Quality Control Measures over 30 Years in a Multicenter Clinical Study: Results from the Diabetes Control and Complications Trial / Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study

Implementation of multicenter and/or longitudinal studies requires an effective quality assurance program to identify trends, data inconsistencies and process variability of results over time. The Diabetes Control and Complications Trial (DCCT) and the follow-up Epidemiology of Diabetes Intervention...

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Published in:PloS one Vol. 10; no. 11; p. e0141286
Main Authors: Lorenzi, Gayle M, Braffett, Barbara H, Arends, Valerie L, Danis, Ronald P, Diminick, Lisa, Klumpp, Kandace A, Morrison, Anthony D, Soliman, Elsayed Z, Steffes, Michael W, Cleary, Patricia A
Format: Journal Article
Language:English
Published: United States Public Library of Science 03-11-2015
Public Library of Science (PLoS)
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Summary:Implementation of multicenter and/or longitudinal studies requires an effective quality assurance program to identify trends, data inconsistencies and process variability of results over time. The Diabetes Control and Complications Trial (DCCT) and the follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) study represent over 30 years of data collection among a cohort of participants across 27 clinical centers. The quality assurance plan is overseen by the Data Coordinating Center and is implemented across the clinical centers and central reading units. Each central unit incorporates specific DCCT/EDIC quality monitoring activities into their routine quality assurance plan. The results are reviewed by a data quality assurance committee whose function is to identify variances in quality that may impact study results from the central units as well as within and across clinical centers, and to recommend implementation of corrective procedures when necessary. Over the 30-year period, changes to the methods, equipment, or clinical procedures have been required to keep procedures current and ensure continued collection of scientifically valid and clinically relevant results. Pilot testing to compare historic processes with contemporary alternatives is performed and comparability is validated prior to incorporation of new procedures into the study. Details of the quality assurance plan across and within the clinical and central reading units are described, and quality outcomes for core measures analyzed by the central reading units (e.g. biochemical samples, fundus photographs, ECGs) are presented.
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Competing Interests: The authors have the following interests: Industry contributors have had no role in the DCCT/EDIC study but have provided free or discounted supplies or equipment to support participants’ adherence to the study: Abbott Diabetes Care (Alameda, California), Animas (Westchester, Pennsylvania), Bayer Diabetes Care (North America Headquarters, Tarrytown, New York), Becton Dickinson (Franklin Lakes, New Jersey), Eli Lilly (Indianapolis, Indiana), Extend Nutrition (St. Louis, Missouri), Insulet Corporation (Bedford, Massachusetts), Lifescan (Milpitas, California), Medtronic Diabetes (Minneapolis, Minnesota), Nipro Home Diagnostics (Ft. Lauderdale, Florida), Nova Diabetes Care (Billerica, Massachusetts), Omron (Shelton, Connecticut), Perrigo Diabetes Care (Allegan, Michigan), Roche Diabetes Care (Indianapolis, Indiana), and Sanofi-Aventis (Bridgewater, New Jersey). There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.
These authors also contributed equally to this work.
Membership of the DCCT/EDIC Research Group is listed in the Acknowledgments.
Conceived and designed the experiments: GML BHB VLA RPD EZS MWS PAC. Performed the experiments: VLA RPD EZS MWS. Analyzed the data: GML BHB LD KAK PAC. Wrote the paper: GML BHB VLA RPD LD KAK ADM EZS MWS PAC.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0141286