Abstract
Purpose : Southeastern Asian countries are undergoing accelerated myopic shifts alongside economic development. Although myopia prevalence remains lower than in East Asian populations, accessible detection methods are essential as digital device use permeates younger generations. We previously demonstrated that smartphone photorefraction as a low-cost myopia screening tool, yielding results comparable to autorefraction without cycloplegia in controlled lab settings. This study evaluated its applicability for myopia detection in community vision screenings.
Methods : Vision screenings conducted in two public schools in Cambodia (August 2024) and the Philippines (January 2025). In addition to visual acuity assessment, refractive errors were measured via smartphone photorefraction and a commercial infrared photorefractor, both non-cycloplegic. University student volunteers were trained to perform smartphone photorefraction.
Results : 323 schoolchildren aged 4 to 18 years old (Mean ± SEM = 10.00 ± 0.18) with refractive errors ranging from +6.00 to -9.00D (Mean ± SEM = -0.24 ± 0.07 D) were analysed. 23% (95% CI: 19 - 26%) of the 646 eyes were myopic (spherical equivalent ≤ -0.50D), with no significant difference by nationality [X2(1, 646) = 0.61, p = 0.43]. Non-gradable photos yielded a 4% inconclusive rate. Smartphone photorefraction showed mean absolute error ± SEM of 0.75 ± 0.02D (CI: 0.72 - 0.79D) when compared with the commercial device. For detecting visually significant myopia (≤ -2.00 D), sensitivity, specificity, and positive predictive value were 93% (CI: 89 - 96%), 97% (CI: 96 - 98%), and 73% (CI: 68 - 79%), respectively. Overall accuracy was 97% (CI: 96 - 97%), with ROC AUC of 0.97 (CI: 0.95 - 0.99).
Conclusions : This represents the first field validation of smartphone photorefraction for myopia screening. Operated by lay volunteers, it sustained strong performance versus lab benchmarks, reinforcing its potential for scalable myopia detection in resource-limited settings.
This abstract was presented at the 2026 ARVO Annual Meeting, held in Denver, CO, May 3-7, 2026.
Methods : Vision screenings conducted in two public schools in Cambodia (August 2024) and the Philippines (January 2025). In addition to visual acuity assessment, refractive errors were measured via smartphone photorefraction and a commercial infrared photorefractor, both non-cycloplegic. University student volunteers were trained to perform smartphone photorefraction.
Results : 323 schoolchildren aged 4 to 18 years old (Mean ± SEM = 10.00 ± 0.18) with refractive errors ranging from +6.00 to -9.00D (Mean ± SEM = -0.24 ± 0.07 D) were analysed. 23% (95% CI: 19 - 26%) of the 646 eyes were myopic (spherical equivalent ≤ -0.50D), with no significant difference by nationality [X2(1, 646) = 0.61, p = 0.43]. Non-gradable photos yielded a 4% inconclusive rate. Smartphone photorefraction showed mean absolute error ± SEM of 0.75 ± 0.02D (CI: 0.72 - 0.79D) when compared with the commercial device. For detecting visually significant myopia (≤ -2.00 D), sensitivity, specificity, and positive predictive value were 93% (CI: 89 - 96%), 97% (CI: 96 - 98%), and 73% (CI: 68 - 79%), respectively. Overall accuracy was 97% (CI: 96 - 97%), with ROC AUC of 0.97 (CI: 0.95 - 0.99).
Conclusions : This represents the first field validation of smartphone photorefraction for myopia screening. Operated by lay volunteers, it sustained strong performance versus lab benchmarks, reinforcing its potential for scalable myopia detection in resource-limited settings.
This abstract was presented at the 2026 ARVO Annual Meeting, held in Denver, CO, May 3-7, 2026.
| Original language | English |
|---|---|
| Title of host publication | Investigative Ophthalmology & Visual Science |
| Publisher | The Association for Research in Vision and Ophthalmology |
| Volume | 67 |
| Edition | 7 |
| ISBN (Electronic) | 1552-5783 |
| Publication status | Published - 1 Jun 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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