Validity of Electronic Device-Based Application for Visual Acuity Examination: A Systematic Review

A Systematic Review

  • Natasya Febrilia Yulianti Faculty of Medicine, University of Jember, Jember, 68121 Indonesia
  • Al Munawir Department of Pathology, Faculty of Medicine, University of Jember, Jember, 68121 Indonesia
  • Novan K. Adji Departement of Neurosurgery, Soebandi General Hospital, Jember, 68111 Indonesia
Keywords: Application, electronic device, visual acuity, systematic review

Abstract

Recent years, advances in the internet and communication technology have enabled the proliferation of digital medical devices with innovations in health applications, including for visual acuity examination. However, the validity of these applications remains unclear. The limited mobility and health service during the COVID-19 pandemic underscores the urgent need to conduct research that validates these electronic device-based applications. Thus, this study aims to critically analyze whether the electronic device-based application can provide a valid and high-quality visual acuity examination. A systematic review was conducted through studies searching PubMed, MEDLINE, Springer, and Cochrane Library using specific keywords. After the studies were selected through inclusion and exclusion criteria, extraction was carried out. Publications from 2011 to the end of 2021 were reviewed, yielding in 1409 studies, of which 19 were included. The results showed a lower systematic bias for distance visual acuity testing with electronic device-based applications than standard reference tests with a mean difference of -0.08 to 0.10 logMAR. The validity of the near visual acuity examination with the application shows better results than the distance examination, which is marked by smaller 95% limits of agreement range. The results of the analysis of Bland-Altman plots in all the studies reviewed showed that the accuracy of the examination results tended to increase in patients who had better visual acuity. In practice, the use of electronic device-based applications for visual acuity examination can increase the work effectiveness of medical personnel and the proliferation of digital medical devices. It can also be one of the breakthroughs in remote medical services and support the implementation of telemedicine policies.

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References

Parasuraman S, Sam AT, Yee SWK, Chuon BLC, Ren LY. “Smartphone Usage and Increased Risk of Mobile Phone Addiction: A Concurrent Study.” International Journal of Pharmaceutical Investigation, vol. 7, no. 3, 2017, pp. 125–31, doi:10.4103/jphi.JPHI_56_17.

Bates DW, Landman A, Levine DM. “Health Apps and Health Policy: What Is Needed?” JAMA, vol. 320, no. 19, 2018, pp. 1975–1976.

Bach M. “The Freinburg Visual Acuity Test Automatic Measurement of Visual Acuity.” Optometry and Vision Science, vol. 73, no. 1, 1996, pp. 49–53.

Rosser D, Murdoch I, Fitzke F, Laidlaw D. “Improving on ETDRS Acuities: Desgin and Result for a Computerized Thresholding Device.” British Journal of Opthalmology, vol. 17, no. 701, 2003, p. 6.

Marsden J, Stevens S, Ebri A. "How to measure distance visual acuity." Community Eye Health, vol. 27, no. 85, 2014, p. 16.

Bujger Z, Picman J, Lukenda A, Petricek I. “Standardisation of Optotypes.” Lijecnicki Vjesnik, vol. 132, no. 7–8, 2010, pp. 252–256.

Köberlein J, Beifus K, Schaffert C, Finger RP. “The Economic Burden of Visual Impairment and Blindness: A Systematic Review.” BMJ Open, vol. 3, no. 11, 2013, p. e003471.

Hirneiss C. “The Impact of a Better-Seeing Eye and a Worse-Seeing Eye on Vision-Related Quality of Life.” Clinical Ophthalmology, vol. 8, 2014, pp. 1703–1709.

WHO. World Report on Vision. World Health Organization 2019. 2021.

Ismandari F. Pusat Data Dan Informasi. Kementerian Kesehatan RI. 2018.

Petersen E, Hui D, Hamer DH, et al. “Li Wenliang, a Face to the Frontline Healthcare Worker. The First Doctor to Notify the Emergence of the SARS-CoV-2, (COVID-19), Outbreak.” International Journal of Infectious Diseases, vol. 93, 2020, pp. 205–207, doi:https://doi.org/10.1016/j.ijid.2020.02.052.

Anstice NS, Jacobs RJ, Simkin SK, Thomson M, Thompson B, Collins A V. “Do Picture-Based Charts Overestimate Visual Acuity? Comparison of Kay Pictures, Lea Symbols, HOTV and Keeler LogMAR Charts with Sloan Letters in Adults and Children.” PloS One, vol. 12, no. 2, Feb. 2017, doi:10.1371/JOURNAL.PONE.0170839.

