PURPOSE: To examine self-reported oral health among adults age 40 years and older with and without vision impairment. DESIGN: Cross-sectional with a nationally representative sample. METHODS: We used publicly available data from the Oral Health Module, last administered in 2008 of the National Health Interview Survey. Outcome variables included fair/poor oral health status, mouth condition compared to others the same age, mouth problems (mouth sores, difficulty eating, dry mouth, bad breath and/or jaw pain), teeth problems (toothache; broken/missing fillings or teeth; loose, crooked or stained teeth; and/or bleeding gums) and lack of social participation. Using descriptive statistics and multivariate logistic regression, we examined the association (p<0.05) between vision impairment and oral health outcomes by age-group, sociodemographic, and other explanatory variables. RESULTS: Our study sample included 12,090 adults; 12.8% of adults aged 40-64 years reported vision impairment, and among them, 44.5% reported fair/poor oral health status and 47.2% reported any mouth problems. Among adults aged >/=65 years, 17.3% reported vision impairment, of whom 36.3% reported fair/poor oral health status, and 57.3 reported any mouth problems. There is a strong association between vision impairment and poorer oral health of adults; adults aged 40-64 years with vision impairment reported 90% to 150% greater odds of oral health problems, including fair/poor oral health status, mouth problems, and teeth problems, compared to people without vision impairment. CONCLUSIONS: Oral health disparities exist between adults with and without vision impairment. Targeted interventions are required to improve oral health in this vulnerable population.

PURPOSE: To describe methodology and screening results from the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study. DESIGN: Screening program results for a prospective, randomized clinical trial. MATERIALS AND METHODS: Individuals were recruited who were African-American, Hispanic/Latino, or Asian over age 40 years; Caucasian individuals over age 65 years; any ethnicity over age 40 years with a family history of glaucoma or diabetes. Primary care offices and Federally Qualified Health Centers were used for telemedicine (Visit 1). Two posterior fundus photographs and 1 anterior segment photograph were captured per eye in each participant, using a non-mydriatic, auto-focus, hand-held fundus camera (Volk Optical, Mentor, Ohio, USA). Medical and ocular history, family history of glaucoma, visual acuity, and intraocular pressure measurements using the ICarerebound tonometer (ICare, Helsinki, Finland) were obtained. Images were read remotely by a trained retina reader and a glaucoma specialist. RESULTS: From 4/1/15, to 2/6/17, 906 individuals consented and attended Visit 1. Of these, 553 participants were female (61.0%) and 550 were African American (60.7%), with a mean age of 58.7 years. A total of 532 (58.7%) participants had diabetes, and 616 (68%) had a history of hypertension. During Visit 1, 356 (39.3%) participants were graded with a normal image. Using image data from the worse eye, 333 (36.8%) were abnormal and 155 (17.1%) were unreadable. A total of 258 (28.5%) had a suspicious nerve; 62 (6.8%) had ocular hypertension, 102 (11.3%) had diabetic retinopathy; and 68 (7.5%) had other retinal abnormalities. CONCLUSION: An integrated telemedicine screening intervention in primary care offices and Federally Qualified Health Centers detected high rate of suspicious optic nerves, ocular hypertension, and retinal pathology.

PURPOSE: To examine the prevalence of 13 chronic conditions and fair/poor health among people aged ≥65 years in the U.S. with and without vision impairment. DESIGN: Cross-sectional study from the 2010-2014 National Health Interview Survey METHODS: We examined hypertension, heart disease, high cholesterol, stroke, arthritis, asthma, chronic obstructive pulmonary disease, cancer, weak/failing kidneys, diabetes, hepatitis, depression, and hearing impairment. We used logistic regression to show the association between vision impairment and chronic conditions and the association between vision impairment and poor health for those with chronic conditions. RESULTS: People aged ≥65 years with vision impairment reported greater prevalence of chronic conditions compared to people without vision impairment. After controlling for covariates (age, sex, education, race, smoking, physical activity, and obesity), people with vision impairment were more likely than those without to report chronic conditions (hypertension: OR [odds ratio] 1.43; heart disease: OR 1.68; high cholesterol: OR 1.26; stroke: OR 1.99; arthritis; OR 1.71; asthma: OR 1.56; COPD: OR 1.65; cancer: OR 1.23; weak/failing kidneys: OR 2.29; diabetes: OR 1.56; hepatitis: OR 1.30; depression: OR 1.47; hearing impairment: OR 1.91) (all P<0.05). Among older people with chronic conditions, those with vision impairment and chronic conditions compared to people without vision impairment and chronic conditions were 1.66 to 2.98 times more likely to have fair/poor health than those without vision impairment (all p<0.05). CONCLUSION: Higher prevalence of chronic conditions is strongly associated with vision impairment among the older people and poor health is strongly associated with vision impairment and chronic conditions.

