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Tracy L. Webb

Colorado State University
Country flagUnited States

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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

UNITED STATES
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Elizabeth Esdaile

University of California, Davis

UNITED STATES
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Colleen Duncan

Colorado State University

UNITED STATES
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Marius Mather

University of Sydney

AUSTRALIA
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Melissa Haendel

Director of Precision Health & Translational Informatics

University of North Carolina at Chapel Hill

UNITED STATES
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Christopher Mungall

Senior Computational Scientist

Lawrence Berkeley National Laboratory

UNITED STATES
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Halie Rando

Assistant Professor

Smith College

UNITED STATES
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Kathleen Mullen

University of North Carolina at Chapel Hill

UNITED STATES
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Kelly E. Hall

Colorado State University

UNITED STATES
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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

UNITED STATES
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