Satgunam P, Thakur M, Sachdeva V, Reddy S, Rani PK. “Validation of Visual Acuity Applications for Teleophthalmology during COVID-19. Indian Journal of Ophthalmology.” Indian Journal of Ophthalmology, vol. 69, no. 2, 2021, pp. 385–390, doi:https://doi.org/10.4103/ijo.IJO_2333_20.

Tiraset N, Poonyathalang A, Padungkiatsagul T, Deeyai M, Vichitkunakorn P, Vanikieti K. “Comparison of Visual Acuity Measurement Using Three Methods: Standard Etdrs Chart, near Chart and a Smartphone-Based Eye Chart Application.” Clinical Ophthalmology, vol. 15, 2021, pp. 859–69, doi:10.2147/OPTH.S304272.

Hazari H, Curtis R, Eden K, Hopman WM, Irrcher I, Bona MD. “Validation of the Visual Acuity IPad App Eye Chart Pro Compared to the Standard Early Treatment Diabetic Retinopathy Study Chart in a Low-Vision Population.” Journal of Telemedicine and Telecare, 2020, doi:10.1177/1357633X20960640.

Ansell K, Maconachie G, Bjerre A. “Does the Eyechart App for Iphones Give Comparable Measurements to Traditional Visual Acuity Charts?” British and Irish Orthoptic Journal, vol. 16, no. 1, 2020, pp. 19–24, doi:10.22599/bioj.146.

Wisse RPL, Muijzer MB, Cassano F, Godefrooij DA, Prevoo YFDM, Soeters N. “Validation of an Independent Web-Based Tool for Measuring Visual Acuity and Refractive Error via the MORE (Manifest Versus Online Refractive Evaluation) Trial: Prospective Open-Label Noninferiority Clinical Trial.” Journal of Medical Internet Research, vol. 21, no. 11, 2019, pp. 1–13, doi:10.2196/14808.

Han X, Scheetz J, Keel S, et al. “Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home).” Translational Vision Science and Technology, vol. 8, no. 4, John Wiley & Sons, Ltd., July 2019, doi:10.1002/CENTRAL/CN-02011345.

Brucker J, Bhatia V, Sahel JA, Girmens JF, Mohand-Saïd S. “Odysight: A Mobile Medical Application Designed for Remote Monitoring—A Prospective Study Comparison with Standard Clinical Eye Tests.” Ophthalmology and Therapy, vol. 8, no. 3, 2019, pp. 461–76, doi:10.1007/s40123-019-0203-9.

Zhao L, Stinnett SS, Prakalapakorn SG. “Visual Acuity Assessment and Vision Screening Using a Novel Smartphone Application.” Journal of Pediatrics, vol. 213, Mosby Inc., Oct. 2019, pp. 203-210.e1, doi:10.1016/j.jpeds.2019.06.021.

Nik Azis NN, Chew FLM, Rosland SF, Ramlee A, Che-Hamzah J. “Parents’ Performance Using the AAPOS Vision Screening App to Test Visual Acuity in Malaysian Preschoolers.” Journal of AAPOS, vol. 23, no. 5, 2019, pp. 268.e1-268.e6, doi:10.1016/J.JAAPOS.2019.01.019.

Rono HK, Bastawrous A, Macleod D, et al. “Smartphone-Based Screening for Visual Impairment in Kenyan School Children: A Cluster Randomised Controlled Trial.” The Lancet Global Health, vol. 6, no. 8, 2018, pp. e924–32, doi:10.1016/S2214-109X(18)30244-4.

Calabrèse A, To L, He Y, Berkholtz E, Rafianm P, Legge GE. “Comparing Performance on the MNREAD IPad Application with the MNREAD Acuity Chart.” Journal of Vision, vol. 18, no. 1, 2018, doi:10.1167/18.1.8.

Pathipati AS, Wood EH, Lam CK, Sáles CS, Moshfeghi DM. “Visual Acuity Measured with a Smartphone App Is More Accurate than Snellen Testing by Emergency Department Providers.” Graefe’s Archive for Clinical and Experimental Ophthalmology, vol. 254, no. 6, Springer Verlag, June 2016, pp. 1175–80, doi:10.1007/S00417-016-3291-4.

