Assessing Eye Health and Eye Care Needs Among North American Native Individuals

Loss to Follow Up Among Glaucoma Patients: An IRIS® Registry (Intelligent Research in Sight) Retrospective Cohort Analysis

PURPOSE

To identify prevalence of and risk factors for loss to follow up (LTFU) among a national cohort of patients with primary open-angle glaucoma (POAG).

METHODS

This retrospective cohort study analyzed data from the IRIS® Registry (Intelligent Research in Sight) database from 2014 through 2019 to assess LTFU among adult patients with POAG. POAG patients with at least one clinical encounter in 2014 were included. LTFU was defined as exceeding one year without a clinical encounter during the study period.

RESULTS

Among 553,663 glaucoma patients, 277,019 (50%) became LTFU, of whom 184,548 (67%) never returned to care and 92,471 (33%) re-established follow-up after a lapse. Risk of LTFU was greatest among those younger than 60 years (RR = 1.38; 95% CI: 1.36-1.39) or older than 80 years (RR = 1.39; 95% CI: 1.38-1.40) compared to those in their 60s. Compared to White race, risk for LTFU was highest among Native Hawaiian/Pacific Islander (RR = 1.24; 95% CI: 1.17-1.31), Hispanic ethnicity (RR = 1.19; 95% CI: 1.18-1.20), and Black race (RR = 1.10; 95% CI: 1.09-1.11). Medicare insurance was associated with lower risk of LTFU (RR = 0.79; 95% CI: 0.78-0.79), whereas unknown/missing/no insurance was associated with greater risk (RR = 1.33; 95% CI: 1.32-1.34), compared to private insurance. Compared to mild-stage POAG, risk of LTFU was higher for moderate-stage (RR = 1.10; 95% CI: 1.08-1.13) and severe-stage disease (RR = 1.35; 95% CI: 1.32-1.38).

CONCLUSION

We found a 50% prevalence of LTFU among POAG patients in the IRIS Registry over a 6-year study period, with greater risk among minority groups and those with more advanced disease.

Racial Disparities in Glaucoma Vision Outcomes and Eye Care Utilization: An IRIS Registry Analysis

PURPOSE

To evaluate racial disparities in vision outcomes and eye care utilization among glaucoma patients.

DESIGN

Retrospective cohort study.

METHODS

In this population-based IRIS Registry (Intelligent Research in Sight) study, we included patients with minimum one diagnosis code for glaucoma at least 6 months prior to January 1, 2015 and at least one eye exam, visual field (VF), optical coherence tomography (OCT), or eye-related inpatient or emergency department (ED) code in 2015. Multivariable logistic and negative binomial regression models were used to assess vision and utilization outcomes, respectively, across race and ethnicity from January 1, 2015 to January 1, 2020. Vision outcomes included cup-to-disc ratio (CDR) progression > 0.80, poor vision (visual acuity 20/200 or worse), low vision codes, and need for glaucoma filtering surgery. Utilization outcomes included outpatient eye exams, OCTs, VFs, inpatient/ED encounters, and lasers/surgeries.

RESULTS

Among 996,297 patients, 73% were non-Hispanic White, 15% non-Hispanic Black, 9% Hispanic, 3% Asian/Pacific Islander, and 0.3% Native American/Alaska Native. Compared to White eyes, Black and Hispanic eyes had higher adjusted odds of CDR progression (odds ratio [OR] = 1.12, 95% confidence interval [CI] = 1.08-1.17; OR = 1.28, 95% CI = 1.22-1.34), poor vision (OR = 1.26, 95% CI = 1.22-1.29; OR = 1.26, 95% CI = 1.22-1.31), glaucoma filtering surgery (rate ratio (RR) = 1.47, 95% CI = 1.42-1.51; RR = 1.13, 95% CI = 1.09-1.18). Hispanic eyes also had increased odds of low vision diagnoses (Hispanic OR = 1.18, 95% CI = 1.07-1.30). Black and Hispanic patients were less likely to have eye exams (RR = 0.94, 95% CI = 0.94-0.95; RR = 0.99, 95% CI = 0.99-0.99) and OCTs (RR = 0.86, 95% CI = 0.85-0.86; RR = 0.97, 95% CI = 0.96-0.98), yet Black patients had higher odds of inpatient/ED encounters (RR = 1.64, 95% CI = 1.37-1.96) compared to White patients. Native American patients were more likely to have poor vision (OR = 1.17, 95% CI = 1.01-1.36) and less likely to have outpatient visits (RR = 0.89, 95% CI = 0.86-0.91), OCTs (RR = 0.85, 95% CI = 0.82-0.89), visual fields (RR = 0.91, 95% CI = 0.88-0.94) or lasers/surgeries (RR = 0.87, 95% CI = 0.79-0.96) compared to White patients.

