Purpose: To validate the clinical utility of Vision.app in measuring best corrected visual acuity (BCVA) in a pediatric cohort. 
Methods: OD/OS BCVA of pediatric patients was obtained by a) Landolt ring (VAApp) and b) Snellen chart (VAClinic). VAApp was measured by the phone application, Vision.app, from smartphones which used a 4-force choice procedure with a dark blue Landolt C optotype on a black background displayed at 100cm. VAClinic was the smallest line where optotypes were correctly identified with patient sitting 20 ft from an illuminated screen. The two methods were compared using Pearson correlation coefficient and Cronbach α. Vision.app sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated to detect significant VA changes (≥0.3) logMAR from in-clinic baseline. A Bland-Altman plot was constructed to visualize the difference between the two methods. 
Results: A total of 49 participants completed the study with data on 98 eyes collected. Mean (SD) age of 10.22 ± 3.28 years with a 26:23 male:female ratio. Mean VA difference was -0.14 (95% CI, -0.193 to -0.087) logMAR or <1 line of difference with upper and lower limits of 0.23 and -0.51 logMAR. The Pearson correlation coefficient was 0.54 [p < 0.001, (95% CI: 0.38, 0.66)]and Cronbach α is 0.68 [p < 0.001, (95% CI: 0.52, 0.78)]. Vision.app had an 80% sensitivity, 73.5% specificity, 35.3% PPV, 95.3% NPV. 
Conclusion: In our study, Vision.app is a valid method of measuring visual acuity in children.

Smartphone app visual acuity screening in a pediatric population

Medical Education Innovation | Ophthalmology

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Smartphone app visual acuity screening in a pediatric population

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