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Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment

Authors :
Vije Kumar Rajput
Jack Dowie
Mette Kjer Kaltoft
Värri, Alpo
Delgado, Jaime
Gallos, Parisis
Hägglund, Maria
Häyrinen, Kristiina
Kinnunen, Ulla-Mari
Pape-Haugaard, Louise B.
Peltonen, Laura-Marie
Scott, Philip
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.

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