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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.
  • Wittenborn J; Public Health Analytics, National Opinion Research Center at the University of Chicago, Chicago, IL, United States.
  • Lee A; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Lundeen EA; Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Lamuda P; Public Health Analytics, National Opinion Research Center at the University of Chicago, Chicago, IL, United States.
  • Saaddine J; Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Su GL; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Lu R; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Damani A; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Zawadzki JS; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Froines CP; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Shen JZ; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Kung TH; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Yanagihara RT; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Maring M; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Takahashi MM; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Blazes M; Department of Ophthalmology, University of Washington, Seattle, WA, United States.
  • Rein DB; Public Health Analytics, National Opinion Research Center at the University of Chicago, Chicago, IL, United States.
JMIR Public Health Surveill ; 9: e44552, 2023 03 07.
Article en En | MEDLINE | ID: mdl-36881468

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Teléfono / Ceguera Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Teléfono / Ceguera Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article