Journal article
Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)-rationale and design for an international collaborative study.
- Abstract:
-
Background
Expand abstract
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 predict and monitor recruitment of patients into RCTs. Our specific objectives are the following: (1) to establish a large sample of RCTs (target n = 300) with individual patient recruitment data from a...
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Swiss National Science Foundation
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Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- Trials Journal website
- Volume:
- 21
- Issue:
- 1
- Article number:
- 731
- Publication date:
- 2020-08-21
- Acceptance date:
- 2020-08-09
- DOI:
- EISSN:
-
1745-6215
- Pmid:
-
32825846
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1127912
- Local pid:
- pubs:1127912
- Deposit date:
- 2020-09-07
Terms of use
- Copyright holder:
- Kasenda et al.
- Copyright date:
- 2020
- Rights statement:
- ©2020 The Author(s).
- Notes:
- Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Licence:
- CC Attribution (CC BY)
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