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Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment
- Source :
- Rajput, V K, Dowie, J & Kaltoft, M K 2020, Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment . in A Värri, J Delgado, P Gallos, M Hägglund, K Häyrinen, U-M Kinnunen, L B Pape-Haugaard, L-M Peltonen & P Scott (eds), Integrated Citizen Centered Digital Health and Social Care . vol. 275, IOS Press, Studies in Health Technology and Informatics, vol. 275, pp. 172-176 . https://doi.org/10.3233/SHTI200717
- Publication Year :
- 2020
- Publisher :
- IOS Press, 2020.
-
Abstract
- Population-level studies confirm the existence of significant rates of overdiagnosis and overtreatment in a number of conditions, particularly those for which the screening of asymptomatic individuals is routine. The implication is that the possibility of being overdiagnosed and/or overtreated must be mentioned as a possible harm in generating informed consent and participation from the individual invited to be screened. But how should the rates of such preference-insensitive population-level phenomena be introduced into preference-sensitive individual decision making? Three possible strategies are rejected, including the currently dominant one that involves presenting the rates relevant to overdiagnosis and overtreatment as discrete pieces of information about a single criterion (typically condition-specific mortality). Extensive quotation from a review of cancer decision aids confirms that processing this complex and isolated information is not a practical approach. However, the task is unnecessary, since an outcome-focused multicriteria decision support tool will incorporate the effects of overdiagnosis and overtreatment – along with the effects of any underdiagnosis and undertreatment.
- Subjects :
- Multicriteria decision
medicine.medical_specialty
conflict of interest
business.industry
Decision Quality Instrument
Decision Conflict Scale
Task (project management)
Harm
Decision aid
Informed consent
medicine
Decision aids
Overdiagnosis
Intensive care medicine
business
empirical evaluation
IPDAS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Rajput, V K, Dowie, J & Kaltoft, M K 2020, Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment . in A Värri, J Delgado, P Gallos, M Hägglund, K Häyrinen, U-M Kinnunen, L B Pape-Haugaard, L-M Peltonen & P Scott (eds), Integrated Citizen Centered Digital Health and Social Care . vol. 275, IOS Press, Studies in Health Technology and Informatics, vol. 275, pp. 172-176 . https://doi.org/10.3233/SHTI200717
- Accession number :
- edsair.doi.dedup.....f154b401b7729efba114d500a9698a37