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Original Article

Blindness and Visual Impairment in the Medicare Population: Disparities and Association with Hip Fracture and Neuropsychiatric Outcomes

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Pages 279-285 | Received 12 Feb 2019, Accepted 17 Apr 2019, Published online: 07 May 2019
 

ABSTRACT

Purpose: Vision loss has been associated with negative health outcomes, but population-level data on vision loss are lacking, and there are limited data on low vision-associated outcomes among women, minorities, and older age groups. The objective of this study was to determine the prevalence of vision loss in a nationally representative sample of older US adults and examine its association with hip fracture, depression, anxiety, and dementia.

Methods: Cross-sectional analysis of Medicare claims data from 2014. Blindness and low vision, hip fracture, depression, anxiety, and dementia were identified using Chronic Condition Warehouse indicator variables based on ICD-9 and CPT codes. Multivariable logistic regression models were built to examine whether sociodemographic factors were associated with vision loss and to determine the relationships between vision loss and hip fracture and neuropsychiatric outcomes.

Results: The prevalence of low vision in the Medicare population was 994/100,000 and increased significantly with age, Black (1,854/100,000) or Hispanic (2,862/100,000) race/ethnicity, female gender (1,181/100,000), and Medicaid eligibility (2,975/100,000). After adjusting for relevant comorbidities, low vision was significantly associated with hip fracture (adjusted odds ratio [AOR] 2.54, 95% CI: 2.52–2.57), depression (AOR 3.99, 95% CI: 3.97–4.01), anxiety (AOR 2.93, 95% CI: 2.91–2.95), and dementia (AOR 3.91, 95% CI: 3.88–3.93).

Conclusion: Blindness and low vision are common in older Americans, especially among racial and ethnic minorities and lower income individuals, and associated with hip fracture, depression, anxiety, and dementia. The prevention and treatment of vision loss may reduce health disparities and negative health outcomes in the aging population.

Financial Disclosures

No financial disclosures.

Previous publication/consideration

This work has not been previously published and is not currently under consideration at any other publication.

Other Acknowledgements

No other acknowledgments

Supplementary Material

Supplementary data for this article can be accessed here.

Additional information

Funding

This work was funded by several grants from the National Institutes of Health: NINDS T32 NS061779-10 (AGH), NEI K23EY025729-04 (BLV), NINDS R01NS099129-02 (AWW). The funding sources had no involvement in study design, analysis, interpretation, or reporting.

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