Is your vision blurry? A systematic review of home-based visual acuity for telemedicine.

Autor: Samanta, Anindya, Mauntana, Shielah, Barsi, Zahra, Yarlagadda, Bina, Nelson, Patricia C
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Zdroj: Journal of Telemedicine & Telecare; Feb2023, Vol. 29 Issue 2, p81-90, 10p
Abstrakt: Introduction: Visual acuity (VA) testing is a vital screening tool for the assessment of ocular function. The coronavirus 2019 pandemic has caused an immediate need for synchronous telemedicine in all specialties, including ophthalmology. While a plethora of mobile VA applications exist, there is no consensus as to what technology can accurately and reproducibly measure a patient's vision at home. Methods: A systematic literature search was performed in April 2020 using PubMed, Embase and Medline, identifying English publications from 2010 to 2020 on remote VA tests: 4338 articles were identified and 14 were ultimately included in the review. Results: Of those 14, the highest quality studies, best reproducibility and correlation with in-clinic acuities measured were found using the Peek Acuity application. The studies included patients throughout the world aged 3–97, with and without correction, with known ocular pathology. The Peek Acuity studies measured distance vision on a Samsung Galaxy S3 with a mean difference of 0.055 Logarithm of the Minimum Angle of Resolution (LogMAR) for home testing compared with the Early Treatment Diabetic Retinopathy Study (ETDRS). Test–retest variability was ±0.029 LogMAR for 95% confidence interval limits. Discussion: There can be one or more lines of variability in vision testing in a clinical setting using reference standard ETDRS and clinical standard Snellen charts. Test–retest reliability is not perfect even on standard clinical charts (variation up to 0.48 LogMAR). Of the technologies reviewed, Peek Acuity home testing had the greatest correlation with ETDRS clinical vision and high test–retest reliability. Peek Acuity performed no worse than Snellen and ETDRS charts. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index