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One or many? Are there benefits for using test batteries for the classification of congenital colour vision deficiencies?
Author(s) -
Jordan Gabriele
Publication year - 2019
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.2019.8260
Subject(s) - false positive paradox , reliability (semiconductor) , test (biology) , gold standard (test) , medical diagnosis , consistency (knowledge bases) , colour vision , computer science , medicine , quality (philosophy) , reliability engineering , optometry , artificial intelligence , engineering , pathology , quantum mechanics , paleontology , biology , power (physics) , philosophy , physics , epistemology
For reasons of safety or quality control many professions require their potential employees to have normal colour‐vision. A variety of screening tests for colour‐vision deficiencies (CVD) exist, but there is a clear trade‐off between reliability of diagnoses and practical efficiency. For example, the Ishihara Plates are praised for their high sensitivity, speed and ease of use and are the most common primary test in occupational settings. However, the test does not reliably classify type or severity of known CVDs, different versions may give slightly different results, and false positives are common. On the other hand, the gold standard for characterising CVD is the anomaloscope, where an individual’s Rayleigh match provides an index of the relative spectral sensitivities of the L and M cones and gives a definitive classification of CVD type and severity. However, the instrument is expensive, needs a highly experienced examiner and often requires extended testing time. More recent, sophisticated tests such as the ‘Cambridge Colour Test’ and the ‘Colour Assessment and Diagnosis’ test’ show good selectivity and specificity, but are expensive and therefore not widely used by many employers. Given the variety of choice in standardised tests available to recruiters, the presentation will consider the reliability and consistency in the classifications of CVD for a battery of potential tests.