Real-world application of a smartphone-based visual acuity test (WHOeyes) with automatic distance calibration

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ..

BACKGROUND: To develop and assess the usability of a smartphone-based visual acuity (VA) test with an automatic distance calibration (ADC) function, the iOS version of WHOeyes.

METHODS: The WHOeyes was an upgraded version with a distinct feature of ADC of an existing validated VA testing app called Vhome. Three groups of Chinese participants with different ages (≤20, 20-40, >40 years) were recruited for distance and near VA testing using both an Early Treatment Diabetic Retinopathy Study (ETDRS) chart and the WHOeyes. The ADC function would determine the testing distance. Infrared rangefinder was used to determine the testing distance for the ETDRS, and actual testing distance for the WHOeyes. A questionnaire-based interview was administered to assess the satisfaction.

RESULTS: The actual testing distance determined by the WHOeyes ADC showed an overall good agreement with the desired testing distance in all three age groups (p>0.50). Regarding the distance and near VA testing, the accuracy of WHOeyes was equivalent to ETDRS. The mean difference between the WHOeyes and ETDRS ranged from -0.084 to 0.012 logMAR, and the quadratic weighted kappa (QWK) values were >0.75 across all groups. The test-retest reliability of WHOeyes was high for both near and distance VA, with a mean difference ranging from -0.040 to 0.004 logMAR and QWK all >0.85. The questionnaire revealed an excellent user experience and acceptance of WHOeyes.

CONCLUSIONS: WHOeyes could provide accurate measurement of the testing distance as well as the distance and near VA when compared to the gold standard ETDRS chart.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

The British journal of ophthalmology - (2024) vom: 21. März

Sprache:

Englisch

Beteiligte Personen:

Wu, Yi [VerfasserIn]
Keel, Stuart [VerfasserIn]
Carneiro, Vera Lúcia Alves [VerfasserIn]
Zhang, Shiran [VerfasserIn]
Wang, Wei [VerfasserIn]
Liu, Chi [VerfasserIn]
Tang, Xuanzhang [VerfasserIn]
Han, Xiaotong [VerfasserIn]
He, Mingguang [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Low vision aid
Public health
Surveys and Questionnaires
Vision

Anmerkungen:

Date Revised 20.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1136/bjo-2023-324913

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370037456