Skip to main content
Log in

A method for identifying color vision deficiency malingering

  • Neurophthalmology
  • Published:
Graefe's Archive for Clinical and Experimental Ophthalmology Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Incesu AI (2013) Tests for malingering in ophthalmology. Int J Ophthalmol 6(5):708–717

    PubMed  PubMed Central  Google Scholar 

  2. Kramer KK, La Piana FG, Appleton B (1979) Ocular malingering and hysteria: diagnosis and management. Surv Ophthalmol 24(2):89–96

    Article  CAS  PubMed  Google Scholar 

  3. Fahle M, Mohn G (1989) Assessment of visual function in suspected ocular malingering. Br J Ophthalmol 73(8):651–654

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Graf MH, Roesen J (2002) Ocular malingering: a surprising visual acuity test. Arch Ophthalmol 120(6):756–760

    Article  PubMed  Google Scholar 

  5. Hesterberg RC, Tredici TJ (1983) A review of ocular malingering and hysteria for the flight surgeon. Aviat Space Environ Med 54(10):934–936

    PubMed  Google Scholar 

  6. Nakamura A, Akio T, Matsuda E, Wakami Y (2001) Pattern visual evoked potentials in malingering. J Neuroophthalmol 21(1):42–45

    Article  CAS  PubMed  Google Scholar 

  7. Schutz JS, Mavrakanas NA (2009) The value of the ophthalmological independent medical examination: analysis of 344 cases. Br J Ophthalmol 93(10):1371–1375

    Article  CAS  PubMed  Google Scholar 

  8. 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

    Article  PubMed  Google Scholar 

  9. 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

    Article  PubMed  PubMed Central  Google Scholar 

  10. 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

    Article  PubMed  Google Scholar 

  11. Hajian-Tilaki K (2013) Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J Intern Med 4(2):627–635

    PubMed  PubMed Central  Google Scholar 

  12. 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

    Article  PubMed  Google Scholar 

  13. Akobeng AK (2007) Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr 96(5):644–647

    Article  PubMed  Google Scholar 

  14. Hoffman A, Menozzi M (1998) Applying the Ishihara test to a PC-based screening system. Displays 20:39–47

    Article  Google Scholar 

  15. 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

    Article  PubMed  Google Scholar 

  16. 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

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew Pouw.

Ethics declarations

Funding

No funding was received for this research.

Conflict of interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Ethical approval

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.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00417-016-3570-0

Keywords

Navigation