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Programming a LOGMAR calculator into a REDCap database | Eye – Nature.com

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Eye (2022)
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LOGMAR (logarithm of the minimum angle of resolution) is a common modality for reporting visual acuities academically [1]. However, Snellen charts are the predominant tool of visual acuity measurement clinically. Online calculators convert individual Snellen acuities to LOGMAR, but this is labour intensive and invites error from manual data transcription. Furthermore, these tools rarely allocate for missed or additional letters read, diminishing the precision of reported findings.
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Thanks goes to QEI CEO Professor Mark Radford for his ongoing guidance and support. Additionally, we thank James Cook University’s REDCap Administrator Dr Venkat Vangaveti for his timely support on this project.
College of Medicine and Dentistry, James Cook University, Douglas, QLD, Australia
James Coventon
Queensland Eye Institute, Brisbane, QLD, Australia
James Coventon & Abhishek Sharma
Department of Ophthalmology, Queensland Children’s Hospital, Brisbane, QLD, Australia
James Coventon, Jaclyn White & Shuan Dai
Cairns Base Hospital Surgical Department, Brisbane, QLD, Australia
James Coventon
Princess Alexandra Hospital, Brisbane, QLD, Australia
Lauren Gomes
Department of Ophthalmology, Royal Brisbane and Women’s Hospital, Brisbane, QLD, Australia
Abhishek Sharma
University of Queensland, Brisbane, QLD, Australia
Abhishek Sharma & Shuan Dai
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JC: Manuscript writing and editing. LG: Validation of algorithm through testing. JW: Manuscript writing and editing. AS: Algorithm and database design. SD: Algorithm and database design.
Correspondence to James Coventon.
The authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Coventon, J., Gomes, L., White, J. et al. Programming a LOGMAR calculator into a REDCap database. Eye (2022). https://doi.org/10.1038/s41433-022-02243-8
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DOI: https://doi.org/10.1038/s41433-022-02243-8
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Eye (Eye) ISSN 1476-5454 (online) ISSN 0950-222X (print)
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