Skip to main content

Main menu

  • Home
  • Content
    • Latest
    • Archive
    • home
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
    • Join SMJ
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Advertising
    • Alerts
    • Feedback
    • Folders
    • Help
  • Other Publications
    • NeuroSciences Journal

User menu

  • My alerts
  • Log in

Search

  • Advanced search
Saudi Medical Journal
  • Other Publications
    • NeuroSciences Journal
  • My alerts
  • Log in
Saudi Medical Journal

Advanced Search

  • Home
  • Content
    • Latest
    • Archive
    • home
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
    • Join SMJ
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Advertising
    • Alerts
    • Feedback
    • Folders
    • Help
  • Follow psmmc on Twitter
  • Visit psmmc on Facebook
  • RSS
Research ArticleOriginal Article
Open Access

“Smart Optometry” phone-based application as a visual acuity testing tool among pediatric population

Lina H. Raffa, Nasser T. Balbaid and Mariam M. Ageel
Saudi Medical Journal August 2022, 43 (8) 946-953; DOI: https://doi.org/10.15537/smj.2022.43.8.20220374
Lina H. Raffa
From the Department of Ophthalmology (Raffa, Balbaid), King Abdulaziz University Hospital; and from Department of Ophthalmology (Ageel), Jeddah Eye Hospital, Jeddah, Kingdom of Saudi Arabia.
MD PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
Nasser T. Balbaid
From the Department of Ophthalmology (Raffa, Balbaid), King Abdulaziz University Hospital; and from Department of Ophthalmology (Ageel), Jeddah Eye Hospital, Jeddah, Kingdom of Saudi Arabia.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mariam M. Ageel
From the Department of Ophthalmology (Raffa, Balbaid), King Abdulaziz University Hospital; and from Department of Ophthalmology (Ageel), Jeddah Eye Hospital, Jeddah, Kingdom of Saudi Arabia.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    - Study flowchart visual acuity testing sequence.

  • Figure 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2

    - Paired t-test between standard (S), application by clinician (AC), application by parent/caregiver (AP), and near (N) methods. NS: non-significant, *indicates significance

  • Figure 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3

    - Bland Altman plots for limits of agreement between visual acuity tested with A) Smart Optometry and standard Snellen chart and B) near vision chart.

Tables

  • Figures
    • View popup
    Table 1

    - Six pair comparison of 200 eyes of 100 patients between visual acuity measured by clinic-based VA (at near and distance) and “Smart Optometry” application.

    Paired samples statisticsnMean ± SDMean difference95% CI of the differenceP-value
    LowerUpper
    Pair 1logMAR S2000.11 ± 0.2-0.023-0.041-0.0060.010*
    logMAR AC2000.13 ± 0.2
    Pair 2logMAR S940.06 ± 0.1-0.013-0.0400.0130.326
    logMAR AP940.08 ± 0.1
    Pair 3logMAR S1940.11 ± 0.2-0.004-0.0210.0130.634
    logMAR N1940.12 ± 0.2
    Pair 4logMAR AC940.09 ± 0.20.014-0.0070.0340.184
    logMAR AP940.08 ± 0.1
    Pair 5logMAR AC1940.13 ± 0.20.0180.0020.0340.024*
    logMAR N1940.12 ± 0.2
    Pair 6logMAR AP900.08 ± 0.10.004-0.0260.0350.776
    logMAR N900.08 ± 0.1
    • ↵* Significant using paired samples test at <0.05 level. CI: confidence interval, VA: visual acuity, n: number

    • View popup
    Table 2

    - Sensitivity and specificity of “Smart Optometry” application (clinician-performed) in detecting subnormal vision in 100 patients.

     Subnormal vision in the conventional   
    VariablesYesNoTotalPredictive valueP-value
    Subnormal vision in the application     
    Yes252247PPV (95% CI) 53.2%<0.001*
    No35053NPV (95% CI) 94.3%
    Total2872100  
    PropertiesSensitivity (95% CI)
    89.3%
    Specificity (95% CI)
    69.4%
       
    • ↵* Significant using Chi-square test at <0.05 level. PPV: positive predictive value, NPV: negative predictive value

    • View popup
    Table 3

    - Sensitivity and specificity of “Smart Optometry” application (clinician-performed) in detecting amblyopia.

     Amblyopia by conventional test  P-value
    VariablesYesNoTotalPredictive value
    Amblyopia by application     
    Yes71578PPV
    (95% CI) 31.8%
    0.001*
    No57322NPV
    (95% CI) 93.6%
    Total1288100  
    PropertiesSensitivity
    (95% CI) 58.3%
    Specificity
    (95% CI) 83.0%
       
    • ↵* Significant using Chi-square test at <0.05 level. PPV: positive predictive value, NPV: negative predictive value, CI: confidence interval

PreviousNext
Back to top

In this issue

Saudi Medical Journal: 43 (8)
Saudi Medical Journal
Vol. 43, Issue 8
1 Aug 2022
  • Table of Contents
  • Cover (PDF)
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Saudi Medical Journal.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
“Smart Optometry” phone-based application as a visual acuity testing tool among pediatric population
(Your Name) has sent you a message from Saudi Medical Journal
(Your Name) thought you would like to see the Saudi Medical Journal web site.
Citation Tools
“Smart Optometry” phone-based application as a visual acuity testing tool among pediatric population
Lina H. Raffa, Nasser T. Balbaid, Mariam M. Ageel
Saudi Medical Journal Aug 2022, 43 (8) 946-953; DOI: 10.15537/smj.2022.43.8.20220374

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
“Smart Optometry” phone-based application as a visual acuity testing tool among pediatric population
Lina H. Raffa, Nasser T. Balbaid, Mariam M. Ageel
Saudi Medical Journal Aug 2022, 43 (8) 946-953; DOI: 10.15537/smj.2022.43.8.20220374
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Acknowledgment
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Assessment of asthma control levels in a tertiary hospital
  • The risk factors for cardiovascular disease and chronic kidney disease in patients with nonalcoholic fatty liver disease in Saudi Arabia
  • Prolonged flight exposure and its effects on sinonasal health among aircrew members
Show more Original Article

Similar Articles

Keywords

  • amblyopia
  • screening
  • smartphone
  • telemedicine
  • visual acuity

CONTENT

  • home

JOURNAL

  • home

AUTHORS

  • home
Saudi Medical Journal

© 2025 Saudi Medical Journal Saudi Medical Journal is copyright under the Berne Convention and the International Copyright Convention.  Saudi Medical Journal is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. Electronic ISSN 1658-3175. Print ISSN 0379-5284.

Powered by HighWire