Antidepressant selection and economic outcome: a review of methods and studies from clinical practice

Abstract

BackgroundEconomic considerations increasingly play a role in the selection of antidepressant drugs and are often based on analyses from prospective and retrospective studies. However, the non-randomisation found in retrospective studies may result in significant selection bias.AimsTo highlight the use of statistical methods in non-randomised studies and the application of those methods to economic analyses.MethodThe literature on the observational studies of economic outcomes with alternative antidepressants is reviewed and several statistical methodologies to control for biases that can occur in non-randomised study designs are described.ResultsIn comparisons of antidepressant drugs, differences in acquisition costs are consistently found to be at least offset by other components of care when broad measures of health care resource utilisation are considered.ConclusionsEconomic evaluations of antidepressants should be based on broad measures of health care expenditure and can rely on data generated in real-world settings if appropriate statistical methods are used to control for the potential biases of non-randomisation.