M10 · BUDGET IMPACT

Two questions, not one.

Everything from Module 5 onward answered a single question, asked a dozen ways: is this worth it? Is the health gain worth the cost — the ICER against the threshold, net benefit, the whole apparatus of cost-effectiveness. It's the question that decides whether a technology is good value.

But a payer with a fixed annual budget has a second question, entirely separate, that a technology can fail on its own terms: can we afford it? Not "is each unit of health good value?" but "if we say yes, how much money actually leaves the budget — this year, next year — and is that sum survivable?"

These are different questions, and — this is the crux of the whole module — a technology can pass one and fail the other. Answering the second is budget impact analysis (BIA), and it's what stands between a favourable cost-effectiveness verdict and an actual "yes."

A tale of two drugs.

Take two drugs. Both have been through a full cost-effectiveness analysis and both come out at an ICER of £20,000 per QALY — comfortably cost-effective, identical value for money. On the "is it worth it?" axis, they are the same drug.

Now look at what they cost the system.

Identical value. A thousand-fold difference in the bill. Drug A is a rounding error; Drug B could consume a meaningful slice of an entire national drug budget. The cost-effectiveness analysis — which said they were the same — is completely silent on this thousand-fold gap. Something else has to speak to it.

The ICER divides; the BIA multiplies.

Why can two identically cost-effective drugs cost so wildly differently? Because the two analyses do opposite arithmetic.

The ICER divides. It's incremental cost per QALY — a cost spread over a unit of health, calculated for a single patient against a single comparator. It's a rate: the price of one unit of value. Dividing by the health gained deliberately washes out the scale — a rate doesn't care whether one patient or a million receive it.

The BIA multiplies. It's the extra cost per patient, times the number of patients, summed into a total cash figure. It's not a rate — it's a sum. And multiplication is exactly where scale re-enters: the population size that the ICER divided away is the very thing the BIA multiplies by.

So a low ICER and a colossal budget impact aren't in tension at all. The drug buys health cheaply per unit — and buys an enormous amount of it. Cheap per unit, vast in total: exactly like an inexpensive item bought by the millions. The rate is excellent; the bill is still staggering.

Four things that differ.

Cost-effectiveness analysis and budget impact analysis aren't two flavours of the same thing — they differ on almost every axis that matters:

Same technology, two analyses, two genuinely different pictures. A payer needs both before saying yes.

Value versus affordability.

Two independent axes, two independent verdicts. The horizontal axis is value — the ICER, judged against a £30,000 threshold. The vertical axis is affordability — the annual budget impact, judged against an illustrative £20 million ceiling. Move the sliders and watch which of the four quadrants the technology lands in.

(This is not the cost-effectiveness plane from Module 7 — the axes here are the verdicts of two whole analyses, not ΔEffect and ΔCost.)

Cost-effective & affordableGood value, unaffordableAffordable, poor valueNeither£5k£20k£30k£45k£60k£1M£10M£20M£100M£1bn£3bnICER (value) →Annual budget impact (affordability) ↑
ICER (value)£20,000
Eligible population (scale)200,000

Annual budget impact: £1.6bn

ICER £20,000 → cost-effective · Population 200,000 × £8,000 = budget impact £1.6bn → affordable · Verdict: GOOD VALUE, BUT UNAFFORDABLE

Keep the ICER fixed at a healthy £20,000 and just drag the population up. The value verdict never changes — it's still cost-effective at every population — yet the technology slides from comfortably affordable into wildly unaffordable. That single movement is the whole lesson: value and affordability are separate axes, and a drug can be excellent on one while catastrophic on the other. The ICER slider can't rescue the budget, and the population slider can't spoil the value.

Now you.

A new therapy costs £12,000 per patient per year more than current care. An estimated 15,000 patients are eligible.

What is the annual budget impact? (Enter it in pounds, a plain number.)

Why cost-effective drugs get rejected.

Here's the consequence that surprises people new to HTA: a drug can be waved through on cost-effectiveness and still be turned down — or admitted only on conditions — because of budget impact. That isn't a contradiction or a mistake. It's the two axes doing their separate jobs.

The reason is the shape of a real budget. A payer's drug budget is fixed and annual — a pot of money for this year. Cost-effectiveness speaks in lifetime value: the QALYs a patient will accrue over decades, discounted back. But a budget-holder can't pay this year's bills with a patient's future lifetime value. They need the cash, now, and if a cost-effective drug demands £1.6 billion of it in year one, "it's great value" doesn't make the money appear. Something else in the budget would have to give — the opportunity cost from Module 7, made brutally concrete.

This is precisely why a cost-effective but budget-busting drug so often enters through a side door rather than a flat yes: the payer and manufacturer negotiate a managed entry or risk-sharing arrangement — a confidential discount, a cap on total spend, a price-volume deal — that shrinks the budget impact without touching the headline ICER. The value was never the problem; the affordability was. (Those agreements are a Module 12 topic — for now, just note why they exist: to bend the BIA when the CEA already passed.)

The rarer mirror image.

The famous case is "cost-effective but unaffordable." The mirror image is rarer but just as instructive, and it proves the two axes are truly independent — in both directions.

Picture a cheap drug for a tiny population: it costs very little extra per patient, and only a few hundred people are eligible, so its budget impact is trivially affordable — the payer would barely notice it. But suppose its ICER lands just above the threshold — its health gain, per pound, is marginally poor value. Here the affordability verdict is a comfortable yes and the value verdict a narrow no. A payer could reasonably fund it anyway — the sum is so small the value question hardly bites — but strict cost-effectiveness would say reject.

The point isn't which way any particular case tips. It's that the two verdicts can disagree in either direction: cheap-but-poor-value just as much as good-value-but-unaffordable. Value and affordability are genuinely orthogonal — knowing one tells you nothing about the other. Which is exactly why a serious appraisal computes both, and never lets one stand in for the other.

What's the most likely reason?

A new drug for a common chronic disease has an ICER of £18,000 per QALY — clearly below the threshold. But it would be prescribed to 400,000 patients, at an incremental cost of £5,000 each per year. The payer's committee, despite the favourable ICER, refuses a straightforward approval. What's the most likely reason, and which analysis reveals it?

Why this matters for HTA

Budget impact is where a technically favourable appraisal meets financial reality, and reading the two analyses as separate is one of the most important habits an assessor can build.

Cost-effectiveness asks whether a pound spent buys enough health. Budget impact asks whether the pounds exist to spend. A technology has to be true on both — and the whole discipline of the payer's "yes" lives in the gap between value and affordability.

Budget impact: a different question, in one breath.

Good value and affordable are not the same sentence. The ICER can tell you a drug is worth buying; only the budget impact can tell you whether you can pay for it.

We've established that budget impact hinges on one number above all — how many patients will actually receive the technology, and how fast. That number is anything but obvious: eligible isn't the same as treated, and uptake builds over years. Pinning it down — population, uptake, and the time horizon — is the machinery of the next lesson.