Visual Acuity Assessment and Vision Screening Using a Novel Smartphone Application.

Journal Article (Journal Article)

OBJECTIVES: To evaluate a smartphone-based application's (Peek Acuity) ability to assess visual acuity and screen for ocular conditions in children, we compared visual acuity assessment between Peek Acuity and the pediatric ophthalmology examination and evaluated Peek Acuity's ability to identify children with referable ocular conditions. STUDY DESIGN: We prospectively recruited 111 children age 3-17 years, presenting to a pediatric ophthalmology clinic, who could follow instructions. Monocular visual acuity assessments by Peek Acuity and standard clinical methods were performed in randomized order. We compared visual acuity assessments between methods using intraclass correlation coefficient (ICC) and evaluated Peek Acuity's ability to identify children with referable ocular conditions. RESULTS: ICC comparing visual acuity assessed between methods was 0.88 (95% CI 0.83-0.92) for first and 0.85 (95% CI 0.78-0.89) for second eyes examined. ICC among 3 to 5-year-olds (preschool-age children) was 0.88 (95% CI 0.77-0.94) for first and 0.45 (95% CI 0.13-0.68) for second eyes examined. Peek Acuity had a sensitivity of 83%-86% for decreased vision and 69%-83% for referable ocular disease. Sensitivity was highest among 3 to 5-year-olds with decreased vision, 93%-100%. CONCLUSIONS: Overall, Peek Acuity visual acuity assessment correlated well with visual acuity assessed by standard clinical methods, though preschool-age children appeared more susceptible to examination fatigue. Peek Acuity performed adequately as a screening tool and had the greatest sensitivity among those with decreased vision and preschool-age children. TRIAL REGISTRATION: NCT03212222.

Full Text

Duke Authors

Cited Authors

  • Zhao, L; Stinnett, SS; Prakalapakorn, SG

Published Date

  • October 2019

Published In

Volume / Issue

  • 213 /

Start / End Page

  • 203 - 210.e1

PubMed ID

  • 31326117

Electronic International Standard Serial Number (EISSN)

  • 1097-6833

Digital Object Identifier (DOI)

  • 10.1016/j.jpeds.2019.06.021


  • eng

Conference Location

  • United States