Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)—rationale and design for an international collaborative study

Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)—rationale and design for an international collaborative study

Abstract Background Poor recruitment of patients is the predominant reason for early termination of randomized clinical trials (RCTs). Systematic empirical investigations and validation studies of existing recruitment models, however, are lacking. We aim to provide evidence-based guidance on how to...

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Bibliographic Details
Main Authors: Benjamin Kasenda, Junhao Liu, Yu Jiang, Byron Gajewski, Cen Wu, Erik von Elm, Stefan Schandelmaier, Giusi Moffa, Sven Trelle, Andreas Michael Schmitt, Amanda K. Herbrand, Viktoria Gloy, Benjamin Speich, Sally Hopewell, Lars G. Hemkens, Constantin Sluka, Kris McGill, Maureen Meade, Deborah Cook, Francois Lamontagne, Jean-Marc Tréluyer, Anna-Bettina Haidich, John P. A. Ioannidis, Shaun Treweek, Matthias Briel
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Trials
Subjects:
Recruitment
Accrual
Prediction
Randomized clinical trials
Online Access:http://link.springer.com/article/10.1186/s13063-020-04666-8

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http://link.springer.com/article/10.1186/s13063-020-04666-8

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