Nursing home residence confounds gender differences in Medicare utilization an example of Simpson's paradox

Womens Health Issues. 2010 Mar-Apr;20(2):105-13. doi: 10.1016/j.whi.2009.11.016. Epub 2010 Feb 10.

Abstract

Background: Gender differences in health care utilization in older Americans may be confounded by nursing home residence. Medicare data contain several files that can be used to create a measure of nursing home residence, but prior work has not addressed which best account for potential confounding. Simpson's paradox occurs when aggregated data support a different conclusion from what the disaggregated data show. We describe such a paradox that appeared when we sharpened our definition of "nursing home residence" while examining gender differences in Medicare utilization at the end of life.

Methods: To understand gender-specific health care utilization at the end of life, we conducted a retrospective analysis of a national random sample of Medicare beneficiaries aged 66 or older who died in 2001 with Parts A and B data for 18 months before death. We sought to associate each of total hospital days and costs during the final 6 months of life with numbers of primary care physician visits in the 12 preceding months. In addition to demographics, comorbidities, and geography, "nursing home residence" was a potential confounder, which we imputed in two ways: 1) from skilled nursing facility bills in the Part A Medicare Provider Analysis and Review (MedPAR) file; and 2) from Berenson-Eggers-Type-of-Service codes indicating widely spaced doctor visits in nursing homes obtained from Medicare's carrier file.

Conclusion: Gender differences in Medicare utilization are strongly confounded by nursing home resident status, which can be imputed well from Medicare's carrier file, but not MedPAR.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Confounding Factors, Epidemiologic
  • Eligibility Determination / economics
  • Female
  • Health Expenditures
  • Humans
  • Male
  • Medicare / statistics & numerical data*
  • Models, Statistical
  • Nursing Homes / economics*
  • Quality of Health Care
  • Reimbursement Mechanisms / economics
  • Retrospective Studies
  • Sex Distribution
  • Terminal Care / economics*
  • Terminal Care / statistics & numerical data
  • Terminally Ill / statistics & numerical data*
  • United States