Managing work flow in high enrolling trials: The development and implementation of a sampling strategy in the PREPARE trial

dc.contributor.authorPogorzelski, David
dc.contributor.authorNguyen, Uyen
dc.contributor.authorMcKay, Paula
dc.contributor.authorThabane, Lehana
dc.contributor.authorCamara, Megan
dc.contributor.authorRamsey, Lolita
dc.contributor.authorSeymour, Rachel
dc.contributor.authorGoodman, J. Brett
dc.contributor.authorMcGee, Sheketha
dc.contributor.authorFraifogl, Joanne
dc.contributor.authorHudgins, Andrea
dc.contributor.authorTanner, Stephanie L.
dc.contributor.authorBhandari, Mohit
dc.contributor.authorSlobogean, Gerard P.
dc.contributor.authorSprague, Sheila
dc.contributor.departmentOrthopaedic Surgery, School of Medicine
dc.date.accessioned2024-08-12T11:46:40Z
dc.date.available2024-08-12T11:46:40Z
dc.date.issued2021-01-23
dc.description.abstractIntroduction: Pragmatic trials in comparative effectiveness research assess the effects of different treatment, therapeutic, or healthcare options in clinical practice. They are characterized by broad eligibility criteria and large sample sizes, which can lead to an unmanageable number of participants, increasing the risk of bias and affecting the integrity of the trial. We describe the development of a sampling strategy tool and its use in the PREPARE trial to circumvent the challenge of unmanageable work flow. Methods: Given the broad eligibility criteria and high fracture volume at participating clinical sites in the PREPARE trial, a pragmatic sampling strategy was needed. Using data from PREPARE, descriptive statistics were used to describe the use of the sampling strategy across clinical sites. A Chi-square test was performed to explore whether use of the sampling strategy was associated with a reduction in the number of missed eligible patients. Results: 7 of 20 clinical sites (35%) elected to adopt a sampling strategy. There were 1539 patients excluded due to the use of the sampling strategy, which represents 30% of all excluded patients and 20% of all patients screened for participation. Use of the sampling strategy was associated with lower odds of missed eligible patients (297/4545 (6.5%) versus 341/3200 (10.7%) p < 0.001). Conclusions: Implementing a sampling strategy in the PREPARE trial has helped to limit the number of missed eligible patients. This sampling strategy represents a simple, easy to use tool for managing work flow at clinical sites and maintaining the integrity of a large trial.
dc.eprint.versionFinal published version
dc.identifier.citationPogorzelski D, Nguyen U, McKay P, et al. Managing work flow in high enrolling trials: The development and implementation of a sampling strategy in the PREPARE trial. Contemp Clin Trials Commun. 2021;21:100730. Published 2021 Jan 23. doi:10.1016/j.conctc.2021.100730
dc.identifier.urihttps://hdl.handle.net/1805/42727
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.conctc.2021.100730
dc.relation.journalContemporary Clinical Trials Communications
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourcePMC
dc.subjectSampling
dc.subjectPragmatic
dc.subjectCluster crossover
dc.subjectSampling framework
dc.subjectSampling strategy
dc.subjectWork flow
dc.titleManaging work flow in high enrolling trials: The development and implementation of a sampling strategy in the PREPARE trial
dc.typeArticle
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