Cluster identification, selection, and description in cluster randomized crossover trials: the PREP-IT trials
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Author
Sprague, SheilaScott, Taryn
Dodds, Shannon
Pogorzelski, David
McKay, Paula
Harris, Anthony D.
Wood, Amber
Thabane, Lehana
Bhandari, Mohit
Mehta, Samir
Gaski, Greg
Boulton, Christina
Marcano-Fernandez, Francesc
Guerra-Farfan, Ernesto
Hebden, Joan
O'Hara, Lyndsay M.
Slobogean, Gerard P.
Affiliation
Univ ArizonaIssue Date
2020-08Keywords
ClusterRandomized crossover
Pragmatic
Cluster characteristics
Orthopedic
Surgical site infection
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Sprague, S., Scott, T., Dodds, S. et al. Cluster identification, selection, and description in cluster randomized crossover trials: the PREP-IT trials. Trials 21, 712 (2020). https://doi.org/10.1186/s13063-020-04611-9Journal
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© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License. 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.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
BackgroundIn cluster randomized crossover (CRXO) trials, groups of participants (i.e., clusters) are randomly allocated to receive a sequence of interventions over time (i.e., cluster periods). CRXO trials are becoming more comment when they are feasible, as they require fewer clusters than parallel group cluster randomized trials. However, CRXO trials have not been frequently used in orthopedic fracture trials and represent a novel methodological application within the field. To disseminate the early knowledge gained from our experience initiating two cluster randomized crossover trials, we describe our process for the identification and selection of the orthopedic practices (i.e., clusters) participating in the PREP-IT program and present data to describe their key characteristics.MethodsThe PREP-IT program comprises two ongoing pragmatic cluster randomized crossover trials (Aqueous-PREP and PREPARE) which compare the effect of iodophor versus chlorhexidine solutions on surgical site infection and unplanned fracture-related reoperations in patients undergoing operative fracture management. We describe the process we used to identify and select orthopedic practices (clusters) for the PREP-IT trials, along with their characteristics.ResultsWe identified 58 potential orthopedic practices for inclusion in the PREP-IT trials. After screening each practice for eligibility, we selected 30 practices for participation and randomized each to a sequence of interventions (15 for Aqueous-PREP and 20 for PREPARE). The majority of orthopedic practices included in the Aqueous-PREP and PREPARE trials were situated in level I trauma centers (100% and 87%, respectively). Orthopedic practices in the Aqueous-PREP trial operatively treated a median of 149 open fracture patients per year, included a median of 11 orthopedic surgeons, and had access to a median of 5 infection preventionists. Orthopedic practices in the PREPARE trial treated a median of 142 open fracture and 1090 closed fracture patients per year, included a median of 7.5 orthopedic surgeons, and had access to a median of 6 infection preventionists.ConclusionsThe PREP-IT trials provide an example of how to follow the reporting standards for cluster randomized crossover trials by providing a clear definition of the cluster unit, a thorough description of the cluster identification and selection process, and sufficient description of key cluster characteristics.Trial registrationBoth trials are registered at ClinicalTrials.gov (A-PREP: NCT03385304 December 28, 2017, and PREPARE: NCT03523962 May 14, 2018).Note
Open access journalISSN
1745-6215EISSN
1745-6215PubMed ID
32787892Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1186/s13063-020-04611-9
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Except where otherwise noted, this item's license is described as © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License. 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.
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