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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
Lead Author: Professor James Chilcott
Contractor: The University of Sheffield
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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