Bastawrous A, Rono HK, Livingstone IA, et al. “Development and Validation of a Smartphone-Based Visual Acuity Test (Peek Acuity) for Clinical Practice and Community-Based Fieldwork.” JAMA Ophthalmology, vol. 133, no. 8, American Medical Association, Aug. 2015, pp. 930–37,

Jan-Bond C, Wee-Min T, Hong-Kee N, et al. “REST – An Innovative Rapid Eye Screening Test.” Journal of Mobile Technology in Medicine, vol. 4, no. 3, 2015, pp. 20–25, doi:10.7309/jmtm.4.3.4.

Tofigh S, Shortridge E, Elkeeb A, Godley BF. “Effectiveness of a Smartphone Application for Testing near Visual Acuity.” Eye, vol. 29, no. 11, 2015, pp. 1464–68, doi:10.1038/EYE.2015.138.

Perera C, Chakrabarti R, Islam FMA, Crowston J. "The Eye Phone Study: reliability and accuracy of assessing Snellen visual acuity using smartphone technology". no. 7, 2015, pp. 888–94, doi:10.1038/EYE.2015.60

Toner KN, Lynn MJ, Candy TR, Hutchinson AK. “The Handy Eye Check: A Mobile Medical Application to Test Visual Acuity in Children.” Journal of AAPOS, vol. 18, no. 3, 2014, pp. 258–60, doi:10.1016/j.jaapos.2014.01.011.

Gounder PA, Cole E, Colley S, Hille DM. “Validation of a Portable Electronic Visual Acuity System.” Journal of Mobile Technology in Medicine, vol. 3, no. 2, 2014, pp. 35–39, doi:10.7309/jmtm.3.2.6.

Zhang ZT, Zhang SC, Huang XG, Liang LY. “A Pilot Trial of the IPad Tablet Computer as a Portable Device for Visual Acuity Testing.” Journal of Telemedicine and Telecare, vol. 19, no. 1, 2013, pp. 55–59, doi:10.1177/1357633X12474964.

Xu R, Bradley A. “IURead: A New Computer-Based Reading Test.” Ophthalmic and Physiological Optics, vol. 35, no. 5, Blackwell Publishing Ltd, Sept. 2015, pp. 500–13, doi:10.1111/OPO.12233.

Noyes J, Garland K. “Computer- vs. Paper-Based Tasks: Are They Equivalent?” Ergonomics, vol. 51, Oct. 2008, pp. 1352–75, doi:10.1080/00140130802170387.

Köpper M, Mayr S, Buchner A. “Reading from Computer Screen versus Reading from Paper: Does It Still Make a Difference?” Ergonomics, vol. 59, no. 5, May 2016, pp. 615–32, doi:10.1080/00140139.2015.1100757.

Kang Y-Y, Wang M-JJ, Lin R. “Usability Evaluation of E-Books.” Displays, vol. 30, no. 2, 2009, pp. 49–52, doi:https://doi.org/10.1016/j.displa.2008.12.002.

Black JM, Jacobs RJ, Phillips G, et al. “An Assessment of the IPad as a Testing Platform for Distance Visual Acuity in Adults.” BMJ Open, vol. 3, no. 6, 2013, pp. 5–7, doi:10.1136/bmjopen-2013-002730.

Syed ST, Gerber BS, Sharp LK. “Traveling towards Disease: Transportation Barriers to Health Care Access.” Journal of Community Health, vol. 38, no. 5, Oct. 2013, pp. 976–93, doi:10.1007/s10900-013-9681-1.

Alotaibi M, Honarvar Shakibaei Asli B, Khan M. “Non-Invasive Inspections: A Review on Methods and Tools.” Sensors (Basel, Switzerland), vol. 21, no. 24, MDPI, Dec. 2021, p. 8474, doi:10.3390/s21248474.

Khurana RN, Hoang C, Khanani AM, Steklov N, Singerman LJ. “A Smart Mobile Application to Monitor Visual Function in Diabetic Retinopathy and Age-Related Macular Degeneration: The CLEAR Study.” American Journal of Ophthalmology, vol. 227, 2021, pp. 222–230, doi:10.1002/CENTRAL/CN-02299011.

Naidoo KS, Leasher J, Bourne RR, et al. “Global Vision Impairment and Blindness Due to Uncorrected Refractive Error, 1990-2010.” Optometry and Vision Science, vol. 93, no. 3, 2016, pp. 227–34, doi:10.1097/OPX.0000000000000796.

Published
2022-02-10
How to Cite
[1]
N. F. Yulianti, A. Munawir, and N. K. Adji, “Validity of Electronic Device-Based Application for Visual Acuity Examination: A Systematic Review: A Systematic Review”, Indones.J.electronic.electromed.med.inf, vol. 4, no. 1, pp. 41-47, Feb. 2022.
Section
Review Article