title: A clinician's guide to correct cost-effectiveness analysis: think incremental not average.
abstract: OBJECTIVE
  To explain how to correctly report the results from a cost-effectiveness analysis (CEA).
  
  
  METHODS
  Results were used from a hypothetical clinical trial to illustrate how different ways of reporting economic results affect both presentation of findings and formulation of conclusions. To provide context, we reviewed some high-profile exchanges in the scientific literature.
  
  
  RESULTS
  The critical issue with which decision makers must grapple involves the trade-offs introduced by a new treatment or intervention. Specifically, are decision makers willing to pay the additional cost for the additional outcomes? This question cannot be considered without estimates of the additional cost and additional outcomes. Correct cost-effectiveness measures, such as the incremental cost-effectiveness ratio or the incremental net benefit, address this issue.
  
  
  CONCLUSIONS
  As decision makers face the challenge of balancing increasing health care demand with cost containment, it will be crucial to identify cost-effective ways of providing care. Health care providers and other decision makers should not be misled by the results of improperly reported CEAs. Decisions around adoption of pharmaceuticals or implementation of new programs or interventions may be affected by which cost-effectiveness summary measure is reported. Thus consumers of CEA must have a basic understanding of why different methods give different results, and how the results should be interpreted.
authors.affiliation: Department of Health Policy, Management and Evaluation, Centre for Research on Inner City Health, The Keenan Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto, Ontario. jeffrey.hoch@utoronto.ca
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Hoch
authors.forename: Carolyn S
authors.initials: CS
authors.lastname: Dewa
mesh_terms: D003362:Cost-Benefit Analysis; D003659:Decision Making, Organizational; D006282:Health Personnel; D006801:Humans; D001523:Mental Disorders / Q000191:economics* / Q000628:therapy*