What is quality by design?

• A. Proactive planning to prevent errors.
• B. Post-hoc data cleaning.
• C. Rely solely on external audits.
• D. Extensive data entry.

Answer: (A)

Quality by design means embedding quality into the study from the start by proactively planning and designing processes to prevent errors. It focuses on anticipating where things could go wrong, identifying what must be measured and controlled (critical data and processes), and building safeguards into the protocol, data capture, training, and systems. By defining quality targets and implementing real-time checks, validation, and standard operating procedures, the trial is designed to maintain data integrity and participant safety throughout, rather than trying to fix problems after they occur.

Post-hoc data cleaning is reactive and corrective after data are collected, which does not align with building quality in from the beginning. Relying solely on external audits reduces the chance to prevent issues and doesn’t ensure quality is designed into everyday processes. Extensive data entry can introduce more opportunities for error and doesn’t constitute proactively preventing issues—quality by design emphasizes prevention through built-in controls and design choices.