Decision and cost analysis in acoustic neuroma diagnosis.
Demonstrating improved outcomes and cost containment are current health care imperatives. For many diseases, competing diagnostic tests are available. Each has a direct economic cost and indirect costs based on missed disease. It is often difficult to determine the most efficient testing strategy for a given patient. Clinical Decision Analysis can optimise diagnostic strategies to maximise cost-effectiveness. Analytic techniques are developed to allow analysis of diagnostic strategies that include multi-test protocols. The test parameters required for modelling these strategies are derived from a literature analysis.
Bance
M L
ML
Department of Otolaryngology, University of Toronto Faculty of Medicine, Mount Sinai Hospital, Ontario.
Hyde
M L
ML
Malizia
K
K
D001300:Audiometry, Evoked Response / Q000191:economics; D003198:Computer Simulation; D003287:Contrast Media / Q000191:economics; D003362:Cost-Benefit Analysis; D003365:Costs and Cost Analysis; D003661:Decision Support Techniques; D003663:Decision Trees; D004584:Electronystagmography / Q000191:economics; D005188:False Negative Reactions; D005189:False Positive Reactions; D005682:Gadolinium / Q000191:economics; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000191:economics; D009464:Neuroma, Acoustic / Q000175:diagnosis* / Q000191:economics; D011237:Predictive Value of Tests; D011336:Probability; D012372:ROC Curve; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000191:economics
D003287:Contrast Media; D005682:Gadolinium