THE ASSOCIATION BETWEEN COMPLEX CATARACT SURGERY AND SOCIAL DETERMINANTS OF HEALTH IN FLORIDA

Neighborhood-Level Social Determinants of Health and Presenting Characteristics for Rhegmatogenous Retinal Detachments

Importance

Functional outcomes after repair of rhegmatogenous retinal detachments (RRDs) are highly dependent on baseline visual acuity and foveal status. Adverse social determinants of health (SDOH) can present barriers to timely presentation for repair and limit vision outcomes.

Objective

To evaluate the association between neighborhood-level SDOH with baseline severity (visual acuity and fovea status) of RRD.

Design, Setting, and Participants

This was a retrospective cohort study that included adult patients 18 years and older who underwent primary repair of uncomplicated RRD at the Wilmer Eye Institute from January 2008 to December 2018. Study data were analyzed from December 2023 to April 2024.

Exposures

The census block group of patient home addresses were matched to multiple neighborhood-level SDOH including the Area Deprivation Index (ADI), per capita income, percentage of renters, percentage of rent burden, percentage of people using a food assistance program, percentage of uninsured individuals, mode of transportation to work, distance to the nearest transit stop, total road density, National Walkability Index, Index of Medical Underservice score, and aggregate cost of medical care.

Main Outcomes and Measures

Odds of presenting with vision worse than 20/40 or fovea-involving RRD using multivariable logistic regression adjusting for age, sex, race and ethnicity, and insurance.

Results

A total of 700 patients (mean [SD] age, 57.9 [12.4] years; 432 male [61.7%]) were included. Every decile increase in ADI, indicating more socioeconomic disadvantage, was associated with an increased odds of presenting with worse visual acuity and fovea-involving RRD (odds ratio [OR], 1.14; 95% CI, 1.04-1.24; P = .004 and OR, 1.13; 95% CI, 1.04-1.22; P = .005, respectively). Each $1000 increase in per capita income was associated with lower odds of presenting with worse vision (OR, 0.99; 95% CI, 0.98-0.99; P = .001). Every 1% increase in percentage of workers who drove to work was associated with an increased odds of presenting with worse vision and fovea-involving RRD (OR, 1.02; 95% CI, 1.01-1.03; P = .005 and OR, 1.01; 95% CI, 1.00-1.03; P = .04, respectively).

Conclusions and Relevance

Results of this cohort study suggest that patients with a residence in neighborhoods with more socioeconomic deprivation or a higher percentage of workers who drove to work were more likely to present with more severe RRD even after accounting for multiple individual-level characteristics. These findings support consideration of public policy changes to address the barriers faced by patients residing in certain neighborhoods who seek prompt surgical intervention for RRD to reduce health disparities in RRD outcomes.

Significance of Social Determinants of Health in Tumor Presentation, Hospital Readmission, and Overall Survival in Ocular Oncology

PURPOSE

To evaluate the association between social determinants of health (SDH) with presentation and outcomes in patients with ocular cancer.

METHODS

The National Cancer Database was queried for primary clinical tumor (cT) classifications of T1 to T4 N0M0 uveal melanoma, conjunctival melanoma, or retinoblastoma diagnosed between January 2006 and December 2017. Pearson χ2 analysis assessed differences in SDH-related characteristics between cancer cohorts. Binary logistic regression with adjusted odds ratios (aORs) and multivariate Cox proportional hazards ratios (HRs) with 95% confidence intervals (CIs) were performed.

DESIGN

Cross-sectional with a nationally representative sample.

RESULTS

Three thousand nine hundred sixty-eight uveal melanoma cases, 352 conjunctival melanoma cases, and 480 retinoblastoma cases were included. Differences in race, primary payer status, income quartile, population density, facility location, Charlson-Deyo comorbidity score, history of malignancy, cT classification at presentation, surgical treatment, radiotherapy, chemotherapy, 30-day readmission, and overall survival (OS) were observed among the cancers. Female sex (aOR 0.819 [95% CI 0.689-0.973]) and top income quartile (aOR 0.691 [95% CI 0.525-0.908]) had decreased likelihood of advanced cT classification at presentation. No insurance (aOR 1.736 [95% CI 1.159-2.601]) and Medicaid primary payer status (aOR 1.875 [95% CI 1.323-2.656]) had increased likelihood of advanced cT classification. Patients in rural areas (aOR 7.157 [95% CI 1.875-27.320]) were more likely to be readmitted within 30 days after initial treatment. Increased age was associated with decreased 5-year OS (HR 1.040 [95% CI 1.033-1.047]).

CONCLUSIONS

SDH may influence advanced cT classification at presentation and 30-day readmission compared with OS in patients with ocular cancer, highlighting the need for ophthalmologists and public health efforts to address disparities in SDH.