INTRODUCTION: Glaucoma is a leading cause of vision loss and blindness in the U.S. Risk factors include African American race, older age, family history of glaucoma, and diabetes. This paper describes the evaluation of a mobile eye health and a telemedicine program designed to improve access to eye care among people at high-risk for glaucoma. METHODS: The RE-AIM (reach, efficacy, adoption, implementation, and maintenance) evaluation framework was used to harmonize indicators. Both programs provided community-based eye health education and eye services related to glaucoma detection and care. Each program reported data on participants and community partners. An external evaluator conducted site visit interviews with program staff and community partners. Quantitative and qualitative data were integrated and analyzed using the RE-AIM dimensions. DISCUSSION: By targeting high-risk populations and providing comprehensive eye exams, both programs detected a large proportion of new glaucoma-related cases (17-19%) - a much larger proportion than that found in the general population (<2%). The educational intervention increased glaucoma knowledge; evidence that it led people to seek eye care was inconclusive. CONCLUSIONS: Evaluation findings from the mobile eye health program and the telemedicine program may provide useful information for wider implementation in public health clinics and in optometrist clinics located in retail outlets.

BACKGROUND: Glaucoma is the foremost cause of irreversible blindness, and more than 50% of cases remain undiagnosed. Our objective was to report the costs of a glaucoma detection programme operationalised through Philadelphia community centres. METHODS: The analysis was performed using a healthcare system perspective in 2013 US dollars. Costs of examination and educational workshops were captured. Measures were total programme costs, cost/case of glaucoma detected and cost/case of any ocular disease detected (including glaucoma). Diagnoses are reported at the individual level (therefore representing a diagnosis made in one or both eyes). Staff time was captured during site visits to 15 of 43 sites and included time to deliver examinations and workshops, supervision, training and travel. Staff time was converted to costs by applying wage and fringe benefit costs from the US Bureau of Labor Statistics. Non-staff costs (equipment and mileage) were collected using study logs. Participants with previously diagnosed glaucoma were excluded. RESULTS: 1649 participants were examined. Mean total per-participant examination time was 56 min (SD 4). Mean total examination cost/participant was $139. The cost/case of glaucoma newly identified (open-angle glaucoma, angle-closure glaucoma, glaucoma suspect, or primary angle closure) was $420 and cost/case for any ocular disease identified was $273. CONCLUSION: Glaucoma examinations delivered through this programme provided significant health benefit to hard-to-reach communities. On a per-person basis, examinations were fairly low cost, though opportunities exist to improve efficiency. Findings serve as an important benchmark for planning future community-based glaucoma examination programmes.

PURPOSE: To assess the impact of the education program of the Eye Care Quality and Accessibility Improvement in the Community (EQUALITY) telemedicine program on at-risk patients' knowledge about glaucoma and attitudes about eye care as well as to assess patient satisfaction with EQUALITY. PATIENTS AND METHODS: New or existing patients presenting for a comprehensive eye exam (CEE) at one of two retail-based primary eye clinics were enrolled based on ≥1 of the following at-risk criteria for glaucoma: African Americans ≥40 years of age, Whites ≥50 years of age, diabetes, family history of glaucoma, and/or preexisting diagnosis of glaucoma. A total of 651 patients were enrolled. A questionnaire was administered prior to the patients' CEE and prior to the patients receiving any of the evidence-based eye health education program; a follow-up questionnaire was administered 2-4 weeks later by phone. Baseline and follow-up patient responses regarding knowledge about glaucoma and attitudes about eye care were compared using McNemar's test. Logistic regression models were used to assess the association of patient-level characteristics with improvement in knowledge and attitudes. Overall patient satisfaction was summarized. RESULTS: At follow-up, all patient responses in the knowledge and attitude domains significantly improved from baseline (P≤0.01 for all questions). Those who were unemployed (odds ratio =0.63, 95% confidence interval =0.42-0.95, P=0.026) or had lower education (odds ratio =0.55, 95% confidence interval =0.29-1.02, P=0.058) were less likely to improve their knowledge after adjusting for age, sex, race, and prior glaucoma diagnosis. This association was attenuated after further adjustment for other patient-level characteristics. Ninety-eight percent (n=501) of patients reported being likely to have a CEE within the next 2 years, whereas 63% (n=326) had a CEE in the previous 2 years. Patient satisfaction with EQUALITY was high (99%). CONCLUSION: Improved knowledge about glaucoma and a high intent to pursue eye care may lead to improved detection of early disease, thus lowering the risk of blindness.

