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Italian version of the organic brain syndrome and the depression scales from the CARE: evaluation of their performance in geriatric institutions

Published online by Cambridge University Press:  09 July 2009

Alberto Spagnoli ,
Giovanni Foresti ,
Alastair Macdonald  and
Paul Williams
Alberto Spagnoli*
Affiliation:
Istituto di Ricerche ‘Mario Negri’, Milan; United Medical and Dental Schools, Guy's Hospital, London and General Practice Research Unit, Institute of Psychiatry, London
Giovanni Foresti
Affiliation:
Istituto di Ricerche ‘Mario Negri’, Milan; United Medical and Dental Schools, Guy's Hospital, London and General Practice Research Unit, Institute of Psychiatry, London
Alastair Macdonald
Affiliation:
Istituto di Ricerche ‘Mario Negri’, Milan; United Medical and Dental Schools, Guy's Hospital, London and General Practice Research Unit, Institute of Psychiatry, London
Paul Williams
Affiliation:
Istituto di Ricerche ‘Mario Negri’, Milan; United Medical and Dental Schools, Guy's Hospital, London and General Practice Research Unit, Institute of Psychiatry, London
*
1Address for correspondence: Dr A. Spagnoli, Istituto di Ricerche, ‘Mario Negri’, via Eritrea 62, Milan, Italy
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Synopsis

The Organic Brain Syndrome (OBS) and the Depression (D) scales derived from the Comprehensive Assessment and Referral Evaluation (CARE) were translated into Italian and used in a survey of geriatric institutions in Milan. During the survey validity and reliability tests of the scales were conducted.

Inter-rater reliability (total score weighted kappa) was highly satisfactory for both scales (0·96 for OBS and 0·83 for D scale). Reliability was assessed three times during the survey and showed good stability for both scales, with a slight but significant trend towards reduction over time for the D scale. Reliability of the D scale was significantly lower when the subjects interviewed scored highly on the OBS scale (severe cognitive impairment).

Criterion validity was highly satisfactory both for the OBS scale (cut-off point 4/5: sensitivity 77%, specificity 96%, positive predictive value 91%) and the D scale (cut-off point 10/11: sensitivity 95%, specificity 92%, positive predictive value 84%).

Results are discussed with special reference to longitudinal assessment of reliability, the choice of the cut-off point, and the context-dependent properties of questionnaires.

Type
Research Article
Information
Psychological Medicine , Volume 17 , Issue 2 , May 1987 , pp. 507 - 513
Copyright
Copyright © Cambridge University Press 1987

