Effectiveness of Smart Phone App for Selfassessment of Dry Eyes in Smartphone Users
DOI:
https://doi.org/10.61841/24es8j93Keywords:
Dry Eyes, Smartphone App, Dry Eyes Diagnosis, Self-assessment of Dry EyesAbstract
Purpose: Smart phone app (Dry Eye Relief) effectiveness for detection of dry eyes and self-monitoring of dry eyes in smartphone users.
Methods: 250 cases with an age group of 18-35 years of age having access and comfort for using smartphones underwent Schirmer’s test, TBUT, and OSDI score test, along with a battery of tests performed using the app to assess the blink rate, blink interval, and subjective comfort with details on lifestyle, screen time, and contact lens use. We compare manual OSDI with App’s OSDI and classify the persons as having mild, moderate, or severe dry eyes. The clinical tests to diagnose dry eyes are compared with digital tests offered by the smartphone app.
Results: Our study has maximum persons in the age group of 18-22 years with no sex predisposition. On comparison of our OSDI and App scores, both are equal (Pearson’s correlation) in diagnosing dry eyes, but patient satisfaction rate, ease of understanding, and less time-consuming were noted in App Score (0.873). We found a negative correlation between TBUT and blink rate (-0.830) but no correlation between blink interval (0.087) and TBUT. Also with Schirmer’s test we found a negative correlation with blink rate (-0.853) but no correlation between blink interval (0.082). Though TBUT (0.006) and Schirmer’s (0.1) lack a positive correlation with subjective discomfort, interestingly we found that patients with dry eyes can stare more at the screen than people with no dry eyes.
Conclusion: The smartphone app is an effective means for screening of dry eyes by self-assessment and keeping track of its progressionn a tech-savvy population, as they are more vulnerable to dry eye and they are comfortable using such apps. But still, there is a need to standardize protocol and criteria for diagnosis of dry eye. It is free, handy, easy to use, and automated reporting for user understanding.
Financial disclosures: No financial interests to be disclosed.
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References
[1] Symptoms, visual function, and mucin expression of eyes with tear film instability. Shimazaki-Den S, Dogru M, Higa K, Shimazaki J, Cornea. 2013 Sep; 32(9):1211-8
[2] International Dry Eye Workshop (DEWS). Update of the disease]. Herrero-Vanrell R, Peral A. Arch Soc Esp Oftalmol. 2007 Dec; 82(12):733-4
[3] Diagnostic procedures and management of dry eye. Kaštelan S, Tomić M, Salopek-Rabatić J, Novak B Biomed Res Int. 2013; 2013():309723.
[4] Methodologies to diagnose and monitor dry eye disease: report of the Diagnostic Methodology Subcommittee of the International Dry Eye WorkShop (2007). Ocul Surf. 2007 Apr; 5(2):108-52.
[5] Dry eyes: etiology and management. Latkany R. Curr Opin Ophthalmol. 2008 Jul; 19(4):287-91
[6] Prevalence and risk factors of dry eye disease in North India: Ocular surface disease index-basedsectional hospital study Titiyal Jeewan Singh, Falera Ruchita Clara, Kaur Manpreet, Sharma Vijay, Sharma
Namrata Year : 2018 | Volume: 66 | Issue Number: 2 | Page: 207-211
[7] Dubey, A.K., et al. "SPSUC: slice, pattern & style of ubiquitous computing." International Journal of
Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN (P): 2249-6831.
[8] Shujaat S, Jawed M, Memon S, Talpur KI. Determination of Risk Factors and Treatment of Dry Eye
Disease in Type 1 Diabetes before Corneal Complications at Sindh Institute of Ophthalmology and Visual
Sciences. Open Ophthalmol J. 2017; 11:355‐361. Published 2017 Nov 23.
[9] Uchino M, Schaumberg DA. Dry Eye Disease: Impact on Quality of Life and Vision. Curr Ophthalmol
Rep. 2013; 1(2):51‐57.
[10] Narayan, M. "Prevalence of fungal keratitis in population—an Indian based, prospective, retrospective
study." International Journal of General Medicine and Pharmacy 2.4 (2013): 37-46.
[11] Walt J. Ocular Surface Disease Index (OSDI) Administration and Scoring Manual. Irvine, CA: Allergan,
Inc.; 2004.
[12] Schiffman RM, Christianson MD, Jacobsen G, Hirsch JD, Reis BL. Reliability and validity of the Ocular
Surface Disease Index. Arch Ophthalmol. 2000; 118(5): 615-621.
[13] Balakrishnan, V.I.D.Y.A., K.P. Asifa, and K. C. Chitra. "Genotoxic potential of nonylphenol in freshwater
fish, Oreochromis mossambicus." International Journal of Applied and Natural Sciences 3.2 (2014): 81-88.
[14] Vitale S, Goodman LA, Reed GF, Smith JA. Comparison of the NEI-VFQ and OSDI questionnaires in
patients with Sjögren’s syndrome–related dry eye. Health Qual Life Outcomes. 2004; 2: e44.
[15] The evaluation of dry eye mobile apps for screening of dry eye disease and educational tear events in Japan.
[16] Uchino M, Kawashima M, Uchino Y et al. Ocul Surf. 2018 Oct; 16(4):430-435. Epub 2018 Jun 5
[17] The Economic Times Newspaper May 10, 2019
[18] American Optometrist Associations https://www.aoa.org/documents/infographics/SYVM2016Info
graphics.pdf
[19] Kanaski textbook of Ophthalmology, 8th edition.
[20] Hauser W. Dry eye: a young person's disease? Review of Optometry. 2017 Feb 15; 154(2):60-4.
[21] Modern Technology and a Multi-Screen lifestyle are Viewed as Important Factors in Rising Prevalence of Dry
Eye Disease, PR Newshire, Lexington, October 2016. National Eye Care Survey.
[22] Jalaludin, J., M.S. Nordiyana, and N.F. Suhaimi. "Exposure to indoor air pollutants (formaldehyde, VOCs,
ultrafine particles) and respiratory health symptoms among office workers in old and new buildings in
Universiti Putra Malaysia." International Journal of Applied and Natural Sciences 3.1 (2014): 69-80.
[23] Shanti Y, Shehada R, Bakkar MM, Qaddumi J. Prevalence and associated risk factors of dry eye disease in
16 northern West Bank towns in Palestine: a cross-sectional study. BMC ophthalmology. 2020 Dec
1;20(1):26.
[24] Noor NA. Dry Eye Disease: The Undervalued Impact on Quality of Life. WJ Opthalmol & Vision Res. 1
(1): 2018. WJOVR. MS. ID.; 505.
[25] Miller KL, Walt JG, Mink DR, Satram-Hoang S, Wilson SE, Perry HD, Asbell PA, Pflugfelder SC.
Minimal clinically important difference for the ocular surface disease index. Archives of Ophthalmology.
2010 Jan 1; 128(1):94-101.
[26] Vali, Shaik Bajid, AK Sharma, and Syed Musthak Ahmed. "Significance of Images and Algorithms of Image Processing for Detection and Determination of Diabetes at Early Stage." International Journal of Electronics and Communication Engineering (IJECE) 6.5, Aug-Sep 2017; 17-28
[27] Inomata T, Iwagami M, Nakamura M, et al. Characteristics and Risk Factors Associated With Diagnosed and Undiagnosed Symptomatic Dry Eye Using a Smartphone Application. JAMA Ophthalmol. 2020;138(1):58–68.
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