September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Development and Testing of an Automated Computer Tablet-Based Method for Self-Testing of High and Low contrast Near Visual Acuity in Ophthalmic Patients.
Author Affiliations & Notes
  • Humza Tahir
    Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
  • Ian J Murray
    Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
  • Neil Robert Alan Parry
    Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
    Vision Science Centre, Manchester Royal Eye Hospital, Manchester, United Kingdom
  • Naznin Mirza
    Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
  • Tariq Aslam
    Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
    Vision Science Centre, Manchester Royal Eye Hospital, Manchester, United Kingdom
  • Footnotes
    Commercial Relationships   Humza Tahir, None; Ian Murray, None; Neil Parry, None; Naznin Mirza, None; Tariq Aslam, None
  • Footnotes
    Support  The study was funded by a research grant from Central Manchester Foundation Trust
Investigative Ophthalmology & Visual Science September 2016, Vol.57, No Pagination Specified. doi:
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      Humza Tahir, Ian J Murray, Neil Robert Alan Parry, Naznin Mirza, Tariq Aslam; Development and Testing of an Automated Computer Tablet-Based Method for Self-Testing of High and Low contrast Near Visual Acuity in Ophthalmic Patients.. Invest. Ophthalmol. Vis. Sci. 201657(12):.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Many eye diseases require on-going assessment for optimal management, creating an ever-increasing burden on patients and hospitals that could potentially be reduced through home vision monitoring. However, there is limited evidence for the utility of current applications and devices for this. To address this we present a new automated, computer tablet-based method for self-testing near visual acuity (VA) for both high and low contrast targets. We report on its reliability and agreement with gold standard measures.

Methods : The Mobile Assessment of Vision by intERactIve Computer (MAVERIC) system consists of a calibrated computer tablet housed in a bespoke viewing chamber. Purpose-built software automatically elicits touch-screen responses from subjects to measure their near VA for either low or high contrast acuity. Near high contrast acuity was measured using both the MAVERIC system and a near Landolt C chart in one eye for eighty-one patients (average age (±1s.d.) 61 (±14) years, 37 males) and low contrast acuity using the MAVERIC system and a 25% contrast near EDTRS chart in one eye of a separate ninety-five patients (average age 69 (±15) years, 42 males). The MAVERIC near acuity was also retested after twenty minutes to evaluate repeatability.

Results : One hundred and seventy -three patients (96%) completed the self- testing MAVERIC system without formal assistance. Repeatability of both high and low contrast MAVERIC acuity measures, and their agreement with the chart tests, was assessed using the Bland-Altman comparison method. High contrast measures repeatability had a mean difference of 0.003 (±0.09) with limits of agreement (LOA) of 2SD of ±0.17 while agreement with the chart-based gold standard had a mean difference of -0.03 (±0.16) and LOA of ±0.31. For low contrast acuity repeatability, mean difference was -0.02 (±0.12) with LOA of ±0.23 while agreement with chart-based methods demonstrated a mean difference of 0.07 (±0.15) with LOA of ±0.30.

Conclusions : This study demonstrates the potential utility of the MAVERIC system for patients with ophthalmic disease to self-test their high and low contrast VA. The technique has a high degree of reliability and agreement with gold standard chart based measurements.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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