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Term of the Day

Natural history study

A natural history study is a preplanned observational study intended to track the course of a disease over time, identifying demographic, genetic, environmental and other variables that correlate with its development and outcomes in the absence of intervention, or under standard of care. Designs may be retrospective (chart review of existing records) or prospective (longitudinal follow-up of a cohort or registry).

Natural history data is particularly important in rare and paediatric diseases, where randomised placebo-controlled trials may be infeasible or unethical. The FDA (guidance on rare disease natural history studies, 2019) and the EMA accept well-designed natural history studies to define endpoints and biomarkers, identify patient subgroups, estimate sample sizes and, in some cases, serve as external or historical control arms for single-arm trials supporting orphan products.

Because they are non-interventional, natural history studies fall outside the CTR and are governed by national law (for example France's MR-003 or MR-004 reference methodologies) and by the GDPR. They typically involve secondary use of medical records, long-term follow-up, genetic data and small populations in which anonymisation is rarely achievable, so pseudonymisation, a DPIA and a robust research legal basis under Art. 9(2)(j) are essential. Registries maintained by patient organisations or academic consortia raise additional questions of joint controllership and data access governance.

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Accuracy

Accuracy is the data protection principle in Art. 5(1)(d) GDPR: personal data must be accurate and, where necessary, kept up to date, and every reasonable step must be taken to erase or rectify inaccurate data without delay, having regard to the purposes of the processing.

The principle is closely linked to the right of rectification (Art. 16 GDPR), which allows data subjects to have inaccurate data corrected. In clinical research, accuracy overlaps with the ALCOA+ data integrity expectations (attributable, legible, contemporaneous, original, accurate, complete, consistent, enduring, available) applied by EMA and FDA inspectors, and with source data verification during monitoring.

Accuracy does not mean that every historical record must be rewritten. A trial database must reflect what was observed at the time; corrections are made through documented audit trails, not by overwriting. Health records, adverse event reports and outcome data are all areas where inaccurate data can cause harm to patients as well as regulatory exposure, which is why accuracy is treated as a patient-safety issue and not only a compliance one.