Insights Into Eye Care Accessibility: Geospatial Distribution of Eye Care Providers and Socioeconomic Factors by ZIP Code

Purpose

In the United States, the ZIP Code has long been used to collect geospatial data revealing disparities in social determinants of health. This cross-sectional study examines the distribution of eye care access in association with local socioeconomic factors at a ZIP Code level.

Methods

Data from the 2020 Centers of Medicare and Medicaid Services and American Community Survey were used to examine locations of 47,949 providers (17,631 ophthalmologists and 30,318 optometrists) and corresponding local socioeconomic variables (education, employment, and income). Multivariable zero-inflated negative binomial regression was used to model eye care provider count per capita in each ZIP Code area with socioeconomic factors as independent covariates.

Results

For every 1% increase in percentage of population over 25 years with a bachelor's degree or higher, the expected number of providers increases by 4.4% (incidence rate ratio [IRR] = 1.044; 95% confidence interval [CI], 1.041-1.046; P < 0.001). For every 1% increase in percentage unemployment, the expected number of providers decreases by 2.7% (IRR = 0.973; 95% CI, 0.964-0.983; P < 0.001). However, for every $1000 increase in median household income, the expected number of providers decreases by 1.6% (IRR = 0.984; 95% CI, 0.983-0.986; P < 0.001).

Conclusions

Disparities in access exist in areas of lower employment and educational attainment, as both have positive correlations with eye care provider access. Conversely, areas of greater median household income have lower access to providers.

Translational Relevance

This research contributes to a greater field studying social determinants of health and may inform public health strategies on allocation of providers to improve equitable access to vision care.

The Impact of Social Determinants of Health on Vision Loss From Cataracts and Cataract Surgery Utilization in the United States-A National Health Interview Survey Analysis

PURPOSE

To investigate the association of social determinants of health (SDOH) factors and cataract-related outcomes disparities.

DESIGN

Cross-sectional, with a nationally representative sample.

METHODS

We used publicly available data from the 2008, 2016, and 2017 National Health Interview Survey data sets. Outcome measures included self-reported prevalence for ever been diagnosed with cataract, vision loss secondary to cataracts, and the likelihood of undergoing cataract surgery. Survey-weighted, multivariable logistic regression models, adjusted for age, race and ethnicity, and other relevant covariates, were used to examine the association between SDOH factors and cataract-related outcomes.

RESULTS

A total of 81,551 participants were included, who were predominantly between 18 and 44 years of age (49.6%), female (51.7%), and White (74.8%). Multivariable regression models with age as a covariate showed that individuals who were not working were more likely to report having cataracts than those who were working (P < .001). Those who needed but could not afford medical care in the past year were more likely to report vision loss secondary to cataracts than their counterparts (P < .001). Uninsured participants were less likely to report undergoing cataract surgery than those with private insurance (P = .03). Individuals with higher income (poverty-income ratio: 1.00-2.99 vs <1.00) were more likely to report undergoing cataract surgery (P = .04).

CONCLUSIONS

Several SDOH factors were associated with disparities in rates of cataract-related outcomes. These findings highlight the importance of ophthalmologists screening for social risks in patients with cataract, as these social factors are important barriers for access to care.

Diversity, equity and inclusion in ophthalmology

PURPOSE OF REVIEW

Diversity, equity and inclusion (DEI) initiatives in ophthalmology have received increased attention in recent years. This review will highlight disparities, barriers to workforce diversity, as well as current and future efforts to improve DEI in ophthalmology.

RECENT FINDINGS

Racial, ethnic, socioeconomic and sex disparities exist in vision health and across many ophthalmology subspecialties. The pervasive disparities result from factors such as a lack of access to eye care. In addition, ophthalmology is one of the least diverse specialties at the resident and faculty level. The lack of diversity has also been documented in ophthalmology clinical trials, wherein participant demographics do not reflect the diversity of the U.S. population.

SUMMARY

Addressing social determinants of health including racism and discrimination is necessary to promote equity in vision health. Diversifying the workforce and expanding the representation of marginalized groups in clinical research are also paramount. Supporting existing programmes and creating new ones focusing on improving workforce diversity and reducing eye care disparities are essential to ensure equity in vision health for all Americans.

Social Risk Factor Associations With Presenting Visual Acuity in Patients With Microbial Keratitis

Importance

Neighborhood-level social risk factors may contribute to health disparities in microbial keratitis (MK) disease presentation. Understanding neighborhood-level factors may identify areas for revised health policies to address inequities that impact eye health.

Objective

To investigate if social risk factors were associated with presenting best-corrected visual acuity (BCVA) for patients with MK.

Design, Setting, and Participants

This was a cross-sectional study of patients with a diagnosis of MK. Patients presenting to the University of Michigan with a diagnosis of MK between August 1, 2012, and February 28, 2021, were included in the study. Patient data were obtained from the University of Michigan electronic health record.

