Cost-effectiveness analysis using registry and administrative data

Abstract

Health administrative databases and disease registries can serve as valuable data sources for decision modeling and cost-effectiveness analyses. In this chapter, we give an overview of administrative databases in Canada and discuss how data from multiple registries and administrative databases can be linked, analyzed, and combined with experimental data to fit a decision analytic model. We illustrate with two examples of cost-effectiveness analyses of genetic tests used in cancer diagnosis and treatment decisions.