Targeting assessments of magnetic resonance imaging in suspected multiple sclerosis.
Decision-analytic methods can be valuable for targeting research in technology assessment. They can indicate whether further evaluation of a technology is warranted, and if so, which variables are key determinants of its clinical utility and cost-effectiveness. This approach was tested on a salient issue--whether magnetic resonance imaging (MR) should be used in evaluating patients with mild neurologic symptoms who might have multiple sclerosis (MS). The authors developed a decision-analytic model to assess the expected utility and costs associated with immediately using MR in this situation, compared with waiting for further symptoms to emerge before testing. Sensitivity analyses demonstrated that priorities for technology assessment research include estimating the value of information to patients in resolving uncertainty, evaluating the impact on patients of being labeled with a diagnosis of MS, and measuring the test characteristics of MR.
Mooney
C
C
Public Policy Analysis Program, University of Rochester, New York.
Mushlin
A I
AI
Phelps
C E
CE
D000328:Adult; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000191:economics; D008390:Markov Chains; D009103:Multiple Sclerosis / Q000175:diagnosis* / Q000191:economics; D010043:Outcome and Process Assessment, Health Care; D012008:Recurrence; D012680:Sensitivity and Specificity; D013673:Technology Assessment, Biomedical