CONCLUSIONS

We found that significant disparities in US eye care exist with Black, Hispanic, and Native American patients having worse vision outcomes and less disease monitoring. Glaucoma may be undertreated in these racial and ethnic minority groups, increasing risk for glaucoma-related vision loss.

Prevalence and Economic Burden of Fuchs Endothelial Corneal Dystrophy in the Medicare Population in the United States

PURPOSE

The aim of this study was to assess the prevalence and economic burden of Fuchs endothelial corneal dystrophy (FECD) in patients older than 65 years in the United States.

METHODS

A retrospective analysis of the Medicare data reported to the Vision and Eye Health Surveillance System including patients diagnosed with FECD between 2014 and 2019 was performed. The crude prevalence rate of FECD was assessed and extrapolated to estimate the total case burden in the United States. The prevalence data were further compared between men and women and different racial groups. In addition, the economic burden was computed using inflation-adjusted direct costs of treatment to patients.

RESULTS

The Medicare database included 25,432,700 patients older than 65 years. The national prevalence of FECD in this population cohort was calculated to be 1.12% in 2019. In 2019, FECD case burden in Medicare patients older than 65 years was 284,846 and total estimated FECD case count in the country in this age group was 591,226. FECD prevalence was significantly higher in women as compared to men during the 6-year period evaluated in this study. The intergroup comparison revealed that FECD prevalence in the White population was significantly higher than all other racial groups ( P < 0.0001). The total inflation-adjusted economic burden of FECD in the United States in 2019 was USD 291.648 million and has increased from USD 243.998 million over the 6-year study period.

CONCLUSIONS

The estimated prevalence of FECD in the individuals older than 65 years is 1.12% in the United States. FECD prevalence is significantly higher in women and White population compared with other ethnicities.

Prevalence and Economic Burden of Keratoconus in the United States

PURPOSE

To assess the prevalence and economic burden of keratoconus in the United States.

DESIGN

Retrospective cohort study.

METHODS

Patients enrolled in Medicaid and Children's Health Insurance Program (CHIP) who were diagnosed with keratoconus between 2016 and 2019 were included. The data reported to the Centers for Disease Control and Prevention (CDC) Vision and Eye Health Surveillance System (VEHSS) were analyzed. The crude prevalence rates (national and statewise) were obtained from the database and extrapolated to estimate the keratoconus case count in the United States. The keratoconus prevalence was compared between male and female individuals using the Mann-Whitney test, whereas Brown-Forsythe 1-way analysis of variance was used to compare prevalence between age and racial groups. The Dunnett T3 multiple comparison test was used for intergroup comparison. Finally, the economic burden of keratoconus was assessed by inflation-adjusted direct costs to patients and total cases in the country.

RESULTS

In the cohort of 69,502,000 patients enrolled for Medicaid and CHIP, the national prevalence of keratoconus was computed to be 0.04% in 2019 and had increased from 0.03% in 2016. The highest prevalence of keratoconus was observed in patients 18 to 39 years of age, followed by patients 40 to 64 years of age; comparable prevalence rates were observed in these age groups in the Black population. The prevalence was moderately higher in female compared to male individuals; however, significantly higher keratoconus prevalence was observed in Black female individuals compared to male individuals. A significantly high prevalence of keratoconus was observed in the Black population, followed by Hispanic population. In 2019, the average inflation-adjusted lifetime cost of keratoconus treatment was USD 28,766.69, with a cumulative economic burden of USD 3.8 billion.

