Abstract
Purpose
To propose a new test to identify color vision deficiency malingering.
Methods
An online survey was distributed to 130 truly color vision deficient participants and 160 participants willing to simulate color vision deficiency. The survey contained three sets of six color-adjusted versions of the standard Ishihara color plates each, as well as one set of six control plates. The plates that best discriminated both participant groups were selected for a “balanced” test emphasizing both sensitivity and specificity. A “specific” test that prioritized high specificity was also created by selecting from these plates. Statistical measures of the test (sensitivity, specificity, and Youden index) were assessed at each possible cut-off threshold, and a receiver operating characteristic (ROC) function with its area under the curve (AUC) charted.
Results
The redshift plate set was identified as having the highest difference of means between groups (−58%, CI: −64 to −52%), as well as the widest gap between group modes. Statistical measures of the “balanced” test show an optimal cut-off of at least two incorrectly identified plates to suggest malingering (Youden index: 0.773, sensitivity: 83.3%, specificity: 94.0%, AUC of ROC 0.918). The “specific” test was able to identify color vision deficiency simulators with a specificity of 100% when using a cut-off of at least two incorrectly identified plates (Youden index 0.599, sensitivity 59.9%, specificity 100%, AUC of ROC 0.881).
Conclusions
Our proposed test for identifying color vision deficiency malingering demonstrates a high degree of reliability with AUCs of 0.918 and 0.881 for the “balanced” and “specific” tests, respectively. A cut-off threshold of at least two missed plates on the “specific” test was able to identify color vision deficiency simulators with 100% specificity.
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References
Incesu AI (2013) Tests for malingering in ophthalmology. Int J Ophthalmol 6(5):708–717
Kramer KK, La Piana FG, Appleton B (1979) Ocular malingering and hysteria: diagnosis and management. Surv Ophthalmol 24(2):89–96
Fahle M, Mohn G (1989) Assessment of visual function in suspected ocular malingering. Br J Ophthalmol 73(8):651–654
Graf MH, Roesen J (2002) Ocular malingering: a surprising visual acuity test. Arch Ophthalmol 120(6):756–760
Hesterberg RC, Tredici TJ (1983) A review of ocular malingering and hysteria for the flight surgeon. Aviat Space Environ Med 54(10):934–936
Nakamura A, Akio T, Matsuda E, Wakami Y (2001) Pattern visual evoked potentials in malingering. J Neuroophthalmol 21(1):42–45
Schutz JS, Mavrakanas NA (2009) The value of the ophthalmological independent medical examination: analysis of 344 cases. Br J Ophthalmol 93(10):1371–1375
Jägle H, Sadowski B, Kremers J, Scholl HP, Leo-Kottler B, Sharpe LT (2003) Detecting color vision in a malingerer. Doc Ophthalmol 106(2):121–128
Foote KG, Neitz M, Neitz J (2014) Comparison of the Richmond HRR 4th edition and Farnsworth-Munsell 100 Hue test for quantitative assessment of tritan color deficiencies. J Opt Soc Am A Opt Image Sci Vis 31(4):A186–A188
Zhao J, Dave SB, Wang J, Subramanian PS (2015) Clinical color vision testing and correlation with visual function. Am J Ophthalmol 160(3):547–552
Hajian-Tilaki K (2013) Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J Intern Med 4(2):627–635
Schisterman EF, Perkins NJ, Liu A, Bondell H (2005) Optimal cut-point and its corresponding Youden index to discriminate individuals using pooled blood samples. Epidemiology 16(1):73–81
Akobeng AK (2007) Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr 96(5):644–647
Hoffman A, Menozzi M (1998) Applying the Ishihara test to a PC-based screening system. Displays 20:39–47
Seshadri J, Christensen J, Lakshminarayanan V, Bassi CJ (2005) Evaluation of the new web-based “colour assessment and diagnosis” test. Optom Vis Sci 82(10):882–885
Bimler DL, Paramei GV (2005) Bezold-Brücke effect in normal trichromats and protanopes. J Opt Soc Am A Opt Image Sci Vis 22(10):2120–2136
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Pouw, A., Karanjia, R. & Sadun, A. A method for identifying color vision deficiency malingering. Graefes Arch Clin Exp Ophthalmol 255, 613–618 (2017). https://doi.org/10.1007/s00417-016-3570-0
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DOI: https://doi.org/10.1007/s00417-016-3570-0