Cognitive difficulties represent the hallmark of many neurodegenerative conditions and, in relation to dementia, cognitive evaluation represents one major pillar of current methods of detection and diagnosis. There are, however, many difficulties with existing cognitive tests and this project has been designed to address this issue. The need for and the potential benefits of early and accurate detection of MCI and dementia is well-recognised. Early and accurate detection is, however, complex and, at present, is subject to high diagnostic error rates. With the expected advent of new effective drug treatments for different neurodegenerative diseases (e.g. Alzheimer’s disease), early and accurate diagnosis will be even more vital in the future.
Using the principles of what is known as the Qualitative Process Approach (QPA), the goal of this project is to identify and develop a battery of cognitive tests, both in traditional paper-and-pencil form and, when clinically appropriate, in a computerized version, with the aim of enabling a wide range of clinicians improve early and accurate diagnosis. Patients, families and society will benefit from earlier detection, earlier intervention, and reduced healthcare costs, as the improvement in the accuracy of the diagnosis of neurodegenerative conditions will subsequently impact in planning appropriate early interventions and saving millions of Euros associated to both formal and informal care of older people with dementia.