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Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study.

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  • 1Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

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Summary

A study in Thailand found 85.8% of smartphone app users had symptomatic dry eye (DE). Key risk factors include female sex, prolonged screen time, and lower education levels, highlighting the need for targeted public health strategies.

Keywords:
blink ratedry eyeepidemiologymHealthmaximum blink intervalophthalmologyprevalencerisk factorsscreeningsmartphone applicationsymptomsvision

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Area of Science:

  • Ophthalmology
  • Public Health
  • Digital Health

Background:

  • Dry eye (DE) is a prevalent chronic inflammatory ocular surface disease.
  • Smartphone adoption for healthcare is rapidly increasing.
  • The 'Dry eye or not?' app was developed to assess DE prevalence and provide user feedback in Thailand.

Purpose of the Study:

  • To determine the prevalence of symptomatic dry eye (DE) in Thailand using a smartphone application.
  • To compare ocular parameters (blink rate, MBI, BSCVA) between individuals with and without symptomatic DE.
  • To identify risk factors associated with symptomatic DE within the Thai population.

Main Methods:

  • A cross-sectional study utilizing data from the 'Dry eye or not?' smartphone app (November 2019 - July 2020).
  • Data collected included demographics, Ocular Surface Disease Index (OSDI) scores, blink rate, maximum blink interval (MBI), best spectacle-corrected visual acuity (BSCVA), and visual display terminal (VDT) use.
  • Symptomatic DE was defined as an OSDI score of 13 or higher.

Main Results:

  • The prevalence of symptomatic DE among app users in Thailand was 85.8%.
  • Significant associations with symptomatic DE included worse BSCVA, increased blink rate, reduced MBI, female sex, VDT use exceeding 6 hours, and lower educational attainment.
  • Age over 50 was found to be less associated with symptomatic DE.

Conclusions:

  • The 'Dry eye or not?' smartphone app effectively identified a high prevalence (85.8%) of symptomatic DE in Thailand.
  • The app can evaluate DE signs and risk factors, aiding in the development of strategic public health interventions.
  • Mobile health applications show promise for large-scale screening and management of ocular surface diseases like dry eye.