Literature DB >> 29438263

Validity and Acceptance of Color Vision Testing on Smartphones.

Omar K Ozgur1, Trisha S Emborgo, Mark B Vieyra, Rebecca F Huselid, Rudrani Banik.   

Abstract

BACKGROUND: Ishihara color plates (ICP) are the most commonly used color vision test (CVT) worldwide. With the advent of new technologies, attempts have been made to streamline the process of CVT. As hardware and software evolve, smartphone-based testing modalities may aid ophthalmologists in performing more efficient ophthalmic examinations. We assess the validity of smartphone color vision testing (CVT) by comparing results using the Eye Handbook (EHB) CVT application with standard Ishihara color plates (ICP).
METHODS: Prospective case-control study of subjects 18 years and older with visual acuity of 20/100 or better at 14 inches. The study group included patients with any ocular pathology. The color vision deficient (CVD) group was patients who failed more than 2 plates. The control group had no known ocular pathology. CVT was performed with both ICP and EHB under standardized background illuminance. Eleven plates were tested with each modality. Validity of EHB CVT and acceptance of EHB CVT were analyzed. Statistical analyses were performed using Bland-Altman plot with limits of agreement (LOA) at the 95th percentile of differences in score, independent samples t tests with 95% confidence interval (CI), and Pearson χ tests.
RESULTS: The Bland-Altman plot showed agreement between correct number of plates in EHB and ICP for the study subjects (bias, -0.25; LOA, -1.92 to 1.42). Agreement was also observed between the correct number of plates in EHB and ICP for the controls (bias, -0.01; LOA, -0.61 to 0.59) and CVD (bias, -0.50; LOA, -4.64 to 3.64) subjects. The sensitivity of EHB was 0.92 (95% CI 0.76-1.07) and the specificity of EHB was 1.00 (95% CI 1.00-1.00). Fifty-nine percent preferred EHB, 12% preferred ICP, and 29% had no preference.
CONCLUSIONS: In healthy controls and patients with ocular pathology, there was an agreement of CVT results comparing EHB with ICP. Overall, the majority preferred EHB to ICP. These findings demonstrate that further testing is required to understand and improve the validity of smartphone CVT in subjects with ocular pathology.

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Mesh:

Year:  2018        PMID: 29438263     DOI: 10.1097/WNO.0000000000000637

Source DB:  PubMed          Journal:  J Neuroophthalmol        ISSN: 1070-8022            Impact factor:   3.042


  7 in total

1.  Testing a Popular Smartphone Application for Colour Vision Assessment in Healthy Volunteer Subjects.

Authors:  Michael J Fliotsos; Jiawei Zhao; Tejus Pradeep; Mehrnaz Ighani; Allen O Eghrari
Journal:  Neuroophthalmology       Date:  2020-10-06

2.  COVID-19 in Ophthalmology. Current Disease Status and Challenges during Clinical Practice.

Authors:  Georgios Bontzos; Anastasia Gkiala; Christina Karakosta; Neofytos Maliotis; Efstathios T Detorakis
Journal:  Maedica (Bucur)       Date:  2021-12

3.  Comparison of a Smartphone Application with Ishihara Pseudoisochromatic Plate for Testing Colour Vision.

Authors:  Jiawei Zhao; Michael Joseph Fliotsos; Mehrnaz Ighani; Allen O Eghrari
Journal:  Neuroophthalmology       Date:  2018-11-19

4.  Trichromatic Enhanced Dynamic Color Screening on the PDI Check Nintendo 3DS Game.

Authors:  Andrew Arnold; Kyle Smith; Aaron Molina; Alex Damarjian; Tarah Desatoff; Robert Arnold
Journal:  Clin Optom (Auckl)       Date:  2021-05-11

5.  Patterns and Perceptions of Smartphone Use Among Academic Neurologists in the United States: Questionnaire Survey.

Authors:  William Zeiger; Scott DeBoer; John Probasco
Journal:  JMIR Mhealth Uhealth       Date:  2020-12-24       Impact factor: 4.773

6.  A Novel Smartphone-Based Color Test for Detection of Color Vision Defects in Age Related Macular Degeneration.

Authors:  Vassilios Karampatakis; Diamantis Almaliotis; Leonidas Karamitopoulos; George Kalliris; Stavroula Almpanidou
Journal:  J Ophthalmol       Date:  2022-03-31       Impact factor: 1.909

7.  Compared Near-Vision Testing With the Nintendo 3DS PDI Check Game on the Thai-Burma Border.

Authors:  Samuel J Martin; Kayla S Rowe; Nay Hser; Hser Eh Htoo; Ray Khin; Kyle A Smith; Robert W Arnold
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2019 Jul-Aug
  7 in total

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