| Diagnostic Accuracy of the Peek Acuity Smartphone App Versus Conventional Snellen Charts in Young Adults: A Cross-Sectional Study | ||
| Benha Medical Journal | ||
| Volume 42, Issue 10, October 2025, Pages 27-35 PDF (791.57 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/bmfj.2025.397098.2489 | ||
| Authors | ||
| SUDESAN JOTHI* 1; Sowmya E2; Rajalaksmi S3; Muralitharan N4; Annie A. Solomon3; ponmozhi N4; Devlin Ebenezer5; Ajith Kumar6; Priyadharshini D7; vidyashree p8 | ||
| 11. Assistant Professor, DR. M.G.R. Educational and Research Institute, ACS Medical College, Faculty of Allied Health Sciences, Chennai, Tamil Nadu,India | ||
| 2Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, | ||
| 3Lecturer and Research Scholar, Faculty of Allied Health Sciences, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India | ||
| 4Lecturer, Faculty of Allied Health Sciences, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India | ||
| 53. 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 | ||
| 63. Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu. | ||
| 74. Department of Optometry, Faculty of Allied Health Sciences, DR. M.G.R. Educational and Research Institute, ACS Medical College, Chennai, Tamil Nadu,India | ||
| 86. 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 | ||
| Keywords: Peek Acuity; Visual Acuity; Smartphone Application; Mobile Health (mHealth); Teleophthalmology | ||
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