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Updated: Feb 5, 2026

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The Life Cycle and Management of Protocol Deviations.

Munish Mehra1, Katharina Kurpanek2, Maryrose Petrizzo3

  • 11 Quantum BioPharma, North Potomac, MD, USA.

Therapeutic Innovation & Regulatory Science
|September 20, 2018
PubMed
Summary

Clinical trial protocol deviations can impact subject safety and data integrity. This paper defines protocol deviations and recommends best practices for managing them throughout their lifecycle to minimize risks.

Keywords:
corrective actioncorrective action preventive actiondeparturedeviationfraudgood clinical practicenoncompliancepreventive actionprofessional misconductprotocol deviationsprotocol violationsserious breachvarianceviolationwaiver

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Area of Science:

  • Clinical Research
  • Regulatory Science
  • Data Integrity

Background:

  • Clinical trials are complex, requiring adherence to protocols, standard operating procedures, and guidelines.
  • Deviations from clinical trial protocols can compromise subject safety, introduce bias, and lead to data rejection.
  • Protocol deviations are common despite preventive measures.

Purpose of the Study:

  • To propose a common definition for clinical trial protocol deviations.
  • To recommend best practices for the detection, classification, and management of protocol deviations.
  • To reduce the impact of protocol deviations on subject safety and data integrity.

Main Methods:

  • The paper draws information from global industry experts in Good Clinical Practice and Quality Assurance.
  • It incorporates findings from an industry-wide survey.
  • Discussions from various industry meetings were also included.

Main Results:

  • A common definition of protocol deviations is proposed.
  • Best practices for the lifecycle management of protocol deviations are recommended.
  • Strategies aim to mitigate risks to subject safety and data integrity.

Conclusions:

  • Standardizing the definition and management of protocol deviations is crucial for clinical trial quality.
  • Implementing recommended best practices can enhance subject protection and ensure reliable trial outcomes.
  • Proactive management of deviations is essential for maintaining data integrity and regulatory compliance.