Halawa OA, Jin Q, Pasquale LR, Kang JH, Lorch AC, Sobrin L, Miller JW, Li Y, Eslami M, Wang M, Zebardast N, Elze T.
Race and Ethnicity Differences in Disease Severity and Visual Field Progression Among Glaucoma Patients. Am J Ophthalmol 2022;242:69-76.
AbstractPURPOSE: Investigate associations of race/ethnicity and preferred language with baseline glaucoma severity, VF test frequency and disease progression. DESIGN: Retrospective cohort study. METHODS: Patients receiving VF testing at a tertiary eyecare center between 1998 and 2020 with self-identified race, ethnicity and preferred language were included. Outcome measures were VF MD and age at first visit, VF test frequency, VF MD progression. RESULTS: Among 29,891 patients with VF measurements between 1998 and 2020, 55.1% were female, 71.0% self-identified as White/Caucasian, 14.0% as Black/African American, 7.4% as Asian and 6.4% as Hispanic, and 11.2% preferred a language other than English. Mean VF MD at presentation was worse among Black (-9.3±9.7 dB), Asian (-6.2±7.6 dB) and Hispanic (-8.3±9.3 dB) patients (vs. Whites [-5.5±7.3 dB, p<0.001] or non-Hispanics [-6.2±7.8 dB, p<0.001]). After controlling for age, gender and English proficiency, disparities in glaucoma severity at presentation were reduced, especially among Asian and Hispanic patients. Despite greater severity at presentation, Black patients had lower VF test frequency/person-years (1.07±0.53) compared to Whites (1.12±0.52, p=0.006) and worse VF MD progression (-0.43 dB/year, 95% CI -0.67 to -0.28, p<0.001). In contrast, Hispanics had a higher VF frequency vs. non-Hispanics (1.18±0.64 vs. 1.11±0.52, p<0.001), and no difference in VF progression (p=0.77). CONCLUSIONS: Black, Asian and Hispanic patients had greater baseline severity vs. Whites. Unlike other groups, Black patients had a lower VF frequency vs. Whites and greater VF progression. Disparities in baseline severity were partially explained by English proficiency, especially for Asian and Hispanic patients.
Halawa OA, Kolli A, Oh G, Mitchell WG, Glynn RJ, Kim DH, Friedman DS, Zebardast N.
Racial and Socioeconomic Differences in Eye Care Utilization among Medicare Beneficiaries with Glaucoma. Ophthalmology 2022;129(4):397-405.
AbstractPURPOSE: Evaluate differences in eye care utilization among patients with glaucoma by race and socioeconomic status (SES). DESIGN: Retrospective cohort study. PARTICIPANTS: Representative 5% sample of Medicare beneficiaries aged > 65 years with continuous part A/B enrollment between January 1, 2014, and July 1, 2014, at least 1 diagnosis code for glaucoma within that period, and a glaucoma diagnosis in the Chronic Conditions Warehouse before January 1, 2014. METHODS: The following race/ethnicity categories were defined in our cohort: non-Hispanic White, Black/African American, Hispanic, and Asian/Pacific Islander. Low SES was defined as having 2 or more enrollment-based low-income indicators (dual eligibility for Medicare/Medicaid, Part D limited income subsidies, and eligibility for Part A and B State buy-in). Negative binomial regression analyses were carried out to compare relative rate ratios (RRs) of eye care utilization among racial groups stratified by low and non-low SES. MAIN OUTCOME MEASURES: Measured from July 1, 2014, to December 31, 2016: eye examinations and eye care-related office visits; eye care-related inpatient and emergency department (ED) encounters; eye care-related nursing home and home-visit encounters; visual field and retinal nerve fiber OCT tests; glaucoma lasers and surgeries. RESULTS: Among 78 526 participants with glaucoma, mean age was 79.1 years (standard deviation, 7.9 years), 60.9% were female, 78.4% were non-Hispanic White, and 13.8% met enrollment-based criteria for low-SES. Compared with White beneficiaries, Blacks had lower counts of outpatient visits (RR, 0.92; 95% confidence interval [CI], 0.90-0.93), visual field (VF) tests (RR, 0.92; 95% CI, 0.90-0.94), but more inpatient/ED encounters (RR, 2.42; 95% CI, 1.55-3.78) and surgeries (RR, 1.14; 95% CI, 1.03-1.27). Hispanics had fewer outpatient visits (RR, 0.97; 95% CI, 0.95-0.98) and retinal nerve fiber layer (RNFL) OCT tests (RR, 0.89; 95% CI, 0.86-0.93), but more inpatient/ED encounters (RR, 2.32; 95% CI, 1.18-4.57) and selective laser trabeculoplasty (SLT) (RR, 1.25; 95% CI, 1.11-1.42) versus non-Hispanic Whites. In the non-low SES group, Black versus White disparities persisted in outpatient visits (RR, 0.93; 95% CI, 0.92-0.95), VF (RR, 0.96; 95% CI, 0.94-0.98), RNFL OCT (RR, 0.81; 95% CI, 0.78-0.83), and inpatient/ED encounters (RR, 2.57; 95% CI, 1.55-4.26). CONCLUSIONS: Disparities were found in eye care utilization among Black and Hispanic patients with glaucoma. These differences persisted among Blacks after stratification by SES, suggesting that systemic racism may be an independent driver in this population.
Hark LA, Lin WV, Hirji S, Gorroochurn P, Horowitz JD, Diamond DF, Park L, Wang Q, Auran JD, Maruri SC, Henriquez DR, Sharma T, Valenzuela I, Liebmann JM, Cioffi GA, Friedman DS, Harizman N.
Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology. Curr Eye Res 2024;49(2):197-206.
AbstractPURPOSE: The Manhattan Vision Screening and Follow-up Study aims to provide access to eye care for underserved populations, detect native rates of ocular pathology, and refer participants with eye disease to ophthalmology. This subanalysis describes the reasons for referral to ophthalmology and identifies risk factors associated with being referred. METHODS: Enrolled participants were aged ≥40 years, living independently in public housing developments and able to provide consent for eye health screenings. Those with habitual visual acuity 20/40 or worse, intraocular pressure (IOP) 23-29 mmHg, or an unreadable fundus image failed and were scheduled with the on-site optometrist. The optometric exam determined whether further referral to ophthalmology for a clinic exam was warranted. Those with an abnormal image or IOP ≥30 mmHg were referred directly to ophthalmology. Main outcome was factors associated with referral to ophthalmology. RESULTS: A total of 708 individuals completed the eye health screening over 15 months. A total of 468 participants were referred to ophthalmology (250 had an abnormal image and 218 were referred by the optometrist). Those referred were predominantly older adults (mean age 70.0 ± 11.4 years), female (66.7%), African American (55.1%) and Hispanic (39.5%). Seventy percent of participants had not had a recent eye exam. Stepwise multivariate logistic regression analysis showed that participants with pre-existing glaucoma (OR 3.14, 95% CI 1.62 to 6.08, p = 0.001), an IOP ≥23 mmHg (OR 5.04, 95% 1.91 to 13.28, p = 0.001), or vision impairment (mild) (OR 2.51, 95% CI 1.68 to 3.77, p = 0.001) had significantly higher odds of being referred to ophthalmology. CONCLUSION: This targeted community-based study in Upper Manhattan provided access to eye care and detected a significant amount of ocular pathology requiring referral to ophthalmology in this high-risk population.
Hark LA, Horowitz JD, Gorroochurn P, Park L, Wang Q, Diamond DF, Harizman N, Auran JD, Maruri SC, Henriquez DR, Carrion J, Muhire RMS, Kresch YS, Pizzi LT, Jutkowitz E, Sapru S, Sharma T, De Moraes GC, Friedman DS, Liebmann JM, Cioffi GA.
Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): Baseline Results and Costs of a Cluster-Randomized Trial. Am J Ophthalmol 2023;
AbstractPURPOSE: To describe the 15-month baseline results and costs of the Manhattan Vision Screening and Follow-up Study, which aims to investigate whether innovative community-based eye health screening can improve early detection and management of glaucoma and other eye diseases among high-risk populations. DESIGN: 5-year prospective, cluster-randomized controlled trial. METHODS: Individuals age 40+ were recruited from public housing buildings in New York City for an eye health screening (visual acuity (VA) with correction, intraocular pressure measurements (IOP), and fundus photography). Participants with VA 20/40 or worse, IOP 23-29 mmHg, or an unreadable fundus image failed the screening and were scheduled for an optometric exam at the same location; those with an abnormal image were referred to ophthalmology. A cost analysis was conducted alongside the study. RESULTS: 708 participants were screened; mean age 68.6±11.9 years, female (65.1%), African American (51.8%) and Hispanic (42%). 78.4% (n = 555) failed the eye health screening; 35% (n= 250) had an abnormal image and were also referred to ophthalmology. 308 participants attended the optometric exam; 218 were referred to ophthalmology. Overall, 66.1% were referred to ophthalmology. The cost per participant to deliver the eye health screening and optometric exam was $180.88. The cost per case of eye disease detected was $273.64. CONCLUSIONS: This innovative study in public housing developments targeted high-risk populations, provided access to eye-care, and improved early detection of ocular diseases in New York City. The study has identified strategies to overcoming barriers to eye care to reduce eye health disparities.
Hu A, Gu SZ, Friedman DS, Cao K, Wang N.
Six-Year Incidence and Causes of Low Vision and Blindness in a Rural Chinese Adult Population: The Handan Eye Study. Ophthalmic Epidemiol 2021;28(2):160-168.
AbstractPURPOSE: To determine the six-year incidence, risk factors, and causes of visual impairment in a Chinese population. METHODS: This was a population-based study of eye disease in Chinese adults in a rural district of Handan in China. 6,830 individuals were invited to participate in 2006 and 5,394 returned for follow-up in 2012. All participants underwent standardized eye examinations. Visual impairment was defined according to WHO criteria. The incidence of visual impairment was age- and gender-standardized to the 2010 China Census. Multivariable logistic regression analysis was used to determine risk factors for visual impairment. RESULTS: The leading causes of visual impairment were cataract and refractive error. Based on (PVA), the six-year incidence rates of low vision and blindness were 5.2% and 0.5%, respectively. Incidence of low vision was associated with older age ( < .001), less education ( < .001), diabetes ( < .05), and lower BMI ( < .001). The incidence of blindness was associated with diabetes ( < .05). Based on (BCVA), the six-year incidence rates of low vision and blindness were 0.8% and 0.1%, respectively. Incidence of low vision was associated with older age ( < .001) and lower BMI ( < .05). None of these factors were associated with the incidence of blindness. CONCLUSION: In Handan, the incidence of visual impairment was high and associated with older age, less education, diabetes, and lower BMI. The majority of cases were due to unoperated cataract and uncorrected refractive error, reflecting the need for improved eye care in this region.