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A Comparative Analysis of Visual Field Test Results Using Tablet-Based and Table-Mounted Devices in a Telemedicine
Ellen K Antwi-Adjei1,2, Thomas A Swain2,3, Christopher A Girkin2
1School of Optometry, University of Alabama at Birmingham, Birmingham, AL, USA.
Translational Vision Science & Technology
|March 26, 2026
Summary
Tablet-based visual field (VF) testing shows moderate agreement with traditional devices, offering potential for telemedicine in rural eye care. Further research is needed for clinical utility.
Area of Science:
- Ophthalmology
- Medical Technology
- Telemedicine
Background:
- Underserved rural areas face challenges accessing specialized eye care, including visual field (VF) testing.
- Telemedicine offers a potential solution to bridge this gap, but requires validated diagnostic tools.
Purpose of the Study:
- To compare visual field (VF) outcomes between a tablet-based device (Melbourne Rapid Fields [MRF]) and a table-mounted device (Humphrey Visual Field Analyzer [HFA]).
- To assess the feasibility of using MRF within a telemedicine program for rural populations.
Main Methods:
- Participants underwent VF testing using both HFA and MRF in a counterbalanced order.
- Agreement was assessed using intraclass correlation coefficients and Bland-Altman plots for reliability indices, mean deviation (MD), pattern standard deviation (PD)/visual capacity (VC).
Main Results:
- Moderate agreement was found between MRF and HFA for MD, PD, and VC (intraclass correlation coefficients ranging from 0.55 to 0.65).
- Fixation losses were higher with HFA, but no significant differences were noted for false positives/negatives.
- MRF showed higher PD and lower VC compared to HFA, with similar trends observed in both eyes.
Conclusions:
- The MRF demonstrates moderate agreement with the HFA for key visual field indices.
- These findings support the initial feasibility of integrating tablet-based perimetry into telemedicine programs for rural eye care.
- Further studies are necessary to establish the long-term reliability and clinical utility of MRF in telemedicine settings.

