Teresa O'Leary1,2, June Weiss1,2, Benjamin Toll3, Cynthia Brandt1,2,4, Steven L Bernstein1,2,5. 1. Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut. 2. Yale Center for Implementation Science, Yale School of Medicine, New Haven, Connecticut. 3. Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina. 4. Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut. 5. Yale Comprehensive Cancer Center, Yale School of Medicine, New Haven, Connecticut.
Abstract
BACKGROUND: Investigators conducting prospective clinical trials must report patient flow using the Consolidated Standards of Reporting Trials (CONSORT) statement. Depending on how data are collected, this can be a laborious, time-intensive process. However, because many trials enter data electronically, CONSORT diagrams may be generated in an automated fashion. OBJECTIVE: Our objective was to use an off-the-shelf software to develop a technique to generate CONSORT diagrams automatically. METHODS: During a recent trial, data were entered into FileMaker Pro, a commercially available software, at enrollment and three waves of follow-up. Patient-level data were coded to automatically generate CONSORT diagrams for use by the study team. RESULTS: From August 2012 to July 2014, 1,044 participants were enrolled. CONSORT diagrams were generated weekly for study team meetings to track follow-ups at 1, 6, and 12 months, for 960 (92%), 921 (90%), and 871 (88%) participants who were contacted or deceased, respectively. Reasons for loss to follow-up were captured at each follow-up. CONCLUSION: CONSORT diagrams can be generated using a standard software for any trial and can facilitate data collection, project management, and reporting. Georg Thieme Verlag KG Stuttgart · New York.
BACKGROUND: Investigators conducting prospective clinical trials must report patient flow using the Consolidated Standards of Reporting Trials (CONSORT) statement. Depending on how data are collected, this can be a laborious, time-intensive process. However, because many trials enter data electronically, CONSORT diagrams may be generated in an automated fashion. OBJECTIVE: Our objective was to use an off-the-shelf software to develop a technique to generate CONSORT diagrams automatically. METHODS: During a recent trial, data were entered into FileMaker Pro, a commercially available software, at enrollment and three waves of follow-up. Patient-level data were coded to automatically generate CONSORT diagrams for use by the study team. RESULTS: From August 2012 to July 2014, 1,044 participants were enrolled. CONSORT diagrams were generated weekly for study team meetings to track follow-ups at 1, 6, and 12 months, for 960 (92%), 921 (90%), and 871 (88%) participants who were contacted or deceased, respectively. Reasons for loss to follow-up were captured at each follow-up. CONCLUSION: CONSORT diagrams can be generated using a standard software for any trial and can facilitate data collection, project management, and reporting. Georg Thieme Verlag KG Stuttgart · New York.
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