- Abstract:
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Background Randomized controlled trials (RCTs) are often complex and expensive to perform. Less than one third achieve planned recruitment targets, follow-up can be labor-intensive, and many have limited real-world generalizability. Designs for RCTs conducted using cohorts and routinely collected health data, including registries, electronic health records, and administrative databases, have been proposed to address these challenges and are being rapidly adopted. These design... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's Version
- Files:
-
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(pdf, 881.3KB)
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- Publisher copy:
- 10.1186/s41073-018-0053-3
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- Publisher:
- BMC Publisher's website
- Journal:
- Research Integrity and Peer Review Journal website
- Volume:
- 9
- Issue:
- 3
- Publication date:
- 2018-10-29
- Acceptance date:
- 2018-09-21
- DOI:
- EISSN:
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2058-8615
- Pubs id:
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pubs:925479
- URN:
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uri:3487df25-8962-480b-b29f-0efcab3ea85f
- UUID:
-
uuid:3487df25-8962-480b-b29f-0efcab3ea85f
- Local pid:
- pubs:925479
- Copyright holder:
- Kwakkenbos et al.
- Copyright date:
- 2018
- Notes:
- © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
Journal article
Protocol for the development of a CONSORT extension for RCTs using cohorts and routinely collected health data
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