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Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study

BACKGROUND: Self-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 g...

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Autores principales: Wittenborn, John, Lee, Aaron, Lundeen, Elizabeth A, Lamuda, Phoebe, Saaddine, Jinan, Su, Grace L, Lu, Randy, Damani, Aashka, Zawadzki, Jonathan S, Froines, Colin P, Shen, Jolie Z, Kung, Timothy-Paul H, Yanagihara, Ryan T, Maring, Morgan, Takahashi, Melissa M, Blazes, Marian, Rein, David B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031446/
https://www.ncbi.nlm.nih.gov/pubmed/36881468
http://dx.doi.org/10.2196/44552
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author Wittenborn, John
Lee, Aaron
Lundeen, Elizabeth A
Lamuda, Phoebe
Saaddine, Jinan
Su, Grace L
Lu, Randy
Damani, Aashka
Zawadzki, Jonathan S
Froines, Colin P
Shen, Jolie Z
Kung, Timothy-Paul H
Yanagihara, Ryan T
Maring, Morgan
Takahashi, Melissa M
Blazes, Marian
Rein, David B
author_facet Wittenborn, John
Lee, Aaron
Lundeen, Elizabeth A
Lamuda, Phoebe
Saaddine, Jinan
Su, Grace L
Lu, Randy
Damani, Aashka
Zawadzki, Jonathan S
Froines, Colin P
Shen, Jolie Z
Kung, Timothy-Paul H
Yanagihara, Ryan T
Maring, Morgan
Takahashi, Melissa M
Blazes, Marian
Rein, David B
author_sort Wittenborn, John
collection PubMed
description BACKGROUND: Self-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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: The 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 <20/40) was achieved by responses of “fair,” “poor,” or “very poor” to the question, “At the present time, would you say your eyesight, with glasses or contact lenses if you wear them, is excellent, good, fair, poor, or very poor” (AUC=0.716). At the population level, the relative relationship between prevalence based on survey questions and BCVA remained stable for most demographic groups, with the only exceptions being groups with small sample sizes, and these differences were generally not significant. CONCLUSIONS: Although survey questions are not considered to be sufficiently accurate to be used as a diagnostic test at the individual level, we did find relatively high levels of accuracy for some questions. At the population level, we found that the relative prevalence of the 2 most accurate survey questions were highly correlated with the prevalence of measured visual acuity loss among nearly all demographic groups. The results of this study suggest that self-reported vision questions fielded in national surveys are likely to yield an accurate and stable signal of vision loss across different population groups, although the actual measure of prevalence from these questions is not directly analogous to that of BCVA.
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spelling pubmed-100314462023-03-23 Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study Wittenborn, John Lee, Aaron Lundeen, Elizabeth A Lamuda, Phoebe Saaddine, Jinan Su, Grace L Lu, Randy Damani, Aashka Zawadzki, Jonathan S Froines, Colin P Shen, Jolie Z Kung, Timothy-Paul H Yanagihara, Ryan T Maring, Morgan Takahashi, Melissa M Blazes, Marian Rein, David B JMIR Public Health Surveill Original Paper BACKGROUND: Self-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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: The 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 <20/40) was achieved by responses of “fair,” “poor,” or “very poor” to the question, “At the present time, would you say your eyesight, with glasses or contact lenses if you wear them, is excellent, good, fair, poor, or very poor” (AUC=0.716). At the population level, the relative relationship between prevalence based on survey questions and BCVA remained stable for most demographic groups, with the only exceptions being groups with small sample sizes, and these differences were generally not significant. CONCLUSIONS: Although survey questions are not considered to be sufficiently accurate to be used as a diagnostic test at the individual level, we did find relatively high levels of accuracy for some questions. At the population level, we found that the relative prevalence of the 2 most accurate survey questions were highly correlated with the prevalence of measured visual acuity loss among nearly all demographic groups. The results of this study suggest that self-reported vision questions fielded in national surveys are likely to yield an accurate and stable signal of vision loss across different population groups, although the actual measure of prevalence from these questions is not directly analogous to that of BCVA. JMIR Publications 2023-03-07 /pmc/articles/PMC10031446/ /pubmed/36881468 http://dx.doi.org/10.2196/44552 Text en ©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. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 07.03.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Wittenborn, John
Lee, Aaron
Lundeen, Elizabeth A
Lamuda, Phoebe
Saaddine, Jinan
Su, Grace L
Lu, Randy
Damani, Aashka
Zawadzki, Jonathan S
Froines, Colin P
Shen, Jolie Z
Kung, Timothy-Paul H
Yanagihara, Ryan T
Maring, Morgan
Takahashi, Melissa M
Blazes, Marian
Rein, David B
Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title_full Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title_fullStr Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title_full_unstemmed Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title_short Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study
title_sort comparing telephone survey responses to best-corrected visual acuity to estimate the accuracy of identifying vision loss: validation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031446/
https://www.ncbi.nlm.nih.gov/pubmed/36881468
http://dx.doi.org/10.2196/44552
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