title: Linking evidence from health technology assessments to policy and decision making: the Alberta model.
abstract: OBJECTIVE
  The objective of this study was to develop and implement a decision-making process for public funding of health services that links policy areas with health technology assessment and input from interested parties.
  
  
  METHODS
  Health authorities, assessment organizations, and healthcare professionals were consulted as a follow-up to recommendations of an expert panel established by the Alberta government. The methods involved formulation of an eight-stage, collaborative process that incorporates identification through the health ministry of health technologies requiring review, assessment of the technologies using expert groups in Alberta, and consultation and formulation of advice within the ministry to inform ministerial funding decisions.
  
  
  RESULTS
  All components of the decision process have been put in place and have collaborated to provide advice to inform policy on provincial health services. Of nineteen technologies selected for review, five have been completed and decisions made: laparoscopic adjustable gastric banding, fetal fibronectin assay for premature labor, newborn screening for cystic fibrosis, newborn screening for inborn errors of metabolism, and gastric electrical stimulation. A further six reviews are in progress, and reviews of the remaining technologies are planned for 2007.
  
  
  CONCLUSIONS
  Bridging the evidence-to-policy gap is more likely to succeed when the policy community is actively engaged and an explicit model is used to put health technology assessment into practice.
authors.affiliation: Alberta Health and Wellness, Edmonton, Canada. henry.borowski@gov.ab.ca
authors.forename: Henry Z
authors.initials: HZ
authors.lastname: Borowski
authors.forename: Jon
authors.initials: J
authors.lastname: Brehaut
authors.forename: David
authors.initials: D
authors.lastname: Hailey
mesh_terms: D000416:Alberta; D003657:Decision Making; D019317:Evidence-Based Medicine; D005380:Financing, Government; D008962:Models, Theoretical; D011050:Policy Making; D013673:Technology Assessment, Biomedical