PURPOSE: To evaluate the detection rates of glaucoma-related diagnoses and the initial treatments received in the Philadelphia Glaucoma Detection and Treatment Project, a community-based initiative aimed at improving the detection, treatment, and follow-up care of individuals at risk for glaucoma. DESIGN: Retrospective analysis. PARTICIPANTS: A total of 1649 individuals at risk for glaucoma who were examined and treated in 43 community centers located in underserved communities of Philadelphia. METHODS: Individuals were enrolled if they were African American aged ≥50 years, were any other adult aged ≥60 years, or had a family history of glaucoma. After attending an informational glaucoma workshop, participants underwent a targeted glaucoma examination including an ocular, medical, and family history; visual acuity testing, intraocular pressure (IOP) measurement, and corneal pachymetry; slit-lamp and optic nerve examination; automated visual field testing; and fundus color photography. If indicated, treatments included selective laser trabeculoplasty (SLT), laser peripheral iridotomy (LPI), or IOP-lowering medications. Follow-up examinations were scheduled at the community sites after 4 to 6 weeks or 4 to 6 months, depending on the clinical scenario. MAIN OUTCOME MEASURES: Detection rates of glaucoma-related diagnoses and types of treatments administered. RESULTS: Of the 1649 individuals enrolled, 645 (39.1%) received a glaucoma-related diagnosis; 20.0% (n = 330) were identified as open-angle glaucoma (OAG) suspects, 9.2% (n = 151) were identified as having narrow angles (or as a primary angle closure/suspect), and 10.0% (n = 164) were diagnosed with glaucoma, including 9.0% (n = 148) with OAG and 1.0% (n = 16) with angle-closure glaucoma. Overall, 39.0% (n = 64 of 164) of those diagnosed with glaucoma were unaware of their diagnosis. A total of 196 patients (11.9%) received glaucoma-related treatment, including 84 (5.1%) who underwent LPI, 13 (0.8%) who underwent SLT, and 103 (6.2%) who were prescribed IOP-lowering medication. CONCLUSIONS: Targeting individuals at risk for glaucoma in underserved communities in Philadelphia yielded a high detection rate (39.1%) of glaucoma-related diagnoses. Providing examinations and offering treatment, including first-line laser procedures, at community-based sites providing services to older adults are effective to improve access to eye care by underserved populations.

PURPOSE: To examine the association of health-related quality of life (HRQoL) with severity of visual impairment among people aged 40-64 years. METHODS: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six measures of HRQoL: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, or moderate/severe. We examined the association between visual impairment and HRQoL using logistic regression accounting for the survey's complex design. RESULTS: Overall, 23.0% of the participants reported a little difficult seeing, while 16.8% reported moderate/severe difficulty seeing. People aged 40-64 years with moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days, as well as greater life dissatisfaction, greater disability, and poorer health compared to people reporting no or a little visual impairment. After controlling for covariates (age, sex, marital status, race/ethnicity, education, income, state, year, health insurance, heart disease, stroke, heart attack, body mass index, leisure-time activity, smoking, and medical care costs), and compared to people with no visual impairment, those with moderate/severe visual impairment were more likely to have fair/poor health (odds ratio, OR, 2.01, 95% confidence interval, CI, 1.82-2.23), life dissatisfaction (OR 2.06, 95% CI 1.80-2.35), disability (OR 1.95, 95% CI 1.80-2.13), and frequent physically unhealthy days (OR 1.69, 95% CI 1.52-1.88), mentally unhealthy days (OR 1.84, 95% CI 1.66-2.05), and activity limitation days (OR 1.94, 95% CI 1.71-2.20; all p < 0.0001). CONCLUSION: Poor HRQoL was strongly associated with moderate/severe visual impairment among people aged 40-64 years.