CONCLUSIONS

In the United States, keratoconus is most prevalent in individuals 18 to 39 years of age. The keratoconus prevalence is higher in the Black population, specifically female individuals, and the diagnosis is often delayed in these patients.

DIAGNOSTIC PATTERNS OF AGE-RELATED MACULAR DEGENERATION

PURPOSE

To characterize prevalence estimates by race, age, sex, and comorbidity (diabetes and hypertension) within the Medicare beneficiary demographic.

METHODS

In this US population-based retrospective cohort analysis, the Vision and Eye Health Surveillance System was analyzed for a 100% sample of Medicare Fee-For-Service beneficiary populations of Asians and non-Hispanic Whites between 2014 and 2018. Exclusionary criteria included beneficiaries younger than 40 years. Prevalence rate ratios, defined as prevalence rate for Asians divided by prevalence rate for non-Hispanic Whites, were calculated using multivariate negative binomial regression or Pearson-scaled Poisson regression, stratified by age, sex, and comorbidity.

RESULTS

A total of 21,892,200 Medicare beneficiaries fulfilled the inclusionary criteria in 2018. Of the entire cohort, 3.2% of the beneficiaries (N = 714,500) were Asian. For beneficiaries aged 40 to 64 years, Asian male (prevalence rate ratios 1.73, 95% confidence interval 1.64-1.83, P < 0.0001) and female (prevalence rate ratios 1.34, 95% confidence interval 1.28-1.41, P < 0.0001) beneficiaries had an increased prevalence rate of all age-related macular degeneration relative to non-Hispanic Whites. Significant time-wise increases in prevalence rate ratios were observed within several age groups, sexes, and comorbidities (race-time interaction coefficients P < 0.05 ).

CONCLUSION

This analysis highlights increased age-related macular degeneration prevalence estimates within the Asian American demographic relative to non-Hispanic Whites. Furthermore, specific Asian subpopulations are experiencing accelerated prevalence rates over time.

Prevalence and Risk Factors of Self-reported Vision Impairment among Native Hawaiians and Pacific Islanders in the United States

Racial disparities in vision impairment have been reported among Black, Hispanic, and White Americans. However, there is a paucity of research on vision impairment among Native Hawaiians and Pacific Islanders (NHPIs). The objective of this study was to determine the prevalence of, and risk factors for, self-reported visual impairment in NHPI adults in the United States (US). Data from the NHPI and 2014 National Health Interview Surveys were analyzed using sample weights and variance estimates. Prevalence was calculated for vision impairment and blindness for the NHPI and overall US populations. Sociodemographic and clinical risk factors of vision impairment were explored using descriptive statistics, χ2 tests, and simple and multiple logistic regression. In total, 2 586 NHPIs and 36 673 individuals in the US were included. The prevalence of vision impairment was 8.8% among NHPIs and 9.1% for the overall US population, and the prevalence of blindness was 0.72% for NHPIs and 0.35% for the overall population. Independent risk factors associated with vision impairment were having a Charlson Comorbidity Index over 1 [OR: 2.89, 95% CI: (1.42-5.88)] and having a family income below $35 000 [OR: 2.03, 95% CI: (1.06-3.89)]. In summary, the rate of blindness is higher among NHPIs than the overall US population, especially for older and unemployed individuals with more comorbidities. Higher comorbidity burden, lower family income, and recent eye care were risk factors for vision impairment. More research is necessary to develop targeted and culturally sensitive interventions to promote NHPI eye health.

A Review of the Prevalence of Ophthalmologic Diseases in Native American Populations

PURPOSE

Compared with the general population in North America, Native American/American Indian and Alaska Native (AI/AN) populations experience a disparate prevalence of eye diseases. Visual impairment is a barrier to communication, interferes with academic and social success, and decreases overall quality of life. The prevalence of ocular pathology could serve as an indicator of health and social disparities. Therefore, the objective of this research was to perform a thorough review comparing the prevalence of common ophthalmological pathologies between AI/AN and non-AI/AN individuals in North America.

