March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
Influence of Demographic Characteristics on Eye Care Expenditures: Data from the Medical Expenditure Panel Survey 2007
Author Affiliations & Notes
  • Cristina A. Fernandez
    Epidemiology and Public Health, Univ of Miami Miller School of Med, Miami, Florida
  • Anat Galor
    Bascom Palmer Eye Institute, Miami, Florida
  • Dandan D. Zheng
    Epidemiology and Public Health, Univ of Miami Miller School of Med, Miami, Florida
  • Kristopher L. Arheart
    Epidemiology & Public Health, Univ of Miami Miller Sch of Med, Miami, Florida
  • Byron L. Lam
    Ophthalmology,
    Bascom Palmer Eye Institute, Miami, Florida
  • Kathryn McCollister
    Epidemiology and Public Health, Univ of Miami Miller School of Med, Miami, Florida
  • Manuel A. Ocasio
    Epidemiology & Public Health, University of Miami, Miami, Florida
  • David J. Lee
    Epidemiology & Public Health, University of Miami, Miami, Florida
  • Footnotes
    Commercial Relationships  Cristina A. Fernandez, None; Anat Galor, None; Dandan D. Zheng, None; Kristopher L. Arheart, None; Byron L. Lam, None; Kathryn McCollister, None; Manuel A. Ocasio, None; David J. Lee, None
  • Footnotes
    Support  R21 EY019096
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 1431. doi:
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      Cristina A. Fernandez, Anat Galor, Dandan D. Zheng, Kristopher L. Arheart, Byron L. Lam, Kathryn McCollister, Manuel A. Ocasio, David J. Lee; Influence of Demographic Characteristics on Eye Care Expenditures: Data from the Medical Expenditure Panel Survey 2007. Invest. Ophthalmol. Vis. Sci. 2012;53(14):1431.

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Abstract
 
Purpose:
 

To evaluate the association of demographic factors and eye care expenditures and to assess the burden of ocular expenditures as compared to total health care expenditures.

 
Methods:
 

Setting: Retrospective analysis of ocular expenditures in participants of the 2007 Medical Expenditure Panel Survey, a nationally representative subsample of the National Health Interview Survey. Patient population: Data from 20,620 unique participants age >18 years. Main outcome measure: Eye care expenditures by demographic characteristics.

 
Results:
 

Twenty-two percent of the studied population had eye care expenditures in 2007. Demographic factors significantly associated with the probability of having eye care expenditures included older age (65+ years, 34% vs. 45-64 years, 22% vs. <45 years, 16%), female gender (females, 27% vs. males, 19%), higher educational attainment [greater than high school (HS) education, 28% vs. less than HS education, 19%], having insurance (private, 29% vs. uninsured, 16%), and visual impairment (mild, 26% vs. none, 17%). Older age, female gender, and the presence of insurance were also significantly associated with the probability of having medical expenditures. In those with eye care expenditures, the mean ratio between eye care and total medical expenditures was 3%.

 
Conclusions:
 

Demographic factors affect the probability of having ocular expenditures. Of all factors examined, insurance status has the most potential for modification. We postulate that the lower eye and medical care expenditures in patients without insurance are mainly due to access issues. Health care reform has the potential of improving access and utilization by increasing the number of individuals covered.

 
Keywords: clinical (human) or epidemiologic studies: health care delivery/economics/manpower • clinical (human) or epidemiologic studies: biostatistics/epidemiology methodology 
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