Development of a contact Lens risk survey.

Autor: Mitchell GL; Ohio State University, College of Optometry, Columbus, OH, United States. Electronic address: mitchell.247@osu.edu., Richdale K; University of Houston, College of Optometry, Houston, TX, United States., Lam D; Marshall B. Ketchum University, College of Optometry, Fullerton, CA, United States., Wagner H; Ohio State University, College of Optometry, Columbus, OH, United States., Kinoshita BT; Pacific University, College of Optometry, Forest Grove, OR, United States., Zimmerman AB; Ohio State University, College of Optometry, Columbus, OH, United States., Sorbara L; University of Waterloo, School of Optometry, Waterloo, ON, Canada., Rosner B; Harvard University, T. H Chan School of Public Health, Boston, MA, United States.
Jazyk: angličtina
Zdroj: Contact lens & anterior eye : the journal of the British Contact Lens Association [Cont Lens Anterior Eye] 2021 Oct; Vol. 44 (5), pp. 101383. Date of Electronic Publication: 2020 Dec 03.
DOI: 10.1016/j.clae.2020.11.003
Abstrakt: Purpose: To describe the development and report psychometric properties of the Contact Lens Risk Survey (CLRS) to identify patients at risk for soft contact lens-related complications.
Methods: Psychometric properties of the CLRS, a web-based survey with branching logic, were determined using data from 5 multi-site fieldings (n = 1059), including re-fielding to sub groups. Responses from participants with and without an active red eye were used to identify risk factors of a red eye event and calculate an overall risk score. A 6th fielding of the CLRS (n = 171) was used to assess discriminate validity.
Results: Participants needed 11-12 min to complete the survey with a negligible difference by age. Internal consistency was excellent (Cronbach's α ≥ 0.70) for 3 of the 5 constructs identified by factor analysis. Twelve of the 17 survey items exhibited excellent within-subject repeatability (Kappa ≥ 0.61). Between-subject agreement, assessed in 18-25 year olds, was high for the majority of items, suggesting good generalizability across different populations of SCL wearers. The ability of the model using individual items of the CLRS to discriminate Controls and participants with a red eye was good with an area under the curve of 0.779.
Conclusion: The CLRS tool is a repeatable and valid instrument to standardize documentation of demographic, behavior, and exposure factors which appear to drive the greatest risk of a contact lens related red eye event.
(Copyright © 2020 British Contact Lens Association. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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