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Tracy L. Webb
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Articles (10)
Year:
2026
Year:
2026
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Background Owner comprehension is vital to recruitment and study success, but limited information exists regarding the readability of public‐facing veterinary clinical trial descriptions. Objectives The current study sought to evaluate the readability of public‐facing online veterinary clinical trial descriptions from academic institutions and private referral practices. Animals None. Methods This prospective study assessed readability in a convenience sample of veterinary clinical trial study descriptions using 3 common methods: the Flesch‐Kincaid Grade Level (F‐K), Flesch Reading Ease Score (FRES), and online Automatic Readability Checker (ARC). Results were compared across specialties and between academic and private institutions. Results Grade level and readability consensus scores (RCSs) were obtained for 61 online clinical trial descriptions at universities (n = 49) and private practices (n = 12). Average grade‐level RCS for study descriptions was 14.13 (range, 9‐21). Using Microsoft Word, the FRES score was higher in descriptions from universities compared to private practices ( P = .03), and F‐K scores were lower in university compared to private practice descriptions ( P = .03). FRES ( P = .07), F‐K ( P = .12), and readability consensus ( P = .17) scores obtained from ARC were not different between institution types. Forty‐eight studies (79%) had RCSs over 12, equivalent to reading material at college or graduate school levels. Conclusions and Clinical Importance Similar to other areas in veterinary communication, the evaluated veterinary clinical trial descriptions used for advertising and recruitment far exceeded the recommended 6th‐grade reading level for medical information. Readability assessments are straightforward to conduct, and ensuring health literacy should be a customary best practice in veterinary medicine and clinical research.
Year:
2023
Collaborators (10)
Sabrina Toro
Assistant Professor
University of North Carolina at Chapel Hill
Elizabeth Esdaile
University of California, Davis
Colleen Duncan
Colorado State University
Marius Mather
University of Sydney
Melissa Haendel
Director of Precision Health & Translational Informatics
University of North Carolina at Chapel Hill
Christopher Mungall
Senior Computational Scientist
Lawrence Berkeley National Laboratory
Halie Rando
Assistant Professor
Smith College
Kathleen Mullen
University of North Carolina at Chapel Hill
Kelly E. Hall
Colorado State University
Brittany Watson
Director of Shelter Medicine and Community Engagement and Co-head of Behavior, Welfare, and Human Animal Interaction Research Division
University of Pennsylvania School of Veterinary Medicine
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