title: Risk indicators for hospitalization during the last year of life.
abstract: OBJECTIVE
  High levels of hospital expenditures for older people during their last year of life are widely documented. However, evidence of the association between prospectively measured indicators and subsequent hospitalization is sparse. This article investigates the pattern of hospitalization for a sample of Medicare enrollees during their last year of life.
  
  
  METHODS
  Data from the Longitudinal Study of Aging, a national study of persons age 70 and older, are used. Only data on decedents are used.
  
  
  METHODS
  We determine individual characteristics (including functional status, evidence of disease, living arrangement, and prior hospitalization) shortly before the last year of life. A distinction is made between terminal and nonterminal admissions. National estimates and regression analyses using survey weights are conducted.
  
  
  RESULTS
  The likelihood of any use is high regardless of age, functional status, or the presence of major diseases. Although only a few indicators are associated with having a terminal stay, a number of indicators are associated with nonterminal use. Nonterminal stays and total nights hospitalized are positively associated with prior evidence of disease, prior hospitalization, and age, although the probability of nonterminal use decreases with age for persons over 82 years old. The relationship between use and functional status depends on whether persons lived alone, were institutionalized, or had private health insurance.
  
  
  CONCLUSIONS
  This study demonstrates that while it is difficult to predict who will be admitted to the hospital at the time of death, a number of characteristics existing before the last year of life are associated with nonterminal hospitalization and total nights hospitalized during the last year of life.
authors.affiliation: Department of Health Policy and Administration, University of North Carolina, Chapel Hill 27599-7400, USA.
authors.forename: S C
authors.initials: SC
authors.lastname: Stearns
authors.forename: M G
authors.initials: MG
authors.lastname: Kovar
authors.forename: K
authors.initials: K
authors.lastname: Hayes
authors.forename: G G
authors.initials: GG
authors.lastname: Koch
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D015577:Geriatric Assessment; D006305:Health Status Indicators; D006760:Hospitalization / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D011237:Predictive Value of Tests; D012307:Risk Factors; D011795:Surveys and Questionnaires; D013727:Terminal Care; D014481:United States