Literature DB >> 32747334

Using an open-source tablet perimeter (Eyecatcher) as a rapid triage measure for glaucoma clinic waiting areas.

Pete R Jones1, Dan Lindfield2, David P Crabb3.   

Abstract

BACKGROUND: Glaucoma services are under unprecedented strain. The UK Healthcare Safety Investigation Branch recently called for new ways to identify glaucoma patients most at risk of developing sight loss, and of filtering-out false-positive referrals. Here, we evaluate the feasibility of one such technology, Eyecatcher: a free, tablet-based 'triage' perimeter, designed to be used unsupervised in clinic waiting areas. Eyecatcher does not require a button or headrest: patients are simply required to look at fixed-luminance dots as they appear.
METHODS: Seventy-seven people were tested twice using Eyecatcher (one eye only) while waiting for a routine appointment in a UK glaucoma clinic. The sample included individuals with an established diagnosis of glaucoma, and false-positive new referrals (no visual field or optic nerve abnormalities). No attempts were made to control the testing environment. Patients wore their own glasses and received minimal task instruction.
RESULTS: Eyecatcher was fast (median: 2.5 min), produced results in good agreement with standard automated perimetry (SAP), and was rated as more enjoyable, less tiring and easier to perform than SAP (all p<0.001). It exhibited good separation (area under receiver operating characteristic=0.97) between eyes with advanced field loss (mean deviation (MD) < -6 dB) and those within normal limits (MD > -2 dB). And it was able to flag two thirds of false-positive referrals as functionally normal. However, eight people (10%) failed to complete the test twice, and reasons for this limitation are discussed.
CONCLUSIONS: Tablet-based eye-movement perimetry could potentially provide a pragmatic way of triaging busy glaucoma clinics (ie, flagging high-risk patients and possible false-positive referrals). © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  diagnostic tests/Investigation; field of vision; glaucoma; psychophysics

Year:  2020        PMID: 32747334     DOI: 10.1136/bjophthalmol-2020-316018

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  7 in total

1.  Home perimetry. Is possible?

Authors:  F J Muñoz-Negrete; J Moreno-Montañés; G Rebolleda
Journal:  Arch Soc Esp Oftalmol (Engl Ed)       Date:  2021-05-15

Review 2.  Spotlight on iPad Visual Field Tests Efficacy.

Authors:  Parul Ichhpujani; Hennaav Dhillon
Journal:  Clin Ophthalmol       Date:  2022-07-05

Review 3.  [Telemedical applications in ophthalmology in times of COVID-19].

Authors:  Lars Choritz; Michael Hoffmann; Hagen Thieme
Journal:  Ophthalmologe       Date:  2021-08-18       Impact factor: 1.059

4.  A case control study examining the feasibility of using eye tracking perimetry to differentiate patients with glaucoma from healthy controls.

Authors:  Andrew J Tatham; Ian C Murray; Alice D McTrusty; Lorraine A Cameron; Antonios Perperidis; Harry M Brash; Brian W Fleck; Robert A Minns
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

5.  Acceptability of a home-based visual field test (Eyecatcher) for glaucoma home monitoring: a qualitative study of patients' views and experiences.

Authors:  Lee Jones; Tamsin Callaghan; Peter Campbell; Pete R Jones; Deanna J Taylor; Daniel S Asfaw; David F Edgar; David P Crabb
Journal:  BMJ Open       Date:  2021-04-05       Impact factor: 2.692

6.  Developing a Screening Tool for Areas of Abnormal Central Vision Using Visual Stimuli With Natural Scene Statistics.

Authors:  Rekha Srinivasan; Andrew Turpin; Allison M McKendrick
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.283

7.  An Open-source Static Threshold Perimetry Test Using Remote Eye-tracking (Eyecatcher): Description, Validation, and Preliminary Normative Data.

Authors:  Pete R Jones
Journal:  Transl Vis Sci Technol       Date:  2020-07-13       Impact factor: 3.283

  7 in total

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