title: Cost-effectiveness of colorectal cancer screening in high-risk Spanish patients: use of a validated model to inform public policy.
abstract: BACKGROUND
  The European Community has made a commitment to colorectal cancer (CRC) screening, but regional considerations may affect the design of national screening programs. We developed a decision analytic model tailored to a pilot screening program for high-risk persons in Spain with the aim of informing public policy decisions.
  
  
  METHODS
  We constructed a decision analytic Markov model based on our validated model of CRC screening that reflected CRC epidemiology and costs in persons with first-degree relatives with CRC in Aragón, Spain, and superimposed colonoscopy every 5 or 10 years from ages 40 to 80 years. The pilot program's preliminary clinical results and our modeling results were presented to regional health authorities.
  
  
  RESULTS
  In the model, without screening, 88 CRC cases occurred per 1,000 persons from age 40 to 85 years. In the base case, screening reduced this by 72% to 77% and gained 0.12 discounted life years per person. Screening every 10 years was cost saving, and screening every 5 years versus every 10 years cost 7,250 euros per life year gained. Based on these savings, 36 to 39 euros per person per year could go toward operating costs while maintaining a neutral budget. If screening costs doubled, screening remained highly cost-effective but no longer cost saving. These results contributed to the health authorities' decision to expand the pilot program to the entire region in 2009.
  
  
  CONCLUSIONS
  Colonoscopic screening of first-degree relatives of persons with CRC may be cost saving in public systems like that of Spain. Decision analytic modeling tailored to regional considerations can inform public policy decisions.
  
  
  CONCLUSIONS
  Tailored decision analytic modeling can inform regional policy decisions on cancer screening.
authors.affiliation: Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Redwood City, CA 94063, USA. uri.ladabaum@stanford.edu
authors.forename: Uri
authors.initials: U
authors.lastname: Ladabaum
authors.forename: Angel
authors.initials: A
authors.lastname: Ferrandez
authors.forename: Angel
authors.initials: A
authors.lastname: Lanas
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003113:Colonoscopy / Q000191:economics*; D015179:Colorectal Neoplasms / Q000191:economics* / Q000517:prevention & control*; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D055088:Early Detection of Cancer / Q000191:economics* / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008390:Markov Chains; D008403:Mass Screening / Q000191:economics* / Q000379:methods; D008875:Middle Aged; D011640:Public Policy; D013030:Spain
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