| Autor: |
John Wittenborn, Aaron Lee, Elizabeth A Lundeen, Phoebe Lamuda, Jinan Saaddine, Grace L Su, Randy Lu, Aashka Damani, Jonathan S Zawadzki, Colin P Froines, Jolie Z Shen, Timothy-Paul H Kung, Ryan T Yanagihara, Morgan Maring, Melissa M Takahashi, Marian Blazes, David B Rein |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
JMIR Public Health and Surveillance, Vol 9, p e44552 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2369-2960 |
| DOI: |
10.2196/44552 |
| Popis: |
BackgroundSelf-reported questions on blindness and vision problems are collected in many national surveys. Recently released surveillance estimates on the prevalence of vision loss used self-reported data to predict variation in the prevalence of objectively measured acuity loss among population groups for whom examination data are not available. However, the validity of self-reported measures to predict prevalence and disparities in visual acuity has not been established. ObjectiveThis study aimed to estimate the diagnostic accuracy of self-reported vision loss measures compared to best-corrected visual acuity (BCVA), inform the design and selection of questions for future data collection, and identify the concordance between self-reported vision and measured acuity at the population level to support ongoing surveillance efforts. MethodsWe calculated accuracy and correlation between self-reported visual function versus BCVA at the individual and population level among patients from the University of Washington ophthalmology or optometry clinics with a prior eye examination, randomly oversampled for visual acuity loss or diagnosed eye diseases. Self-reported visual function was collected via telephone survey. BCVA was determined based on retrospective chart review. Diagnostic accuracy of questions at the person level was measured based on the area under the receiver operator curve (AUC), whereas population-level accuracy was determined based on correlation. ResultsThe survey question, “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” had the highest accuracy for identifying patients with blindness (BCVA ≤20/200; AUC=0.797). The highest accuracy for detecting any vision loss (BCVA |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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