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References

Buck, A. A. & Gart, J. J. (1966). Comparison of a screening test and a reference test in epidemiologic studies. I. Indices of agreement and their relation to prevalence. American Journal of Epidemiology 83, 586–592.CrossRefGoogle Scholar
Cicchetti, D V. (1976). Assessing inter-rater reliability for rating scales: resolving some basic issues. British Journal of Psychiatry 129, 452–456.CrossRefGoogle ScholarPubMed
Cohen, J. (1968). Weighted kappa: nominal scale agreement with provisions for scaled disagreement or partial credit. Psychological Bulletin 70, 213–220.CrossRefGoogle ScholarPubMed
Diagnostic and Statistical Manual of Mental Disorders, 3rd edn (1980). American Psychiatric Association, Washington DC.Google Scholar
Diamond, E. L. & Lilienfeld, A. D. (1962). Effects of errors in classification and diagnosis in various types of epidemiological studies. American Journal of Public Health 52, 1137–1144.CrossRefGoogle ScholarPubMed
Erdreich, L. S. & Lee, E. T. (1981). Use of relative operating characteristic analysis in epidemiology. American Journal of Epidemiology 114,649–662.CrossRefGoogle ScholarPubMed
Feighner, J. P., Robins, E. & Guze, S. B. (1972). Diagnostic criteria for use in psychiatric research. Archives of General Psychiatry 26, 57–63.CrossRefGoogle ScholarPubMed
Fleiss, J. L. (1981). Statistical Methods for Rates and Proportions. John Wiley: New York.Google Scholar
Goldberg, D. (1981). Estimating the prevalence of psychiatric disorders from the results of a screening test. In What is a case? The Problem of Definition in Psychiatric Community Surveys. (ed. Wing, J K., Bebbington, P. &Robins, L. N.), pp. 129–136. Grant MacIntyre: London.Google Scholar
Golden, R. G., Teresi, J. A. & Gurland, B. J. (1984). Development of Indicator Scales for the Comprehensive Assessment and Referral Evaluation (CARE) Interview Schedule. Journal of Gerontology 39, 138–146.CrossRefGoogle ScholarPubMed
Gurland, B. J., Copeland, J. R. M., Kelleher, M. J., Kuriansky, J., Sharpe, L. (1983). The Mind and Mood of Aging. Haworth Press: New York.Google Scholar
Gurland, B. J. & Wilder, D. E. (1984). The CARE interview revisited: development of an efficient, systematic clinical assessment. Journal of Gerontology 39, 129–137.CrossRefGoogle ScholarPubMed
Mann, A. H., Graham, N. & Ashby, D. (1984). Psychiatric illness in residential homes for the elderly: a survey in one London borough. Age and Ageing 13, 257–265.CrossRefGoogle ScholarPubMed
Mari, J. J. & Williams, P. (1985). A comparison of the validity of two psychiatric screening questionnaires (GHQ-12 and SRQ-20) in Brazil, using Relative Operating Characteristic (ROC) analysis. Psychological Medicine 15, 651–659.CrossRefGoogle ScholarPubMed
Mari, J. J. & Williams, P. (1986). Misclassification by psychiatric screening questionnaires. Journal of Chronic Diseases 39, 371–378.CrossRefGoogle ScholarPubMed
Metz, C. E. (1978). Basic principles of ROC analysis. Seminars in Nuclear Medicine 4, 283–298.CrossRefGoogle Scholar
Sanson-Fisher, R. W. & Martin, C. J. (1981). Standardized interviews in psychiatry: issues of reliability. British Journal of Psychiatry 139, 138–143.CrossRefGoogle ScholarPubMed
Shrout, P. E. & Fleiss, J. L. (1981). Reliability and case detection. In What is a Case? The Problem of Definition in Psychiatric Community Surveys. (ed. Wing, J. K., Bebbington, P. &Robins, L. N.), pp. 117–128. Grant MacIntyre: London.Google Scholar
Spagnoli, A. & Williams, P. (1984). Reversible dementia and depression (letter). British Journal of Psychiatry 145, 339–340.CrossRefGoogle Scholar
Swets, J. A. & Pickett, R. M. (1982). Evaluation of Diagnostic Systems: Methods from Signal Detection Theory. Academic Press: New York.Google Scholar
Tarnopolsky, A., Hand, D. J., McLean, E K., Roberts, H. &Wiggins, R. D. (1979). Validity and uses of a screening questionnaire in the community. British Journal of Psychiatry 134, 508–515.CrossRefGoogle ScholarPubMed
Teresi, J. A., Golden, R. R., Gurland, B. J., Wilder, D. E. & Bennett, R. G. (1984 a). Construct validity of indicator-scales developed from the comprehensive assessment and referral evaluation interview schedule. Journal of Gerontology 39, 147–157.CrossRefGoogle ScholarPubMed
Teresi, J. A., Golden, R R. & Gurland, B. J. (1984 b). Concurrent and predictive validity of indicator scales developed for the comprehensive assessment and referral evaluation interview schedule. Journal of Gerontology 39,158–165.CrossRefGoogle ScholarPubMed
Williams, P., Tarnopolsky, A. & Hand, D. J. (1980). Case definition and case identification in psychiatric epidemiology: review and assessment. Psychological Medicine 10, 101–114.CrossRefGoogle Scholar
Wing, J. K., Cooper, J. E. & Sartorius, N. (1974). The Measurement and Classification of Psychiatric Symptoms. Cambridge University Press: Cambridge.Google Scholar