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The Wrong Diagnosis

Mental health claims are surging. Mental health spending isn’t. What the government won’t tell you about PIP.

Dan McEvoy · 2026-02-02 20:46 · 1 claps · 9.5 min read
#disability #uk-policy #dwp
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Wiki topics: CLI · Clinical Medicine PSY · Mental Health & Psychiatry 🏛️ · Politics ✊ · Equality & Identity

The Wrong Diagnosis

Mental health claims are surging. Mental health spending isn’t. What the government won’t tell you about PIP.

In March 2025, the UK government announced sweeping reforms to Personal Independence Payment (PIP), the main disability benefit for working-age adults. The justification was simple: costs are spiralling, mental health claims are surging, and the system is unsustainable.

There’s just one problem with this narrative. The Department for Work and Pensions (DWP) publishes detailed statistics on how many people claim PIP for each type of condition — but it doesn’t publish how much money goes to each condition. That’s not an oversight. It’s a choice.

This article reconstructs what the DWP won’t tell you. Using published claimant numbers, average award data, and award-level distributions, we can estimate where PIP money actually goes. The picture that emerges is quite different from the political rhetoric.

What is PIP and How Does It Work?

Personal Independence Payment is a benefit designed to help with the extra costs of living with a long-term health condition or disability. It’s not means-tested — your income and savings don’t affect eligibility — and it’s not dependent on whether you work. The idea is that disabled people face additional costs (adapted equipment, taxis when you can’t use public transport, help with daily tasks) regardless of their employment status.

PIP replaced Disability Living Allowance (DLA) for working-age adults from 2013 onwards. Unlike DLA, which was largely based on self-assessment, PIP requires most claimants to undergo a functional assessment conducted by a private contractor (currently Capita or the Independent Assessment Services, formerly ATOS).

The benefit has two components: Daily Living (for help with everyday tasks like cooking, washing, dressing, and managing medications) and Mobility (for help getting around). Each component can be awarded at a standard or enhanced rate, depending on how severely your condition affects you. The maximum award — both components at the enhanced rate — is currently £187.45 per week, or £9,747 per year.

To qualify, you’re assessed on specific daily living and mobility activities and awarded points based on how much difficulty you have. Eight points gets you the standard rate; twelve or more gets the enhanced rate. This points-based system is crucial to understanding the statistics, as we’ll see.

The Numbers Everyone Cites

As at April 2025, there were 3.7 million people claiming PIP in England and Wales. Total annual expenditure is approximately £20 billion, projected to rise to £27–28 billion by 2028/29. Around 37% of claimants receive the maximum award.

The headline statistics on conditions look like this:

Psychiatric disorders account for 38% of all claims — far more than any other category. This is the number that drives the political narrative. Ministers point to it as evidence that mental health claims are overwhelming the system.

But claimant numbers aren’t the same as expenditure. And here’s where it gets interesting.

Understanding Award Levels

Not all PIP awards are equal. The weekly payment depends on which components you receive and at what rate. Here are the current figures:

The gap between minimum and maximum is substantial. Someone receiving only the standard rate of Daily Living gets £73.90 per week (£3,843/year). Someone receiving both components at enhanced rates gets £187.45 per week (£9,747/year) — more than 2.5 times as much.

This matters because different conditions cluster at different award levels. And mental health conditions, despite their numerical dominance, tend to cluster lower.

The Key Insight: Volume ≠ Expenditure

Psychiatric conditions dominate the caseload — the largest single category by far — but the available evidence suggests they account for a smaller share of total expenditure, probably around 30–32%. Here’s why:

Lower average awards

Research linking NHS mental health records with DWP benefits data found that mental health claimants receive an average of approximately £125 per week. That’s below the overall PIP average of £130–140 per week. The difference might seem small, but across 1.4 million claimants, it adds up to hundreds of millions of pounds.

Historically denied enhanced mobility

Until a High Court ruling in December 2017, claimants couldn’t receive the enhanced rate of the mobility component for “psychological distress” — only for physical mobility difficulties. The court described this restriction as “blatantly discriminatory” against people with mental illness. Although the ruling changed the policy, its effects persist in the caseload data, with mental health claimants less likely to have enhanced mobility than physical health claimants.

