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HTA - 07/54/01

Avoiding and identifying errors in health technology assessment models

Project title: Avoiding and identifying errors in health technology assessment models

Call to action: 14/99 HTA Technology Assessment Reports

Research type: Evidence Synthesis

Chief investigator: Professor Eva KaltenthalerORCID

Lead Author: Professor James Chilcott

Contractor: The University of Sheffield

Co-investigators: Ms Andrea Shippam, Professor James Chilcott.

Started: September 2007 | Status: Published May 2010

Study found that a complex network of cognitive breakdowns lead to errors in models; interaction between modeller and client in developing mutual understanding of a model establishes that model's significance and its warranty so model validation should not be externalised from the decision-makers and the decision-making process.

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