Faculty Collaboration Database

An innovative visual acuity chart for urgent and primary care settings: validation of the Runge near vision card. Eye (Lond) 2019 Jul;33(7):1104-1110

Date

02/23/2019

Pubmed ID

30792525

Pubmed Central ID

PMC6707193

DOI

10.1038/s41433-019-0372-8

Scopus ID

2-s2.0-85068856000 (requires institutional sign-in at Scopus site)   9 Citations

Abstract

OBJECTIVE: We evaluated the Runge card, a near-vision eye chart designed for ease of use, by testing agreement in visual acuity results between it and the Early Treatment Diabetic Retinopathy Study (ETDRS) visual acuity chart. As a clinical reference point, we compared the Runge card and an electronic Snellen chart with respect to agreement with ETDRS results.

METHODS: Participants consisted of adult eye clinic patient volunteers who underwent a protocol refraction, followed by testing with a Runge card, ETDRS chart, and Snellen chart. Mean logMAR visual acuities were calculated for each method. Agreement levels among the tests were assessed for the group overall and for subjects with good (ETDRS logMAR < 0.6; better than 20/80 Snellen equivalent) and poor (logMAR ≥ 0.6) acuity.

RESULTS: One hundred and thirty-eight participants completed testing. The mean ( ± standard deviation) logMAR visual acuities (Snellen equivalent) with Runge, ETDRS, and Snellen, respectively, were 0.66 ± 0.50 (20/91, n = 138), 0.59 ± 0.51 (20/78, n = 138), and 0.67 ± 0.62 (20/94, n = 137). Runge testing agreed similarly with ETDRS and Snellen testing, with CCC 0.92 between Runge and ETDRS, and 0.87 between Runge and Snellen (p = 0.14). Runge agreed better with ETDRS than Snellen agreed with ETDRS in participants with poor acuity (CCC = 0.79 vs. 0.63, respectively, p = 0.001) but not in those with good acuity (CCC = 0.70 vs. 0.87, respectively, p = 0.005).

CONCLUSION: Visual acuity measurements with the Runge near card agreed with measurements from the ETDRS to approximately the same degree as did the Snellen chart, suggesting potential utility of the Runge near card, particularly given its user-friendly characteristics and ease of use.

Author List

Cooke MD, Winter PA, McKenney KC, Packard KL, Williams V, Dorsey EA, Szabo A, Visotcky A, Warren CC, Wirostko WJ, Weinberg DV, Kim JE, Han DP

Authors

Aniko Szabo PhD Professor in the Data Science Institute department at Medical College of Wisconsin
Alexis M. Visotcky Biostatistician III in the Data Science Institute department at Medical College of Wisconsin
William Wirostko MD Professor in the Ophthalmology and Visual Sciences department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Aged
Aged, 80 and over
Algorithms
Ambulatory Care
Diabetic Retinopathy
Equipment Design
Female
Humans
Male
Middle Aged
Primary Health Care
Prospective Studies
Reproducibility of Results
Vision Tests
Visual Acuity