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Overcoming potential pitfalls in the use of Medicare data for epidemiologic research

Author

Listed:
  • Fisher, E.S.
  • Baron, J.A.
  • Malenka, D.J.
  • Barrett, J.
  • Bubolz, T.A.

Abstract

We used Medicare data bases and US Census data to address two questions critical to the use of Medicare files for epidemiologic research. First, we examined the degree to which the population enrolled in the Medicare program is similar to the elderly resident population of the United States, as estimated by the US Census. We found small differences in the total population estimates but substantial differences by age and race. Second, we found that among Medicare enrollees, physician claims identify a small proportion of hip fracture cases which are not documented in the hospital discharge files. This proportion varies by age, region, and state within the United States. Calculation of rates based on Medicare hospital discharge data, and probably other hospital discharge data sets as well, must take these limitations into account. Use of all available Medicare data files can overcome these limitations.

Suggested Citation

  • Fisher, E.S. & Baron, J.A. & Malenka, D.J. & Barrett, J. & Bubolz, T.A., 1990. "Overcoming potential pitfalls in the use of Medicare data for epidemiologic research," American Journal of Public Health, American Public Health Association, vol. 80(12), pages 1487-1490.
  • Handle: RePEc:aph:ajpbhl:1990:80:12:1487-1490_5
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    Cited by:

    1. Siobhan M Mor & Alfred DeMaria Jr. & Elena N Naumova, 2014. "Hospitalization Records as a Tool for Evaluating Performance of Food- and Water-Borne Disease Surveillance Systems: A Massachusetts Case Study," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    2. Theodore Iwashyna & James Zhang & Diane Lauderdale & Nicholas Christakis, 1998. "A methodology for identifying married couples in medicare data: Mortality, morbidity, and health care use among the married elderly," Demography, Springer;Population Association of America (PAA), vol. 35(4), pages 413-419, November.
    3. Julie Lee & Mark McClellan & Jonathan Skinner, 1999. "The Distributional Effects of Medicare," NBER Chapters, in: Tax Policy and the Economy, Volume 13, pages 85-108, National Bureau of Economic Research, Inc.
    4. Samuel, Laura J. & Glass, Thomas A. & Thorpe, Roland J. & Szanton, Sarah L. & Roth, David L., 2015. "Household and neighborhood conditions partially account for associations between education and physical capacity in the National Health and Aging Trends Study," Social Science & Medicine, Elsevier, vol. 128(C), pages 67-75.
    5. Jyotsna S. Jagai & Jeffrey K. Griffiths & Paul K. Kirshen & Patrick Webb & Elena N. Naumova, 2012. "Seasonal Patterns of Gastrointestinal Illness and Streamflow along the Ohio River," IJERPH, MDPI, vol. 9(5), pages 1-20, May.
    6. McClellan, Mark & Skinner, Jonathan, 2006. "The incidence of Medicare," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 257-276, January.

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