Fraud is a health harm, not only a financial one. A study of 311 UK victims maps how unevenly it lands.

The question

Fraud is usually counted in money: amounts lost, sums reimbursed, the share of victims made whole. A study of 311 fraud victims in the United Kingdom asks a different question. What does being defrauded do to a person's health, and can that harm be measured in a way that respects how differently people experience it?

The paper, by Michael Skidmore, Felicity O'Connell, Ruth Halkon, Amy Meenaghan and Mark Button, appeared in the International Review of Victimology in February 2026. It is exploratory by design, and it is unusually candid about the difficulty of its own central measurement.

Why it matters

Fraud is now among the most common crimes in many countries, and it increasingly targets individuals directly. Yet health rarely enters the policy accounting. Support services, compensation rules and police prioritisation tend to be built around financial loss, which is easy to record, rather than around the harm a victim actually carries afterward, which is not. If the health impact of fraud is real but largely uncounted, then the systems meant to help victims may be calibrated to the wrong variable.

What the researchers did

The team surveyed 311 people in the UK who had been defrauded, and combined quantitative responses with qualitative accounts. They examined the health impact from three angles: the type, composition and intensity of the symptoms victims reported; how those symptoms spread into the rest of their lives; and whether victims felt able to cope with or recover from the experience.

Two features of the design matter for how much weight the findings can bear. The symptoms are self-reported rather than clinically diagnosed, and the sample is a group of victims who agreed to take part, not a representative cross-section of everyone who is defrauded. The authors treat the work as exploratory, and they are explicit that "impact" is genuinely hard to operationalise, because the same event registers very differently from one person to the next.

What they found

Most victims reported at least one health symptom, and the most common symptoms were emotional or psychological rather than physical. That much is a clear signal. For the typical victim in this sample, fraud left a mark on wellbeing, not only on a bank balance.

The more interesting finding is what an average would hide. The profile, intensity and wider-life impact of those symptoms were, in the authors' word, highly variable. Some victims described a brief episode that faded; a cohort reported symptoms that persisted over much longer periods. A significant minority said they had wanted support or treatment to deal with the health consequences, which implies that the help they wanted was not something they straightforwardly received.

This is a case where a single headline number would mislead. "Most victims report a symptom" is true and easy to quote, but the paper's own point is that the distribution behind that sentence is wide, and that the long-duration cohort and the unmet-support minority are where the practical stakes sit.

What the finding does not establish

Because this is a cross-sectional survey of self-selected victims, it describes an association between having been defrauded and reporting health symptoms. It does not prove that the fraud caused each symptom, and it does not track how symptoms change over time within the same person. Self-report captures how victims perceive and attribute their own health, which is the right measure for some questions and a limited one for others: it is not a clinical assessment. The sample is UK-based and drawn from people willing to discuss their experience, so the prevalence and severity seen here should not be read as national rates. And the authors' own caution about operationalising "impact" applies to their results as much as to anyone else's. The construct is slippery, and a different instrument would draw the line in a different place.

None of this makes the work weak. It makes it appropriately scoped. An exploratory study that names its limits is doing exactly what an early study of a neglected question should do.

The Bizarus reading

The useful contribution here is not a statistic. It is a reframing. Fraud is a health event for a substantial share of the people it touches, and the harm is distributed unevenly enough that any support system keyed to a single threshold will miss the people who need it most. A policy that helps "the average victim" is designed for a person who, on this evidence, may not exist in any stable form.

That connects to a habit worth keeping. A summary figure is a compression, and compression discards the variance. When the variance is the finding, as it is here, the honest move is to report the shape of the distribution and its tails, not just its middle. The long-duration cohort and the minority seeking unmet support are small groups by count and large ones by consequence.

What remains unanswered

The obvious next step is longitudinal: follow the same victims over time to see whether symptoms resolve, persist or worsen, and for whom. Beyond that sit the questions this study can only gesture at. Which victims are most at risk of lasting harm, and can they be identified early? Why did a group who wanted support not get it, and where did the system fail them? And how much of what is recorded as financial-crime harm is really health harm wearing a financial label, uncounted because no one is set up to record it?

Sources

• Skidmore, M., O'Connell, F., Halkon, R., Meenaghan, A., and Button, M. (2026). Exploratory research to examine the impact of fraud on victim health. International Review of Victimology, advance online publication, 13 February 2026. DOI: 10.1177/02697580261417364. Open access under CC BY.
• Journal quartile verified directly on SCImago: International Review of Victimology (SAGE Publications), SJR 2025 of 0.656, ranked Q1 in both Law and in Sociology and Political Science for 2025. SCImago record.