title: The cost-effectiveness of breast cancer screening.
abstract: The costs and effects of different invitation schedules of breast cancer screening are compared. The effect estimates are based on trials from the USA, Sweden and the Netherlands. The cost estimates use registration data, file studies and organization charts. The calculations were performed with the MISCAN computer simulation package, which is developed especially for the evaluation of mass screening programmes. Screening women of 50-70 years at 2-yearly intervals is a relatively cost-effective schedule. In a real population, it will reduce breast cancer mortality by 12%. Screening of women under 50 is probably far less cost-effective. Screening induces a considerable shift towards breast-conserving therapy. Although a 12% mortality reduction may seem low, in absolute numbers this represents more than the total mortality from, e.g., cervical cancer. Moreover, cost per death prevented or per life-year saved is much lower than for most other medical interventions for which cost-effectiveness ratios are known, screening for cervical cancer included.
authors.affiliation: Dept. of Public Health and Social Medicine, Erasmus Universiteit, Rotterdam, The Netherlands.
authors.forename: P J
authors.initials: PJ
authors.lastname: van der Maas
authors.forename: H J
authors.initials: HJ
authors.lastname: de Koning
authors.forename: B M
authors.initials: BM
authors.lastname: van Ineveld
authors.forename: G J
authors.initials: GJ
authors.lastname: van Oortmarssen
authors.forename: J D
authors.initials: JD
authors.lastname: Habbema
authors.forename: K T
authors.initials: KT
authors.lastname: Lubbe
authors.forename: A T
authors.initials: AT
authors.lastname: Geerts
authors.forename: H J
authors.initials: HJ
authors.lastname: Collette
authors.forename: A L
authors.initials: AL
authors.lastname: Verbeek
authors.forename: J H
authors.initials: JH
authors.lastname: Hendriks
mesh_terms: D000368:Aged; D001943:Breast Neoplasms / Q000191:economics* / Q000453:epidemiology / Q000401:mortality / Q000517:prevention & control; D003198:Computer Simulation; D003362:Cost-Benefit Analysis; D005260:Female; D006801:Humans; D008403:Mass Screening / Q000191:economics* / Q000379:methods; D008875:Middle Aged; D015233:Models, Statistical; D009426:Netherlands