Prospective cohort observational studies
(…)
In terms of life impact, quality of life and disability were measured in 19 studies, with the SF-36 being the most consistently adopted measure (k=11).
Life impact
Short Form Health Survey-36 & Short Form Health Survey-12 (SF-36 and SF-12)

The SF scales were the most consistently used of all measures in these studies (most often SF-36).
Life impact:

The most common measure of life impact was the SF-36. This measure has the advantage of assessing patients’ subjective perceptions of overall health status, aspects of disability, and physical and mental health in a single measure, and can also be used for the derivation of QALYs. A key benefit of the SF-36 for use in FND is its multidimensional nature; it is possible to examine outcomes on eight specific subscales, depending on the goals and modality of a given treatment. Again, there was a paucity of reliability and validity data in FND samples, but there is considerable evidence for responsiveness, with most studies reporting significant treatment effects on at least one SF-36 domain. The SF-36 has also been well-validated across clinical populations and cultures.[S80-S82]
The EQ- 5D- 5L and SF-36 allow the derivation of QALYs and associated costs.[S83, S84]

I actually found this bit quite interesting:
However, another noted no significant associations between clinician- rated CGI- I and SF-36 or HADS scores,[S31] suggesting weak convergent validity with these outcome domains.
This could possibly indicate that perceived symptomatic improvements doesn’t actually make them function any better.
 
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