Document Type : Original Article
Authors
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1. Assistant Professor, DR. M.G.R. Educational and Research Institute, ACS Medical College, Faculty of Allied Health Sciences, Chennai, Tamil Nadu,India
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Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai,
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Lecturer and Research Scholar, Faculty of Allied Health Sciences, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India
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Lecturer, Faculty of Allied Health Sciences, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India
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3. Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu. Mail: ajithoptom@gmail.com
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3. Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu.
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4. Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu,India
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6. Department of Optometry, Faculty of Allied Health Sciences, DR M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu.
Abstract
Background:
Mobile health technologies offer promising solutions to vision screening gaps, especially in resource-limited environments. This study evaluates the diagnostic accuracy of the Peek Acuity smartphone application in comparison with the conventional Snellen chart for assessing visual acuity (VA) among young adults.
Methods:
A cross-sectional study was conducted with 100 undergraduate students aged 18–23 years at a tertiary academic institution. Monocular VA was assessed using both the Snellen chart and the Peek Acuity app. Sex and age distributions were analyzed using Chi-square goodness-of-fit tests. Pearson correlation coefficients were used to determine the relationship between Snellen and Peek VA scores for each eye.
Results:
This study included 100 participants, 69% were female (95% CI: 58.8%–77.7%) and 31% male (95% CI: 22.3%–41.2%), with a significant sex distribution difference (p < 0.001). The mean age was 21.0 ± 0.33 years, with 92% of students aged 21. Age distribution was significantly skewed (χ² = 239.6, df = 3, p < 0.001). Peek and Snellen VA scores matched in 65% of right eyes and 69% of left eyes. A strong correlation was found between Snellen and Peek results in the right eye (r = 0.79, p < 0.001) and an even stronger correlation in the left eye (r = 0.85, p < 0.001), indicating close agreement between the tools.
Conclusion:
Peek Acuity demonstrates strong concordance with the Snellen chart and serves as a reliable, accessible, and low-cost alternative for VA screening in young adult populations.
Keywords
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