In 2014, an estimated 2.8 million persons aged ≥65 years in the United States reported severe vision impairment defined as being blind or having severe difficulty seeing, even with eyeglasses. Good vision is important for maintaining balance as well as for identifying low-contrast hazards, estimating distances, and discerning spatial relationships. Conversely, having poor vision increases the risk for falls (1,2). Falls among older adults are common and can cause serious injuries, disabilities, and premature death (1,3). To date, no state-level investigations have examined the annual prevalence of falls among persons with and without severe vision impairment. CDC analyzed data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS) to estimate the state-specific annual prevalence of falls among persons aged ≥65 years with and without self-reported severe vision impairment. Overall, 46.7% of persons with, and 27.7% of older adults without, self-reported severe vision impairment reported having fallen during the previous year. The state-specific annual prevalence of falls among persons aged ≥65 years with severe vision impairment ranged from 30.8% (Hawaii) to 59.1% (California). In contrast, the prevalence of falls among persons aged ≥65 years without severe vision impairment ranged from 20.4% (Hawaii) to 32.4% (Alaska). Developing fall-prevention interventions intended for persons with severe vision impairment will help states manage the impact of vision impairment and falls on health care resources, and can inform state-specific fall prevention initiatives.

PURPOSE: The Wills Eye Glaucoma Research Center initiated a 2-year demonstration project to develop and implement a community-based intervention to improve detection and management of glaucoma in Philadelphia. METHODS: The glaucoma detection examination consisted of: ocular, medical, and family history; visual acuity testing; corneal pachymetry; biomicroscopy of the anterior segment; intraocular pressure (IOP) measurement; gonioscopy; funduscopy; automated visual field testing; and fundus-color photography. Treatment included laser surgery and/or IOP-lowering medication. A cost analysis was conducted to understand resource requirements. Outcome measures included; prevalence of glaucoma-related pathology and other eye diseases among high-risk populations; the impact of educational workshops on level of knowledge about glaucoma (assessed by pre- and post-test evaluation); and patient satisfaction of the glaucoma detection examinations in the community (assessed by satisfaction survey). Treatment outcome measures were change in IOP at 4-6 weeks and 4-6 months following selective laser trabeculoplasty treatment, deepening of the anterior chamber angle following laser-peripheral iridotomy treatment, and rate of adherence to recommended follow-up examinations. Cost outcomes included total program costs, cost per case of glaucoma detected, and cost per case of ocular disease detected. RESULTS: This project enrolled 1649 participants (African Americans aged 50+ years, adults 60+ years and individuals with a family history of glaucoma). A total of 1074 individuals attended a glaucoma educational workshop and 1508 scheduled glaucoma detection examination appointments in the community setting. CONCLUSIONS: The Philadelphia Glaucoma Detection and Treatment Project aimed to improve access and use of eye care and to provide a model for a targeted community-based glaucoma program.

BACKGROUND: Primary open angle glaucoma is a chronic, progressive eye disease that is the leading cause of blindness among African Americans. Glaucoma progresses more rapidly and appears about 10 years earlier in African Americans as compared to whites. African Americans are also less likely to receive comprehensive eye care when glaucoma could be detected before irreversible blindness. Screening and follow-up protocols for managing glaucoma recommended by eye-care professional organizations are often not followed by primary eye-care providers, both ophthalmologists and optometrists. There is a pressing need to improve both the accessibility and quality of glaucoma care for African Americans. Telemedicine may be an effective solution for improving management and diagnosis of glaucoma because it depends on ocular imaging and tests that can be electronically transmitted to remote reading centers where tertiary care specialists can examine the results. We describe the Eye Care Quality and Accessibility Improvement in the Community project (EQUALITY), set to evaluate a teleglaucoma program deployed in retail-based primary eye care practices serving communities with a large percentage of African Americans. METHODS/DESIGN: We conducted an observational, 1-year prospective study based in two Walmart Vision Centers in Alabama staffed by primary care optometrists. EQUALITY focuses on new or existing adult patients who are at-risk for glaucoma or already diagnosed with glaucoma. Patients receive dilated comprehensive examinations and diagnostic testing for glaucoma, followed by the optometrist's diagnosis and a preliminary management plan. Results are transmitted to a glaucoma reading center where ophthalmologists who completed fellowship training in glaucoma review results and provide feedback to the optometrist, who manages the care of the patient. Patients also receive eye health education about glaucoma and comprehensive eye care. Research questions include diagnostic and management agreement between providers, the impact of eye health education on patients' knowledge and adherence to follow-up and medication, patient satisfaction, program cost-effectiveness, and EQUALITY's impact on Walmart pharmacy prescription rates. DISCUSSION: As eye-care delivery systems in the US strive to improve quality while reducing costs, telemedicine programs including teleglaucoma initiatives such as EQUALITY could contribute toward reaching this goal, particularly among underserved populations at-risk for chronic blinding diseases.