DESIGN

Retrospective, cross-sectional study.

METHODS

A total of 57 articles were retrieved and reviewed, and 14 met the criteria outlined for inclusion. These articles were retrieved from PubMed, MEDLINE, and ISI Web of Knowledge. Only studies that were peer reviewed in the last 25 years and reported on the prevalence of eye diseases in AI/AN compared with a non-AI/AN population met criteria.

RESULTS

Rates of retinopathy, cataracts, visual impairment, and blindness were clearly higher for AI/AN compared with non-AI/AN counterparts. Although rates of macular degeneration and glaucoma were similar between AI/AN and non-AI/AN populations, the treatment rates were lower and associated with poorer outcomes in AI/AN individuals.

CONCLUSIONS

There are considerable inequities in the prevalence and treatment rates of ophthalmologic conditions in AI/AN individuals. A likely explanation is the barrier of lack of access to adequate health and eye care. Because of substantial underinsurance and geographic variability, attention needs to be brought to expanding eye care access to AI/AN communities. The results are subject to the availability of appropriate technology, health literacy, and language.

Sociodemographic and Geographic Variation in Access to Neuro-Ophthalmologists in the United States

BACKGROUND

Neuro-ophthalmologists have expertise in rare and complex disorders, but the ability of patients to access neuro-ophthalmic care has not been examined at a nationwide level.

METHODS

Using the 2020 directory of all 502 members of the North American Neuro-Ophthalmology Society as a reference, we found the practice locations of 461 confirmed practicing members and converted each street address to latitude and longitude coordinates. We calculated the travel distance and time from each census tract to the nearest practice location and calculated population-weighted averages by state, region, and other prespecified factors. Choropleth maps were used to visualize the distribution of travel distances and times across the United States.

RESULTS

California had the most practicing neuro-ophthalmologists out of any state (50), whereas 4 states (DE, MT, SD, and WY) had none. Washington, DC and MA had the most neuro-ophthalmologists per capita. The average travel distance and time to the nearest neuro-ophthalmologists were found to be 40.90 miles and 46.50 minutes, respectively, although a large portion of western plains and mountain regions had travel times of over 120 minutes. Patients in rural areas had longer travel times than those in urban areas, and Native American patients had the longest travel times of any racial or ethnic group.

CONCLUSION

The travel time to see a neuro-ophthalmologist varies widely by state, region, and rurality, with Native American patients and rural patients being disproportionately affected. By identifying the areas with the greatest travel burdens, future policies can work to alleviate these potential barriers to care.

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness

PURPOSE

Redlining was a discriminatory housing policy in the United States that began in 1933 and denoted neighborhoods with high proportions of Black individuals as "undesirable" and a high risk for lending, which therefore excluded people from obtaining traditional insured mortgages to purchase a home. Simultaneously, realtors discouraged Black individuals from purchasing homes in predominantly non-Black neighborhoods. This resulted in decreased home ownership and wealth accumulation among Black individuals and neighborhoods with high proportions of Black individuals. This study investigated rates of visual impairment and blindness (VIB) in neighborhoods that at one time were graded for redlining.

DESIGN

Secondary data analysis of American Community Survey data and historical grades for redlining.

PARTICIPANTS

United States census tracts (CTs) from 2010 with historical grades for redlining.

METHODS

One-way analysis of variance, Kruskal-Wallis test, chi-square test, and logistic regression modeling.

MAIN OUTCOME MEASURES

The main outcome was CT percentage of residents reporting VIB and the association with historical grades for redlining. Grades were converted to numeric values (1 to 4, with higher values indicating worse grade) and aggregated over a CT based on the distribution of grades within to obtain a redlining score. Logistic regression was used to model the effect of redlining on the probability of having VIB.

