Benefit-risk Evaluation for Diagnostics: A Framework (BED-FRAME)

The medical community needs systematic and pragmatic approaches for evaluating the benefit-risk trade-offs of diagnostics that assist in medical decision making. Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME) is a strategy for pragmatic evaluation of diagnostics designed to suppleme...

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Bibliographic Details
Published in:Clinical infectious diseases 2016-09, Vol.63 (6), p.812-817
Main Authors: Evans, Scott R., Pennello, Gene, Pantoja-Galicia, Norberto, Jiang, Hongyu, Hujer, Andrea M., Hujer, Kristine M., Manca, Claudia, Hill, Carol, Jacobs, Michael R., Chen, Liang, Patel, Robin, Kreiswirth, Barry N., Bonomo, Robert A.
Format: Article
Language:English
Subjects:
Actinobacteria
Anti-Bacterial Agents - therapeutic use
Decision making
Decision Support Systems, Clinical
Diagnosis, Computer-Assisted
Diagnostic tests
Drug Resistance, Bacterial
Gram-Positive Bacterial Infections - drug therapy
HEALTHCARE EPIDEMIOLOGY
Humans
Invited
Medical errors
Models, Statistical
Performance evaluation
Prevalence
Risk Assessment - methods
Tradeoff analysis
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Summary:The medical community needs systematic and pragmatic approaches for evaluating the benefit-risk trade-offs of diagnostics that assist in medical decision making. Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME) is a strategy for pragmatic evaluation of diagnostics designed to supplement traditional approaches. BED-FRAME evaluates diagnostic yield and addresses 2 key issues: (1) that diagnostic yield depends on prevalence, and (2) that different diagnostic errors carry different clinical consequences. As such, evaluating and comparing diagnostics depends on prevalence and the relative importance of potential errors. BED-FRAME provides a tool for communicating the expected clinical impact of diagnostic application and the expected tradeoffs of diagnostic alternatives. BED-FRAME is a useful fundamental supplement to the standard analysis of diagnostic studies that will aid in clinical decision making.
ISSN:1058-4838
1537-6591
DOI:10.1093/cid/ciw329