Main Outcomes and Measures

Individual-level characteristics (age, self-reported sex, self-reported race and ethnicity), presenting log of the minimum angle of resolution (logMAR) BCVA, and neighborhood-level factors, including measures on deprivation, inequity, housing burden, and transportation at the census block group, were obtained. Univariate associations of presenting BCVA (< 20/40 vs ≥20/40) with individual-level characteristics were assessed with 2-sample t, Wilcoxon, and χ2 tests. Logistic regression was used to test associations of neighborhood-level characteristics with the probability of presenting BCVA worse than 20/40 after adjustment for patient demographics.

Results

A total of 2990 patients with MK were identified and included in the study. Patients had a mean (SD) age of 48.6 (21.3) years, and 1723 were female (57.6%). Patients self-identified with the following race and ethnicity categories: 132 Asian (4.5%), 228 Black (7.8%), 99 Hispanic (3.5%), 2763 non-Hispanic (96.5%), 2463 White (84.4%), and 95 other (3.3%; included any race not previously listed). Presenting BCVA had a median (IQR) value of 0.40 (0.10-1.48) logMAR units (Snellen equivalent, 20/50 [20/25-20/600]), and 1508 of 2798 patients (53.9%) presented with BCVA worse than 20/40. Patients presenting with logMAR BCVA less than 20/40 were older than those who presented with 20/40 or higher (mean difference, 14.7 years; 95% CI, 13.3-16.1; P < .001). Furthermore, a larger percentage of male vs female sex patients presented with logMAR BCVA less than 20/40 (difference, 5.2%; 95% CI, 1.5-8.9; P = .04), as well as Black race (difference, 25.7%; 95% CI, 15.0%-36.5%;P < .001) and White race (difference, 22.6%; 95% CI, 13.9%-31.3%; P < .001) vs Asian race, and non-Hispanic vs Hispanic ethnicity (difference, 14.6%; 95% CI, 4.5%-24.8%; P = .04). After adjusting for age, self-reported sex, and self-reported race and ethnicity, worse Area Deprivation Index (odds ratio [OR], 1.30 per 10-unit increase; 95% CI, 1.25-1.35; P < .001), increased segregation (OR, 1.44 per 0.1-unit increase in Theil H index; 95% CI, 1.30-1.61; P < .001), higher percentage of households with no car (OR, 1.25 per 1 percentage point increase; 95% CI, 1.12-1.40; P = .001), and lower average number of cars per household (OR, 1.56 per 1 less car; 95% CI, 1.21-2.02; P = .003) were associated with increased odds of presenting BCVA worse than 20/40.

Conclusion and Relevance

Findings of this cross-sectional study suggest that in a sample of patients with MK, patient characteristics and where they live were associated with disease severity at presentation. These findings may inform future research on social risk factors and patients with MK.

Current social determinants of health and social risk factors in conditions of the cornea: a scoping review

PURPOSE OF REVIEW

To achieve health equity in eye health and vision care, social determinants of health (SDoH) and the associated social risk factors must be addressed. To address SDoH and social risk factors in ophthalmology, they must first be identified. The purpose of this review was to determine the SDoH and social risk factors in conditions of the cornea that have most recently been explored.

RECENT FINDINGS

This review identified social risk factors associated with all five domains of SDoH, as outlined by Healthy People 2030. The neighborhood and built environment was the domain identified the most for both exploration and observation. The social and community context domain was the least explored, and healthcare access and quality and social and community context domains were the least observed. The cornea condition explored the most in relation to SDoH was dry eye syndrome.

SUMMARY

The findings from this review can inform clinicians on the social risk factors that could be screened for in eye care facilities, so patients can be connected with services to minimize the impact of social risk factors on cornea conditions. Furthermore, the findings have identified cornea conditions and domains of SDoH that are understudied which can be an area for future studies by vision researchers.

Addressing Social Determinants of Vision Health

Social determinants of health encompass the quality of an individual’s social and physical environment and its effect on health outcomes. Disparities in these social and environmental factors have a significant role in vision health disparities and inequity in eye care. In this review, we discuss how disparities in visual impairment and eye care utilization are affected by each of the five core domains of social determinants of health, namely economic stability (income, employment, and food security), education (education level and health literacy), health care access (insurance and medical costs), neighborhood environment (housing conditions, home ownership, pollution, and crime), and social context (race and racism). Moreover, we describe a framework by which ophthalmologists can take action to address social determinants of vision health. These actionable strategies are guided by recommendations from the National Academies of Sciences, Engineering, and Medicine and have five complementary components to address social needs: awareness (screening for social needs), assistance (connecting patients with social care resources), adjustment (altering clinical care in recognition of social needs), alignment (understanding social assets and collaborating with community organizations), and advocacy (promoting policies to address social needs). Addressing social determinants of health is complex but achievable through collaborative strategies. Ophthalmologists have an important leadership role in addressing eye care disparities by taking action on underlying social determinants of vision health.