Literature DB >> 25233059

Screening for dementia using an informant interview.

L M Waite, G A Broe, B Casey, H P Bennett, A F Jorm, H Creasey, J Cullen, D A Grayson.   

Abstract

The effectiveness of an informant interview as a screening and assessment instrument for dementia was evaluated in a community survey of 398 people aged 78 or over. Participants received a battery of neuropsychological tests and were diagnosed for dementia by Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV; American Psychiatric Association, 1994) criteria. Informants were independently interviewed about changes in everyday cognitive functioning over the previous five years. A factor analysis of the 31 items from the informant interview showed a large general factor. A long 31-item scale was constructed, as well as a short 12-item scale. The long scale had a sensitivity of 89% and a specificity of 89% for detecting dementia, while the short scale had a sensitivity of 83% and a specificity of 87%. Correlations with subtests of the neuropsychological battery ranged between .4 and .7. The informant scales were less affected by premorbid ability and education than was the Mini-Mental State Examination (MMSE).

Entities:  

Year:  1998        PMID: 25233059     DOI: 10.1076/anec.5.3.194.614

Source DB:  PubMed          Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn        ISSN: 1382-5585


  3 in total

1.  A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection.

Authors:  Fadi Thabtah; Ella Mampusti; David Peebles; Raymund Herradura; Jithin Varghese
Journal:  J Med Syst       Date:  2019-12-11       Impact factor: 4.460

2.  Characterizing healthy samples for studies of human cognitive aging.

Authors:  David S Geldmacher; Bonnie E Levin; Clinton B Wright
Journal:  Front Aging Neurosci       Date:  2012-09-12       Impact factor: 5.750

3.  Informant-based screening tools for diagnosis of dementia, an overview of systematic reviews of test accuracy studies protocol.

Authors:  Martin Taylor-Rowan; Sara Nafisi; Amit Patel; Jennifer K Burton; Terry J Quinn
Journal:  Syst Rev       Date:  2020-11-26
  3 in total

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