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Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review |
Aslam RW, Bates V, Dundar Y, Hounsome J, Richardson M, Krishan A, Dickson R, Boland A, Kotas E, Fisher J, Sikdar S, Robinson |
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Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation Aslam RW, Bates V, Dundar Y, Hounsome J, Richardson M, Krishan A, Dickson R, Boland A, Kotas E, Fisher J, Sikdar S, Robinson. Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review. Health Technology Assessment 2016; 20(77) Authors' objectives Cognitive impairment is a growing public health concern, and is one of the most distinctive characteristics of all dementias. The timely recognition of dementia syndromes can be beneficial, as some causes of dementia are treatable and are fully or partially reversible. Several automated cognitive assessment tools for assessing mild cognitive impairment (MCI) and early dementia are now available. Proponents of these tests cite as benefits the tests' repeatability and robustness and the saving of clinicians' time. However, the use of these tools to diagnose and/or monitor progressive cognitive impairment or response to treatment has not yet been evaluated.
The aim of this review was to determine whether or not automated computerised tests could accurately identify patients with progressive cognitive impairment in MCI and dementia and, if so, to investigate their role in monitoring disease progression and/or response to treatment. Authors' conclusions The quantity of information available is insufficient to be able to make recommendations on the clinical use of the computerised tests for diagnosing and monitoring MCI and early dementia progression. The value of these tests also depends on the costs of acquisition, training, administration and scoring. Indexing Status Subject indexing assigned by CRD MeSH Cognition; Cognition Disorderss; Neuropsychological Tests Language Published English Country of organisation England English summary An English language summary is available. Address for correspondence NETSCC, Health Technology Assessment, Alpha House, University of Southampton Science Park, Southampton, SO16 7NS UK Tel: +44 23 8059 5586 Email: hta@hta.ac.uk AccessionNumber 32015001012 Date abstract record published 23/09/2015 |
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