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Healthcare Access and Utilization Among Glaucoma Patients in a Nationwide Cohort
Arash Delavar1,2, Bharanidharan Radha Saseendrakumar1,2, Robert N Weinreb1,3
1Division of Ophthalmology Informatics and Data Science.
Prcis:
Despite having lower socioeconomic status on several measures, glaucoma patients do not report more barriers to healthcare access and utilization than non-glaucoma patients.
Purpose:
To characterize measures of socioeconomic status and barriers to healthcare access and utilization between patients with and without a diagnosis of glaucoma.
Methods:
Patients aged 65 years and over who enrolled in the NIH All of Us Research Program, a nationwide longitudinal cohort, were extracted. We analyzed demographic information and several measures of socioeconomic status and healthcare access and utilization. Survey responses were compared by glaucoma status (any type) with Pearson χ 2 tests, univariable logistic regression, and multivariable logistic regression adjusting for age, gender, race/ethnicity, and insurance status.
Results:
Of the 49,487 patients who answered at least 1 question on the All of Us Healthcare Access and Utilization Survey, 4441 (9.0%) had a diagnosis of glaucoma. Majority of the cohort was female (28,162, 56.9%) and nonHispanic White (42,008, 84.9%). Glaucoma patients were observed to have lower rates of education ( P =0.004), employment ( P <0.001), and home ownership ( P <0.001) on χ 2 tests. On multivariable logistic regression models, those with glaucoma were significantly more likely to speak to an eye doctor (Odds ratio: 2.46; 95% confidence interval: 2.16 to 2.81) and significantly less likely to have trouble affording eyeglasses (OR: 0.85 95% CI: 0.72 to 0.99) in the prior year than those without a diagnosis of glaucoma. No significant association was found for other measures of healthcare access and utilization by glaucoma status.
Conclusion:
Although glaucoma patients aged 65 years and over fared worse on several measures of socioeconomic status, no significant difference was found in measures of healthcare access and utilization.
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