Last data update: May 13, 2024. (Total: 46773 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Elliott AF[original query] |
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Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States
Elliott AF , Davidson A , Lum F , Chiang MF , Saaddine JB , Zhang X , Crews JE , Chou CF . Am J Ophthalmol 2012 154 S63-70 PURPOSE: To discuss the current trend toward greater use of electronic health records and how these records could enhance public health surveillance of eye health and vision-related conditions. DESIGN: Perspective, comparing systems. METHODS: We describe 3 currently available sources of electronic health data (Kaiser Permanente, the Veterans Health Administration, and the Centers for Medicare & Medicaid Services) and how these sources can contribute to a comprehensive vision and eye health surveillance system. RESULTS: Each of the 3 sources of electronic health data can contribute meaningfully to a comprehensive vision and eye health surveillance system, but none currently provide all the information required. The use of electronic health records for vision and eye health surveillance has both advantages and disadvantages. CONCLUSIONS: Electronic health records may provide additional information needed to create a comprehensive vision and eye health surveillance system. Recommendations for incorporating electronic health records into such a system are presented. |
The variability of vision loss assessment in federally sponsored surveys: seeking conceptual clarity and comparability
Crews JE , Lollar DJ , Kemper AR , Lee LM , Owsley C , Zhang X , Elliott AF , Chou CF , Saaddine JB . Am J Ophthalmol 2012 154 S31-S44 e1 PURPOSE: To review U.S. national population-based surveys to evaluate comparability and conceptual clarity of vision measures. DESIGN: Perspective. METHODS: The vision questions in 12 surveys were mapped to the World Health Organization's International Classification of Functioning, Disability and Health framework under the domains of condition, impairment, activity limitation, participation, and environment. Surveys examined include the National Health Interview Survey, the Behavioral Risk Factor Surveillance Survey, National Health and Nutrition Examination Survey, the Census, and the Visual Function Questionnaire. RESULTS: Nearly 100 vision measures were identified in 12 surveys. These surveys provided no consistent measure of vision or vision impairment. Survey questions asked about differing characteristics of vision-related disease, function, and social roles. A question related to ability to read newspaper print was the most commonly asked question in surveys. CONCLUSIONS: Limited comparability of data and lack of conceptual clarity in the population-based surveys resulted in an inability to consistently characterize the population of people experiencing vision impairment. Consequently, vision surveillance was limited. |
Vision health disparities in the United States by race/ethnicity, education, and economic status: findings from two nationally representative surveys
Zhang X , Cotch MF , Ryskulova A , Primo SA , Nair P , Chou CF , Geiss LS , Barker LE , Elliott AF , Crews JE , Saaddine JB . Am J Ophthalmol 2012 154 S53-S62 e1 PURPOSE: To assess vision health disparities in the United States by race/ethnicity, education, and economic status. DESIGN: Cross-sectional, nationally representative samples. METHODS: We used national survey data from the National Health and Nutrition Examination Survey (NHANES) and the National Health Interview Survey (NHIS). Main outcome measures included, from NHANES, age-related eye diseases (ie, age-related macular degeneration [AMD], cataract, diabetic retinopathy [DR], glaucoma) and from NHIS, eye care use (ie, eye doctor visits and cannot afford eyeglasses when needed) among those with self-reported visual impairment. The estimates were age- and sex-standardized to the 2000 US Census population. Linear trends in the estimates were assessed by weighted least squares regression. RESULTS: Non-Hispanic whites had a higher prevalence of AMD and cataract surgery than non-Hispanic blacks, but a lower prevalence of DR and glaucoma (all P < .001 in NHANES 2005-2008). From 1999 to 2008, individuals with less education (ie, <high school vs >high school) and lower income (poverty income ratio [PIR] <1.00 vs ≥4.00) were consistently less likely to have had an eye care visit in the past 12 months compared with their counterparts (all P < .05). During this period, inability to afford needed eyeglasses increased among non-Hispanic whites and Hispanics (trend P = .004 and P = .007; respectively), those with high school education (trend P = .036), and those with PIR 1.00-1.99 (trend P < .001). CONCLUSIONS: Observed vision health disparities suggest a need for educational and innovative interventions among socioeconomically disadvantaged groups. |
Disparities in eye care utilization among the United States adults with visual impairment: findings from the Behavioral Risk Factor Surveillance System 2006-2009
Chou CF , Barker LE , Crews JE , Primo SA , Zhang X , Elliott AF , Bullard KM , Geiss LS , Saaddine JB . Am J Ophthalmol 2012 154 S45-S52 e1 PURPOSE: To estimate the prevalence of annual eye care among visually impaired United States residents aged 40 years or older, by state, race/ethnicity, education, and annual income. DESIGN: Cross-sectional study. METHODS: In analyses of 2006-2009 Behavioral Risk Factor Surveillance System data from 21 states, we used multivariate regression to estimate the state-level prevalence of yearly eye doctor visit in the study population by race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, and other), annual income (≥$35,000 and <$35,000), and education (< high school, high school, and > high school). RESULTS: The age-adjusted state-level prevalence of yearly eye doctor visits ranged from 48% (Missouri) to 69% (Maryland). In Alabama, Colorado, Indiana, Iowa, New Mexico, and North Carolina, the prevalence was significantly higher among respondents with more than a high school education than among those with a high school education or less (P < .05). The prevalence was positively associated with annual income levels in Alabama, Georgia, New Mexico, New York, Texas, and West Virginia and negatively associated with annual income levels in Massachusetts. After controlling for age, sex, race/ethnicity, education, and income, we also found significant disparities in the prevalence of yearly eye doctor visits among states. CONCLUSION: Among visually impaired US residents aged 40 or older, the prevalence of yearly eye examinations varied significantly by race/ethnicity, income, and education, both overall and within states. Continued and possibly enhanced collection of eye care utilization data, such as we analyzed here, may help states address disparities in vision health and identify population groups most in need of intervention programs. |
Visual impairment and health-related quality of life among elderly adults with age-related eye diseases
Li Y , Crews JE , Elam-Evans LD , Fan AZ , Zhang X , Elliott AF , Balluz L . Qual Life Res 2010 20 (6) 845-52 PURPOSE: To examine the association between age-related eye disease (ARED), visual impairment, and health-related quality of life (HRQOL). METHODS: We used data from the 2006 and 2008 Behavioral Risk Factor Surveillance System to examine self-reported visual impairment and two HRQOL domains-physical impairment (including poor general health, physical unhealthy days, activity-limitation days, and disability) and mental distress (including mental unhealthy days, life dissatisfaction, major depression, lifetime depression, and anxiety) for people aged 65 years or older, by ARED status. RESULTS: People with any ARED were more likely than those without to report visual impairment as well as physical impairment and mental distress. The prevalence of visual impairment (P trend <0.001) and physical impairment (P trend <0.001) increased with increasing number of eye diseases after controlling for all covariates. There was no significant linear trend, however, in mental distress among people with one or more eye diseases. CONCLUSION: ARED was found to be associated with visual impairment and poorer HRQOL. Increasing numbers of AREDs were associated with increased levels of visual impairment and physical impairment, but were not associated with levels of mental distress. |
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