Gary Zammit, PhD, highlights a critical challenge in clinical research: despite the field’s precision, medication adherence remains difficult to measure accurately. Traditional methods—such as self-reports and pill counts—often indicate high adherence, yet objective measures like blood or urine drug levels reveal significant discrepancies. This disconnect underscores widespread nonadherence, which can compromise data integrity, distort efficacy and safety outcomes, and pose risks to patients. Rather than placing blame on participants, the focus shifts to acknowledging human limitations and advancing innovative solutions to improve adherence monitoring.

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