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Quantifying diplopia with a questionnaire.

Jonathan M Holmes1, Laura Liebermann, Sarah R Hatt

  • 1Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota 55905, USA. holmes.jonathan@mayo.edu

Ophthalmology
|March 28, 2013
PubMed
Summary
This summary is machine-generated.

A new diplopia questionnaire (DQ) with a data-driven algorithm effectively rates vision problems. This tool shows excellent reliability and responsiveness, making it valuable for clinical and research use in assessing diplopia.

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Area of Science:

  • Ophthalmology
  • Vision Science

Background:

  • Diplopia, or double vision, significantly impacts quality of life.
  • Existing questionnaires for diplopia may lack robust, data-driven scoring mechanisms.
  • The Adult Strabismus-20 (AS-20) is a validated measure of health-related quality of life in strabismus.

Purpose of the Study:

  • To develop and validate a diplopia questionnaire (DQ) with an optimized, data-driven scoring algorithm.
  • To establish the test-retest reliability and responsiveness of the DQ.
  • To correlate DQ scores with a gold-standard measure of quality of life in diplopia.

Main Methods:

  • A cross-sectional study involving 147 adults with diplopic strabismus.
  • Developed 382,848 unique scoring algorithms for the 10-item DQ.
  • Compared DQ algorithms against the AS-20 function subscale using Spearman rank correlation.
  • Assessed test-retest reliability using intraclass correlation coefficient (ICC) and limits of agreement.
  • Evaluated responsiveness to surgical intervention by measuring change in DQ scores.

Main Results:

  • The optimal DQ scoring algorithm demonstrated strong correlation (r=-0.64) with the AS-20 function subscale.
  • The best algorithm weighted responses like 'often' highly and prioritized distance and reading gaze positions.
  • Excellent test-retest reliability was confirmed with an ICC of 0.89.
  • The DQ showed significant responsiveness to surgical outcomes, with a mean change of 51 points (P<0.001).

Conclusions:

  • A data-driven scoring algorithm for the DQ (0-100 scale) has been successfully developed.
  • The DQ demonstrates excellent test-retest reliability and responsiveness to treatment.
  • The optimized DQ is a potentially valuable tool for clinical practice and research in managing diplopia.