RESULTS

Eleven thousand six hundred sixty-eight CTs were analyzed. Logistic regression found that a 1-unit increase in average redlining score was associated with a 13.4% increased odds of VIB after controlling for CT measures of age, sex, people of color (any non-White race), state, and population size (odds ratio [OR], 1.134; 95% confidence interval [CI], 1.131-1.138; P < 0.001). Similar results were observed for an additional model that adjusted for the estimated percentage of Black residents within a CT (OR, 1.180; 95% CI, 1.177-1.183; P < 0.001).

CONCLUSIONS

Historical government-sanctioned residential segregation through redlining was found to be associated with higher proportions of people living with VIB in these neighborhoods today. Understanding how neighborhood segregation impacts eye health is important for planning improved mechanisms of eye care delivery to mitigate health disparities.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.

Indigenous Eye Health in the Americas: The Burden of Vision Impairment and Ocular Diseases

Review of the burden of vision impairment and blindness and ocular disease occurrence in Indigenous Peoples of the Americas. We systematically reviewed findings of the frequency of vision impairment and blindness and/or frequency of ocular findings in Indigenous groups. The database search yielded 2829 citations, of which 2747 were excluded. We screened the full texts of 82 records for relevance and excluded 16. The remaining 66 articles were examined thoroughly, and 25 presented sufficient data to be included. Another 7 articles derived from references were included, summing a total of 32 studies selected. When considering adults over 40 years old, the highest frequencies of vision impairment and blindness in Indigenous Peoples varied from 11.1% in high-income North America to 28.5% in tropical Latin America, whose rates are considerably higher than those in the general population. Most of the ocular diseases reported were preventable and/or treatable, so blindness prevention programs should focus on accessibility to eye examinations, cataract surgeries, control of infectious diseases, and spectacles distribution. Finally, we recommend actions in six areas of attention towards improving the eye health in Indigenous Peoples: access and integration of eye services with primary care; telemedicine; customized propaedeutics; education on eye health; and quality of data.

Inequities and Research Gaps in Ophthalmology: A Scoping Review

Importance

Deficient ophthalmologic care is costly to patients, making the identification of groups not receiving adequate care of vital importance. The current landscape of equity in ophthalmic care has yet to be thoroughly investigated and is important to ensure inclusivity and patient-centered care.

Objective

To perform a scoping review of the literature pertaining to health care inequities in the field of ophthalmology.

Evidence Review

A comprehensive database search using MEDLINE (via PubMed) and Ovid Embase was done in July 2022. English-language articles published from 2016 to 2021 were included and encompassed all article types except commentaries or correspondence. The search modeled the National Institutes of Health list of designated US health inequity populations, which includes income, education level, occupational status, rural and underresourced area, sex and gender, lesbian, gay, bisexual, transgender, and queer (LGBTQ) identity, and race and ethnicity. A total of 8170 abstracts and titles were screened by 2 independent investigators, and 189 studies were assessed in full text for eligibility. For inclusion, articles needed to be an ophthalmic study discussing health inequities. In a masked, duplicate fashion, 2 independent investigators screened 75 full-text studies for data extraction using a pilot-tested form. Data extraction included general publication characteristics and health inequity data based on the National Institutes of Health's defined inequity groups.

Findings

A total of 75 publications were included. Notable inequities were found among Black and Hispanic patients associated with negative ophthalmic outcomes and mixed associations regarding sex or gender. Overall, lower-income patients were more likely to have vision impairment, use eye care services less, and have lower adherence to eye examinations. No articles within our sample examined LGBTQ inequities among ophthalmology patients since the 2016 National Institutes of Health classification of sexual and gender minority populations. Substantial research gaps were observed within the ophthalmic literature pertaining to the LGBTQ community, race and ethnicity, and rural and underresourced areas.

Conclusions and Relevance

This scoping review found substantial findings associated with the LGBTQ community, race and ethnicity, and the role of telemedicine in rural and underresourced areas. Because of the importance of ophthalmic care in overall patient health, it is vital to understand the various inequities present and strive to improve the current gaps in the literature. Future studies should (1) examine barriers to clinical study and medical trainee recruitment as well as patient values and preference studies and (2) investigate the implementation of telemedicine in underresourced areas.