The importance of methods for site performance evaluation in REPRIEVE, a longitudinal, global, multicenter trial

Evelynne S Fulda1, Carl J Fichtenbaum2, Emma M Kileel1

  • 1Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Insights

A comprehensive approach to evaluating clinical research site performance in the REPRIEVE HIV trial ensured steady participant retention and data quality. This methodology enhances operational success for large-scale clinical trials.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Clinical Trial Management

Background:

  • The Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) is a global multicenter trial assessing statin efficacy for cardiovascular event prevention in people with HIV.
  • Ensuring trial integrity and data quality necessitates novel methods for evaluating clinical research site (CRS) performance.

Purpose of the Study:

  • To describe and evaluate a comprehensive, multidimensional methodology for assessing CRS performance within the REPRIEVE trial.
  • To assess the impact of this methodology on participant retention, data management, and specimen management.

Main Methods:

  • A robust system for CRS evaluation and communication was developed by the REPRIEVE Data and Clinical Coordinating Centers.
  • The system focused on identifying performance issues, providing real-time support, and recommending process improvements.
  • Evaluation metrics included participant retention, data, and specimen management from 2019 to 2022, based on pre-defined metrics, regular reviews, and bidirectional communication.

Main Results:

  • Participant retention, data management, and specimen management metrics remained stable throughout the three-year evaluation period.
  • Performance metrics showed variations by country of enrollment.
  • Targeted communication strategies effectively improved specific performance metrics.

Conclusions:

  • A comprehensive approach to evaluating CRS performance is vital for maintaining trial integrity and achieving key trial objectives.
  • This methodology effectively supports data and specimen management while enhancing participant retention.
  • The demonstrated approach can serve as a model for optimizing the operational success and scientific rigor of future large-scale clinical trials.
Abstract

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