Lloyd Zhao1, Sandra S Stinnett2, S Grace Prakalapakorn3. 1. School of Medicine, Duke University, Durham, NC. 2. Department of Ophthalmology, Duke University, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC. 3. Department of Ophthalmology, Duke University, Durham, NC; Department of Pediatrics, Duke University, Durham, NC. Electronic address: grace.prakalapakorn@duke.edu.
Abstract
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: ClinicalTrials.gov: NCT03212222.
RCT Entities:
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: ClinicalTrials.gov: NCT03212222.
Authors: Xiaoke Li; Jing Zhong; Yiyao Wang; Hantao Zhang; Jinrong Li; Kunyang Li; Li Gu; Min Zheng; Jin Yuan; Hang Fan; Dongyan Deng; Yao Wang; Jianying Zhou Journal: Ann Transl Med Date: 2021-01
Authors: Van C Willis; Kelly Jean Thomas Craig; Yalda Jabbarpour; Elisabeth L Scheufele; Yull E Arriaga; Monica Ajinkya; Kyu B Rhee; Andrew Bazemore Journal: JMIR Med Inform Date: 2022-01-21