Shorter award periods

83% of psychiatric disorder awards are short-term (0–2 years) with mandatory reassessment. Compare that to musculoskeletal conditions (52% on 5+ year awards), neurological conditions (53%), or visual impairments (65%). Shorter awards mean more reassessments, more opportunities to have awards reduced or removed, and more administrative churn.

Higher rejection rates

A 2019 study in the British Journal of Psychiatry found that mental health claimants transferring from DLA to PIP were 2.4 times more likely to have their existing entitlement removed than claimants with musculoskeletal conditions, neurological conditions, or diabetes. For claimants with ADHD specifically, the figure was 3.38 times more likely. The assessment system appears to systematically disadvantage psychiatric conditions.

Reconstructing the Expenditure Picture

Using published claimant counts, reported average awards by condition type, and award-level distributions, we can estimate where PIP money actually goes. These figures are necessarily approximate — the DWP has the exact data and chooses not to publish it — but they give a clearer picture than claimant numbers alone.

The picture is striking. Psychiatric conditions account for over a third of claimants but an estimated 32% of expenditure. Musculoskeletal conditions show the opposite pattern: 31% of claimants but 34% of expenditure. Visual and sensory impairments, at just 2% of claimants, punch well above their weight in per-capita spend because they reliably attract enhanced awards.

If mental health were truly “driving costs” in the way politicians suggest, you’d expect psychiatric conditions to account for more than their share of expenditure, not less. The data suggests the opposite: mental health claimants are, on average, cheaper than physical health claimants.

The Comorbidity Problem: Why ‘Primary Condition’ Is Misleading

There’s an even deeper problem with the statistics. Every PIP claimant is assigned a single “primary condition” — whichever the assessor records as most functionally significant. But disability rarely works that way. Most people with long-term health conditions have several, and those conditions interact.

This isn’t just an academic concern. The way conditions are classified directly shapes the political narrative — and it’s systematically misleading.

How the Assessment Actually Works

PIP is a points-based system. The assessor doesn’t simply decide which condition is “worst” — they score you on twelve specific activities across Daily Living and Mobility. Each activity has a set of descriptors worth different points. Your primary condition is recorded as whichever contributes most to your overall score.

This creates a systematic bias toward recording mental health as the primary condition, even when physical health problems are the root cause. Here’s why.

The Daily Living activities are: preparing food, taking nutrition, managing therapy, washing and bathing, managing toilet needs, dressing, communicating verbally, reading and understanding signs, engaging with others face-to-face, and making budgeting decisions. The Mobility activities are: planning and following journeys, and moving around.

Physical conditions tend to score heavily on: preparing food, washing, dressing, managing toilet needs, and moving around. These are the activities where mobility limitations, dexterity problems, and pain most obviously affect function.

Mental health conditions tend to score heavily on: engaging with others, making budgeting decisions, planning and following journeys, and reading/understanding information. These are the activities where cognitive difficulties, anxiety, and social functioning problems show up.

Now consider what happens when someone has both.

A Worked Example

Take a 52-year-old with chronic back pain following a workplace injury. The pain has been partially managed with medication for years. Over time, reduced mobility led to weight gain and eventually Type 2 diabetes. The combination of chronic pain, medication side effects, and health anxiety triggered depression. Sleep is now disrupted by pain, which worsens both the depression and diabetes management.

At assessment, this person might score:

• Preparing food: 2 points (needs aids due to standing difficulties — physical)

• Washing/bathing: 2 points (needs aids for bath — physical)

• Dressing: 2 points (needs aids — physical)

• Managing therapy: 4 points (needs prompting to take medications — mental health)

• Engaging with others: 4 points (needs prompting to engage — mental health)

• Budgeting decisions: 2 points (needs prompting — mental health)

• Planning journeys: 4 points (cannot plan any journey — mental health)

• Moving around: 4 points (can stand/move 50–200m — physical)

Total: 24 points, qualifying for enhanced rates on both components.

Of those 24 points, 14 come from activities where mental health is the limiting factor, and 10 from activities where physical health is. The assessor records “psychiatric disorder” as the primary condition — even though the back pain caused everything else, is still present, and still limits function.

In the statistics, this person appears as a mental health claimant. The cascading physical causes disappear.

