title: Prediction of costs, effectiveness, and disease control of a population-based program using home sampling for diagnosis of urogenital Chlamydia trachomatis Infections.
abstract: OBJECTIVE
  To estimate the incremental effects and costs of a home sampling screening approach for Chlamydia trachomatis over the current in-office screening practice in Denmark.
  
  
  OBJECTIVE
  To assess the effect of a new screening strategy.
  
  
  METHODS
  A dynamic Monte Carlo model estimated prevalence and incidence over 10 years for a home sampling screening program and the current in-office screening. Subsequently, the incremental number of major outcomes averted (MOA) and the related direct and indirect costs were estimated.
  
  
  RESULTS
  Infection prevalence after 10 years was 1.0% with a home sampling program and 4.2% with the current in-office screening practice. The total costs per MOA reached 3186 US dollars during the first year of the home sampling strategy, but in year 4, the accumulated indirect costs offset the direct costs, and the program henceforth saved society costs.
  
  
  CONCLUSIONS
  Home sampling should be considered a relevant alternative to the current practice of in-office screening.
authors.affiliation: Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark. ba@alm.au.dk
authors.forename: Berit
authors.initials: B
authors.lastname: Andersen
authors.forename: Jens
authors.initials: J
authors.lastname: Gundgaard
authors.forename: Mirjam
authors.initials: M
authors.lastname: Kretzschmar
authors.forename: Jens
authors.initials: J
authors.lastname: Olsen
authors.forename: Robert
authors.initials: R
authors.lastname: Welte
authors.forename: Lars
authors.initials: L
authors.lastname: Oster-Gaard
mesh_terms: D000293:Adolescent; D000328:Adult; D002690:Chlamydia Infections / Q000175:diagnosis* / Q000453:epidemiology* / Q000517:prevention & control; D002692:Chlamydia trachomatis; D003362:Cost-Benefit Analysis; D003663:Decision Trees; D003718:Denmark / Q000453:epidemiology; D005260:Female; D005544:Forecasting; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D015994:Incidence; D008297:Male; D008403:Mass Screening / Q000191:economics* / Q000379:methods; D009010:Monte Carlo Method; D009819:Office Visits / Q000191:economics; D017063:Outcome Assessment, Health Care; D015995:Prevalence; D012648:Self Care / Q000191:economics; D013048:Specimen Handling