Amblyopia or lazy eye is an important cause of monocular blindness and is associated with a 2.6 fold increase in the risk for bilateral visual impairment in adults. However, amblyopia can usually be prevented through early detection and treatment. Treatment focuses on correcting the underlying cause of amblyopia (e.g., strabismus or unequal refractive error) and promoting the use of the amblyogenic eye (e.g., through patching of the other eye). Effectiveness of treatment decreases with age and is less successful after age 12 years. The overall prevalence of amblyopia among children aged 6 months to 6 years is 1% to 2%. In addition, the prevalence of amblyogenic risk factors among children in this age range is approximately 3%. Because amblyopia can usually be prevented with early intervention, preschool vision screening for the prevention of amblyopia is considered cost-effective.

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.

OBJECTIVE: We examine barriers to receiving recommended eye care among people aged ≥40 years with diagnosed diabetes. RESEARCH DESIGN AND METHODS: We analyzed 2006-2010 Behavioral Risk Factor Surveillance System data from 22 states (n = 27,699). Respondents who had not sought eye care in the preceding 12 months were asked the main reason why. We categorized the reasons as cost/lack of insurance, no need, no eye doctor/travel/appointment, and other (meaning everything else). We used multinomial logistic regression to control for race/ethnicity, education, income, and other selected covariates. RESULTS: Among adults with diagnosed diabetes, nonadherence to the recommended annual eye examinations was 23.5%. The most commonly reported reasons for not receiving eye care in the preceding 12 months were "no need" and "cost or lack of insurance" (39.7 and 32.3%, respectively). Other reasons were "no eye doctor," "no transportation" or "could not get appointment" (6.4%), and "other" (21.5%). After controlling for covariates, adults aged 40-64 years were more likely than those aged ≥65 years (relative risk ratio [RRR] = 2.79; 95% CI 2.01-3.89) and women were more likely than men (RRR = 2.33; 95% CI 1.75-3.14) to report "cost or lack of insurance" as their main reason. However, people aged 40-64 years were less likely than those aged ≥65 years to report "no need" (RRR = 0.51; 95% CI 0.39-0.67) as their main reason. CONCLUSIONS: Addressing concerns about "cost or lack of insurance" for adults under 65 years and "no perceived need" among those 65 years and older could help improve eye care service utilization among people with diabetes.

IMPORTANCE: This study provides further evidence from a national sample to generalize the relationship between depression and vision loss to adults across the age spectrum. Better recognition of depression among people reporting reduced ability to perform routine activities of daily living due to vision loss is warranted. OBJECTIVES: To estimate, in a national survey of US adults 20 years of age or older, the prevalence of depression among adults reporting visual function loss and among those with visual acuity impairment. The relationship between depression and vision loss has not been reported in a nationally representative sample of US adults. Previous studies have been limited to specific cohorts and predominantly focused on the older population. DESIGN: The National Health and Nutrition Examination Survey (NHANES) 2005-2008. SETTING: Across-sectional, nationally representative sample of adults, with prevalence estimates weighted to represent the civilian, noninstitutionalized US population. PARTICIPANTS: A total of 10,480 US adults 20 years of age or older. MAIN OUTCOME MEASURES: Depression, as measured by the 9-item Patient Health Questionnaire depression scale, and vision loss, as measured by visual function using a questionnaire and by visual acuity at examination. RESULTS: In 2005-2008, the estimated crude prevalence of depression (9-item Patient Health Questionnaire score of >=10) was 11.3% (95% CI, 9.7%-13.2%) among adults with self-reported visual function loss and 4.8% (95% CI, 4.0%-5.7%) among adults without. The estimated prevalence of depression was 10.7% (95% CI, 8.0%-14.3%) among adults with presenting visual acuity impairment (visual acuity worse than 20/40 in the better-seeing eye) compared with 6.8% (95% CI, 5.8%-7.8%) among adults with normal visual acuity. After controlling for age, sex, race/ethnicity, marital status, living alone or not, education, income, employment status, health insurance, body mass index, smoking, binge drinking, general health status, eyesight worry, and major chronic conditions, selfreported visual function loss remained significantly associated with depression (overall odds ratio, 1.9 [95% CI, 1.6-2.3]), whereas the association between presenting visual acuity impairment and depression was no longer statistically significant. CONCLUSIONS AND RELEVANCE: Self-reported visual function loss, rather than loss of visual acuity, is significantly associated with depression. Health professionals should be aware of the risk of depression among persons reporting visual function loss. (2013 American Medical Association. All rights reserved.)

