Literature DB >> 27026122

A Performance Comparison of Color Vision Tests for Military Screening.

David V Walsh1, James Robinson, Gina M Jurek, José E Capó-Aponte, Daniel W Riggs, Leonard A Temme.   

Abstract

BACKGROUND: Current color vision (CV) tests used for aviation screening in the U.S. Army only provide pass-fail results, and previous studies have shown variable sensitivity and specificity. The purpose of this study was to evaluate seven CV tests to determine an optimal CV test screener that potentially could be implemented by the U.S. Army.
METHODS: There were 133 subjects [65 Color Vision Deficits (CVD), 68 Color Vision Normal (CVN)] who performed all of the tests in one setting. CVD and CVN determination was initially assessed with the Oculus anomaloscope. Each test was administered monocularly and according to the test protocol. The main outcome measures were test sensitivity, specificity, and administration time (automated tests).
RESULTS: Three of the four Pseudoisochromatic Plate (PIP) tests had a sensitivity/specificity > 0.90 OD/OS, whereas the FALANT tests had a sensitivity/specificity > 0.80 OD/OS. The Cone Contrast Test (CCT) demonstrated sensitivity/specificity > 0.90 OD/OS, whereas the Color Assessment and Diagnosis (CAD) test demonstrated sensitivity/specificity > 0.85 OD/OS. Comparison with the anomaloscope ("gold standard") revealed no significant difference of sensitivity and specificity OD/OS with the CCT, Dvorine PIP, and PIPC tests. Finally, the CCT administration time was significantly faster than the CAD test. DISCUSSION: The current U.S. Army CV screening tests demonstrated good sensitivity and specificity, as did the automated tests. In addition, some current PIP tests (Dvorine, PIPC), and the CCT performed no worse statistically than the anomaloscope with regard to sensitivity/specificity. The CCT letter presentation is randomized and results would not be confounded by potential memorization, or fading, of book plates.

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Year:  2016        PMID: 27026122     DOI: 10.3357/AMHP.4391.2016

Source DB:  PubMed          Journal:  Aerosp Med Hum Perform        ISSN: 2375-6314            Impact factor:   1.053


  2 in total

1.  Brain-computer interface-based assessment of color vision.

Authors:  James J S Norton; Grace F DiRisio; Jonathan S Carp; Amanda E Norton; Nicholas S Kochan; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2021-11-26       Impact factor: 5.043

2.  Efficacy of red contact lens in improving color vision test performance based on Ishihara, Farnsworth D15, and Martin Lantern Test.

Authors:  Avadhesh Oli; D Joshi
Journal:  Med J Armed Forces India       Date:  2019-01-12
  2 in total

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