Literature DB >> 25892043

A new computer-based pediatric vision-screening test.

Tomohiko Yamada1, Sarah R Hatt2, David A Leske2, Pamela S Moke3, Nick L Parrucci3, J Jeffrey Reese3, James B Ruben4, Jonathan M Holmes2.   

Abstract

BACKGROUND: We developed and validated the Jaeb Visual Acuity Screener (JVAS), a computerized visual acuity-based screening program for children that employs a rapid, age-specific, standardized algorithm for vision screening in the medical home that is available for download at no cost.
METHODS: A total of 175 children aged 3 to <8 (median, 6) years were screened with the JVAS before undergoing a complete eye examination (gold standard). The JVAS presented 2 large single surround optotypes (20/100 and 20/80) and then 5 optotypes at a predetermined, age-specific normal threshold. Failure on the gold standard examination was determined using recently published referral criteria and published visual acuity norms for age. We evaluated the sensitivity and specificity of the JVAS for detecting reduced visual acuity, amblyopia, and amblyopia risk factors. JVAS pass/fail paradigms evaluated were inability to identify 3 of 4, 3 of 5, and 4 of 5 age-appropriate optotype presentations.
RESULTS: Screening testability for the JVAS was high, at 100%. Sensitivity of the JVAS ranged from 88% to 91%, and specificity from 73% to 86%, with positive predictive value ranging from 66% to 79% and negative predictive value from 92% to 93% (ranges reflect different pass/fail paradigms).
CONCLUSIONS: The new JVAS provides an effective and practical method for screening 3- to 7-year-olds using any Windows-based computer. Providing the JVAS free-of-charge to pediatricians and school systems would standardize currently fragmented visual acuity-based screening practices.
Copyright © 2015 American Association for Pediatric Ophthalmology and Strabismus. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25892043      PMCID: PMC4537792          DOI: 10.1016/j.jaapos.2015.01.011

Source DB:  PubMed          Journal:  J AAPOS        ISSN: 1091-8531            Impact factor:   1.220


  18 in total

1.  Computerized method of visual acuity testing: adaptation of the amblyopia treatment study visual acuity testing protocol.

Authors:  P S Moke; A H Turpin; R W Beck; J M Holmes; M X Repka; E E Birch; R W Hertle; R T Kraker; J M Miller; C A Johnson
Journal:  Am J Ophthalmol       Date:  2001-12       Impact factor: 5.258

Review 2.  Screening for visual impairment in children ages 1-5 years: update for the USPSTF.

Authors:  Roger Chou; Tracy Dana; Christina Bougatsos
Journal:  Pediatrics       Date:  2011-01-31       Impact factor: 7.124

3.  Validation and cost-effectiveness of a home-based screening system for amblyopia.

Authors:  Weizhong Lan; Feng Zhao; Zhen Li; Junwen Zeng; Wenyan Liu; Jinhua Lu; Dehui Zheng; Lixia Lin; Jian Ge; Zhikuan Yang
Journal:  Ophthalmology       Date:  2012-02-23       Impact factor: 12.079

4.  Effect of age on response to amblyopia treatment in children.

Authors:  Jonathan M Holmes; Elizabeth L Lazar; B Michele Melia; William F Astle; Linda R Dagi; Sean P Donahue; Marcela G Frazier; Richard W Hertle; Michael X Repka; Graham E Quinn; Katherine K Weise
Journal:  Arch Ophthalmol       Date:  2011-07-11

5.  Atropine vs patching for treatment of moderate amblyopia: follow-up at 15 years of age of a randomized clinical trial.

Authors:  Michael X Repka; Raymond T Kraker; Jonathan M Holmes; Allison I Summers; Stephen R Glaser; Carmen N Barnhardt; David R Tien
Journal:  JAMA Ophthalmol       Date:  2014-07       Impact factor: 7.389

Review 6.  Amblyopia characterization, treatment, and prophylaxis.

Authors:  Kurt Simons
Journal:  Surv Ophthalmol       Date:  2005 Mar-Apr       Impact factor: 6.048

7.  Instrument-based pediatric vision screening policy statement.

Authors:  Joseph M Miller; Herschel R Lessin
Journal:  Pediatrics       Date:  2012-10-29       Impact factor: 7.124

8.  A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol.

Authors:  Roy W Beck; Pamela S Moke; Andrew H Turpin; Frederick L Ferris; John Paul SanGiovanni; Chris A Johnson; Eileen E Birch; Danielle L Chandler; Terry A Cox; R Clifford Blair; Raymond T Kraker
Journal:  Am J Ophthalmol       Date:  2003-02       Impact factor: 5.258

9.  Guidelines for automated preschool vision screening: a 10-year, evidence-based update.

Authors:  Sean P Donahue; Brian Arthur; Daniel E Neely; Robert W Arnold; David Silbert; James B Ruben
Journal:  J AAPOS       Date:  2013-01-27       Impact factor: 1.220

10.  Preschool vision screening in primary care pediatric practice.

Authors:  Robert W Hered; David L Wood
Journal:  Public Health Rep       Date:  2013 May-Jun       Impact factor: 2.792

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  3 in total

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Journal:  Int J Ophthalmol       Date:  2020-02-18       Impact factor: 1.779

2.  Impact of Children's Postural Variation on Viewing Distance and Estimated Visual Acuity.

Authors:  Lisa M Hamm; Kishan Mistry; Joanna M Black; Cameron C Grant; Steven C Dakin
Journal:  Transl Vis Sci Technol       Date:  2019-01-30       Impact factor: 3.283

3.  Evaluation of vision screening of 5-15-year-old children in three Tongan schools: comparison of The Auckland Optotypes and Lea symbols.

Authors:  Lisa M Hamm; Fiona Langridge; Joanna M Black; Nicola S Anstice; Mele Vuki; Toakase Fakakovikaetau; Cameron C Grant; Steven C Dakin
Journal:  Clin Exp Optom       Date:  2019-09-05       Impact factor: 2.742

  3 in total

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