Decision analysis to complete diagnostic research by closing the gap between test characteristics and cost-effectiveness
Accepted 16 January 2009. published online 13 April 2009.
Abstract
Objective
The lack of a standard methodology in diagnostic research impedes adequate evaluation before implementation of constantly developing diagnostic techniques. We discuss the methodology of diagnostic research and underscore the relevance of decision analysis in the process of evaluation of diagnostic tests.
Study Design and Setting
Overview and conceptual discussion.
Results
Diagnostic research requires a stepwise approach comprising assessment of test characteristics followed by evaluation of added value, clinical outcome, and cost-effectiveness. These multiple goals are generally incompatible with a randomized design. Decision-analytic models provide an important alternative through integration of the best available evidence. Thus, critical assessment of clinical value and efficient use of resources can be achieved.
Conclusion
Decision-analytic models should be considered part of the standard methodology in diagnostic research. They can serve as a valid alternative to diagnostic randomized clinical trials (RCTs).
aDepartment of Neurology, University Medical Center Utrecht, The Netherlands
bJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
cDepartment of Epidemiology, University Medical Center Groningen, The Netherlands
Corresponding author. Department of Neurology, University Medical Center Utrecht, Heidelberglaan 100, PO Box 85500, 3508 GA Utrecht, The Netherlands. Tel.: +31-88-755-8600; fax: +31-30-254-2100.
ABSTRACT