Abstract
Purpose: Preference-based health measures value how people feel about the desirability of a health state. Generic measures may not effectively capture the impact of vision loss from ocular diseases. Disease-targeted measures could address this limitation. This study developed a visiontargeted health state classification system based on the National Eye Institute Visual Function Questionnaire-25 (NEI VFQ-25). Methods: Secondary analysis of NEI VFQ-25 data from studies of patients with central (n = 932)- and peripheralvision loss (n = 2,451) were used to develop a health state classification system. Classical test theory and Rasch analyses were used to identify a smaller set of NEI VFQ-25 items suitable for the central- and peripheral-vision-loss groups. Results: Rasch analysis of the NEI VFQ-25 items using the peripheral vision-loss data indicated that 11 items fit a unidimensional model, while 14 NEI VFQ-25 items fit using the central-vision-loss data. Combining peripheralvision-loss data and central-vision-loss data resulted in 9 items fitting a unidimensional model. Six items covering near vision, distance vision, social vision, role difficulties, vision dependency, and vision-related mental health were selected for the health-state classification. Conclusions The derived health-state classification system covers relevant domains of vision-related functioning and well-being. Accepted: 19 May 2011/Published online: 4 August 2011
Original language | English (US) |
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Pages (from-to) | 323-334 |
Number of pages | 12 |
Journal | Quality of Life Research |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2012 |
Keywords
- Central vision loss
- Health preferences and utilities
- Health-related quality of life
- Peripheral vision loss
- Vision-related functioning and well-being
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health