PURPOSE: To define surveillance approaches and metrics to capture the burden of vision health disparities and to identify properties of a surveillance system to guide public health interventions. DESIGN: Expert panel. METHODS: Analysis of relevant literature and deliberations of expert panel. RESULTS: The panel identified that the purpose of vision surveillance was to link data to public health interventions. Panel members noted the importance of assessing vision through self-reported and performance-based measures. Defined populations should be included in a surveillance system to assess disparities in utilization of eye care and vision loss. The panel suggested that ophthalmic/vision measures should be sustained in national surveys and suggested that a vision surveillance system should be forged among federal agencies. CONCLUSIONS: Employing the 6 outlined strategies would improve vision surveillance and help reach the vision-related objectives of Healthy People 2020.

PURPOSE: To review the existing knowledge on vision health disparities in major adult vision health outcomes (age-related macular degeneration, diabetic retinopathy, glaucoma, cataract, refractive errors) and visual impairment and to identify knowledge gaps as related to the development of enhanced vision health surveillance in the United States. DESIGN: Literature review. METHODS: Analysis of relevant publications in the peer-reviewed literature. RESULTS: Prevalence data on vision health outcomes is limited to findings from a few key population-based studies. Study populations are not representative of all persons living in the United States. Vision loss and visual impairment are more common with age, and there is racial variation in the specific causes of vision loss (underlying health conditions). Women are at greater risk of vision loss than men (even after adjusting for age). Vision-related disability and disparities in visual outcomes are monitored poorly at present. CONCLUSIONS: Data to assess and monitor trends in vision health disparities in the United States are not collected presently in a systematic fashion. This lack of data limits public health efforts to overcome barriers to eye care use and to improve vision outcomes.

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.

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.

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.

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.

OBJECTIVE: To examine the impact of the geographic density of eye care professionals (ECPs) on the receipt of annual dilated eye examinations among adults in the United States with diabetes. METHOD: Data from the 2006 Behavioral Risk Factor Surveillance System were linked to the 2007 Area Resource File to examine the association between the density of ECPs (ophthalmologists and optometrists) per 100,000 people and self-reports of having had a dilated eye examination in the last year. The sample included adults aged 18+ years with diabetes (N = 29,495). Multivariate logistic regression was conducted to estimate adjusted odds ratios of annual dilated eye examinations, while controlling for age, sex, marital status and education, and stratifying by health insurance. RESULTS: Approximately 10% of respondents with diabetes lived in counties with no ECPs. Prevalence of being uninsured was 7.4% and 15.5% in those with and without dilated eye exams, respectively. After controlling for covariates and stratifying by health insurance, diabetic adults with health insurance cover residing in areas with no ECPs were less likely to report having had a dilated eye examination in the past year than those with 20 or more ECPs/100,000 people (odds ratio 0.72, 95% confidence interval 0.58-0.91). CONCLUSION: Residence in a county with a low density of ECPs reduced the likelihood of receiving annual dilated eye examinations among insured adults with diabetes. Enhancing the ability of ECPs to reach and care for those in need might better protect vision in people with diabetes. More research is needed to determine the mix of services that produces the best patient outcome.

PURPOSE: To describe uncorrected distance visual impairment (VI). METHODS: We conducted an analysis of the 3,555 adolescents aged 12 through 21 years who participated in the 2005-2008 National Health and Nutrition Examination Survey. Distance VI was defined as 20/40 or worse in the better-seeing eye. Data were weighted to represent the civilian noninstitutionalized population. RESULTS: Overall, 12.3% (95% confidence interval [CI]: 10.7%-14.1%) had distance VI, which was correctable to 20/30 or better in both eyes in 86.1% (95% CI: 83.6%-89.5%). The prevalence was higher among those who reported not having corrective lenses available (44.3%) compared with those who reported that they did not need them (8.5%) or who had them available (5.2%; p < .001). After adjusting for potential confounders, those who were 12 or 13 years of age had 2.27 (95% CI: 1.32-3.90) greater odds of distance VI than older adolescents, and the odds of distance VI were greater among non-Hispanic blacks (1.66 [95% CI: 1.11-2.48]), Hispanics (1.96 [95% CI: 1.35-2.84]), or other race/ethnicities (2.06 [95% CI: 1.19-3.57]) than among non-Hispanic whites. CONCLUSIONS: More than 1 in 10 adolescents had uncorrected distance VI. To address this, interventions should address case detection, access to eye care, and adherence with corrective lenses.

