Disparities in Eye Care Utilization Among the United States Adults With Visual Impairment: Findings From the Behavioral Risk Factor Surveillance System 2006-2009

American Journal of Ophthalmology (Impact Factor: 3.87). 12/2012; 154(6):S45-S52.e1. DOI: 10.1016/j.ajo.2011.09.025


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.DesignCross-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).ResultsThe 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.

6 Reads
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Poor vision is associated with lower socioeconomic status, but less is known about its relationship to area deprivation. The European Prospective Investigation into Cancer and Nutrition study Norfolk Eye Study was a cross-sectional study of 8563 participants with completed eye examinations. Logarithm of the minimum angle of resolution (logMAR) visual acuity (VA) was measured using standard protocols and low vision (LV) was defined as Snellen equivalent (VA) ≤6/12 in the better eye. Uncorrected refractive error (URE) was defined as improvement of VA by 2 logarithm of the minimum angle of resolution lines with pinhole. The lowest 5% of index of multiple deprivation rank was used to define the most deprived areas. The index of multiple deprivation is a composite measure using routine data from seven domains of deprivation to identify the most disadvantaged areas in England. Logistic regression was used to examine univariable and multivariable associations with LV. Ninety-six participants with missing data were excluded, leaving 8467 for analysis (98.9%). The mean age of the study group was 68.7 years (SD=8.1, range=48-92), with 55.1% women. LV was present in 263 participants (3.1%, 95% CI 2.7 to 3.5%). LV was associated with deprivation after adjusting for age, sex, education, social class and cataract surgery (OR=1.7, 95% CI 1.1 to 2.6, p=0.03), but this effect was mitigated by additionally adjusting for URE (OR=1.5, 95% CI 1.0 to 2.4, p=0.09). People with LV are more likely to live in the most deprived areas; this association was independent of socioeconomic status and partly mediated by URE. Targeting URE in deprived areas may reduce health inequalities associated with LV.
    Journal of epidemiology and community health 10/2013; 68(3). DOI:10.1136/jech-2013-203265 · 3.50 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Purpose: To examine the association between health-related quality of life (HRQoL) and visual impairment among people aged ≥65 years. Methods: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six HRQoL measures: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, and moderate/severe. We examined the association between self-reported visual impairment and HRQoL using logistic regression accounting for the survey's complex design. Results: People with self-reported moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days compared to those reporting a little or no visual impairment. After controlling for all covariates (age, sex, marital status, race/ethnicity, education, income, diabetes, heart disease, stroke, heart attack, body mass index, leisure time activity, smoking, and medical care cost concerns) and comparing to those with no self-reported visual impairment, people reporting a little visual impairment were more likely to have fair/poor health (odds ratio, OR, 1.2, 95% confidence interval, CI, 1.1-1.3), life dissatisfaction (OR 1.6, 95% CI 1.3-2.0), and disability (OR 1.5, 95% CI 1.3-1.6), and those with self-reported moderate/severe visual impairment had more fair/poor health (OR 1.8, 95% CI 1.6-2.0), life dissatisfaction (OR 2.3, 95% CI 1.8-2.9), and disability (OR 2.0, 95% CI 1.8-2.2). They also had more frequent physically unhealthy days (OR 1.9, 95% CI 1.7-2.1), mentally unhealthy days (OR 1.8, 95% CI 1.5-2.1), and activity limitations days (OR 1.9, 95% CI 1.6-2.2). Conclusion: Poor HRQoL is strongly associated with the severity of self-reported visual impairment among people aged ≥65 years.
    Ophthalmic Epidemiology 06/2014; 21(5):1-10. DOI:10.3109/09286586.2014.926556 · 1.15 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: According to evidence-based, expert recommendations, long-term users of chloroquine or hydroxychloroquine sulfate should undergo regular visits to eye care providers and diagnostic testing to check for maculopathy.
    Jama Ophthalmology 06/2014; 132(10). DOI:10.1001/jamaophthalmol.2014.1720 · 3.32 Impact Factor
Show more

Similar Publications