Why This Matters for Policy

It artificially inflates the “mental health” category. When someone has chronic pain AND depression, the assessment often records “psychiatric” as primary — not because depression is more severe, but because it happens to score more points on the specific descriptors. The physical condition that caused the depression goes unrecorded.

It hides the physical roots of mental health claims. Research consistently shows chronic physical conditions are major drivers of depression and anxiety. Chronic pain, in particular, has extremely high rates of comorbid mental health problems. Treating these as separate categories misrepresents causation.

It makes targeted reform impossible. If you tighten eligibility for “psychiatric” conditions, you’re also tightening eligibility for people whose mental health problems stem from physical disability, chronic pain, or neurological disease. You can’t surgically remove one without affecting the other.

It obscures the true cost drivers. Is the person expensive to the system because of their depression, or because of the underlying back injury that caused it? Should we be investing in mental health services, or in preventing workplace injuries, or in better pain management? The data can’t tell you, because the data doesn’t capture the reality.

Common Comorbidity Patterns the Data Hides

Clinical research shows clear patterns of conditions that typically occur together. None of this complexity appears in PIP statistics:

The political narrative that mental health claims are somehow separate from “real” physical disability ignores this clinical reality. For many claimants, the psychiatric condition is the physical condition — expressed through a different system, scored on different descriptors, but fundamentally inseparable from the underlying health problem.

Cutting support for one means cutting support for both.

What the Data Actually Shows

When ministers cite “spiralling mental health claims” as the driver of PIP costs, they’re conflating volume with expenditure. Yes, mental health claims have grown faster than other categories — monthly awards for mixed anxiety and depressive disorders rose from 2,200 in 2019 to 5,300 in 2023. But growth in claimant numbers doesn’t translate to proportional growth in spending when those claimants receive below-average awards.

The proposed reforms make this mismatch explicit. The “4-point rule” — requiring claimants to score at least 4 points on a single descriptor — would disproportionately affect physical conditions, not mental health. The DWP’s own impact assessment confirms:

“People with physical conditions such as back pain or arthritis are most likely to be affected by the changes, while people with learning disabilities, autistic spectrum disorders and attention deficit hyperactivity disorder are least likely to be affected.”

The government justifies reforms by pointing to mental health growth, then designs reforms that mostly affect musculoskeletal claimants. Either the diagnosis is wrong, or the treatment doesn’t match it.

Strip away the rhetoric, and the picture is clear: mental health drives volume but not per-capita cost. The assessment system systematically disadvantages psychiatric claimants while the single-condition classification obscures how physical and mental health problems actually interconnect. The data gaps aren’t accidental — they make cost-based arguments harder to scrutinise.

What Would Good Data Look Like?

If policymakers genuinely wanted to understand PIP costs and target reforms effectively, they’d need data that the DWP currently doesn’t publish:

• Expenditure by condition category, not just claimant counts

• Award level distributions by condition (% at each rate combination)

• Comorbidity data — all recorded conditions, not just the primary one

• Points breakdowns by activity and condition, showing where different conditions actually score

• Longitudinal tracking of how conditions develop over time within the same claimant

• Links to NHS data showing healthcare utilisation and clinical diagnoses

Some of this data exists — the DWP-NHS data linkage studies cited in this article prove it’s possible — but it’s not routinely published. That’s a policy choice, and it has consequences. When the public can’t see where money goes, politicians can claim it goes wherever is most politically convenient.

Methodology

This analysis reconstructs expenditure patterns from: DWP Stat-Xplore claimant counts (April 2025); average weekly award data from the SLaM-DWP data linkage studies; award-level distributions from DWP statistical releases; total expenditure figures from OBR fiscal forecasts; and academic literature on assessment outcomes (Pybus et al. 2019, Stevelink et al. 2024).

The estimates are indicative rather than precise — a reasonable reconstruction, not a definitive accounting. The primary condition limitation is significant: recording only one condition per claimant obscures comorbidity entirely, hiding how conditions interact and where costs actually concentrate.

Data sources: DWP Stat-Xplore; PIP Statistics to April 2025; OBR Economic and Fiscal Outlook; Pybus et al. (2019) ‘Discrediting experiences’, BJPsych Open; Stevelink et al. (2024) ‘Personal independence payments among people who access mental health services’, BJPsych Open; House of Commons Library Research Briefing CBP-10296.


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