Linking evidence from health technology assessments to policy and decision making: the Alberta model.

Abstract

OBJECTIVES 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.

3 Figures and Tables

Statistics

020402008200920102011201220132014201520162017
Citations per Year

62 Citations

Semantic Scholar estimates that this publication has 62 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Borowski2007LinkingEF, title={Linking evidence from health technology assessments to policy and decision making: the Alberta model.}, author={Henry Z Borowski and Jon Brehaut and David Hailey}, journal={International journal of technology assessment in health care}, year={2007}, volume={23 2}, pages={155-61} }