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Visual Acuity Testing for Telehealth Using Mobile Applications.
Steren, Benjamin J; Young, Benjamin; Chow, Jessica.
  • Steren BJ; Department of Ophthalmology and Visual Sciences, Yale School of Medicine, New Haven, Connecticut.
  • Young B; Department of Ophthalmology and Visual Sciences, Yale School of Medicine, New Haven, Connecticut.
  • Chow J; Department of Ophthalmology and Visual Sciences, Yale School of Medicine, New Haven, Connecticut.
JAMA Ophthalmol ; 139(3): 344-347, 2021 03 01.
Article in English | MEDLINE | ID: covidwho-1030155
Semantic information from SemMedBD (by NLM)
1. Telemedicine USES Visual acuity testing
Subject
Telemedicine
Predicate
USES
Object
Visual acuity testing
2. Telemedicine USES Visual acuity testing
Subject
Telemedicine
Predicate
USES
Object
Visual acuity testing
ABSTRACT
Importance The coronavirus disease 2019 pandemic illustrates the increasingly important role of telemedicine as a method of clinician-patient interaction. However, electronic applications (apps) for the testing of ophthalmology vital signs, such as visual acuity, can be published and used without any verification of accuracy, validity, or reliability.

Objective:

To reassess the accuracy of visual acuity-testing apps and assess their viability for telehealth. Design, Setting, and

Participants:

The US Apple App Store was queried for apps for visual acuity testing. Anticipated optotype size for various visual acuity lines were calculated and compared against the actual measured optotype size on 4 different Apple hardware devices. No human participants were part of this study. Main Outcomes and

Measures:

Mean (SD) errors were calculated per device and across multiple devices.

Results:

On iPhones, 10 apps met inclusion criteria, with mean errors ranging from 0.2% to 109.9%. On the iPads, 9 apps met inclusion criteria, with mean errors ranging from 0.2% to 398.1%. Six apps met criteria and worked on both iPhone and iPad, with mean errors from 0.2% to 249.5%. Of the 6 apps that worked across devices, the top 3 most accurate apps were Visual Acuity Charts (mean [SD] error, 0.2% [0.0%]), Kay iSight Test Professional (mean [SD] error, 3.5% [0.7%]), and Smart Optometry (mean [SD] error, 15.9% [4.3%]). None of the apps tested were ideal for telemedicine, because some apps displayed accurate optotype size, while others displayed the same letters on separate devices; no apps exhibited both characteristics. Conclusions and Relevance Both Visual Acuity Charts and Kay iSight Test Professional had low mean (SD) errors and functionality across all tested devices, but no apps were suitable for telemedicine. This suggests that new and/or improved visual acuity-testing apps are necessary for optimal telemedicine use.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Optometry / Visual Acuity / Telemedicine / Mobile Applications / Smartphone Type of study: Prognostic study Limits: Humans Language: English Journal: JAMA Ophthalmol Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Optometry / Visual Acuity / Telemedicine / Mobile Applications / Smartphone Type of study: Prognostic study Limits: Humans Language: English Journal: JAMA Ophthalmol Year: 2021 Document Type: Article