June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Big data visualizations of disparities in US cataract surgery delivery
Author Affiliations & Notes
  • Aaron Y Lee
    Ophthalmology, University of British Columbia, Vancouver, BC, Canada
  • Cecilia S Lee
    Department of Ophthalmology, University of Washington, Seattle, WA
  • Footnotes
    Commercial Relationships Aaron Lee, None; Cecilia Lee, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 1399. doi:
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      Aaron Y Lee, Cecilia S Lee; Big data visualizations of disparities in US cataract surgery delivery. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):1399.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

To analyze the pattern in cataract care delivery at the national level by combining the US Census and Centers for Medicare & Medicaid Services (CMS) Medicare Provider Utilization and Payment data.

 
Methods
 

Cross-sectional study based on two publicly available sources: CMS Medicare Provider Data (https://data.cms.gov) and 2010 data from the United States Census Bureau. All analyses were performed with Python, PostGIS, and R. Reverse geocoding was performed on all addresses from the Medicare dataset. A hexagon layer was created to normalize the US Census data. The expected number of cataract extractions (CE) in one year by decade of life were extrapolated using a Gaussian Process model (Erie et al., 2007). A general linear regression model was used to compare differences among US regions.

 
Results
 

There were 2.2 million Medicare patients who underwent CE in 2012. The expected number of CE and distance to nearest cataract surgeon are shown in Figure 1A,B. There were 1901 expected cataracts more than 100 miles from the nearest cataract surgeon, and a rank order of these states were calculated (Figure 2A). A 50 mile average was calculated for expected number of CE versus observed number of CE, split by US economic regions (Figure 2B). A ratio between these two values was significantly different among US regions (p < 2.2e-16) and was used to create a choropleth of cataract surgery disparity (Figure 1C).

 
Conclusions
 

There is a significant discrepancy in cataract delivery across the country based on geographic and economic regions. Publicly available Medicare datasets are valuable tools that can delineate public access and utilization patterns in the US healthcare system.  

 
Figure 1: A: Choropleth of the continental US shaded by expected number of cataract extraction (CE). Darker blue areas represent higher density of CE. B: Lines drawn from each area to the nearest cataract surgeon shaded by expected number of CE. Each red dot represents one surgeon. C: Choropleth of the ratio between the 50 mile summed observed CE and the expected number of CE with more intense blue areas having more surgeries performed than expected and red areas having fewer surgeries performed than expected.
 
Figure 1: A: Choropleth of the continental US shaded by expected number of cataract extraction (CE). Darker blue areas represent higher density of CE. B: Lines drawn from each area to the nearest cataract surgeon shaded by expected number of CE. Each red dot represents one surgeon. C: Choropleth of the ratio between the 50 mile summed observed CE and the expected number of CE with more intense blue areas having more surgeries performed than expected and red areas having fewer surgeries performed than expected.
 
 
Figure 2: A: Boxplot of expected number of cataract surgeries that were greater than 100 miles from the nearest cataract surgeon by state. B: Scatterplot of 50 mile summed observed and expected number of cataract surgeries colored by US economic region.
 
Figure 2: A: Boxplot of expected number of cataract surgeries that were greater than 100 miles from the nearest cataract surgeon by state. B: Scatterplot of 50 mile summed observed and expected number of cataract surgeries colored by US economic region.

 
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