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Diagnoses of dementia and depression: a latent trait analysis of their performance

Published online by Cambridge University Press:  09 July 2009

D. A. Grayson*
Affiliation:
NH & MRC Social Psychiatry Research Unit, The Australian National University, Canberra, Australia
A. S. Henderson
Affiliation:
NH & MRC Social Psychiatry Research Unit, The Australian National University, Canberra, Australia
D. W. K. Kay
Affiliation:
NH & MRC Social Psychiatry Research Unit, The Australian National University, Canberra, Australia
*
*Address for correspondence: Dr D. A. Grayson, NH & MRC Social Psychiatry Research Unit, Australian National University, GPO Box 4, Canberra ACT 2601, Australia

Synopsis

Four diagnostic systems for dementia and depression are compared on a community sample of 274 subjects. They are: DSM-III, Gurland's system, AGECAT and a clinician's ratings. These are compared, not in the usual terms of prevalence rates and cross-tabulations of diagnostic categories, but by examining the performance of each system in terms of hypothetical, continuously distributed traits underlying the symptoms of dementia and depression, as in the latent trait model described by Duncan-Jones et al. (1986). Each diagnosis is characterized by the level of severity (threshold) at which it operates, and its accuracy. Evidence is given to support a dimensional view of dementia.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1987

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References

American Psychiatric Association (1980). Diagnostic and Statistical Manual of Mental Disorders (3rd edn) (DSM-III). APA: Washington, D.C.Google Scholar
Bock, R. D. & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters. Psychometrika 46, 443459.CrossRefGoogle Scholar
Copeland, J. R. M., Kelleher, M. J., Kellett, J. M., Gourlay, A. J., Gurland, B. J., Fleiss, J. L. & Sharpe, L. (1976). A semi-structured clinical interview for the assessment of diagnosis and mental state in the elderly: the Geriatric Mental State Schedule. 1. Development and Reliability. Psychological Medicine 6, 439449.CrossRefGoogle Scholar
Copeland, J. R. M., Dewey, M. E. & Griffith-Jones, H. M. (1986). A computerized psychiatric diagnostic system and case nomenclature for elderly subjects. Psychological Medicine 16, 8999.CrossRefGoogle ScholarPubMed
Duncan-Jones, P., Grayson, D. A. & Moran, P. A. P. (1986). The utility of latent trait analysis in psychiatric epidemiology. Psychological Medicine 16, 391405.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. & McHugh, P. R. (1975). ‘Minimental state’. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research 12, 189198.CrossRefGoogle Scholar
Grayson, D. A. (1986). Latent trait analysis of the Eysenck Personality Questionnaire. Journal of Psychiatric Research 20, 217236.CrossRefGoogle ScholarPubMed
Grayson, D. A. (1987). Can categorical and dimensional views of psychiatric illness be distinguished? British Journal of Psychiatry (in the press).CrossRefGoogle Scholar
Gurland, B. J., Kuriansky, J., Sharpe, L., Simon, R., Stiller, P. & Birkett, P. (1977). The Comprehensive Assessment and Referral Evaluation (CARE) - rationale, development and reliability. International Journal of Ageing and Human Development 8, 942.CrossRefGoogle ScholarPubMed
Gurland, B. J. & Wilder, D. E. (1984). The CARE interview revisited: development of an efficient, systematic clinical assessment. Journal of Gerontology 39, 129137.CrossRefGoogle ScholarPubMed
Kay, D. W. K., Henderson, A. S., Scott, R, Wilson, J., Rickwood, D. & Grayson, D. A. (1985). Dementia and depression among the elderly living in the Hobart community: the effect of the diagnostic criteria on the prevalence rates. Psychological Medicine 15, 771788CrossRefGoogle ScholarPubMed
Kay, D. W. K., Henderson, A. S. & Grayson, D. A. (1987). Prospects for epidemiological research on dementia, (in the press).Google Scholar
Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Lawrence Erlbaum Associates: Hillsdale, New Jersey.Google Scholar
McDonald, R. P. (1982). Linear versus nonlinear models in item response theory. Applied Psychological Measurement 6, 379396.CrossRefGoogle Scholar