The importance of methods for site performance evaluation in REPRIEVE, a longitudinal, global, multicenter trial
- PMID: 36462699
- PMCID: PMC9891172
- DOI: 10.1016/j.cct.2022.107035
The importance of methods for site performance evaluation in REPRIEVE, a longitudinal, global, multicenter trial
Abstract
Background: REPRIEVE, the Randomized Trial to Prevent Vascular Events in HIV, is a multicenter, primary prevention trial evaluating whether a statin can prevent major cardiovascular events in people with HIV. REPRIEVE is conducted at >100 clinical research sites (CRSs) globally. Detailed, comprehensive, and novel methods for evaluating and communicating CRS performance are required to ensure trial integrity and data quality. In this analysis we describe a comprehensive multidimensional methodology for evaluating CRS performance.
Methods: The REPRIEVE Data Coordinating and Clinical Coordinating Centers developed a robust system for evaluation of and communication with CRSs, designed to identify potential issues and obstacles to performance, provide real-time technical support, and make recommendations for process improvements to facilitate efficient trial execution. We describe these systems and evaluate their impact on participant retention, data management, and specimen management from 2019 to 2022, corresponding to the period from end of recruitment to present. This evaluation was based on pre-defined metrics, regular reviews, and bidirectional communication.
Results: Participant retention, data management, and specimen management all remained steady over the three-year period, although metrics varied by country of enrollment. Targeted messaging relating to certain performance metrics was effective.
Conclusion: Site performance is vital to ensure trial integrity and achievement of key trial goals. This analysis demonstrates that utilization of a comprehensive approach allows for a thorough evaluation of CRS performance, facilitates data and specimen management, and enhances participant retention. Our approach may serve as a guidepost for maximizing future large-scale clinical trials' operational success and scientific rigor.
Clinicaltrials: gov Identifier: NCT02344290.
Keywords: Clinical trial management; Data management; Participant retention; Site performance.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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