0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIn this report we present the Consolidated Standards of Reporting Trials (CONSORT) extension for the cluster randomised crossover (CRXO) trial. A CRXO trial involves randomisation of groups of individuals (‘clusters’) to different sequences of treatments over time. The design has gained popularity in settings where cluster randomisation is required as it can largely overcome the loss in power due to clustering in parallel cluster trials. However, the design has many methodological complexities, requiring tailored reporting guidance. The guideline was developed using a survey and in-person consensus meeting, informed by a systematic review examining the quality of reporting in CRXO trials and relevant CONSORT statements for individual, crossover, cluster and stepped-wedge designs. We provide recommended reporting items, along with explanations and examples.
Joanne E. McKenzie, Monica Taljaard, Karla Hemming, Sarah Arnup, Bruno Giraudeau, Sandra Eldridge, Richard Hooper, Brennan C Kahan, Tianjing Li, David Moher, Elizabeth L. Turner, Jeremy Grimshaw, Andrew Forbes (2024). Reporting of cluster randomised crossover trials 2023: extension of the CONSORT 2010 statement with explanation and elaboration. , DOI: https://doi.org/10.31222/osf.io/psemy.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2024
Authors
13
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.31222/osf.io/psemy
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access