Assessment of Function Related to Vision (AFREV)

• Published in: Ophthalmic epidemiology 2006-02, Vol.13 (1), p.67-80
• Main Authors: Altangerel, Undraa, Spaeth, George L., Steinmann, William C.
• Format: Article
• Language: English
• Subjects: Activities of Daily Living; Adult; Aged; Aged, 80 and over; Contrast Sensitivity; Cross-Sectional Studies; Female; Follow-Up Studies; glaucoma; Glaucoma, Open-Angle - physiopathology; Glaucoma, Open-Angle - psychology; Humans; Male; Middle Aged; Quality of Life; Retrospective Studies; Surveys and Questionnaires; Vision, Ocular - physiology; Visual Acuity; visual function; Visual performance assessment
• ISSN: 0928-6586; 1744-5086
• DOI: 10.1080/09286580500428500

Objectives: To evaluate the relationship of a performance-based measure of visual functioning to clinical and subjective measures in glaucoma patients. Design: Cross-sectional survey of glaucoma patients. Participants: Forty-three patients with primary open-angle glaucoma. Methods: Patients were evaluated using a novel performance-based measure, the Assessment of Function Related to Vision (AFREV), standard clinical tests of visual function, and the National Eye Institute's Visual Functioning Questionnaire (NEI-VFQ-25), a self-reported quality of life measure. Correlations of the AFREV scores with visual field scores, monocular and binocular visual acuity, contrast sensitivity scores, and NEI-VFQ scores were calculated. Rasch analysis was used to estimate the visual ability required by each task of AFREV for a particular response (item measures) and to estimate the visual ability of each patient (person measures). Main Outcome Measures: AFREV and NEI-VFQ total scores. Results: The AFREV total scores were highly correlated with contrast sensitivity (r = 0.772), binocular visual acuity (r = −0.768), better-eye visual acuity (r = −0.737), worse-eye visual acuity (r = −0.675), and Estermann visual field efficiency scores (r = 0.606) as well as with NEI-VFQ scores (r = 0.70). The resulting index, constructed from 5 items of the AFREV, is unidimensional, thereby satisfying the primary assumption of the Rasch model. The Rasch person-item map demonstrates that the "putting stick into holes" and "reading small print" tests require the most visual ability. Conclusions: The AFREV performance-based measure, a new test of a spectrum of activities, correlates well with some standard measures of visual function and certain aspects of self-report assessments. AFREV appears to be a valid measure of performance ability that may provide information not obtainable from standard measures of visual function or subjective surveys.