Evidence map›Paper›PMID 34462579›Full record

ArticleEye (London, England)2022

Clinical validation of a novel web-application for remote assessment of distance visual acuity.

Arun James Thirunavukarasu, Deborah Mullinger, Remi Mohan Rufus-Toye, Sarah Farrell, Louise E Allen

Registry-linked trialAbstract read
In one paragraph

Article in Eye (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04482387 (DigiVis), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04482387 nacompletednot on this map

DigiVis: Validation of Self-testing Visual Acuity Web-based App to Aid Ophthalmic Telephone Consultations During Covid19 Lockdown and Subsequent Social Distancing Crisis

TypeinterventionalSponsorCambridge University Hospitals NHS Foundation TrustRan2020 to 2021Enrolled120ConditionsVisual Impairment, Amblyopia SuspectArmsDigiVis visual acuity app
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Exploring Parental Views of Remote Vision Testing in Children.The British and Irish orthoptic journal · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Arun James ThirunavukarasuDepartment of Ophthalmology, Cambridge University Hospitals NHS Trust, Cambridge, UK. ajt205@cantab.ac.uk.ORCID 0000-0001-8968-4768
Deborah MullingerDepartment of Ophthalmology, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Remi Mohan Rufus-ToyeDepartment of Ophthalmology, Cambridge University Hospitals NHS Trust, Cambridge, UK.ORCID 0000-0001-5452-9397
Sarah FarrellDepartment of Ophthalmology, Cambridge University Hospitals NHS Trust, Cambridge, UK.ORCID 0000-0001-5957-3282
Louise E AllenDepartment of Ophthalmology, Cambridge University Hospitals NHS Trust, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesOphthalmic disorders cause 8% of hospital clinic attendances, the highest of any specialty. The fundamental need for a distance visual acuity (VA) measurement constrains remote consultation. A web-application, DigiVis, facilitates self-assessment of VA using two internet-connected devices. This prospective validation study aimed to establish its accuracy, reliability, usability and acceptability. SUBJECTS/

methodsIn total, 120 patients aged 5-87 years (median = 27) self-tested their vision twice using DigiVis in addition to their standard clinical assessment. Eyes with VA worse than +0.80 logMAR were excluded. Accuracy and test-retest (TRT) variability were compared using Bland-Altman analysis and intraclass correlation coefficients (ICC). Patient feedback was analysed.

resultsBias between VA tests was insignificant at -0.001 (95% CI -0.017 to 0.015) logMAR. The upper limit of agreement (LOA) was 0.173 (95% CI 0.146 to 0.201) and the lower LOA -0.175 (95% CI -0.202 to -0.147) logMAR. The ICC was 0.818 (95% CI 0.748 to 0.869). DigiVis TRT mean bias was similarly insignificant, at 0.001 (95% CI -0.011 to 0.013) logMAR, the upper LOA was 0.124 (95% CI 0.103 to 0.144) and the lower LOA -0.121 (95% CI -0.142 to -0.101) logMAR. The ICC was 0.922 (95% CI 0.887 to 0.946). 95% of subjects were willing to use DigiVis to monitor vision at home.

conclusionsSelf-tested distance VA using DigiVis is accurate, reliable and well accepted by patients. The app has potential to facilitate home monitoring, triage and remote consultation but widescale implementation will require integration with NHS databases and secure patient data storage.

Indexed as

SoftwareVision TestsHumansReproducibility of ResultsVision, OcularVisual Acuity

Identifiers

PMID34462579
PMCPMC8403827

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.