title: Seriously ill hospitalized adults: do we spend less on older patients? Support Investigators. Study to Understand Prognoses and Preference for Outcomes and Risks of Treatments.
abstract: OBJECTIVE
  To determine the effect of age on hospital resource use for seriously ill adults, and to explore whether age-related differences in resource use are explained by patients' severity of illness and preferences for life-extending care.
  
  
  METHODS
  Prospective cohort study.
  
  
  METHODS
  Five geographically diverse academic acute care medical centers participating in the SUPPORT Project.
  
  
  METHODS
  A total of 4301 hospitalized adults with at least one of nine serious illnesses associated with an average 6-month mortality of 50%.
  
  
  METHODS
  Resource utilization was measured using a modified version of the Therapeutic Intervention Scoring System (TISS); the performance of three invasive procedures (major surgery, dialysis, and right heart catheter placement); and estimated hospital costs.
  
  
  RESULTS
  The median patient age was 65; 43% were female, and 48% died within 6 months. After adjustment for severity of illness, prior functional status, and study site, when compared with patients younger than 50, patients 80 years or older were less likely to undergo major surgery (adjusted odds ratio .46), dialysis (.19), and right heart catheter placement (.59) and had median TISS scores and estimated hospital costs that were 3.4 points and $ 71.61 lower, respectively. These differences persisted after further adjustment for patients' preferences for life-extending care.
  
  
  CONCLUSIONS
  Compared with similar younger patients, seriously ill older patients receive fewer invasive procedures and hospital care that is less resource-intensive and less costly. This preferential allocation of hospital services to younger patients is not based on differences in patients' severity of illness or general preferences for life-extending care.
authors.affiliation: Beth Israel Hospital, Boston, MA 02215, USA.
authors.forename: M B
authors.initials: MB
authors.lastname: Hamel
authors.forename: R S
authors.initials: RS
authors.lastname: Phillips
authors.forename: J M
authors.initials: JM
authors.lastname: Teno
authors.forename: J
authors.initials: J
authors.lastname: Lynn
authors.forename: A N
authors.initials: AN
authors.lastname: Galanos
authors.forename: R B
authors.initials: RB
authors.lastname: Davis
authors.forename: A F
authors.initials: AF
authors.lastname: Connors
authors.forename: R K
authors.initials: RK
authors.lastname: Oye
authors.forename: N
authors.initials: N
authors.lastname: Desbiens
authors.forename: D J
authors.initials: DJ
authors.lastname: Reding
authors.forename: L
authors.initials: L
authors.lastname: Goldman
mesh_terms: D000046:Academic Medical Centers; D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D006328:Cardiac Catheterization / Q000191:economics; D005260:Female; D006302:Health Services Research; D017721:Hospital Costs; D006760:Hospitalization / Q000191:economics*; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D008020:Life Support Care; D008297:Male; D008875:Middle Aged; D018579:Patient Selection; D011446:Prospective Studies; D006435:Renal Dialysis / Q000191:economics; D040841:Resource Allocation; D012720:Severity of Illness Index; D013514:Surgical Procedures, Operative / Q000191:economics; D014481:United States