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Related Experiment Video

Updated: May 20, 2026

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Estimating quality-adjusted life years from patient-reported visual functioning.

C Browne1, J Brazier, J Carlton

  • 1Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds LS2 9LJ, UK. c.browne@leeds.ac.uk

Eye (London, England)
|July 7, 2012
PubMed
Summary
This summary is machine-generated.

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This study developed algorithms to predict health utility values (EQ-5D, SF-6D) from the Visual Functioning Questionnaire (VFQ-25) and clinical vision tests for glaucoma patients.

Area of Science:

  • Ophthalmology
  • Health Economics
  • Psychometrics

Background:

  • Glaucoma significantly impacts patients' health-related quality of life (HRQoL).
  • Accurate assessment of HRQoL is crucial for understanding glaucoma's burden.
  • Vision-specific and clinical measures are key indicators of visual function.

Purpose of the Study:

  • To develop and evaluate mapping algorithms for predicting EQ-5D and SF-6D utility values.
  • To utilize the 25-item Visual Functioning Questionnaire (VFQ-25) and clinical visual function tests as predictors.
  • To establish a link between vision impairment and broader health utility measures.

Main Methods:

  • Comparison of Ordinary Least Squares (OLS), Tobit, and censored least absolute deviations models.
  • Utilized data from Moorfields Eye Hospital.

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Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients
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Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

Related Experiment Videos

Last Updated: May 20, 2026

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients
12:23

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

  • Model performance assessed using Root Mean Square Error (RMSE), R(2), and Mean Absolute Error (MAE).

    • Main Results:

    • Ordinary Least Squares (OLS) demonstrated superior performance among the compared models.
    • OLS yielded the lowest RMSE and MAE, indicating higher accuracy.
    • OLS achieved the highest R(2) value, signifying the best model fit.

    Conclusions:

    • Initial algorithms were established to convert VFQ-25 scores to EQ-5D and SF-6D utility values.
    • These algorithms provide a method for estimating health utility from vision-specific data.
    • Further validation studies are recommended to confirm the reliability of the developed algorithms.