A longitudinal study of the effects of age and time to death on hospital costs

J Health Econ. 2004 Mar;23(2):217-35. doi: 10.1016/j.jhealeco.2003.08.004.

Abstract

Recent studies indicate that approaching death, rather than age, may be the main demographic driver of health care costs. Using a 29-year longitudinal English dataset, this paper uses more robust methods to examine the effects of age and proximity to death on hospital costs. A random effects panel data two-part model shows that approaching death affects costs up to 15 years prior to death. The large tenfold increase in costs from 5 years prior to death to the last year of life overshadows the 30% increase in costs from age 65 to 85. Hence, expenditure projections must consider remaining life expectancy in the populations.

MeSH terms

  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Death Certificates
  • Death*
  • England
  • Female
  • Health Expenditures / statistics & numerical data
  • Hospital Costs / statistics & numerical data
  • Hospital Costs / trends*
  • Humans
  • Length of Stay / statistics & numerical data
  • Length of Stay / trends*
  • Life Tables*
  • Longitudinal Studies
  • Male
  • Models, Econometric
  • Probability
  • Terminal Care / economics
  • Terminal Care / statistics & numerical data
  • Time Factors
  • Wales