PURPOSE: To examine whether socioeconomic status, as measured by educational attainment and annual household income, is associated with lifetime risk for workplace eye injury in a large US population. METHODS: In analyses of data from the Behavioral Risk Factor Surveillance System (2005-2007, N = 43,510), we used logistic regression analysis and propensity score matching to assess associations between socioeconomic measures and lifetime risk for workplace eye injury among those aged ≥50 years. RESULTS: The lifetime prevalence of self-reported workplace eye injury was significantly higher among men (13.5%) than women (2.6%) (P < 0.001). After adjusting for age, race/ethnicity, eye care insurance, health status, and risk-taking behaviors, men with less than high school education (adjusted odds ratio [OR] = 2.24, 95% CI: 1.74-2.87) or high school education (adjusted OR = 1.92, 95% CI: 1.57-2.33) were more likely to report having had a lifetime workplace eye injury than those with more than a high school education. Men with an annual household income <$15,000 were also more likely to report having had a lifetime workplace eye injury than those whose income was >$50,000 (adjusted OR = 1.44, 95% CI: 1.07-1.95). After adjusting for other factors, no statistically significant associations between education, income, and lifetime workplace eye injury were found among women. CONCLUSIONS: Socioeconomic status was associated with lifetime risk for workplace eye injury among men but not women. Greater public awareness of individual and societal impacts of workplace eye injuries, especially among socioeconomically disadvantaged men, could help support efforts to develop a coordinated prevention strategy to minimize avoidable workplace eye injuries.

BACKGROUND: Few data are available regarding the rate of preschool vision screening. The purpose of this study is to estimate the current rate of vision testing among children ages 3 through 6 years by any health care provider and to the characterize the children reported to have been tested. METHODS: We conducted a cross-sectional analysis of the 4,237 children aged 3 through 6 years included in either the 2006 or 2007 Medical Expenditure Panel Survey. Household respondents were asked whether selected children ever had vision testing by a doctor or other health provider. Data were weighted to make estimates representative of the civilian noninstitutionalized population. RESULTS: Overall, 64.9% (95% CI, 62.9%-66.9%) of children 3 through 6 years of age were reported to have ever had vision testing. The likelihood of previous reported testing increased with age, from 42.9% among 3-year-olds to 79.4% among 6-year-olds (P < 0.001). After adjusting for age, family income, insurance status, whether the child had a regular health care provider, and whether the child had special health care needs, we found that lower odds of testing were reported among non-Hispanic white children (odds ratio [OR], 0.73; 95% CI, 0.55-0.97) and among Hispanic children (OR, 0.62; 95% CI, 0.47-0.82) compared with non-Hispanic black children (OR, 1). CONCLUSIONS: These findings highlight the gaps in the delivery of preschool vision screening. Improved population-level surveillance of children's vision and methods to track use of vision-related health services are needed to inform policy makers to develop new strategies to improve care.

BACKGROUND: Depression and anxiety are prevalent among adults with disabilities. However, little is known regarding the geographic variability of depression and anxiety among adults with disabilities in the United States. OBJECTIVES: We estimated prevalence of current depression, lifetime diagnoses of depression (LD), and lifetime diagnoses of anxiety (LA) among adults with disabilities by state, metropolitan and micropolitan statistical area (MMSA), and county. METHODS: We analyzed Behavioral Risk Factor Surveillance System data from 2006 for 41 states and territories, 74 MMSAs, and 112 counties. Stratified analyses by sociodemographic and health status variables were performed for the 10 MMSAs with the highest estimates of current depression, LD, and LA, respectively. Current depressive symptoms were assessed with the Patient Health Questionnaire-8. RESULTS: Estimates of current depression, LD, and LA among adults with disabilities varied substantially by state, MMSA, and county. Current depression estimates ranged from 14.7% in North Dakota to 30.1% in Mississippi; from 8.4% in San Francisco-Oakland-Fremont, CA, to 36.2% in Jacksonville, FL; and from 12.3% in Cumberland County, ME, to 44% in Orleans Parish, LA. There was major variation within some states (e.g., prevalence of current depression was 8.4% in San Francisco-Oakland-Fremont, CA compared to 25.5% in Los Angeles-Long Beach-Glendale, CA). In the 10 MMSAs with the highest estimates, estimates varied by age, gender, socioeconomic status, and health status. CONCLUSIONS: Public and mental health agencies may find these estimates useful for program planning purposes to address depression and anxiety among adults with disabilities.

