title: Estimating the cost of cancer: results on the basis of claims data analyses for cancer patients diagnosed with seven types of cancer during 1999 to 2000.
abstract: OBJECTIVE
  Cancer accounts for 60.9 billion dollars in direct medical costs and 15.5 billion dollars for indirect morbidity costs. These estimates are derived primarily from national surveys or Federal databases. We derive estimates of the costs of cancer using administrative databases, which include claims and employment-related information on individuals insured by private or Medicare supplemental health plans.
  
  
  METHODS
  A retrospective matched-cohort control analysis was performed using 1998 to 2000 databases with information on insurance claims, benefits, and health productivity for 3 million privately insured employees, their dependents, and early retirees. Study patients had new diagnoses of one of seven types of cancer (n = 12,709). Controls without cancer were matched at a 3:1 ratio by demographics. A variable follow-up length was used (maximum of 2 years). Direct costs included health care costs for patients and deductibles and copayments for caregivers. Indirect costs of work absence and short-term disability (STD) were calculated for a subgroup of cancer patients and caregivers.
  
  
  RESULTS
  Mean monthly health care costs ranged from 2,187 dollars for prostate cancer to 7,616 dollars for pancreatic cancer, most often driven by hospitalization. Costs for controls were 329 dollars per month. Indirect morbidity costs to employees with cancer averaged 945 dollars, a result of a mean monthly loss of 2.0 workdays and 5.0 STD days.
  
  
  CONCLUSIONS
  The economic burden of cancer is substantial. It is feasible to derive tumor-specific estimates of direct and indirect costs for large numbers of cancer patients using administrative databases. Policy makers charged with providing annual cost-of-cancer estimates should incorporate data obtained from a broad range of sources.
authors.affiliation: Medstat Inc, Washington, DC 20008, USA. stella.chang@thomson.com
authors.forename: Stella
authors.initials: S
authors.lastname: Chang
authors.forename: Stacey R
authors.initials: SR
authors.lastname: Long
authors.forename: Lucie
authors.initials: L
authors.lastname: Kutikova
authors.forename: Lee
authors.initials: L
authors.lastname: Bowman
authors.forename: Denise
authors.initials: D
authors.lastname: Finley
authors.forename: William H
authors.initials: WH
authors.lastname: Crown
authors.forename: Charles L
authors.initials: CL
authors.lastname: Bennett
mesh_terms: D000368:Aged; D015331:Cohort Studies; D017281:Cost of Illness; D019992:Databases as Topic; D005260:Female; D017048:Health Care Costs; D006801:Humans; D007348:Insurance, Health; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000191:economics*; D012189:Retrospective Studies