ArticleJAMA ophthalmology2022
Association of Socioeconomic, Demographic, and Health Care Access Disparities With Severe Visual Impairment in the US.
Article in JAMA ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Social Determinants of Dry Eye in the United States: A Systematic Review.American journal of ophthalmology · 2024Pooled it
- Socioeconomic inequalities in self-reported vision impairment among middle-aged and older adults in China: a national longitudinal study from 2011 to 2018.Eye (London, England) · 2026Article
- Vision in the margins: the association between census tract neighbourhood disadvantage and visual difficulty and blindness in the United States.Eye (London, England) · 2026Article
- Bioactive Properties of Carotenoids in Ocular Diseases: Antioxidant, Anti-Inflammatory, and Neuroprotective Effects.Nutrients · 2026Review
- Racial and microvascular determinants of progression to treatment-warranted diabetic eye disease.Eye (London, England) · 2026Article
- Social vulnerability, access to care, and outcomes in hemophilia.Blood vessels, thrombosis & hemostasis · 2026Article
- Linking multicenter electronic health records with socioeconomic data to examine receipt of standard versus premium intraocular lenses.AJO international · 2026Article
- An Ecological Analysis of Online Medical Consumption Discourse Among Visually Impaired Individuals Using a Theory-Driven LLM Approach.Healthcare (Basel, Switzerland) · 2026Article
- Association Between Depressive Symptoms and Severe Vision Difficulty Among United States Adults.Cureus · 2026Article
- Racial and ethnic differences in the associations of sensory impairments with cognition in older United States adults.Journal of Alzheimer's disease : JAD · 2026Article
- Medication adherence rates in patients with ocular inflammatory disease.Frontiers in medicine · 2026Article
- Epidemiology and Associated Ocular Conditions of Visual Impairment in the United States: A Decade of Data from TriNetX US Network.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Association between local household income and paediatric visual outcomes: a retrospective cross-sectional study of a mobile school-based eye clinic in Orange County, California.BMJ public health · 2026Article
- Severe vision impairment is associated with cumulative social risk among adults in Puerto Rico: a population-based study.Frontiers in public health · 2026Article
- Sensory impairments and cognitive impairment among Mexican American older adults: nativity differences.Aging & mental health · 2026Article
- Predictors of Health Care Disparities in Fuchs Dystrophy Treatment Using the IRIS Registry.Cornea · 2026Article
- Social Determinants of Diabetic Retinopathy Severity at Initial Presentation: A Cross-Sectional Study of Data from an Urban Safety Net Hospital.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- [Predictors of the appropriateness of first presentation in an university ophthalmology outpatient clinic: an analysis of sociodemographic factors].Die Ophthalmologie · 2025Article
- Persistent disparities in diabetic retinopathy outcomes among socially deprived individuals despite treatment adherence.Eye (London, England) · 2025Article
- International prevalence of tactile map usage and its impact on navigational independence and well-being of people with visual impairments.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Approximately 13% of US adults are affected by visual disability, with disproportionately higher rates in groups impacted by certain social determinants of health (SDOH). Objective: To evaluate SDOH associated with severe visual impairment (SVI) to ultimately guide targeted interventions to improve ophthalmic health. Design, Setting, and Participants: This quality improvement study used cross-sectional data from a telephone survey from the Behavioral Risk Factor Surveillance System (BRFSS) that was conducted in the US from January 2019 to December 2020. Participants were noninstitutionalized adult civilians who were randomly selected and interviewed and self-identified as "blind or having serious difficulty seeing, even while wearing glasses." Exposures: Demographic and health care access factors. Main Outcomes and Measures: The main outcome was risk of SVI associated with various factors as measured by odds ratios (ORs) and 95% CIs. Descriptive and logistic regression analyses were performed using the Web Enabled Analysis Tool in the BRFFS. Results: During the study period, 820 226 people (53.07% female) participated in the BRFSS survey, of whom 42 412 (5.17%) self-identified as "blind or having serious difficulty seeing, even while wearing glasses." Compared with White, non-Hispanic individuals, risk of SVI was increased among American Indian/Alaska Native (OR, 1.63; 95% CI, 1.38-1.91), Black/African American (OR, 1.50; 95% CI, 1.39-1.62), Hispanic (OR, 1.65; 95% CI, 1.53-1.79), and multiracial (OR, 1.33; 95% CI, 1.15-1.53) individuals. Lower annual household income and educational level (eg, not completing high school) were associated with greater risk of SVI. Individuals who were out of work for 1 year or longer (OR, 1.78; 95% CI, 1.54-2.07) or who reported being unable to work (OR, 2.90; 95% CI, 2.66-3.16) had higher odds of SVI compared with the other variables studied. Mental health diagnoses and 14 or more days per month with poor mental health were associated with increased risk of SVI (OR, 1.87; 95% CI, 1.73-2.02). Health care access factors associated with increased visual impairment risk included lack of health care coverage and inability to afford to see a physician. Conclusions and Relevance: In this study, various SDOH were associated with SVI, including self-identification as being from a racial or ethnic minority group; low socioeconomic status and educational level; long-term unemployment and inability to work; divorced, separated, or widowed marital status; poor mental health; and lack of health care coverage. These disparities in care and barriers to health care access should guide targeted interventions.
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