title: The relationships among age, chronic conditions, and healthcare costs.
abstract: OBJECTIVE
  To learn how age and chronic illness affect costs in the Veterans Affairs healthcare system.
  
  
  METHODS
  Veterans Affairs patients 65 years or older were identified from administrative data. We noted their healthcare utilization, cost, and diagnosis of any of 29 common chronic conditions (CCs). We examined how those 80 years or older differed from the younger patients.
  
  
  RESULTS
  The Department of Veterans Affairs spent dollars 8.5 billion to treat 1.6 million older patients in fiscal year 2000. Age was less important than chronic illness in explaining cost differences. The oldest patients incurred a mean of dollars 1295 greater costs than the younger patients, primarily because they were more likely to have a high-cost CC. The oldest patients incurred higher total costs than the younger patients in only 14 of 29 groups defined by CC. Long-term care accounted for most of the extra cost of the oldest patients. When this cost was excluded, the oldest patients incurred only dollars 266 more cost than the younger patients.
  
  
  CONCLUSIONS
  Growth in the population of the oldest patients will increase the number of individuals with CCs requiring long-term care. With its limited long-term care benefit, Medicare will avoid much of this financial consequence. In contrast, the financial risk of acute and long-term care gives the Department of Veterans Affairs an incentive to develop strategies to prevent CCs associated with long-term care.
authors.affiliation: Health Economics Resource Center, VA Palo Alto Health Care System, Menlo Park, CA 94025, USA. wyu2@stanford.edu
authors.forename: Wei
authors.initials: W
authors.lastname: Yu
authors.forename: Arliene
authors.initials: A
authors.lastname: Ravelo
authors.forename: Todd H
authors.initials: TH
authors.lastname: Wagner
authors.forename: Paul G
authors.initials: PG
authors.lastname: Barnett
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000553:Ambulatory Care / Q000191:economics / Q000706:statistics & numerical data; D002908:Chronic Disease / Q000145:classification / Q000191:economics* / Q000453:epidemiology / Q000628:therapy; D015897:Comorbidity; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006301:Health Services Needs and Demand / Q000191:economics* / Q000706:statistics & numerical data / Q000639:trends; D006787:Hospitals, Veterans / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D047869:Korean War; D008134:Long-Term Care / Q000191:economics / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology; D014493:United States Department of Veterans Affairs / Q000191:economics*; D014728:Veterans / Q000145:classification* / Q000706:statistics & numerical data; D047789:World War II