ao link
Business Reporter
Business Reporter
Business Reporter
Search Business Report
My Account
Remember Login
My Account
Remember Login

What healthcare gets wrong about value

Sponsored by HEOR
Linked InXFacebook

Phil McEwan, CEO, HEOR


When a healthcare system decides whether to fund a new treatment, the question it asks is almost always the same: is this technology good value for money compared with what we already have? It is a reasonable question, but also, in many cases, myopic.

 

At HEOR, we are aware that healthcare decision makers apply rigorous analysis within the confine of their remit and, as a result, can miss most of what really matters. The problem is not that those decisions are irrational. It is that the frameworks used to make them are structurally isolated.

 

The key challenge is that there is no single, unifying definition of value in healthcare. It depends entirely on who you are asking. A payer may be focused on managing the pharmacy budget. A clinician on outcomes for their patient. A patient wants the drug to work and not make them feel worse. All these perspectives are valid, but none capture the whole picture.

 

A new technology gets evaluated against the current standard of care, in a defined patient population, within a fixed budget horizon. What it does to hospital capacity in five years, or to a carer’s ability to stay in work, or to the downstream opportunity cost of a complication that never happens, is not considered in the calculation.

 

What we do at HEOR is build the whole picture. That means understanding not just whether a technology is cost-effective in isolation, but how its value evolves within a dynamic population, a changing treatment landscape and healthcare systems under pressure. As interventions and decision points invariably get looked at in isolation, it is important that decision-makers see the full spectrum of consequences of the choices being made now. That is the gap we work to close.

 

The current debate about GLP-1 receptor agonists, a class of weight loss drugs, is a clear example. The clinical evidence for their utility is compelling, and the cost-effectiveness assessments have been favourable, but payers are hesitating, because the eligible population is so large that the budget impact looks prohibitive.

 

That concern is understandable, but it is asking only half the question. One of the persistent challenges in healthcare is that we rarely think seriously about the cost of not treating someone, and that cost is often higher than the cost of treatment. Obesity is not a discrete condition, it is a driver of cardiovascular disease, kidney disease, liver disease, type 2 diabetes and a range of surgical ineligibilities.

 

Consider a patient who cannot have a knee replacement because their weight makes the procedure too risky. They are not simply someone waiting for surgery, they are accruing comorbidities, consuming primary care resource and potentially leaving the workforce. When viewed in that context, the weight loss intervention is not a treatment for obesity. It is a bridge to everything else. The value driver is not weight-loss for its own sake but enabling the outcome that was really needed.

Antimicrobial resistance makes the same point from a different angle, and with even higher stakes. To bring a new antibiotic to market costs between one and two billion dollars. The clinical evidence required will typically show the drug is at least as effective as existing treatments. So, a payer is being asked to pay a significant premium for something that, on paper, does the same thing.

 

From a conventional value for money perspective, that doesn’t seem logical, but the true value of a new antibiotic is not in the clinical trial results. It is in the fact that it carries no resistance in clinical practice, meaning that it remains effective when other treatments have failed. That value is entirely invisible to the standard assessment framework.

 

There is a second problem. The pharmaceutical business model is built on reimbursement by volume. An antibiotic that works precisely because it is held in reserve and used sparingly generates almost no revenue. The result is a market that systematically underinvests in the drugs most likely to matter when they are needed. Both the value framework and the commercial model fail simultaneously, and the World Health Organisation has identified the consequences as one of the most significant threats to global health.

 

These are not edge cases, they are illustrations of a wider structural problem. Until evaluations take into consideration the broader, system-wide context, population dynamics, downstream consequences and the cost of inaction, healthcare systems will continue to make locally rational but systemically suboptimal decisions.

 

At HEOR, we build the analytical infrastructure to ask a better question: what is the true value of doing something differently, given everything we know about the problem as it exists right now? That requires mathematical disease models that project population dynamics over time, systematic literature reviews that map the full burden of a condition, and scenario analysis that makes the consequences of different decisions visible.

 

The technologies that will define the next decade of healthcare – cell and gene therapies, targeted individualised medicines, AI assisted diagnostics – will test every existing framework for assessing value. To get the outcomes that any healthcare system needs, decision-makers must make a co-ordinated set of choices, with one eye on those broader value drivers. HEOR exists to make that possible.


Facing a reimbursement challenge? Talk to HEOR

Sponsored by HEOR
Linked InXFacebook
Business Reporter

Winston House, 3rd Floor, Units 306-309, 2-4 Dollis Park, London, N3 1HF

23-29 Hendon Lane, London, N3 1RT

020 8349 4363

© 2025, Lyonsdown Limited. Business Reporter® is a registered trademark of Lyonsdown Ltd. VAT registration number: 830519543