Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

Optics

Publication Details

Journal of Clinical & Experimental Ophthalmology, Vol.4, 5.

http://dx.doi.org/10.4172/2155-9570.1000304

Abstract

Background: The current study was designed to explore the effect of computer experience on the viability and testretest repeatability of the Moorfields Motion Displacement Test (MMDT), a novel computer-driven glaucoma screening device, in an African community setting. Methods: 164 healthy subjects were recruited from a semi-rural Mozambican environment, and stratified according to computer experience (computer naïve: n=85, computer familiar: n=79). A suprathreshold screening test algorithm was employed, and the global probability of true damage (GPTD), testing time (TT) and false positive (FP) response rate were recorded. The visual field test was conducted twice on the same eye, and results compared to determine intra-sessional repeatability. Results: No inter-group differences in GPTD or TT (p>0.05) were observed between computer subgroups, although FP response rate was significantly higher among computer naïve subjects (p=0.00 for both tests). No inter-sessional differences were observed for GPTD, TT and FP (p>0.05 for all) for either subgroup. A statistically significant positive correlation was found between repeat GPTD, TT and FP measures for all subgroups (P<0.05 for all). Bland Altman analysis revealed good repeatability for both subgroups. Conclusion: This is the first study to evaluate the effect of computer experience on the test-retest repeatability of the MMDT device in an African setting, which is important given the glaucoma screening challenges and the disparities in access to information technology that are unique to developing countries. The results support its general repeatability for those community members likely to be encountered in developing countries, without prior experience of computers

Included in

Optometry Commons

Share

COinS