Literature DB >> 10328388

Eye care utilization by older Americans: the SEE Project. Salisbury Eye Evaluation.

P Orr1, Y Barrón, O D Schein, G S Rubin, S K West.   

Abstract

OBJECTIVE: To determine eye care utilization patterns among older Americans, particularly characterizing those who sought different types of providers, and the predictive factors for seeking eye care services in general and among those with diabetes and those with visual loss. DESIGN AND PARTICIPANTS: The SEE Project, a population-based survey of 2520 persons aged 65 to 84 in Salisbury, Maryland, provided cross-sectional data on eye care use. Questions on eye care use, demographics, medical history, and other factors were asked on the home interview. MAIN OUTCOME MEASURES: Use of an eye care provider in the previous year, with additional outcomes of use of different types of eye care providers.
RESULTS: Blacks were significantly less likely to see any type of eye care provider over 1 year: 50% versus 69% among whites. Those who reported having a vision problem, those with more education, and those in the older age groups were significantly more likely to see either an ophthalmologist or an optometrist. Diabetes and driving a car were predictive factors for seeing an ophthalmologist but not for seeing an optometrist. Self-report of diabetes and eye care problems, and being a current driver, were predictive of seeing an eye care professional among those with visual impairment.
CONCLUSIONS: Although blacks are known to be at greater risk for several age-related eye diseases, they are much less likely to see an eye care provider. Interventions that remove barriers to eye care services should be considered.

Entities:  

Mesh:

Year:  1999        PMID: 10328388     DOI: 10.1016/s0161-6420(99)00508-4

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  46 in total

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3.  Near Vision Impairment and Frailty: Evidence of an Association.

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4.  Health-related quality of life among people aged ≥65 years with self-reported visual impairment: findings from the 2006-2010 behavioral risk factor surveillance system.

Authors:  John E Crews; Chiu-Fang Chou; Xinzhi Zhang; Matthew M Zack; Jinan B Saaddine
Journal:  Ophthalmic Epidemiol       Date:  2014-06-23       Impact factor: 1.648

5.  Diabetic Retinopathy: Focus on Minority Populations.

Authors:  Arpine Barsegian; Boleslav Kotlyar; Justin Lee; Moro O Salifu; Samy I McFarlane
Journal:  Int J Clin Endocrinol Metab       Date:  2017-11-11

6.  Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

Authors:  Omolola Ogunyemi; Dulcie Kermah
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

7.  Teleretinal screening for diabetic retinopathy in six Los Angeles urban safety-net clinics: final study results.

Authors:  Omolola Ogunyemi; Sheba George; Lauren Patty; Senait Teklehaimanot; Richard Baker
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

8.  Barriers to Receiving Follow-Up Eye Care and Detection of Non-Glaucomatous Ocular Pathology in the Philadelphia Glaucoma Detection and Treatment Project.

Authors:  Cindy X Zheng; Wanda D Hu; Judie Tran; Linda Siam; Giuliana G Berardi; Harjeet Sembhi; Lisa A Hark; L Jay Katz; Michael Waisbourd
Journal:  J Community Health       Date:  2016-04

9.  Teleretinal imaging to screen for diabetic retinopathy in the Veterans Health Administration.

Authors:  Anthony A Cavallerano; Paul R Conlin
Journal:  J Diabetes Sci Technol       Date:  2008-01

10.  Vision health disparities in the United States by race/ethnicity, education, and economic status: findings from two nationally representative surveys.

Authors:  Xinzhi Zhang; Mary Frances Cotch; Asel Ryskulova; Susan A Primo; Parvathy Nair; Chiu-Fang Chou; Linda S Geiss; Lawrence E Barker; Amanda F Elliott; John E Crews; Jinan B Saaddine
Journal:  Am J Ophthalmol       Date:  2012-12       Impact factor: 5.258

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