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.

PURPOSE: To develop a health risk profile for adults age 65 years or older with blindness, using the International Classification of Functioning, Disability and Health (ICF) as our conceptual framework. METHODS: We combined and analyzed data from the 2000-2006 National Health Interview Survey after backcoding questions to the ICF. We compared older adults with blindness (n = 477) and older adults with vision loss but not blindness (n = 6,721) with older adults who reported no vision loss (n = 33,497) for the following outcome measures: demographics, functional limitations (self-care, social participation, and mobility limitations), level of psychological distress, physical health status, selected chronic conditions and health risk behaviors (smoking, alcohol use, obesity, and physical inactivity). RESULTS: Older adults with blindness were more likely to be poorer, older, and less educated than older adults without vision loss. They were also more likely to have fair to poor health; to have difficulty walking; to experience diabetes, heart problems, and breathing problems; and to be physically inactive, compared with older adults reporting vision loss but not blindness and older adults without vision loss. CONCLUSION: Older adults with blindness face significant health disparities that can diminish their quality of life without timely, disability-sensitive interventions to address serious psychological distress and physical inactivity.

OMB DISCLAIMER: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. ABSTRACT OBJECTIVES: To estimate the prevalence of current depressive symptoms (CDS) among adults that reported disabilities requiring the use of assistive technology (AT) and those that did not, and to examine the sociodemographic, comorbidity, health behavior, and social support correlates of this condition in adults who use AT. METHODS: Data from the 2006 Behavioral Risk Factor Surveillance System, a standardized telephone survey among U.S. adults, were analyzed (n=195,033). The Patient Health Questionnaire diagnostic algorithm was used to identify CDS. RESULTS: AT users were significantly more likely than AT non-users to have CDS (age-standardized: 30.4% vs. 7.4%). Among AT users, there was a dose-response relationship between depression severity and increased prevalence of health conditions, obesity, smoking, and physical inactivity. In the full covariate logistic regression model, the strongest sociodemographic variables associated with CDS among AT users were age and employment status. Other variables strongly associated with CDS were lack of social support and anxiety. CONCLUSIONS: An integrated approach to health care should be taken with adults who use AT. AT service providers, primary health care providers, and other care givers should be alert to the possibility of depression in AT users; and opportunities to prevent, detect, and treat depression among this population should not be missed.

OBJECTIVES: Our objective was to examine the extent to which serious psychological distress (SPD) is associated with behavioral and social correlates among US adults with self-reported disabilities. METHODS: Self-reported data on disability, SPD, and behavioral and social correlates were collected from 202,383 participants (aged > or = 18 years) of the 2007 Behavioral Risk Factor Surveillance System. Adults with self-reported disabilities were identified using two standardized questions--one relating to activity limitation, the other to special equipment. RESULTS: The age-adjusted prevalence of SPD among adults with disabilities was nearly seven times higher than among adults without disabilities (14.1 % vs. 1.8 %, respectively). Adults with disabilities who have both activity limitations and who use assistive technology, and those with activity limitations only consistently experienced a higher prevalence of SPD than those who used assistive technology only (age-adjusted prevalence: 21.0 % and 12.7 % vs. 4.9 %). After adjusting for age, sex, race/ethnicity, educational attainment, marital status, and employment status, in the past 30 days SPD was more common among Hispanic persons, and was significantly associated with younger age, lower educational attainment, marital history, and employment status. Adults with SPD and disabilities experienced increased levels of risk behaviors, life dissatisfaction, and inadequate social support. Most importantly, just over half of adults with disabilities and SPD (51.6 % [95 % CI = 48.6-54.6]) were receiving medical care for a mental health condition compared to 20.6 % (95 % CI = 19.9-21.3) without SPD. CONCLUSIONS: Given that SPD is strongly associated with both the behavioral and psychosocial determinants of health, this work underscores the need for evidence-based interventions that may reduce its prevalence among people living with disabilities.